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Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Introduction: As Engineer in Charge of the CERN Proton Synchrotron ([PS](https://home.cern/science/accelerators/proton-synchrotron/)), you will contribute to the safe, efficient and performance-driven operation of the accelerator, combining operational follow up, technical problem solving, performance analysis and software development. You will play an active role in improving PS operation through data driven analysis, high level control applications and automation-oriented developments, with the aim of making operation more robust, reproducible and efficient. Functions: * Take an active role in the safe, efficient and performance-driven operation of the PS and its associated beam lines during commissioning, regular operation, and machine development studies. * Analyse PS operational issues, assess their impact on beam performance and availability, and collaborate with equipment experts, controls specialists and operations teams to define and implement effective solutions. * Drive automation-oriented developments for PS operation by identifying operational processes that can be made more robust, reproducible and efficient, and translating them into tools, procedures and applications that increase the autonomy of the accelerator. * Drive the performance optimisation of the PS beams for the LHC and the fixed target facilities, combining accelerator studies, operational data analysis and close collaboration with operations crews, machine experts and physics users. * Prepare, validate and improve operational settings, procedures and diagnostics required for reliable and reproducible PS operation. * Engage in cross-accelerator activities to share operational experience, promote synergies and develop common approaches for performance optimisation, software tools and automation, ensuring that best practices are transferred across CERN’s accelerator complex. * Develop, maintain and improve software tools, high level control applications and data analysis workflows supporting performance optimisation and operational decision making. * Propose, conduct and support machine development studies aimed at improving beam performance, operational efficiency and the understanding of PS limitations. * Share the operational status, performance analyses and improvement activities through clear updates, presentations and reports. * Identify and provide operational input for consolidation and upgrade activities, and future studies. ## Qualifications * Master's Degree or PhD or equivalent relevant experience in the field of Physics, Engineering or a related field. Experience: * Experience with accelerator operation or strong interest in developing a solid understanding of PS operation, accelerator systems and beam dynamics. * Experience in performance analysis, optimisation and the development or improvement of operational tools, with the motivation to become a key technical reference for PS operation. * Ability to understand and improve complex technical systems involving hardware, controls, software, operational constraints and beam performance aspects. * Proficiency in software development with Python, combined with experience in data analysis, diagnostics, performance monitoring or operational decision support. * Strong problem solving skills, with the ability to investigate technical issues, identify root causes and define pragmatic solutions in a complex operational environment. * Motivation and ability to drive automation, high level control applications and data driven methods to make accelerator operation more robust, reproducible and efficient. * Ability to work autonomously, take initiative and collaborate effectively with operations crews, equipment experts, controls specialists and other accelerator teams. * Ability to communicate technical results clearly through status updates, reports and presentations. * Knowledge of optimisation methods, feedback control or control algorithms would be an asset, in particular for applications to beam performance, automation or operational decision support. * Experience with operation, commissioning, performance optimisation or troubleshooting of complex scientific, technical or industrial facilities would be an advantage. * Knowledge of Java, accelerator controls, high level control applications or operational software would be an asset. Technical competencies: * Analysis and optimisation of accelerator performance. * Knowledge and application of software life-cycle tools and procedures. * Knowledge of programming techniques and languages. * Operation of accelerators. Behavioural competencies: * Solving Problems: producing workable and timely solutions that meet requirements. * Demonstrating Accountability: taking responsibility for own actions and decisions. * Demonstrating Flexibility: readily absorbing new techniques and working practices; proposing new or improved ways of working. * Communicating Effectively: expressing opinions, ideas and suggestions with conviction and in a logical/structured manner; keeping to the point. * Working in Teams: building and maintaining constructive and effective work relationships. Language skills: * Spoken and written English or French, with a commitment to learn the other language. ## Additional Information Eligibility and closing date: [Diversity](https://diversity.web.cern.ch/) has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all [Member States and Associate Member States](https://home.cern/about/member-states). This vacancy will be filled as soon as possible, and applications should normally reach us no later than 13.07.2026 at 23:59 CEST. Employment Conditions: Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position. Working Hours: 40 hours per week Job Flexibility: Hybrid This position involves: * Participation in a regular stand-by duty, including nights, Sundays and official holidays. * Work in Radiation Areas. * Interventions in underground installations. * A valid driving licence. Job grade: 6-7 Job reference: BE-OP-PS-2026-128-LD Field of work: Applied Physics Benchmark Job Title: Applied Physicist Global Benefits * A [competitive salary](https://careers.cern/pay-benefits-and-support/) (tax free), increasing in line with your years of relevant experience. * 30 days of paid leave per year plus 2 weeks annual closure. * Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. * Family, child and infant monthly allowances depending on your individual circumstances. * A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances. * Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure. Overview of CERN - Discover a world where the impossible is made possible! At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART! 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Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Introduction: As Engineer in Charge of the CERN Proton Synchrotron ([PS](https://home.cern/science/accelerators/proton-synchrotron/)), you will contribute to the safe, efficient and performance-driven operation of the accelerator, combining operational follow up, technical problem solving, performance analysis and software development. You will play an active role in improving PS operation through data driven analysis, high level control applications and automation-oriented developments, with the aim of making operation more robust, reproducible and efficient. Functions: * Take an active role in the safe, efficient and performance-driven operation of the PS and its associated beam lines during commissioning, regular operation, and machine development studies. * Analyse PS operational issues, assess their impact on beam performance and availability, and collaborate with equipment experts, controls specialists and operations teams to define and implement effective solutions. * Drive automation-oriented developments for PS operation by identifying operational processes that can be made more robust, reproducible and efficient, and translating them into tools, procedures and applications that increase the autonomy of the accelerator. * Drive the performance optimisation of the PS beams for the LHC and the fixed target facilities, combining accelerator studies, operational data analysis and close collaboration with operations crews, machine experts and physics users. * Prepare, validate and improve operational settings, procedures and diagnostics required for reliable and reproducible PS operation. * Engage in cross-accelerator activities to share operational experience, promote synergies and develop common approaches for performance optimisation, software tools and automation, ensuring that best practices are transferred across CERN’s accelerator complex. * Develop, maintain and improve software tools, high level control applications and data analysis workflows supporting performance optimisation and operational decision making. * Propose, conduct and support machine development studies aimed at improving beam performance, operational efficiency and the understanding of PS limitations. * Share the operational status, performance analyses and improvement activities through clear updates, presentations and reports. * Identify and provide operational input for consolidation and upgrade activities, and future studies. ## Qualifications * Master's Degree or PhD or equivalent relevant experience in the field of Physics, Engineering or a related field. Experience: * Experience with accelerator operation or strong interest in developing a solid understanding of PS operation, accelerator systems and beam dynamics. * Experience in performance analysis, optimisation and the development or improvement of operational tools, with the motivation to become a key technical reference for PS operation. * Ability to understand and improve complex technical systems involving hardware, controls, software, operational constraints and beam performance aspects. * Proficiency in software development with Python, combined with experience in data analysis, diagnostics, performance monitoring or operational decision support. * Strong problem solving skills, with the ability to investigate technical issues, identify root causes and define pragmatic solutions in a complex operational environment. * Motivation and ability to drive automation, high level control applications and data driven methods to make accelerator operation more robust, reproducible and efficient. * Ability to work autonomously, take initiative and collaborate effectively with operations crews, equipment experts, controls specialists and other accelerator teams. * Ability to communicate technical results clearly through status updates, reports and presentations. * Knowledge of optimisation methods, feedback control or control algorithms would be an asset, in particular for applications to beam performance, automation or operational decision support. * Experience with operation, commissioning, performance optimisation or troubleshooting of complex scientific, technical or industrial facilities would be an advantage. * Knowledge of Java, accelerator controls, high level control applications or operational software would be an asset. Technical competencies: * Analysis and optimisation of accelerator performance. * Knowledge and application of software life-cycle tools and procedures. * Knowledge of programming techniques and languages. * Operation of accelerators. Behavioural competencies: * Solving Problems: producing workable and timely solutions that meet requirements. * Demonstrating Accountability: taking responsibility for own actions and decisions. * Demonstrating Flexibility: readily absorbing new techniques and working practices; proposing new or improved ways of working. * Communicating Effectively: expressing opinions, ideas and suggestions with conviction and in a logical/structured manner; keeping to the point. * Working in Teams: building and maintaining constructive and effective work relationships. Language skills: * Spoken and written English or French, with a commitment to learn the other language. ## Additional Information Eligibility and closing date: [Diversity](https://diversity.web.cern.ch/) has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all [Member States and Associate Member States](https://home.cern/about/member-states). This vacancy will be filled as soon as possible, and applications should normally reach us no later than 13.07.2026 at 23:59 CEST. Employment Conditions: Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position. Working Hours: 40 hours per week Job Flexibility: Hybrid This position involves: * Participation in a regular stand-by duty, including nights, Sundays and official holidays. * Work in Radiation Areas. * Interventions in underground installations. * A valid driving licence. Job grade: 6-7 Job reference: BE-OP-PS-2026-128-LD Field of work: Applied Physics Benchmark Job Title: Applied Physicist Global Benefits * A [competitive salary](https://careers.cern/pay-benefits-and-support/) (tax free), increasing in line with your years of relevant experience. * 30 days of paid leave per year plus 2 weeks annual closure. * Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. * Family, child and infant monthly allowances depending on your individual circumstances. * A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances. * Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure. Overview of CERN - Discover a world where the impossible is made possible! At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART! 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close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry; interdisciplinary collaboration; Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork; ability to interact with people at all levels both within and outside the laboratory", "domainKnowledge" : "Synchrotron Imaging; Soil microbial communities; Carbon and nutrient cycling; Computational imaging; Synchrotron physics; Soil microbiology; Environmental chemistry", "domainList" : [ "synchrotron-imaging", "soil-microbial-communities", "carbon-and-nutrient-cycling", "computational-imaging", "synchrotron-physics", "soil-microbiology", "environmental-chemistry" ], "domainSpecificKnowledge" : [ "Synchrotron Imaging", "Soil microbial communities", "Carbon and nutrient cycling", "Computational imaging", "Synchrotron physics", "Soil microbiology", "Environmental chemistry" ], "toolProficiency" : [ "ML frameworks" ], "communicationSkills" : "Excellent communication skills; oral and written communication skills", "innovationCreativity" : "creativity in computational imaging", "problemSolvingSkills" : "complex data analysis problems; deliver robust computational solutions", "specialRequirements" : "background check, obtain a government access authorization", "outcomesObjectives" : "advance learning-enabled imaging methods; increase efficiency and improve image quality; construct coherent models of microbial organization across scales", "qualificationsBasic" : "Ph. D. completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field, expertise in machine learning, computational imaging, computer vision, or signal processing, Proficiency in scientific programming and modern ML frameworks, ability to implement and debug research-grade algorithms, Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions, Excellent communication skills, interest in interdisciplinary collaboration, Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork, Interpersonal skills, oral and written communication skills, ability to interact with people at all levels both within and outside the laboratory", "qualificationsPreferred" : "Experience with synchrotron or tomographic imaging datasets, Background in inverse problems or physics-informed machine learning, Exposure to scientific imaging applications (for example, biological, environmental, or materials science)", "remoteFriendly" : false, "rawDescription" : "_Position Overview_ We are seeking a Postdoctoral Appointee to join the Computational Science and Artificial Intelligence Group in the X-ray Science Division of the Advanced Photon Source (APS) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied mathematics, or physics to apply their expertise to challenging problems in computational imaging, while collaborating with leading experts in physics, biology, and environmental science. _Research Context_ Soil microbial communities play a fundamental role in carbon and nutrient cycling, yet their spatial organization and interactions have remained difficult to study because of the opacity and complexity of soil. The APS at Argonne National Laboratory is a world-leading synchrotron facility recently upgraded to deliver nanometer-to-micron resolution imaging with dramatically increased X-ray flux. This makes it possible to visualize the interplay of soil structure and microbial life at scales bridging nanometers to millimeters, creating a unique opportunity to investigate how microbial communities are organized and interact within their natural environments. _Your Role_ This position focuses on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, spanning the full experimental cycle from real-time X-ray measurements to post-experiment reconstruction: * Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. * Implement adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality. * Advance multimodal analysis methods that align and fuse structural, chemical, and biological signals to construct coherent models of microbial organization across scales. Success in this role will require creativity in computational imaging, machine learning, and signal processing, as well as close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry. May be required to perform other duties as assigned. **Position Requirements** * Ph.D. completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field. * Strong expertise in machine learning, computational imaging, computer vision, or signal processing. * Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research-grade algorithms. * Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions. * Excellent communication skills and a strong interest in interdisciplinary collaboration. * Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. * Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory. **Preferred Knowledge, Skills, and Experience** * Experience with synchrotron or tomographic imaging datasets. * Background in inverse problems or physics-informed machine learning. * Exposure to scientific imaging applications (for example, biological, environmental, or materials science). **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time ### The expected hiring range for this position is $72,879.00-$121,465.00. ### Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click [_here_](https://www.anl.gov/hr/healthcare-insurance) to view Argonne employee benefits! ### _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne 's Legal Department. _ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._", "summaryDescription" : "Postdoctoral Appointee - AI for Synchrotron Imaging at Argonne National Laboratory. Skills: Machine Learning, Computational Imaging, Signal Processing. Develop learning-enabled algorithms for 3D reconstruction. Implement adaptive acquisition strategies", "postedDate" : "2026-05-29T10:17:50.013", "createdAt" : "2026-05-29T10:17:49.987", "lastUpdated" : "2026-05-29T10:31:07.050", "ingestTimestamp" : "2026-05-29T10:17:49.987", "mongoId" : "6a19361f58b93c861e40b653", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Postdoctoral-Appointee---AI-for-Synchrotron-Imaging_422767", "salaryAnnualMin" : 72879, "salaryAnnualMax" : 121465, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Computational imaging", "Computer vision", "Signal processing", "Scientific programming", "ML frameworks", "3D reconstruction", "Adaptive acquisition", "Multimodal analysis", "Machine Learning", "Computational Imaging", "Signal Processing", "Interdisciplinary collaboration", "Complex data analysis", "Robust computational solutions", "Synchrotron Imaging", "Soil microbial communities", "Carbon and nutrient cycling", "Synchrotron physics", "Soil microbiology", "Environmental chemistry" ], "skillCount" : 21, "jobCategory" : "human-resources", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 664.0341, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Research" }, { "id" : "6a21039f74d8ee00a0ac8f29", "title" : "Postdoctoral Appointee - AI for Synchrotron Imaging", "company" : "Argonne National Laboratory", "salary" : { "min" : 72879.0, "max" : 121465.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Lemont, IL USA", "locations" : [ "Lemont, IL USA", "United States of America" ], "timestamp" : "2026-06-04T17:01:19.820", "fingerprint" : "cb23eaf844a739685dc69b366a1cae27f06d19effac18d4809be48e8fe42deba", "source" : "workday", "language" : "en", "applyUrl" : "https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Postdoctoral-Appointee---AI-for-Synchrotron-Imaging_422767", "externalId" : "422767", "locationPoint" : "41.67364,-88.00173", "structuredLocations" : [ { "city" : "Lemont", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.6737149,-88.0016263" } ], "locationText" : "Lemont, Illinois, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine learning, Computational imaging, Computer vision, Signal processing, Scientific programming, ML frameworks", "professionalSkills" : [ "Interdisciplinary collaboration" ], "hardSkillsList" : [ "3D reconstruction", "Adaptive acquisition strategies", "Multimodal analysis" ], "softSkillsList" : [ "Integrity", "Teamwork" ], "hardSkills" : [ { "name" : "3D reconstruction", "level" : "intermediate" }, { "name" : "Adaptive acquisition strategies", "level" : "intermediate" }, { "name" : "Multimodal analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Integrity" }, { "name" : "Teamwork" } ], "majorSkills" : "Machine learning, Computational imaging, Signal processing, 3D reconstruction", "majorSkillsList" : [ "Machine learning", "Computational imaging", "Signal processing", "3D reconstruction" ], "coreResponsibilities" : "Develop learning-enabled algorithms for 3D reconstruction, Implement adaptive acquisition strategies, Advance multimodal analysis methods, Align and fuse structural signals, Fuse chemical signals, Fuse biological signals, Construct coherent models", "teamCollaboration" : "Interdisciplinary collaboration; Collaborate with experts", "domainKnowledge" : "Synchrotron imaging; Soil microbial communities; Carbon cycling; Nutrient cycling; Inverse problems; Physics-informed machine learning; Biological imaging; Environmental imaging; Materials science imaging", "domainList" : [ "synchrotron-imaging", "soil-microbial-communities", "carbon-cycling", "nutrient-cycling", "inverse-problems", "physics-informed-machine-learning", "biological-imaging", "environmental-imaging", "materials-science-imaging" ], "domainSpecificKnowledge" : [ "Synchrotron imaging", "Soil microbial communities", "Carbon cycling", "Nutrient cycling", "Inverse problems", "Physics-informed machine learning", "Biological imaging", "Environmental imaging", "Materials science imaging" ], "communicationSkills" : "Oral communication; Written communication", "innovationCreativity" : "Creativity in computational imaging", "problemSolvingSkills" : "Complex data analysis problems", "qualificationsBasic" : "Ph. D. completed in past 5 years, Expertise in machine learning, Expertise in computational imaging, Expertise in computer vision, Expertise in signal processing, Proficiency in scientific programming, Proficiency in modern ML frameworks, Implement and debug research-grade algorithms, Work on complex data analysis problems, Deliver robust computational solutions, Excellent communication skills, Interest in interdisciplinary collaboration, Model Argonne’s core values, Interpersonal skills, Oral communication skills, Written communication skills, Interact with people at all levels", "qualificationsPreferred" : "Experience with synchrotron imaging datasets, Experience with tomographic imaging datasets, Background in inverse problems, Background in physics-informed machine learning, Exposure to scientific imaging applications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "_Position Overview_ We are seeking a Postdoctoral Appointee to join the Computational Science and Artificial Intelligence Group in the X-ray Science Division of the Advanced Photon Source (APS) at Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied mathematics, or physics to apply their expertise to challenging problems in computational imaging, while collaborating with leading experts in physics, biology, and environmental science. _Research Context_ Soil microbial communities play a fundamental role in carbon and nutrient cycling, yet their spatial organization and interactions have remained difficult to study because of the opacity and complexity of soil. The APS at Argonne National Laboratory is a world-leading synchrotron facility recently upgraded to deliver nanometer-to-micron resolution imaging with dramatically increased X-ray flux. This makes it possible to visualize the interplay of soil structure and microbial life at scales bridging nanometers to millimeters, creating a unique opportunity to investigate how microbial communities are organized and interact within their natural environments. _Your Role_ This position focuses on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, spanning the full experimental cycle from real-time X-ray measurements to post-experiment reconstruction: * Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. * Implement adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality. * Advance multimodal analysis methods that align and fuse structural, chemical, and biological signals to construct coherent models of microbial organization across scales. Success in this role will require creativity in computational imaging, machine learning, and signal processing, as well as close collaboration with experts in computational science, electrical engineering, synchrotron physics, soil microbiology, and environmental chemistry. May be required to perform other duties as assigned. **Position Requirements** * Ph.D. completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field. * Strong expertise in machine learning, computational imaging, computer vision, or signal processing. * Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research-grade algorithms. * Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions. * Excellent communication skills and a strong interest in interdisciplinary collaboration. * Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. * Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory. **Preferred Knowledge, Skills, and Experience** * Experience with synchrotron or tomographic imaging datasets. * Background in inverse problems or physics-informed machine learning. * Exposure to scientific imaging applications (for example, biological, environmental, or materials science). **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time ### The expected hiring range for this position is $72,879.00-$121,465.00. ### Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click [_here_](https://www.anl.gov/hr/healthcare-insurance) to view Argonne employee benefits! ### _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne 's Legal Department. _ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._", "summaryDescription" : "Postdoctoral Appointee - AI for Synchrotron Imaging at Argonne National Laboratory. Skills: Machine learning, Computational imaging, Signal processing, 3D reconstruction. Develop learning-enabled algorithms for 3D reconstruction. Implement adaptive acquisition strategies", "postedDate" : "2026-05-29T08:20:48.379", "createdAt" : "2026-06-04T08:20:48.100", "lastUpdated" : "2026-06-04T17:01:19.820", "ingestTimestamp" : "2026-06-04T08:20:48.100", "mongoId" : "6a21039f74d8ee00a0ac8f29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Postdoctoral-Appointee---AI-for-Synchrotron-Imaging_422767", "salaryAnnualMin" : 72879, "salaryAnnualMax" : 121465, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "3D reconstruction", "Adaptive acquisition strategies", "Multimodal analysis", "Integrity", "Teamwork", "Machine learning", "Computational imaging", "Signal processing", "Interdisciplinary collaboration", "Synchrotron imaging", "Soil microbial communities", "Carbon cycling", "Nutrient cycling", "Inverse problems", "Physics-informed machine learning", "Biological imaging", "Environmental imaging", "Materials science imaging" ], "skillCount" : 18, "jobCategory" : "human-resources", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 662.68646, "daysOld" : 6, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307f57f292fd229c058183", "title" : "Postdoctoral Fellow", "industry" : "Clinical", "salary" : { "min" : 55000.0, "max" : 60000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "New York, NY", "locations" : [ "New York, NY", "Bronx, NY", "Rochester, NY", "Albany, NY", "Yonkers, NY" ], "certifications" : [ "APA-accredited pre-doctoral internship" ], "timestamp" : "2026-06-16T15:07:12.362", "fingerprint" : "faa9269d7b97ee855142f5ec61e0962e49878a786bfda538d17e5db02cb2b5f1", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/athenapsych/c85774c2-78bd-42c6-ba4e-6227eb87b61e/apply", "externalId" : "c85774c2-78bd-42c6-ba4e-6227eb87b61e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Excel, G-Suite", "professionalSkills" : [ "Clinical supervision", "Treatment planning", "Psychological testing", "Quality improvement" ], "hardSkillsList" : [ "Individual therapy", "Group therapy", "Intake interviews" ], "softSkillsList" : [ "Interpersonal skills", "Communication skills" ], "hardSkills" : [ { "name" : "Individual therapy", "level" : "intermediate" }, { "name" : "Group therapy", "level" : "intermediate" }, { "name" : "Intake interviews", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Interpersonal skills" }, { "name" : "Communication skills" } ], "majorSkills" : "Clinical Psychology, Therapy delivery", "majorSkillsList" : [ "Clinical Psychology", "Therapy delivery" ], "coreResponsibilities" : "Provide clinical hours, Collaborate with multidisciplinary team, Develop treatment plans, Implement treatment plans, Provide coordinated care, Provide supplemental clinical supervision, Deliver didactic presentations, Complete quality improvement project, Assist facilitating intern seminars, Assist development of intern programming, Perform other related duties", "teamCollaboration" : "Multidisciplinary team; Social workers; Psychiatrists; Nurses; Peers; Clinicians", "domainKnowledge" : "NYS Mandated Reporting; HIPAA Regulations; Privacy statutes; Evidence-based psychology", "domainList" : [ "nys-mandated-reporting", "hipaa-regulations", "privacy-statutes", "evidence-based-psychology" ], "domainSpecificKnowledge" : [ "NYS Mandated Reporting", "HIPAA Regulations", "Privacy statutes", "Evidence-based psychology" ], "communicationSkills" : "Didactic presentations", "documentationSkills" : "Documentation standards", "continuousLearning" : "Ongoing professional development", "qualificationsBasic" : "APA-accredited pre-doctoral internship, Completed PhD or PsyD coursework, NYS psychology limited permit, Knowledge of evidence-based psychology, Knowledgeable in NYS Mandated Reporting, Knowledgeable in HIPAA Regulations, Electronic Medical Record systems experience", "qualificationsPreferred" : "Bilingual in Spanish preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Duties and Responsibilities Responsible for 20-25 clinical hours per week (individual/group therapy, intake interviews, psychological testing as available) Collaborate with a multidisciplinary team, including social workers, psychiatrists, nurses, peers, and other clinicians, to develop and implement treatment plans and provide coordinated care. Provide optional supplemental clinical supervision to MSW/MHC interns secondary to their primary supervision meetings to support additional clinical development. Deliver 2 didactic presentations during the year to clinicians during case conferences Complete a quality improvement project under the supervision of the clinical director Assist in facilitating intern seminars and in the development of intern programming. Other related duties as assigned by the Clinical Director and Athena leadership. ## Qualifications Completion of an APA-accredited pre-doctoral internship prior to post-doc start date. Must have completed all coursework and requirements towards Ph.D. or Psy.D in Clinical or Counseling Psychology. Degree conferral is required prior to official fellowship start date. Obtained NYS psychology limited permit. Knowledge of evidence-based psychology practices. Knowledgeable in NYS Mandated Reporting requirements Knowledgeable in HIPAA Regulations and other relevant privacy statutes. Excellent interpersonal and communication skills. Proven ability to manage multiple priorities and work collaboratively in a team environment. Previous experience using electronic Medical Record systems and documentation standards. Commitment to ongoing professional development and staying current with industry trends. Cultural competence and the ability to work with diverse populations Strong computer skills and proficiency with Word, Excel, G-Suite, and other software/applications. Bilingual in Spanish preferred but not required.", "summaryDescription" : "Postdoctoral Fellow. Skills: Clinical Psychology, Therapy delivery. Provide clinical hours. Collaborate with multidisciplinary team", "postedDate" : "2026-06-15T21:53:44.772", "createdAt" : "2026-06-15T21:53:44.772", "lastUpdated" : "2026-06-16T15:07:12.362", "ingestTimestamp" : "2026-06-16T03:25:51.950", "mongoId" : "6a307f57f292fd229c058183", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 60000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Individual therapy", "Group therapy", "Intake interviews", "Interpersonal skills", "Communication skills", "Clinical Psychology", "Therapy delivery", "Clinical supervision", "Treatment planning", "Psychological testing", "Quality improvement", "NYS Mandated Reporting", "HIPAA Regulations", "Privacy statutes", "Evidence-based psychology", "APA-accredited pre-doctoral internship" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 586.4263, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305571f292fd229cf1f9be", "title" : "Postdoctoral Research Associate", "company" : "The University of Sydney", "industry" : "Biotech", "salary" : { "min" : 113400.0, "max" : 113400.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-16T12:27:11.517", "fingerprint" : "b2325af0fe16b718b957dc231a61db891fab0fcc3c77c3cad9bccfb271b0479f", "source" : "workday", "language" : "en", "applyUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate---Herpesvirus-and-Viral-Immunology-group_0151250-1", "externalId" : "0151250", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "employmentType" : "FULL_TIME", "technicalSkills" : "Molecular biology, Cell biology", "professionalSkills" : [ "Research planning", "Organisation", "Customer service" ], "hardSkillsList" : [ "Immunology assays", "Data analysis" ], "softSkillsList" : [ "Excellence", "Respectful" ], "hardSkills" : [ { "name" : "Immunology assays", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Excellence" }, { "name" : "Respectful" } ], "majorSkills" : "Viral immunology, Mammalian cell culture, Molecular biology, Immunology assays", "majorSkillsList" : [ "Viral immunology", "Mammalian cell culture", "Molecular biology", "Immunology assays" ], "coreResponsibilities" : "Conduct research, Contribute to discipline knowledge, Develop research skills, Supervise Honours students, Supervise PhD students, Ensure quality in research, Maintain standards in research, Provide mentoring to students, Carry out administrative tasks, Contribute to faculty meetings, Contribute to school meetings, Contribute to positive workplace culture, Interact with students professionally, Interact with staff professionally, Interact with university community professionally, Maintain understanding of strategic agenda, Contribute to furthering strategic agenda, Contribute to strategic direction, Undertake other duties, Contribute to projects", "teamCollaboration" : "Collaborative research initiatives; Positive workplace culture", "domainKnowledge" : "Herpesviruses; Viral immunology; Varicella zoster virus; Herpes simplex virus; Human cytomegalovirus; Human host interaction", "domainList" : [ "herpesviruses", "viral-immunology", "varicella-zoster-virus", "herpes-simplex-virus", "human-cytomegalovirus", "human-host-interaction" ], "domainSpecificKnowledge" : [ "Herpesviruses", "Viral immunology", "Varicella zoster virus", "Herpes simplex virus", "Human cytomegalovirus", "Human host interaction" ], "toolProficiency" : [ "Microscopy", "Image analysis", "Flow cytometry" ], "communicationSkills" : "Effective presentations", "specialRequirements" : "Pre-employment checks, Background checks", "qualificationsBasic" : "PhD in immunology and/or virology, Demonstrated understanding of subject matter, Experience conducting original research, Experience in immunology and/or virology, Significant experience with mammalian cell culture, Experience with flow cytometry, Experience with microscopy, Experience with image analysis, Experience with molecular biology techniques, Experience with cell biology techniques, Experience with immunology-based assays, Experience with analysis of associated data sets, Unrestricted work rights in Australia", "qualificationsPreferred" : "Developing research profile, Developing network of academic partners", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* **Full time, fixed term for 12 months** * **Exciting opportunity to join the School of Medical Sciences as a Postdoctoral Research Associate** * **Base Salary starting from $113,400 + 17% superannuation ** **About the opportunity** The School of Medical Sciences is recognised as one of the leading centres for medical science education and research. With over 100 years of excellence, the school is committed to advancing knowledge, training future leaders, and delivering impactful research across a range of disciplines. We are seeking a Postdoctoral Research Associate in the Herpesvirus and Viral Immunology group to apply and develop their expertise in conducting high-quality research that advances the research agenda of the faculty or school. The role involves contributing to research activities independently or as part of a team, developing scholarly outputs, and supporting collaborative research initiatives within the discipline. We are seeking to recruit a Postdoctoral Research Associate to provide technical knowledge and expertise in support of the Chief Investigator and other senior investigators to expand the research program on human herpesviruses. The main focus of this role is performing laboratory-based research predominantly working with Varicella zoster virus (VZV), herpes simplex virus (HSV), and human cytomegalovirus (HCMV), mammalian cell culture and molecular biology and immunological based techniques to further our understanding of the complex interplay between these viruses and the human host. Your key responsibilities will be to: * conduct research, scholarly or professional activity independently or as part of a team, contributing to discipline knowledge * develop and refine independent research skills under the supervision of senior academic staff with increasing autonomy * play a supervisory role for Honours and PhD students within the research group * ensure quality, standards and excellence are maintained in research activities and outputs * provide informal mentoring and advice to students within the discipline where appropriate * carry out administrative tasks and contribute to faculty or school meetings * contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes are valued and enabled * interact with students, staff and members of the university community in a professional, collegial and respectful manner * maintain an understanding of the university’s strategic agenda and contribute to furthering that agenda * contribute to the strategic direction of the faculty or school as articulated through relevant strategic plans * undertake other duties and contribute to projects appropriate within the classification level as required. **About you** * PhD in immunology and/or virology * demonstrated understanding of the subject matter within the discipline * experience conducting original research and engaging in scholarly activity in immunology and/or virology * significant experience with mammalian cell culture and techniques such as flow cytometry, microscopy and image analysis, molecular and cell biology techniques, immunology-based assays and analysis of associated data sets * developing research profile in the discipline or area of expertise * developing network of academic partners * strong skills in research, planning and organisation, computer literacy, effective presentations, communication and customer service **Sponsorship / work rights for** **Australia** **Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment.** **Pre-employment checks** Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. **EEO statement** At the University of Sydney, our shared values are [trust, accountability and excellence](https://www.sydney.edu.au/about-us/vision-and-values.html) and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to [diversity and inclusion](https://www.sydney.edu.au/about-us/vision-and-values/diversity.html), evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of [Aboriginal and Torres Strait Islander People](https://www.sydney.edu.au/about-us/careers-at-sydney/indigenous-careers.html), [women](https://www.sydney.edu.au/about-us/vision-and-values/diversity/gender-equity.html), [people living with a disability](https://www.sydney.edu.au/about-us/careers-at-sydney/careers-for-people-with-disability.html), [people from culturally and linguistically diverse backgrounds](https://www.sydney.edu.au/about-us/vision-and-values/diversity/cultural-diversity.html), and those who identify as [LGBTIQ+](https://www.sydney.edu.au/about-us/vision-and-values/diversity/lgbtiq-community.html). We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. [Find out more about our work on diversity and inclusion](http://sydney.edu.au/about-us/vision-and-values/diversity.html). **How to apply** Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the **Apply** button at the top of the page. For employees of the University or contingent workers, please login into your [**Workday**](https://sydney.edu.au/workday) account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact, Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. **©** The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the [Position Description](https://unisyd.sharepoint.com/:b:/s/WorkdayIntegration/IQBVjUYnx1DJR6Q-MQI7PkF4AaZK8v19sFmda2qjxorAEMw?download=1) for this role. **Applications Close** Sunday 28 June 2026 11:59 PM", "summaryDescription" : "Postdoctoral Research Associate at The University of Sydney. Skills: Viral immunology, Mammalian cell culture, Molecular biology, Immunology assays. Conduct research. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellow role is available in the lab of Dr. Annabel Wang. The research in her laboratory focuses on the metabolic and cellular plasticity of adipose tissue in response to physiological, pathophysiological, and aging-related challenges. The lab’s long-term goals are to provide fundamental insights into 1) the metabolic significance of adipocyte and adipocyte progenitor cell plasticity and heterogeneity; 2) mechanisms by which adipocytes communicate with other cell types in response to metabolic cues; and 3) adipose tissue remodeling during aging and age-associated metabolic disorders. Ultimately, the lab’s aim is to mitigate pathogenesis and develop effective treatments for chronic metabolic diseases. The lab has developed unique and comprehensive mouse models enabling real-time labeling, lineage tracing, inducible knockout, and inducible overexpression. Her lab integrates molecular biology, biochemistry, and histological approaches with state-of-the-art technologies, including comprehensive mouse phenotyping, tissue clearing and 3D imaging, in vivo transplantation combined with 3D imaging of grafts, and single-cell and spatial multi-omics analyses. For more information on Dr. Wang, please visit here . Your qualifications should include: · PhD or M.D. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . 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Several of our successful Baby Imaging Specialists have come from childcare environments (i.e., daycare, nanny, etc.), educational backgrounds (i.e., teacher, preschool, etc.), and high-end retail settings. We will train you on the things unique to Cranial Technologies if you bring your problem-solving skills and “can do” attitude. 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NE, Ste. 220 Marietta, GA 30060   Applicants must be authorized to work for any employer in the U. S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Florida Candidates Only: We are an employer covered by AHCA's screening program and the person who fills this position will be required to complete this screening. No action is required on your part, and we will reach out once that screening is required. More information can be found here: https://info.flclearinghouse.com/ You will receive a confirmation email stating your application has been submitted. Once your application has been reviewed, you should receive an update on your status via email. **Please keep an eye on your spam and junk mail**’ Please no phone calls to the clinic or offices regarding the position. 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Several of our successful Baby Imaging Specialists have come from childcare environments (i.e., daycare, nanny, etc.), educational backgrounds (i.e., teacher, preschool, etc.), and high-end retail settings. We will train you on the things unique to Cranial Technologies if you bring your problem-solving skills and “can do” attitude. 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With over 300,000 babies successfully treated, we are the plagiocephaly experts and the leader in pediatric cranial shaping orthoses. Cranial Technologies also provides treatment with EarWell® to correct infant ear shapes without surgery. With over 600,000+ successful outcomes, EarWell® is a proven, non-invasive treatment option for families. Our number one priority is our patients and their families. Families choose us because of the different kind of healthcare experience we offer through exceptional customer service, superior outcomes using the DOC Band®, EarWell®, and a passion for the babies we treat. We are currently looking for an hourly, full-time Baby Imaging Specialist to join our team in Phoenix, AZ! We’re looking for someone who is enthusiastic, loves providing outstanding customer service, is tech savvy, and most importantly, loves babies! Several of our successful Baby Imaging Specialists have come from childcare environments (i.e., daycare, nanny, etc.), educational backgrounds (i.e., teacher, preschool, etc.), and high-end retail settings. We will train you on the things unique to Cranial Technologies if you bring your problem-solving skills and “can do” attitude. How you make an impact: Provide outstanding customer service to all of our patients Work as a team to complete a three dimensional, 360° image for each baby using Digital Surface Imaging (DSi®) Point person to calibrate, operate and ensure optimal performance of imaging equipment (DSi® system) Schedule new patient and follow-up appointments into Intergy (Practice Management Software) Obtain, enter and process patient information in Intergy Medical office duties to include answering phones, clean patient rooms and room patients   How you show us what you've got: Energetic and enthusiastic personality is a MUST Ability to learn new things quickly and apply them in a fast paced, ever-evolving environment Capability to juggle many duties while keeping the patient experience the top priority Experience in one of the following; caring for or working with infants/children, high-end retail customer service, teaching, medical imaging   Physical Requirements: Must be able to squat and bend Must be able to lift at least 30 lbs Must be able to position and handle patient to ensure DSi® images are captured Must be able move at a fast pace   We offer an excellent benefits package: Medical, Vision, and Dental Insurance 401k Retirement Plan 3.5 Weeks Paid Time Off plus 7 company-paid Holidays Life Insurance Short/Long Term Disability Insurance Position starts at $18.50 - $19.00 an hour with the opportunity to increase pay in 3-6 months as part of a levels program that is based on performance and tenure!    Clinic Address:  1920 E. Cambridge Ave., Bldg. E, Ste. 205 Phoenix, AZ 85006 Applicants must be authorized to work for any employer in the U. S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Florida Candidates Only: We are an employer covered by AHCA's screening program and the person who fills this position will be required to complete this screening. No action is required on your part, and we will reach out once that screening is required. More information can be found here: https://info.flclearinghouse.com/ You will receive a confirmation email stating your application has been submitted. Once your application has been reviewed, you should receive an update on your status via email. **Please keep an eye on your spam and junk mail**’ Please no phone calls to the clinic or offices regarding the position. If you are unable to submit your application, please email the recruiting department at careers@cranialtech.com for assistance.  #LI-Onsite", "summaryDescription" : "Baby Imaging Specialist at Cranial Technologies. Skills: Customer service, Medical imaging. Provide outstanding customer service. Complete a three dimensional, 360° image", "postedDate" : "2026-06-15T23:24:46.647", "createdAt" : "2026-06-15T23:24:46.647", "lastUpdated" : "2026-06-16T07:22:06.053", "ingestTimestamp" : "2026-06-15T23:24:46.647", "mongoId" : "6a3057a4f292fd229cf3c7d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Medical imaging", "Customer service", "Problem-solving", "Plagiocephaly", "Cranial shaping orthoses", "Pediatric cranial shaping", "Infant ear shapes", "DSi® system", "Intergy" ], "skillCount" : 9, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 462.39282, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3057a4f292fd229cf3c7d5", "title" : "Baby Imaging Specialist", "company" : "Cranial Technologies", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 19.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-16T08:28:49.631", "fingerprint" : "6be1ddfb8e7adfd746685df9ab485f3188f993885bb6c09d912320145171e00b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cranialtechnologies/jobs/8590426002", "externalId" : "8590426002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Digital Surface Imaging, DSi", "professionalSkills" : [ "Customer service", "Problem-solving" ], "hardSkillsList" : [ "3D imaging", "2D imaging" ], "hardSkills" : [ { "name" : "3D imaging", "level" : "intermediate" }, { "name" : "2D imaging", "level" : "intermediate" } ], "majorSkills" : "Customer success, Patient imaging, Medical office duties", "majorSkillsList" : [ "Customer success", "Patient imaging", "Medical office duties" ], "coreResponsibilities" : "Provide outstanding customer service, Complete a three dimensional, 360° image, Calibrate imaging equipment, Operate imaging equipment, Ensure optimal performance of imaging equipment, Schedule new patient appointments, Schedule follow-up appointments, Enter patient information, Process patient information, Answer phones, Clean patient rooms, Room patients", "teamCollaboration" : "Work as a team", "domainKnowledge" : "Plagiocephaly; Flat head syndrome; Cranial shaping orthoses; Pediatric cranial shaping; Infant ear shapes; EarWell treatment; DOC Band", "domainList" : [ "plagiocephaly", "flat-head-syndrome", "cranial-shaping-orthoses", "pediatric-cranial-shaping", "infant-ear-shapes", "earwell-treatment", "doc-band" ], "domainSpecificKnowledge" : [ "Plagiocephaly", "Flat head syndrome", "Cranial shaping orthoses", "Pediatric cranial shaping", "Infant ear shapes", "EarWell treatment", "DOC Band" ], "toolProficiency" : [ "DSi system", "Intergy" ], "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Squat and bend, Lift at least 30 lbs, Position and handle patient, Move at a fast pace", "qualificationsBasic" : "Energetic and enthusiastic personality, Ability to learn new things quickly, Capability to juggle many duties, Experience caring for infants/children, Experience working with infants/children, Experience in high-end retail customer service, Experience in teaching, Experience in medical imaging", "qualificationsPreferred" : "Backgrounds from childcare environments, Backgrounds from educational environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Cranial Technologies is the only company in the world completely dedicated to researching and treating plagiocephaly (commonly called flat head syndrome). With over 300,000 babies successfully treated, we are the plagiocephaly experts and the leader in pediatric cranial shaping orthoses. Cranial Technologies also provides treatment with EarWell® to correct infant ear shapes without surgery. With over 600,000+ successful outcomes, EarWell® is a proven, non-invasive treatment option for families. Our number one priority is our patients and their families. Families choose us because of the different kind of healthcare experience we offer through exceptional customer service, superior outcomes using the DOC Band®, EarWell®, and a passion for the babies we treat. We are currently looking for an hourly, full-time Baby Imaging Specialist to join our team in Austin, TX! We’re looking for someone who is enthusiastic, loves providing outstanding customer service, is tech savvy, and most importantly, loves babies! Several of our successful Baby Imaging Specialists have come from childcare environments (i.e., daycare, nanny, etc.), educational backgrounds (i.e., teacher, preschool, etc.), and high-end retail settings. We will train you on the things unique to Cranial Technologies if you bring your problem-solving skills and “can do” attitude. How you make an impact: Provide outstanding customer service to all of our patients Work as a team to complete a three dimensional, 360° image for each baby using Digital Surface Imaging (DSi®) Point person to calibrate, operate and ensure optimal performance of imaging equipment (DSi® system) Schedule new patient and follow-up appointments into Intergy (Practice Management Software) Obtain, enter and process patient information in Intergy Medical office duties to include answering phones, clean patient rooms and room patients   How you show us what you've got: Energetic and enthusiastic personality is a MUST Ability to learn new things quickly and apply them in a fast paced, ever-evolving environment Capability to juggle many duties while keeping the patient experience the top priority Experience in one of the following; caring for or working with infants/children, high-end retail customer service, teaching, medical imaging   Physical Requirements: Must be able to squat and bend Must be able to lift at least 30 lbs Must be able to position and handle patient to ensure DSi® images are captured Must be able move at a fast pace   We offer an excellent benefits package: Medical, Vision, and Dental Insurance 401k Retirement Plan 3.5 Weeks Paid Time Off plus 7 company-paid Holidays Life Insurance Short/Long Term Disability Insurance Position starts at $18.50 - $19.00 an hour with the opportunity to increase pay in 3-6 months as part of a levels program that is based on performance and tenure!    Clinic Address:  1111 W. 34th St., Ste. 204 Austin, TX 78705  Applicants must be authorized to work for any employer in the U. S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Florida Candidates Only: We are an employer covered by AHCA's screening program and the person who fills this position will be required to complete this screening. No action is required on your part, and we will reach out once that screening is required. More information can be found here: https://info.flclearinghouse.com/ You will receive a confirmation email stating your application has been submitted. Once your application has been reviewed, you should receive an update on your status via email. **Please keep an eye on your spam and junk mail**’ Please no phone calls to the clinic or offices regarding the position. If you are unable to submit your application, please email the recruiting department at careers@cranialtech.com for assistance.  #LI-Onsite", "summaryDescription" : "Baby Imaging Specialist at Cranial Technologies. Skills: Customer success, Patient imaging, Medical office duties. Provide outstanding customer service. Complete a three dimensional, 360° image", "postedDate" : "2026-06-15T23:22:50.841", "createdAt" : "2026-06-15T23:22:50.841", "lastUpdated" : "2026-06-16T08:28:49.631", "ingestTimestamp" : "2026-06-15T23:22:50.841", "mongoId" : "6a3057a4f292fd229cf3c7d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 39520, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "3D imaging", "2D imaging", "Customer success", "Patient imaging", "Medical office duties", "Customer service", "Problem-solving", "Plagiocephaly", "Flat head syndrome", "Cranial shaping orthoses", "Pediatric cranial shaping", "Infant ear shapes", "EarWell treatment", "DOC Band", "DSi system", "Intergy" ], "skillCount" : 16, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 461.05948, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305571f292fd229cf1f9bd", "title" : "Postdoctoral Research Associate in Medicinal Chemistry", "company" : "2500 Students", "industry" : "Education", "salary" : { "min" : 117936.0, "max" : 117936.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Australia", "locations" : [ "Australia" ], "timestamp" : "2026-06-16T13:23:03.963", "fingerprint" : "da8ddbbcba4f29b1750426b8c5f9a2e212643bf8f9e19ef90715757957b519f8", "source" : "workday", "language" : "en", "applyUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate-in-Medicinal-Chemistry_0152579", "externalId" : "0152579", "industryFunction" : { }, "locationPoint" : "-25.2744,133.7751", "structuredLocations" : [ { "country" : "Australia", "continent" : "oc", "workMode" : "remote" } ], "locationText" : "Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "professionalSkills" : [ "Grant writing", "Research excellence" ], "hardSkillsList" : [ "Medicinal chemistry", "Organic chemistry" ], "hardSkills" : [ { "name" : "Medicinal chemistry", "level" : "intermediate" }, { "name" : "Organic chemistry", "level" : "intermediate" } ], "majorSkills" : "Drug discovery, Lead candidate optimization", "majorSkillsList" : [ "Drug discovery", "Lead candidate optimization" ], "coreResponsibilities" : "Undertake research in lead candidate optimization, Publish research papers, Demonstrate research excellence, Assist with grant writing, Assist with publishing original work, Support teaching activities, Supervise undergraduate students, Supervise postgraduate students", "teamCollaboration" : "Member of a team", "domainKnowledge" : "Drug Discovery", "domainList" : [ "drug-discovery" ], "domainSpecificKnowledge" : [ "Drug Discovery" ], "documentationSkills" : "Prepare research papers", "qualificationsBasic" : "PhD in medicinal chemistry or organic chemistry, Equivalent training and experience, Conduct research under supervision, Published research as sole author or collaborator, Research record keeping experience, Prepare research papers, Present seminars", "qualificationsPreferred" : "Near completion of PhD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* **X4 Full time, 1 year fixed term opportunity. Located at the School of Chemistry on the Camperdown Campus** * **Opportunity to contribute to research in Drug Discovery** * **Base Salary, Level A Step 6 $117,936 p.a. + 17% superannuation ** **About the opportunity** The School of Chemistry is one of Australia's main centres for chemical research and education. We have access to a comprehensive range of modern research and teaching facilities. The School attracts outstanding undergraduate students, including large numbers of talented students, from all over Australia and has a large cohort of postgraduate research students and offers a vibrant and world class research environment. The School is currently seeking four (4) **Postdoctoral Research Associates in Medicinal Chemistry** with the primary responsibility of working on projects selected by MedChem Australia. Your key responsibilities will be to: * undertake research in lead candidate optimization * publish research papers * demonstrate research excellence * assist with grant writing and publishing original work * support teaching activities and the supervision of undergraduate and postgraduate students. The School of Chemistry at the University of Sydney is a leading Chemistry department in the country, with outstanding staff and students undertaking world-leading teaching and research. Our more than 30 academic staff, 100 research staff, and 100 research students conduct research across the full spectrum of pure an applied chemistry. With the support of 30+ professional, technical and administrative staff, the School of Chemistry administers and delivers undergraduate teaching for about 2500 students. We are committed to creating a diverse workplace by improving equity, access and opportunity, and we are continuously working to identify and remove biases and barriers in an effort to make our workplace open, supportive and safe for everyone. Our research excellence is recognised by numerous prizes and awards to individual staff members and the award of over $7 million in research funding each year. Our staff are also recognised for their outstanding commitment to teaching excellence. Click here to learn more about [School of Chemistry](https://www.sydney.edu.au/science/schools/school-of-chemistry.html) . This position is lab‑based and requires onsite work at the Camperdown campus. **About you** * a PhD (or near completion) in medicinal chemistry or organic chemistry, or a closely related discipline and equivalent combination of relevant training and experience * proven ability to conduct research/scholarly activities under limited supervision either independently or as a member of a team * experience in student supervision at the undergraduate and graduate level * published research as sole author or in collaboration * experience in research record keeping, preparation of research papers and presentation of seminars. **Pre-employment checks** Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University’s obligations under the National Higher Education Code to [Prevent and Eliminate Gender-Based Violence](https://www.sydney.edu.au/about-us/vision-and-values/safety-and-respect/sexual-harm-and-gender-based-violence.html) you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. **EEO statement** At the University of Sydney, our shared values are [trust, accountability and excellence](https://www.sydney.edu.au/about-us/vision-and-values.html) and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to [diversity and inclusion](https://www.sydney.edu.au/about-us/vision-and-values/diversity.html), evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of [Aboriginal and Torres Strait Islander People](https://www.sydney.edu.au/about-us/careers-at-sydney/indigenous-careers.html), [women](https://www.sydney.edu.au/about-us/vision-and-values/diversity/gender-equity.html), [people living with a disability](https://www.sydney.edu.au/about-us/careers-at-sydney/careers-for-people-with-disability.html), [people from culturally and linguistically diverse backgrounds](https://www.sydney.edu.au/about-us/vision-and-values/diversity/cultural-diversity.html), and those who identify as [LGBTIQ+](https://www.sydney.edu.au/about-us/vision-and-values/diversity/lgbtiq-community.html). We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. [Find out more about our work on diversity and inclusion](http://sydney.edu.au/about-us/vision-and-values/diversity.html). **How to apply** Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the **Apply** button at the top of the page. For employees of the University or contingent workers, please login into your [**Workday**](https://sydney.edu.au/workday) account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Deepna Chand, Recruitment Operations by email to [recruitment.sea@sydney.edu.au](mailto:recruitment.sea@sydney.edu.au) . **©** The University of Sydney The University reserves the right not to proceed with any appointment. **©** The University of Sydney Click to view the [Position Description](https://unisyd.sharepoint.com/:b:/s/WorkdayIntegration/IQDrX9LOQ5-xQYdw2mEJg8uaAdpB8wyPxoxhEhZ5kGZ-gcQ?download=1) for this role. **Applications Close** Monday 29 June 2026 11:59 PM", "summaryDescription" : "Postdoctoral Research Associate in Medicinal Chemistry at 2500 Students. Skills: Drug discovery, Lead candidate optimization. Undertake research in lead candidate optimization. Publish research papers", "postedDate" : "2026-06-16T03:46:42.792", "createdAt" : "2026-06-16T03:46:42.755", "lastUpdated" : "2026-06-16T13:23:03.963", "ingestTimestamp" : "2026-06-16T03:46:42.755", "mongoId" : "6a305571f292fd229cf1f9bd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://usyd.wd105.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate-in-Medicinal-Chemistry_0152579", "salaryAnnualMin" : 117936, "salaryAnnualMax" : 117936, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Medicinal chemistry", "Organic chemistry", "Drug discovery", "Lead candidate optimization", "Grant writing", "Research excellence", "Drug Discovery" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 443.81, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c75c774d8ee00a0938125", "title" : "Interventional Radiologists required for AI Project (CT Scans)", "company" : "Mentis AI", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 150000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for senior interventional radiologists in Bulgaria, adjusted for remote work and the AI/healthcare industry." }, "location" : "USA", "locations" : [ "USA" ], "certifications" : [ "Board certification in Interventional Radiology" ], "timestamp" : "2026-06-16T03:25:51.342", "fingerprint" : "a5d525afe67ef4cbb8fab92c8700c8e25bb92b89fcd0f912cc757a929216a683", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aptura/158bdb87-b577-47da-a1d0-5daed8f5749d/application", "externalId" : "158bdb87-b577-47da-a1d0-5daed8f5749d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Clinical reasoning", "AI model development" ], "hardSkillsList" : [ "Segmentation review", "Image annotation" ], "hardSkills" : [ { "name" : "Segmentation review", "level" : "intermediate" }, { "name" : "Image annotation", "level" : "intermediate" } ], "majorSkills" : "Interventional Radiology, CT imaging, AI review", "majorSkillsList" : [ "Interventional Radiology", "CT imaging", "AI review" ], "coreResponsibilities" : "Review pre-annotated segmentations, Assess segmentations for accuracy, Approve segmentations, Correct segmentations, Rate segmentation difficulty", "teamCollaboration" : "Collaborate with AI researchers; Partner with researchers; Partner with clinicians", "domainKnowledge" : "Liver tumor segmentation; Ablation zone segmentation; CT imaging; Oncologic imaging; Interventional radiology", "domainList" : [ "liver-tumor-segmentation", "ablation-zone-segmentation", "ct-imaging", "oncologic-imaging", "interventional-radiology" ], "domainSpecificKnowledge" : [ "Liver tumor segmentation", "Ablation zone segmentation", "CT imaging", "Oncologic imaging", "Interventional radiology" ], "toolProficiency" : [ "Annotation platform" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "Board certification in Interventional Radiology, Minimum 5 years clinical experience, Proficiency in interpreting hepatic CT imaging, Excellent analytical skills, High attention to anatomical detail, High attention to clinical accuracy", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Mentis AI is recruiting U.S based, board-certified Interventional Radiologists to participate in an AI review project focused on liver tumor and ablation zone segmentation in CT imaging. This is a opportunity for experienced interventional radiologists to play a direct role in shaping how AI identifies, delineates, and interprets liver tumors and ablation zones with real implications for how these systems will perform in clinical practice. As part of this project, you'll collaborate with AI researchers to review, evaluate, and refine pre-annotated CT segmentations used to train and validate AI systems operating in oncologic and interventional radiology settings. Your clinical expertise is essential to ensuring the platform is accurate, safe, and grounded in real-world interventional reasoning. This role is fully remote, flexible, and well-suited to interventional radiologists balancing existing clinical, academic, or research commitments. ABOUT MENTIS AI At Mentis AI, we help companies build the next generation of clinically grounded artificial intelligence. We work directly with specialist clinicians including radiologists, surgeons, and interventionalists to ensure AI is safe, accurate, and aligned with how medicine is truly practised. As a clinical expert contributor, you'll have hands-on exposure to frontier AI model development in oncologic imaging, partnering with researchers and fellow clinicians to directly influence the future of liver cancer detection, treatment planning, and ablation assessment technology. PROJECT OVERVIEW Interventional radiologists will be given access to a curated liver CT dataset on a dedicated annotation platform and tasked with the following: Segmentation Review: Systematically review pre-annotated liver tumor and ablation zone segmentations across CT cases, assessing each for clinical and anatomical accuracy. Approval & Correction: For each case, either approve the existing segmentation or apply corrections where the annotation does not meet clinical standards. Each reviewed case receives a status of Approved, Corrected, or Excluded, alongside a difficulty score rated on a Likert scale from 1 to 5. REQUIREMENTS - Board certification in Interventional Radiology in the United States - Minimum 5 years clinical experience in interventional radiology - Strong proficiency in interpreting hepatic CT imaging, including pre- and post-ablation assessment - Excellent analytical skills with high attention to anatomical detail and clinical accuracy - Comfortable working independently and asynchronously in a remote environment WHAT WE OFFER - Flexible scheduling compatible with existing clinical or academic commitments - Fully remote participation from anywhere in the United States - Competitive compensation, paid on an hourly basis", "summaryDescription" : "Interventional Radiologists required for AI Project (CT Scans) at Mentis AI. Skills: Interventional Radiology, CT imaging, AI review. Review pre-annotated segmentations. 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D. degree, Experience in protein molecular dynamics studies, Knowledgeable about concepts in stati", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position in the department of Computational and Quantitative Medicine. This project with Dr. Nagarajan Vaidehi involves developing and application of interpretable machine learning methods combined with physics based molecular dynamics simulations to uncover allosteric regulation of disordered regions in the dynamics of proteins and protein complexes to enable design of allosteric modulators. For more information about Dr. Vaidehi’s lab, please visit here. As a successful candidate, you will: · Work on developing design principles of targeted protein degradation in collaboration with Pharma. · Successful applicants will also have an opportunity to participate in a multidisciplinary research environment. Your qualifications should include: · Ph.D. degree in Chemistry, Chemical Engineering, Physics, Biology, or Bioengineering or Biochemistry with experience in protein molecular dynamics studies. · The candidate should be knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. Familiarity with advanced Molecular Dynamics methods and experience in code development is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Postdoctoral Fellow. Skills: Interpretable ML, Protein dynamics. Develop design principles. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellow Position is available in the laboratory of Dr. Tijana Jovanovic-Talisman . Biological nanoparticles that are continuously shed by cells – namely extracellular vesicles (EVs) – are an emerging and exciting strategy for performing minimally invasive diagnos es . Because EVs are loaded with disease-specific molecules, they represent an excellent source of biomarker s . The project involves employing super-resolution microscopy approach es to characterize extracellular vesicles that contain disease-specific molecules. Ultimately, the goal is to develop a new platform to perform molecular level diagnoses for precision medicine. About Dr. Jovanovic-Talisman: Tijana Jovanovic-Talisman, PhD is an Associate Professor in the department of Cancer Biology and Molecular Medicine . Her team is investigating biological processes that are critical to the progression of cancer and other diseases by using quantitative super-resolution microscopy. For more information on the Jovanovic-Talisman Lab, please click here . As a successful candidate, you will: Purify EVs from cultured cells and plasma using different analytical platforms. Perform imaging experiments using super-resolution microscopy. Complete image data analysis to characterize extracellular vesicles. Your qualifications should include: A Ph.D. degree in Cell Biology, Bioengineering, Biophysics, or a related discipline is required with no more than 3 years of postdoctoral training. Experience in quantitative microscopy and extracellular vesicle research. Ability to carry out independent research and prepare manuscripts for publication. Preferred qualifications: Experience with super-resolution microscopy, coding (Phyton, Matlab), and machine learning is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . 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D. in microbiology or related field", "qualificationsPreferred" : "Experience conducting independent research, Proficiency in DNA/RNA extraction, Library preparation, Sequencing using Nanopore, Sequencing using Illumina platforms, Experience cultivating microbes, Phenotypic characterization, Genotypic characterization, Bioinformatic tools, Pipelines for amplicon sequencing, Microbial whole genome assembly, Microbial annotation", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Position Title: Postdoctoral Research Associate – Soil and Plant Microbiomes ## Appointment Type: Post Doc/Trainee ## Job Description: **Summary of Duties and Responsibilities:** The Postdoctoral Research Associate will design, conduct, and manage research on soil and plant root microbiomes using advanced molecular techniques, including Nanopore and Illumina sequencing, microbial cultivation, and nitrogen isotope approaches to quantify microbial and plant nitrogen use. This position will coordinate field and laboratory sample collection efforts, collaborate with research partners, and supervise and train research assistants to ensure high-quality data and sample integrity. The Postdoc will perform bioinformatic and statistical analyses of microbiome, soil, and plant datasets using tools such as R or Python, integrating findings to interpret biological and ecological relationships. The role also includes preparing data summaries, reports, manuscripts, and grant materials, as well as presenting research findings to funding agencies and scientific audiences. **Required Minimum Qualifications:** Ph. D. in microbiology or related field. **Preferred Qualifications:** * Experience conducting independent research involving microbial communities, including proficiency in DNA/RNA extraction, library preparation, and sequencing using Nanopore and/or Illumina platforms. * Experience cultivating microbes under aerobic and hypoxic conditions, including phenotypic and genotypic characterization. * Experience using bioinformatic tools and pipelines for amplicon sequencing-based microbiome analysis, as well as microbial whole genome assembly and annotation. **Department/Program & College Description:** The Department of Plant Pathology and Microbiology and the Department of Entomology officially merged as of September 1, 2022. The new department is known as the Department of Plant Pathology, Entomology, and Microbiology (PPEM). The overall mission of the Department is to benefit society through research, teaching, and extension activities that improve pest management and prevent disease. Collectively, the Department consists of about 100 [faculty, staff, and students](https://www.ppem.iastate.edu/people) who are engaged in research, teaching, and extension activities that are central to the mission of the [College of Agriculture and Life Sciences](https://www.cals.iastate.edu/). **Department Unit/Website:** [Plant Pathology, Entomology and Microbiology](https://www.ppem.iastate.edu/) Candidates must be legally authorized to work in the U.S. on an ongoing basis without sponsorship. Immigration sponsorship is not available for this position. **Application Instructions:** To apply for this position, please click on “Apply” and complete the Employment Application. Please be prepared to enter or attach the following: Resume/Curriculum Vitae Letter of Application/Cover Letter **Why Choose Iowa State University?** Iowa State Employees enjoy comprehensive health and work-life benefits, including medical and dental, as well as: * Retirement benefits including defined benefit and defined contribution plans * Generous vacation, holiday, and sick time and leave plans * Onsite childcare (Ames, Iowa) * Life insurance and long-term disability * Flexible Spending Accounts * Various voluntary benefits and discounts * Employee Assistance Program * Wellbeing program * Iowa State offers WorkFlex options for some positions. WorkFlex offers flexibility on when, where, and how you do your work. For more information, please speak with the Hiring Manager. If you have questions regarding this application process, please email employment@iastate.edu, or call 515-294-4800 or Toll Free: 1-877-477-7485. ## Proposed Start Date: July 1, 2026 ## Number of Months Employed Per Year: 12 Month Work Period ## Time Type: Full time ## Pay Grade: Post Docs ## Original Posting Date: June 15, 2026 ## Posting Close Date: June 21, 2026 ## Job Requisition Number: R19377 Iowa State University does not discriminate on the basis of race, color, age, ethnicity, religion, national origin, pregnancy, sexual orientation, genetic information, sex, marital status, disability, or status as a U.S. Veteran. Inquiries regarding non-discrimination policies may be directed to Office of Equal Opportunity, 2680 Beardshear Hall, 515 Morrill Road, Ames, Iowa 50011, Tel. 515-294-7612, email [eooffice@iastate.edu](mailto:eooffice@iastate.edu). General ISU compensation information can be found on the [University Human Resources](https://www.hr.iastate.edu/careers/compensation) website. Please note that this is only a list of ranges and individuals will be paid commensurate with qualifications.", "summaryDescription" : "Postdoctoral Research Associate – Soil and Plant Microbiomes at Iowa State University. Skills: Soil microbiomes, Plant microbiomes, Microbiome analysis, Bioinformatics. Design research on soil and plant microbiomes. 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We strive to optimize image processing using cutting-edge technology to measure and analyze quality with scientific precision, covering key factors like sharpness, distortion, noise, dynamic range, and color accuracy. Job Summary You'll work closely with our embedded software and hardware teams, bridging the gap between the latest imaging technology and practical implementation in our devices. As an Intern on our Device Engineering team, you will gain hands-on experience in developing and validating image quality across our diverse product portfolio. In this role, you will work with our camera systems to ensure outstanding performance under various lighting conditions and environmental scenarios. You will also expand your expertise by contributing to the optimization of software algorithms and their integration with hardware capabilities, helping to deliver the best possible user experience. Duties and Responsibilities Work closely with software development teams to understand new feature requirements and specifications. Provide valuable feedback to software engineers based on test results and performance metrics. Qualifications and Skills Personal interest in camera technologies and Image Quality. Experience in using cameras. Nice to have Experience in camera image processing like 3A, demosaic, noise reduction. Experience in objective image quality in laboratory environments. Experience in Python software programming Experience in camera technologies like image sensors, optics, ALS and illumination (WLED, IR LEDs) We offer multiple benefits that include The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member Competitive compensation and perks. Gig-contract (6 months) 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves Medical insurance is provided from day one. Sick leaves and medical leaves are available Free meals, fruits, and snacks when working in the office", "summaryDescription" : "Image Quality Intern at SQUAD. Skills: Image Quality, Camera technologies. Understand new feature requirements. 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"Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d6fcb74d8ee00a0be37ea", "title" : "Postdoctoral Researcher", "company" : "University Health Network", "industry" : "Research", "salary" : { "min" : 54902.0, "max" : 93333.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T09:29:56.467", "fingerprint" : "884361f632094082ec49e1206f454cc394e9ece8ddcfb7948cc32f039657aa8f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000131913639-postdoctoral-researcher", "externalId" : "744000131913639", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, R, Scala, Spark, SQL, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Translational research", "Drug discovery", "Biomarker development", "Clinical translation", "Data harmonization", "Data integration", "Data governance" ], "hardSkillsList" : [ "AI/ML expertise", "Foundation models", "Transfer learning", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Genomic data analysis", "Transcriptomic data analysis", "Multi-omics data analysis", "Federated learning", "Secure distributed computing" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "AI/ML expertise", "level" : "intermediate" }, { "name" : "Foundation models", "level" : "intermediate" }, { "name" : "Transfer learning", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Genomic data analysis", "level" : "intermediate" }, { "name" : "Transcriptomic data analysis", "level" : "intermediate" }, { "name" : "Multi-omics data analysis", "level" : "intermediate" }, { "name" : "Federated learning", "level" : "intermediate" }, { "name" : "Secure distributed computing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "AI/ML, Foundation models, Biomarker discovery, Drug discovery", "majorSkillsList" : [ "AI/ML", "Foundation models", "Biomarker discovery", "Drug discovery" ], "coreResponsibilities" : "Design multimodal drug foundation models, Integrate molecular graph representations, Integrate transcriptomic perturbation signatures, Integrate multi-omics cell-state representations, Develop transfer learning strategies, Support diverse drug prediction tasks, Build flexible AI/ML workflows, Reduce reliance on task-specific architectures, Enable generalization across therapeutic contexts, Architect secure computational infrastructure, Deploy scalable computational infrastructure, Develop agentic AI-enabled frameworks, Support harmonization of clinical data, Support annotation of genomic data, Support integration of transcriptomic data, Implement distributed analysis pipelines, Enable multi-cohort biomarker assessment, Develop systematic workflows to evaluate signatures, Assess predictive value of molecular signatures, Integrate biomarker discovery pipelines, Integrate immunotherapy inference pipelines, Support translational studies", "teamCollaboration" : "Interdisciplinary teams; Computational partners; Clinical partners; Industry partners", "domainKnowledge" : "Translational cancer research; Drug response prediction; ADMET profiling; Combinatorial drug synergy; Drug repurposing; Biomarker discovery; Treatment modalities; Genomic medicine; Rehabilitation medicine; Federated settings; Local data governance; AI-driven drug discovery; Multimodal biomedical data; Distributed analysis frameworks; Immune signatures; Stromal signatures; Mutation-based signatures; Pathway-level signatures; Treatment-response signatures; Chemotherapy; Targeted therapy; Immunotherapy; Clinical data warehouses", "domainList" : [ "translational-cancer-research", "drug-response-prediction", "admet-profiling", "combinatorial-drug-synergy", "drug-repurposing", "biomarker-discovery", "treatment-modalities", "genomic-medicine", "rehabilitation-medicine", "federated-settings", "local-data-governance", "ai-driven-drug-discovery", "multimodal-biomedical-data", "distributed-analysis-frameworks", "immune-signatures", "stromal-signatures", "mutation-based-signatures", "pathway-level-signatures", "treatment-response-signatures", "chemotherapy", "targeted-therapy", "immunotherapy", "clinical-data-warehouses" ], "domainSpecificKnowledge" : [ "Translational cancer research", "Drug response prediction", "ADMET profiling", "Combinatorial drug synergy", "Drug repurposing", "Biomarker discovery", "Treatment modalities", "Genomic medicine", "Rehabilitation medicine", "Federated settings", "Local data governance", "AI-driven drug discovery", "Multimodal biomedical data", "Distributed analysis frameworks", "Immune signatures", "Stromal signatures", "Mutation-based signatures", "Pathway-level signatures", "Treatment-response signatures", "Chemotherapy", "Targeted therapy", "Immunotherapy", "Clinical data warehouses" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; Architecture diagrams", "continuousLearning" : "Opportunities for development; Opportunities for promotions", "innovationCreativity" : "Foundation models; Agentic AI approaches", "problemSolvingSkills" : "Root cause analysis; Debugging; Data-driven decision making; Troubleshooting", "outcomesObjectives" : "Build general-purpose drug foundation model; Advance AI-driven drug discovery; Advance biomarker development; Advance clinical translation", "qualificationsBasic" : "5+ years Python experience, SQL proficiency, Statistics degree, Computer Science degree, Mathematics degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified, Experience with clinical data harmonization, Experience designing scalable bioinformatics pipelines, Understanding of regulatory and data governance requirements, Prior collaborative work across computational and clinical research teams", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union: Non-Union Number of Vacancies: 1 New or Replacement Position: New Site: MaRS Department: PM Research Reports to: Senior Scientist Salary Range: $54,902 - $93,333 Per Year Hours: 37.5 Hours Per Week Shifts: Monday - Friday; Day Shifts Status: Temporary Full-time (2-Year Contract) Closing Date: June 26, 2026 Position Summary: We are seeking a postdoctoral researcher with strong expertise in AI/ML to join a major interdisciplinary initiative focused on developing foundation models and secure computational infrastructure for translational cancer research. The first major objective is to build a general-purpose drug foundation model capable of transfer learning across diverse prediction tasks, including mechanism of action classification, clinical drug response prediction in tumour subtypes, ADMET and toxicity profiling, combinatorial drug synergy, and drug repurposing. The goal is to move beyond task-specific architectures and datasets toward flexible models that can generalize across therapeutic contexts. The second major objective is to develop and apply secure, scalable, and privacy-preserving computational infrastructure to support biomarker discovery across diverse treatment modalities. This will include building agentic AI approaches to harmonize clinical, genomic, and transcriptomic data across public and private cohorts, while assessing the predictive value of DNA and RNA signatures in federated settings where sensitive data remain under local governance. Together, these efforts aim to advance AI-driven drug discovery, biomarker development, and clinical translation by integrating modern machine learning, multimodal biomedical data, and robust distributed analysis frameworks. The successful candidate will work in the Haibe-Kains Lab at the Princess Margaret Cancer Centre, University Health Network. Duties: * Design and implement multimodal drug foundation models that integrate molecular graph representations, bulk transcriptomic perturbation signatures, and multi-omics cell-state representations. * Develop transfer learning strategies to support diverse drug prediction tasks, including mechanism of action classification, clinical drug response prediction, ADMET and toxicity profiling, combinatorial drug synergy, and drug repurposing. * Build flexible AI/ML workflows that reduce reliance on task-specific architectures and enable generalization across therapeutic contexts, tumour subtypes, and treatment modalities. * Architect and deploy secure, scalable, and privacy-preserving computational infrastructure for biomarker discovery and translational cancer research. * Develop agentic AI-enabled frameworks to support the harmonization, annotation, quality control, and integration of clinical, genomic, and transcriptomic data across public cohorts and private institutional datasets. * Implement distributed and federated analysis pipelines in which each contributing dataset can be analysed separately, enabling multi-cohort biomarker assessment without raw data centralization. * Develop systematic workflows to evaluate published and user-specified DNA and RNA signatures, including immune, stromal, mutation-based, pathway-level, and treatment-response signatures. * Assess the predictive value of molecular signatures across cancer types and treatment modalities, including chemotherapy, targeted therapy, immunotherapy, and emerging therapeutic approaches. * Integrate biomarker discovery and immunotherapy inference pipelines with clinical data warehouses to support translational studies in collaboration with clinical, industry, and computational partners. * Contribute to responsible data sharing frameworks, data governance processes, IRB/ethics protocols, and regulatory documentation as required. * Collaborate closely with computational biologists, software developers, clinicians, and wet-lab scientists to build, validate, and translate predictive models and biomarker discovery workflows. ## Qualifications * Awarded a PhD within the previous 5 years, or an MD or DDS within the previous 10 years in a relevant quantitative or biomedical discipline, including but not limited to: Computational Biology, Bioinformatics, Systems Biology, or Quantitative Genomics; Machine Learning, Artificial Intelligence, Computer Science, or Data Science; Biostatistics, Biomedical Engineering, or related fields * Demonstrated experience developing or applying deep learning methods to molecular, biological, clinical, or multi-omics data. * Expertise in one or more modern AI/ML approaches relevant to foundation models or representation learning, such as graph neural networks, transformers, generative models, self-supervised learning, few-shot or zero-shot learning, or transfer learning. * Strong programming skills in Python and/or R, with practical experience using modern machine learning frameworks and tooling such as PyTorch, Hugging Face, PyTorch Geometric, Deep Graph Library, scikit-learn, or equivalent platforms. * Experience working with large-scale biomedical datasets, such as molecular graphs, transcriptomic perturbation profiles, multi-omics data, clinical genomics, electronic health record-derived data, or treatment-response datasets. * Proficiency with reproducible workflow management systems such as Snakemake, Nextflow, CWL, or equivalent pipeline frameworks. * Familiarity with cloud or high-performance computing environments, such as GCP, AWS, SLURM-based clusters, or equivalent infrastructure. * Understanding of data harmonization, privacy-preserving analysis, federated learning, secure distributed computing, or clinical data governance is highly desirable. * Strong publication record, commensurate with career stage, in computational biology, AI/ML, bioinformatics, biostatistics, biomedical data science, or related fields. * Excellent communication skills and ability to work collaboratively in interdisciplinary teams spanning computational biology, machine learning, software engineering, oncology, and clinical research. * Experience with clinical data harmonization (e.g., OMOP CDM, HL7 FHIR) is preferred. * Experience designing scalable bioinformatics pipelines for large-scale genomic or transcriptomic datasets, preferred. * Understanding of regulatory and data governance requirements in clinical research settings, preferred. * Prior collaborative work across computational and clinical or wet-lab research teams, preferred. ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network. Skills: AI/ML, Foundation models, Biomarker discovery, Drug discovery. Design multimodal drug foundation models. Integrate molecular graph representations", "postedDate" : "2026-06-12T14:03:59.000", "createdAt" : "2026-06-14T07:12:22.256", "lastUpdated" : "2026-06-15T09:29:56.467", "ingestTimestamp" : "2026-06-14T07:12:22.256", "mongoId" : "6a2d6fcb74d8ee00a0be37ea", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 54902, "salaryAnnualMax" : 93333, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "AI/ML expertise", "Foundation models", "Transfer learning", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Quantitative analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Genomic data analysis", "Transcriptomic data analysis", "Multi-omics data analysis", "Federated learning", "Secure distributed computing", "Communication skills", "AI/ML", "Biomarker discovery", "Drug discovery", "Translational research", "Biomarker development", "Clinical translation", "Data harmonization", "Data integration", "Data governance", "Translational cancer research", "Drug response prediction", "ADMET profiling", "Combinatorial drug synergy", "Drug repurposing", "Treatment modalities", "Genomic medicine", "Rehabilitation medicine", "Federated settings", "Local data governance", "AI-driven drug discovery", "Multimodal biomedical data", "Distributed analysis frameworks", "Immune signatures", "Stromal signatures", "Mutation-based signatures", "Pathway-level signatures", "Treatment-response signatures", "Chemotherapy", "Targeted therapy", "Immunotherapy", "Clinical data warehouses", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 57, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 401.87674, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a25146374d8ee00a00bb744", "title" : "Postdoctoral Scientist, Amazon Robotics Research and AI Development", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, studentprograms", "salary" : { "min" : 80000.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Reading, Massachusetts, USA", "locations" : [ "North Reading, Massachusetts, USA" ], "timestamp" : "2026-06-15T05:31:22.089", "fingerprint" : "e71e2f47d247c2dcc32cbe9dd6f9c9f7e711a516df156d695ae92fda4c04ae9c", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10434356/apply", "externalId" : "02939a91-4543-4360-aa97-65969ba6c953", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Reading", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.5750939,-71.0786653" } ], "locationText" : "North Reading, Massachusetts, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Machine Learning, Optimization, Probabilistic modeling, AI", "professionalSkills" : [ "Operations research", "Planning", "Scheduling" ], "hardSkillsList" : [ "Data science", "Quantitative research" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Quantitative research", "level" : "intermediate" } ], "majorSkills" : "AI-driven optimization, Robotic fulfillment, Fleet-level AI", "majorSkillsList" : [ "AI-driven optimization", "Robotic fulfillment", "Fleet-level AI" ], "coreResponsibilities" : "Advance AI-driven optimization, Formulate automated optimization, Solve optimization problems, Interpret optimization problems, Configure intelligent solvers, Adapt solvers to structure, Allocate tasks dynamically, Coordinate robot fleet decisions, Develop scalable solutions, Democratize optimization workflows, Accelerate optimization workflows, Work with senior science advisor, Collaborate with scientists, Collaborate with engineers, Publish innovation, Progress research projects, Meet with stakeholders, Brainstorm with scientists, Participate in team processes, Lead AI research, Design AI research, Implement AI research, Evaluate AI research, Analyze AI research", "teamCollaboration" : "Senior science advisor; Other scientists; Engineers; Global science community; Engineering stakeholders; Systems stakeholders; Solutions stakeholders; Team processes", "domainKnowledge" : "Robotic warehouses; Robotic logistics processes", "domainList" : [ "robotic-warehouses", "robotic-logistics-processes" ], "domainSpecificKnowledge" : [ "Robotic warehouses", "Robotic logistics processes" ], "communicationSkills" : "Presentation skills", "innovationCreativity" : "Invent cutting-edge techniques", "problemSolvingSkills" : "Data-driven decision making", "qualificationsBasic" : "PhD in a relevant field, Received PhD within 2 years, Proven publication record, Experience in data science, Experience in quantitative research", "qualificationsPreferred" : "Ability to independently deliver results, Publications at top-tier conferences, Publications at top-tier journals, Exceptional verbal communication skills, Exceptional written communication skills, Expert knowledge in modeling, Expert knowledge in performance, Expert knowledge in operationalization, Expert knowledge in scalability, Expert knowledge in decision strategies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for a talented Postdoctoral Scientist to join the Fleet Science team at Amazon Robotics for a one-year, full-time research position with an optional extension for a second year. This Postdoctoral Scientist will advance AI-driven optimization of operations workflows for robotic fulfillment at scale. Research areas include automated optimization formulation that enables non-expert users to formulate, solve, and interpret complex optimization problems through natural language, intelligent solver configuration that adapts to problem structure for significant performance gains, and fleet-level AI for dynamic task allocation methods that coordinate decisions across large robot fleets in real time. The postdoc will have the opportunity to develop scalable solutions that democratize and accelerate optimization workflows for the world's largest robotic fulfillment network. At Amazon, we experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, and probabilistic modeling at scale to enhance customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers. Key job responsibilities In this role you will: - Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community. - Publish your innovation in top-tier academic venues and hone your presentation skills. - Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. A day in the life On a typical day in this role, you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will lead your AI-based optimization research through the full life cycle, from design and implementation to evaluation and analysis. Publication of findings in top-tier academic venues is expected. About the team The Fleet Science team at Amazon Robotics is a multi-disciplinary science team that includes scientists with backgrounds in planning and scheduling, optimization, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-world robotic warehouses, including: (1) Planning and coordinating the paths of thousands of robots (2) Dynamic allocation and scheduling of tasks to thousands of robots (3) Learning how to adapt system behavior to varying operating conditions and (4) Co-design of robotic logistics processes and the algorithms to optimize them. Basic Qualifications: * PhD in a relevant field, received within 2 years of starting the program * Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields * Experience in data science and quantitative research * Proficiency in technologies relevant to the subfield Preferred Qualifications: * Ability to independently deliver results in a fast-paced environment * Publications at top-tier, peer-reviewed conferences and/or journals * Exceptional verbal and written communication skills * Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies * Required application materials: CV, which lists all peer-reviewed publications, Research statement that outlines your research achievements and future research interests, and A journal article or conference paper that demonstrates your domain expertise. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, N.Reading - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Postdoctoral Scientist, Amazon Robotics Research and AI Development at Amazon.com Services LLC. Skills: AI-driven optimization, Robotic fulfillment, Fleet-level AI. Advance AI-driven optimization. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. The Radiation Oncology Department at City of Hope National Medical Center (COH) in the great Los Angeles area has an exciting opportunity to join our team as a Postdoctoral Fellow with a lot of exposure to clinical practice of radiotherapy physics. The Radiation Oncology Department at City of Hope is the largest Radiation Oncology enterprise in the southern California with more than 25 Linear Accelerators (Linacs) including special designed machines such as MR-guided Linac and PET-guided linac, Varian Ethos with adaptive radiotherapy capabilities. Different imaging simulators are also available within the department including CT, PET/CT and MRI. Research is highly active here. The primary goal of this position is to implement novel MRI and image processing techniques for the application in radiation therapy, including imaging guidance of radiotherapy treatment planning, treatment delivery and assessment of treatment outcomes. As a successful candidate, you will: Develop MR pulse sequences and perform image reconstruction. Conduct medical imaging post-processing using conventional and deep-learning based approaches. Coordinate MR imaging studies to promote applications of MRI in the application of radiotherapy. Assist in clinical radiation therapy physics practices related to dosimetry measurement, calibration, and quality assurance. Training will be provided beforehand. Your qualifications should include: Ph.D. degree in biomedical engineering, electrical engineering with a focus on MRI pulse sequence development Excellent coding skills in C++, Matlab or Python Excellent problem-solving skills and the ability to work independently and collaboratively. Preferred qualifications: Prefer to have extensive MR pulse sequence development experiences in Siemens, GE or Phillips platform. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our commitment to diversity, equity and inclusion, please click here . To learn more about our Comprehensive Benefits, please CLICK HERE . #PD United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Radiation Oncology at City of Hope. Skills: Radiation oncology, Cancer research, Computational modeling, Machine learning. Conduct research in radiation oncology. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. The Dr. M. James You laboratory in the Department of Pathology at City of Hope is looking for a talented Postdoctoral Fellow to conduct basic and translational research on hematologic malignancies, including leukemias, lymphomas, and myeloid neoplasms. The fellow will lead and support projects focused on the genetic, epigenetic, and molecular mechanisms driving disease initiation and progression, using a combination of mouse models, patient-derived samples, and high-throughput technologies, including next-generation sequencing, flow cytometry, and immunohistochemistry. This position offers a unique opportunity to work at the interface of research and clinical pathology, contribute to high-impact publications, and gain mentorship in translational cancer biology and academic career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular basis of hematologic malignancies. Work with mouse models, human tumor samples, and high-throughput technologies (e.g., next-generation sequencing, flow cytometry, and immunohistochemistry). Analyze genomic, transcriptomic, and phenotypic data to identify mechanisms of cancer progression and therapeutic resistance. Collaborate with a multidisciplinary team of scientists, pathologists, and clinicians. Contribute to the preparation of high-impact publications, grant proposals, and scientific presentations. Receive mentorship in experimental design, translational research, and career development. Your qualifications should include: A PhD, MD or MD/PhD in molecular biology, cancer genetics, cancer biology, pathology, immunology, or a related biomedical field. Familiarity with flow cytometry, RNA/DNA analysis, immunohistochemistry, or genomic technologies. Demonstrated productivity through peer-reviewed publications. Preferred qualifications: Strong research background in genetic engineered mouse modeling, molecular and cellular biology; experience with hematologic malignancies or cancer genomics is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. 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Reports potential problems or equipment malfunction to appropriate personnel. * Assists in maintaining a clean and orderly department to include procedure rooms, storage areas, dressing room, and any other areas in the department. * Works in a constant state of alertness and safe manner. * Performs other duties as assigned. EDUCATION * High School diploma/GED or 10 years of work experience EXPERIENCE * No experience required PHYSICAL REQUIREMENTS * Constant standing and walking. * Frequent use of vision and depth perception for distances near (20 inches or less) and far (20 feet or more). * Frequent use of hearing and speech to share information through oral communication. * Frequent use of hearing to distinguish body sounds and/or hear alarms, malfunctioning machinery, etc. * Frequent lifting/carrying and pushing/pulling objects weighing 0-25 lbs. * Frequent lifting/moving of patients. * Frequent reaching, gripping and keyboard use/data entry. * Occasional lifting/carrying and pushing/pulling objects weighing 25-50 lbs. * Occasional use of vision to identify and distinguish colors. * Occasional bending, stooping, squatting, twisting and repetitive foot/leg and hand/arm movements. * Rare kneeling and sitting. REQUIRED PROFESSIONAL LICENSE AND/OR CERTIFICATIONS State of Work Location: Illinois, Missouri, Oklahoma, Wisconsin * Basic Life Support HealthCare Provider (BLS HCP) - American Heart Association (AHA) **Work Shift:** Day Shift (United States of America) **Job Type:** Employee **Department:** 4218000040 Radiology Admin **Scheduled Weekly Hours:** 40 **Benefits:** SSM Health values our exceptional employees by offering a comprehensive benefits package to fit their needs. * **Paid Parental Leave :** we offer eligible team members one week of paid parental leave for newborns or newly adopted children (pro-rated based on FTE). * **Flexible Payment Options:** our voluntary benefit offered through DailyPay offers eligible hourly team members instant access to their earned, unpaid base pay (fees may apply) before payday. * **Upfront Tuition Coverage** : we provide upfront tuition coverage through FlexPath Funded for eligible team members. 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Operate mobile imaging equipment", "createdAt" : "2026-06-15T22:18:56.691", "lastUpdated" : "2026-06-16T06:36:53.426", "ingestTimestamp" : "2026-06-15T22:18:56.691", "mongoId" : "6a305b7ef292fd229cf5e81e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Mobile imaging", "Diagnostic imaging", "Radiation safety", "Radiology Technologist license" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 386.73932, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.85 }, { "id" : "6a2c712274d8ee00a092d7d8", "title" : "Postdoctoral Researcher", "company" : "University Health Network", "industry" : "Hospital And Health Care", "salary" : { "min" : 60000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada" ], "timestamp" : "2026-06-15T12:18:25.022", "fingerprint" : "58ff5b8edc3a906d86dc5b773558ca73a223cc9243936a80ee7884f1881a0ae8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000131924480-postdoctoral-researcher", "externalId" : "744000131924480", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "CONTRACT", "experienceLevel" : "not-applicable", "technicalSkills" : "Genomics, Epigenomics, NGS, HiChIP, HiC, ATAC-seq, CUT&RUN, CUT&Tag, Multi-omics, R, Python", "professionalSkills" : [ "Biomedical research", "Cancer research", "Genomic medicine", "Precision oncology", "Translational research", "Biomarker development", "Epigenome-informed therapeutics" ], "hardSkillsList" : [ "3D genome mapping", "Functional epigenomics", "Multi-omic integration", "Chromatin conformation assays", "NGS library preparation", "Organoid models", "Data analysis", "Data interpretation" ], "softSkillsList" : [ "Highly motivated" ], "hardSkills" : [ { "name" : "3D genome mapping", "level" : "intermediate" }, { "name" : "Functional epigenomics", "level" : "intermediate" }, { "name" : "Multi-omic integration", "level" : "intermediate" }, { "name" : "Chromatin conformation assays", "level" : "intermediate" }, { "name" : "NGS library preparation", "level" : "intermediate" }, { "name" : "Organoid models", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Highly motivated" } ], "majorSkills" : "3D genome organization, Epigenomics, Cancer biology, Genomics", "majorSkillsList" : [ "3D genome organization", "Epigenomics", "Cancer biology", "Genomics" ], "coreResponsibilities" : "Design research projects, Execute research projects, Perform chromatin conformation assays, Optimize chromatin conformation assays, Generate epigenomic datasets, Integrate epigenomic datasets, Contribute to multi-omics projects, Initiate multi-omics projects, Work with organoid models, Perform NGS library preparation, Optimize NGS library preparation, Collaborate with computational scientists, Analyze data, Interpret data, Lead manuscript preparation, Contribute to grant development, Mentor trainees, Contribute to lab environment", "teamCollaboration" : "Multidisciplinary research program; Collaborative lab environment; Computational scientists", "projectManagementSkills" : [ "Independent research directions" ], "domainKnowledge" : "Clinical oncology; Experimental biology; Computational genomics; Chromatin architecture; Epigenetic regulation; Cancer; 3D genome mapping; Functional epigenomics; Multi-omic integration; Tumor heterogeneity; Precision oncology; Biomarker development; Epigenome-informed therapeutics; Single-cell epigenomics; Spatial epigenomics", "domainList" : [ "clinical-oncology", "experimental-biology", "computational-genomics", "chromatin-architecture", "epigenetic-regulation", "cancer", "3d-genome-mapping", "functional-epigenomics", "multi-omic-integration", "tumor-heterogeneity", "precision-oncology", "biomarker-development", "epigenome-informed-therapeutics", "single-cell-epigenomics", "spatial-epigenomics" ], "domainSpecificKnowledge" : [ "Clinical oncology", "Experimental biology", "Computational genomics", "Chromatin architecture", "Epigenetic regulation", "Cancer", "3D genome mapping", "Functional epigenomics", "Multi-omic integration", "Tumor heterogeneity", "Precision oncology", "Biomarker development", "Epigenome-informed therapeutics", "Single-cell epigenomics", "Spatial epigenomics" ], "toolProficiency" : [ "HiChIP", "HiC", "ATAC-seq", "CUT&RUN", "CUT&Tag" ], "communicationSkills" : "Manuscript preparation; Grant development", "documentationSkills" : "Manuscript preparation", "continuousLearning" : "Opportunities for development; Opportunities for promotions", "innovationCreativity" : "Develop independent research directions", "problemSolvingSkills" : "Data analysis; Data interpretation", "specialRequirements" : "Criminal Record Check", "outcomesObjectives" : "Contribute to high-impact publications; Identify clinically actionable mechanisms", "qualificationsBasic" : "Ph.D. in Molecular Biology, Ph.D. in Cancer Biology, Ph.D. in Genomics, Ph.D. in related field, experimental background in functional genomics, experimental background in epigenomics assays, Hands-on experience with NGS library preparation, Experience with chromatin-based assays, Proven ability to design experiments, Proven ability to execute experiments, publication record, fluency in English, written, fluency in English, spoken, Ability to work in multidisciplinary environment", "qualificationsPreferred" : "Direct experience with 3D genome assays, Experience with organoid culture systems, Exposure to single-cell genomics, Exposure to spatial genomics technologies, Basic familiarity with R/Python, Basic familiarity with computational analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union : Non-Union Number of Vacancies : 1 New or Replacement Position : New Site : Princess Margaret Cancer Centre Department: Research Reports to: Principal Investigator Salary Range : $60,000 - $75,000 annually Hours: 37.5 hours a week Shifts: Monday - Friday Status : Temporary Full-Time (1 year contract) Closing Date : June 30, 2026 Position Summary Our lab is a multidisciplinary research program based at the Princess Margaret Cancer Centre (UHN) and closely integrated with the Structural Genomics Consortium (SGC). We operate at the intersection of clinical oncology, experimental biology, and computational genomics, with a focus on decoding chromatin architecture and epigenetic regulation in cancer. Our work combines 3D genome mapping, functional epigenomics, and multi-omic integration to understand tumor heterogeneity and identify clinically actionable regulatory mechanisms. A central goal of the lab is to translate epigenomic insights into precision oncology strategies, including biomarker development and epigenome-informed therapeutic approaches. We are seeking a highly motivated Postdoctoral Fellow to lead experimental efforts focused on 3D genome organization in cancer. The successful candidate will drive projects integrating chromatin architecture with transcriptional and regulatory landscapes, using a combination of bulk, single-cell, and spatial epigenomics approaches. The role includes substantial opportunity to develop independent research directions, contribute to high-impact publications, and engage in translational research aligned with precision medicine. This is an ideal position for candidates interested in working at the interface of experimental and computational epigenomics, within a collaborative and high-impact research environment. Duties * Design and execute independent research projects centered on 3D genome organization in cancer. * Perform and optimize chromatin conformation assays, including HiChIP, HiC and related targeted 3D genome methods. * Generate and integrate complementary epigenomic datasets, including ATAC-seq, CUT&RUN, CUT&Tag. * Contribute to or initiate single-cell and spatial multi-omics projects. * Work with patient-derived organoid models. * Perform and optimize NGS library preparation protocols across multiple assay types. * Collaborate closely with computational scientists for data analysis and interpretation. * Lead manuscript preparation and contribute to grant development. * Mentor trainees and contribute to a collaborative lab environment. ## Qualifications * Ph.D. in Molecular Biology, Cancer Biology, Genomics, or a related field, required * Strong experimental background in functional genomics and epigenomics assays. * Hands-on experience with next-generation sequencing (NGS) library preparation. * Experience with chromatin-based assays, for example ATAC-seq, HiC-based methods, CUT&RUN. * Proven ability to independently design and execute experiments. * Strong publication record. * Excellent communication skills and fluency in English, written and spoken. * Ability to work effectively in a collaborative, multidisciplinary environment. * Direct experience with 3D genome assays, such as Hi-C, HiChIP, Capture-C, or related methods, an asset * Experience with organoid culture systems, an asset * Exposure to single-cell or spatial genomics technologies, an asset * Basic familiarity with computational analysis of genomic data, such as R/Python, an asset ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network. Skills: 3D genome organization, Epigenomics, Cancer biology, Genomics. Design research projects. Execute research projects", "postedDate" : "2026-06-12T14:56:07.000", "createdAt" : "2026-06-13T09:47:45.340", "lastUpdated" : "2026-06-15T12:18:25.022", "ingestTimestamp" : "2026-06-14T07:55:54.401", "mongoId" : "6a2c712274d8ee00a092d7d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "3D genome mapping", "Functional epigenomics", "Multi-omic integration", "Chromatin conformation assays", "NGS library preparation", "Organoid models", "Data analysis", "Data interpretation", "Highly motivated", "3D genome organization", "Epigenomics", "Cancer biology", "Genomics", "Biomedical research", "Cancer research", "Genomic medicine", "Precision oncology", "Translational research", "Biomarker development", "Epigenome-informed therapeutics", "Independent research directions", "Clinical oncology", "Experimental biology", "Computational genomics", "Chromatin architecture", "Epigenetic regulation", "Cancer", "Tumor heterogeneity", "Single-cell epigenomics", "Spatial epigenomics", "HiChIP", "HiC", "ATAC-seq", "CUT&RUN", "CUT&Tag" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 372.73676, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde45b2beec4dd3d9a3f19", "title" : "Imaging Coordinator - Women’s Imaging Breast Center", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 58000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for an Imaging Coordinator in Irvine, California, adjusted for mid-seniority and the healthcare industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "Radiology/Imaging", "Onsite, Days, Days" ], "timestamp" : "2026-06-15T09:30:15.798", "fingerprint" : "cdbfc84bd854ec113daf67772b02d35c2be3dff6e3c8bcd88b0684c00dcd4e74", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=231249", "externalId" : "231249", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "minimumEducation" : "High School", "softSkillsList" : [ "Honesty", "Confidentiality" ], "softSkills" : [ { "name" : "Honesty" }, { "name" : "Confidentiality" } ], "domainKnowledge" : "Women's Imaging; Breast Center", "domainList" : [ "women-s-imaging", "breast-center" ], "domainSpecificKnowledge" : [ "Women's Imaging", "Breast Center" ], "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. Position Summary: The Imaging Coordinator oversees the care coordination of patients in the Imaging Department, to include Women’s Imaging Breast Center. As a successful candidate, you will: Serves as the point person to manage sensitive and high cost resources to include but not limited to: physician orders, patient scheduling, assigned MQSA tasks, tasks, Coordinates scheduling, planning, and patient account charge audits and reconciliations. Responsible for reconciling program reports, patient tracking, and manages program related projects. Attends meetings, communicates program updates and facilitates input from staff. Point of contact for project assignments for Women’s Imaging Breast Center. Follows established City of Hope and department policies, procedures, objectives, performance improvement, attendance, safety, environmental, and infection control guidelines, including adherence to the workplace Code of Conduct and Compliance Plan. Practices a high level of integrity and honesty in maintaining confidentiality. Your qualifications should include: High School Diploma or GED. Three years in Women’s Imaging Breast Center patient coordination and scheduling Knowledge of Breast Imaging and Procedure Scheduling, Knowledge of MQSA Regulations and functions City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Irvine", "summaryDescription" : "Imaging Coordinator - Women’s Imaging Breast Center at City of Hope", "createdAt" : "2026-06-14T06:09:12.899", "lastUpdated" : "2026-06-15T09:30:15.798", "ingestTimestamp" : "2026-06-14T06:09:12.899", "mongoId" : "69dde45b2beec4dd3d9a3f19", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Honesty", "Confidentiality", "Women's Imaging", "Breast Center" ], "skillCount" : 4, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 371.8885, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c75c774d8ee00a093812c", "title" : "Radiologists required for AI Project (CT Scans)", "company" : "Mentis AI", "industry" : "Healthcare", "salary" : { "min" : 7500000.0, "max" : 1.2E7, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for senior radiologists in India, adjusted for remote contract work in the AI healthcare sector." }, "location" : "USA", "locations" : [ "USA" ], "certifications" : [ "Board certification in Radiology" ], "timestamp" : "2026-06-15T09:08:33.334", "fingerprint" : "9934347c53483b0e1531070dfa0e2b00bf1c64551787b8a1fd0bc4017c127eea", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aptura/a7d1ce00-9d66-453a-8d99-15defaf0a628/application", "externalId" : "a7d1ce00-9d66-453a-8d99-15defaf0a628", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "CT imaging", "professionalSkills" : [ "Segmentation review", "Anatomical accuracy" ], "hardSkillsList" : [ "Clinical reasoning" ], "hardSkills" : [ { "name" : "Clinical reasoning", "level" : "intermediate" } ], "majorSkills" : "AI review, CT segmentation", "majorSkillsList" : [ "AI review", "CT segmentation" ], "coreResponsibilities" : "Review pre-annotated segmentations, Evaluate segmentations, Refine segmentations, Approve segmentations, Correct segmentations", "teamCollaboration" : "Collaborate with AI researchers; Partner with researchers; Partner with clinicians", "domainKnowledge" : "Liver tumor segmentation; Ablation zone segmentation; Oncologic imaging; Interventional radiology; Hepatic oncology", "domainList" : [ "liver-tumor-segmentation", "ablation-zone-segmentation", "oncologic-imaging", "interventional-radiology", "hepatic-oncology" ], "domainSpecificKnowledge" : [ "Liver tumor segmentation", "Ablation zone segmentation", "Oncologic imaging", "Interventional radiology", "Hepatic oncology" ], "toolProficiency" : [ "Annotation platform" ], "qualificationsBasic" : "Board certification in Radiology, Minimum 5 years clinical experience, Proficiency in interpreting hepatic CT imaging", "qualificationsPreferred" : "Fellowship-Trained Abdominal / Oncology Radiologist, Liver Radiologist, Abdominal Radiologist, Radiologist with Hepatic Oncology Focus", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Mentis AI is recruiting U.S based, board-certified Radiologists to participate in an AI review project focused on liver tumor and ablation zone segmentation in CT imaging. This is a opportunity for experienced radiologists to play a direct role in shaping how AI identifies, delineates, and interprets liver tumors and ablation zones with real implications for how these systems will perform in clinical practice. As part of this project, you'll collaborate with AI researchers to review, evaluate, and refine pre-annotated CT segmentations used to train and validate AI systems operating in oncologic and interventional radiology settings. Your clinical expertise is essential to ensuring the platform is accurate, safe, and grounded in real-world interventional reasoning. This role is fully remote, flexible, and well-suited to interventional radiologists balancing existing clinical, academic, or research commitments. ABOUT MENTIS AI At Mentis AI, we help companies build the next generation of clinically grounded artificial intelligence. We work directly with specialist clinicians to ensure AI is safe, accurate, and aligned with how medicine is truly practised. As a clinical expert contributor, you'll have hands-on exposure to frontier AI model development in oncologic imaging, partnering with researchers and fellow clinicians to directly influence the future of liver cancer detection, treatment planning, and ablation assessment technology. PROJECT OVERVIEW Radiologists will be given access to a curated liver CT dataset on a dedicated annotation platform and tasked with the following: Segmentation Review: Systematically review pre-annotated liver tumor and ablation zone segmentations across CT cases, assessing each for clinical and anatomical accuracy. Approval & Correction: For each case, either approve the existing segmentation or apply corrections where the annotation does not meet clinical standards. Each reviewed case receives a status of Approved, Corrected, or Excluded, alongside a difficulty score rated on a Likert scale from 1 to 5. REQUIREMENTS - Board certification in Radiology in the United States: - Liver Radiologist - Abdominal Radiologist - Radiologist with Hepatic Oncology Focus (HCC/CRLM) - Fellowship-Trained Abdominal / Oncology Radiologist - Minimum 5 years clinical experience in radiology post board certification - Strong proficiency in interpreting hepatic CT imaging, including pre- and post-ablation assessment - Excellent analytical skills with high attention to anatomical detail and clinical accuracy - Comfortable working independently and asynchronously in a remote environment WHAT WE OFFER - Flexible scheduling compatible with existing clinical or academic commitments - Fully remote participation from anywhere in the United States - Competitive compensation, paid on an hourly basis ", "summaryDescription" : "Radiologists required for AI Project (CT Scans) at Mentis AI. Skills: AI review, CT segmentation. Review pre-annotated segmentations. 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With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union : Non-Union Number of Vacancies : 1 New or Replacement Position : New Site : Princess Margaret Cancer Centre Department: Research Reports to: Principal Investigator Salary Range : $60,000 - $75,000 annually Hours: 37.5 hours a week Shifts: Monday - Friday Status : Temporary Full-Time (1 year contract) Closing Date : June 30, 2026 Position Summary Our lab is a multidisciplinary research program based at the Princess Margaret Cancer Centre (UHN) and closely integrated with the Structural Genomics Consortium (SGC). We operate at the intersection of clinical oncology, experimental biology, and computational genomics, with a focus on decoding chromatin architecture and epigenetic regulation in cancer. Our work combines 3D genome mapping, functional epigenomics, and multi-omic integration to understand tumor heterogeneity and identify clinically actionable regulatory mechanisms. A central goal of the lab is to translate epigenomic insights into precision oncology strategies, including biomarker development and epigenome-informed therapeutic approaches. We are seeking a highly motivated Postdoctoral Fellow to lead experimental efforts focused on 3D genome organization in cancer. The successful candidate will drive projects integrating chromatin architecture with transcriptional and regulatory landscapes, using a combination of bulk, single-cell, and spatial epigenomics approaches. The role includes substantial opportunity to develop independent research directions, contribute to high-impact publications, and engage in translational research aligned with precision medicine. This is an ideal position for candidates interested in working at the interface of experimental and computational epigenomics, within a collaborative and high-impact research environment. Duties * Design and execute independent research projects centered on 3D genome organization in cancer. * Perform and optimize chromatin conformation assays, including HiChIP, HiC and related targeted 3D genome methods. * Generate and integrate complementary epigenomic datasets, including ATAC-seq, CUT&RUN, CUT&Tag. * Contribute to or initiate single-cell and spatial multi-omics projects. * Work with patient-derived organoid models. * Perform and optimize NGS library preparation protocols across multiple assay types. * Collaborate closely with computational scientists for data analysis and interpretation. * Lead manuscript preparation and contribute to grant development. * Mentor trainees and contribute to a collaborative lab environment. ## Qualifications * Ph.D. in Molecular Biology, Cancer Biology, Genomics, or a related field, required * Strong experimental background in functional genomics and epigenomics assays. * Hands-on experience with next-generation sequencing (NGS) library preparation. * Experience with chromatin-based assays, for example ATAC-seq, HiC-based methods, CUT&RUN. * Proven ability to independently design and execute experiments. * Strong publication record. * Excellent communication skills and fluency in English, written and spoken. * Ability to work effectively in a collaborative, multidisciplinary environment. * Direct experience with 3D genome assays, such as Hi-C, HiChIP, Capture-C, or related methods, an asset * Experience with organoid culture systems, an asset * Exposure to single-cell or spatial genomics technologies, an asset * Basic familiarity with computational analysis of genomic data, such as R/Python, an asset ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network", "postedDate" : "2026-06-12T14:56:07.000", "createdAt" : "2026-06-14T19:50:46.734", "lastUpdated" : "2026-06-16T04:32:03.275", "ingestTimestamp" : "2026-06-14T19:50:46.734", "mongoId" : "6a2d6fcb74d8ee00a0be37e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 368.75787, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c712274d8ee00a092d7db", "title" : "Postdoctoral Researcher", "company" : "University Health Network", "industry" : "Research", "salary" : { "min" : 54902.0, "max" : 93333.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:02.576", "fingerprint" : "65fda312bf4c7396d2f6c51e803303aace1711755825d68285be8cb24c9d5473", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000131913639-postdoctoral-researcher", "externalId" : "744000131913639", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "SQL, Python, R, Spark, Dbt, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create and maintain BI dashboards, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Stay up-to-date with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; Business intelligence; Analytics engineering; Quantitative analysis", "domainList" : [ "data-science", "data-engineering", "machine-learning", "business-intelligence", "analytics-engineering", "quantitative-analysis" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Model development", "qualificationsBasic" : "Master's degree in Statistics, Computer Science, Mathematics, or related field, 3+ years of experience in data science or analytics, Proficiency in SQL, Experience with Python or R for data analysis", "qualificationsPreferred" : "PhD in a quantitative field, Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Experience with cloud platforms (AWS, GCP, Azure), Cloud data platform certifications (e.g., GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union: Non-Union Number of Vacancies: 1 New or Replacement Position: New Site: MaRS Department: PM Research Reports to: Senior Scientist Salary Range: $54,902 - $93,333 Per Year Hours: 37.5 Hours Per Week Shifts: Monday - Friday; Day Shifts Status: Temporary Full-time (2-Year Contract) Closing Date: June 26, 2026 Position Summary: We are seeking a postdoctoral researcher with strong expertise in AI/ML to join a major interdisciplinary initiative focused on developing foundation models and secure computational infrastructure for translational cancer research. The first major objective is to build a general-purpose drug foundation model capable of transfer learning across diverse prediction tasks, including mechanism of action classification, clinical drug response prediction in tumour subtypes, ADMET and toxicity profiling, combinatorial drug synergy, and drug repurposing. The goal is to move beyond task-specific architectures and datasets toward flexible models that can generalize across therapeutic contexts. The second major objective is to develop and apply secure, scalable, and privacy-preserving computational infrastructure to support biomarker discovery across diverse treatment modalities. This will include building agentic AI approaches to harmonize clinical, genomic, and transcriptomic data across public and private cohorts, while assessing the predictive value of DNA and RNA signatures in federated settings where sensitive data remain under local governance. Together, these efforts aim to advance AI-driven drug discovery, biomarker development, and clinical translation by integrating modern machine learning, multimodal biomedical data, and robust distributed analysis frameworks. The successful candidate will work in the Haibe-Kains Lab at the Princess Margaret Cancer Centre, University Health Network. Duties: * Design and implement multimodal drug foundation models that integrate molecular graph representations, bulk transcriptomic perturbation signatures, and multi-omics cell-state representations. * Develop transfer learning strategies to support diverse drug prediction tasks, including mechanism of action classification, clinical drug response prediction, ADMET and toxicity profiling, combinatorial drug synergy, and drug repurposing. * Build flexible AI/ML workflows that reduce reliance on task-specific architectures and enable generalization across therapeutic contexts, tumour subtypes, and treatment modalities. * Architect and deploy secure, scalable, and privacy-preserving computational infrastructure for biomarker discovery and translational cancer research. * Develop agentic AI-enabled frameworks to support the harmonization, annotation, quality control, and integration of clinical, genomic, and transcriptomic data across public cohorts and private institutional datasets. * Implement distributed and federated analysis pipelines in which each contributing dataset can be analysed separately, enabling multi-cohort biomarker assessment without raw data centralization. * Develop systematic workflows to evaluate published and user-specified DNA and RNA signatures, including immune, stromal, mutation-based, pathway-level, and treatment-response signatures. * Assess the predictive value of molecular signatures across cancer types and treatment modalities, including chemotherapy, targeted therapy, immunotherapy, and emerging therapeutic approaches. * Integrate biomarker discovery and immunotherapy inference pipelines with clinical data warehouses to support translational studies in collaboration with clinical, industry, and computational partners. * Contribute to responsible data sharing frameworks, data governance processes, IRB/ethics protocols, and regulatory documentation as required. * Collaborate closely with computational biologists, software developers, clinicians, and wet-lab scientists to build, validate, and translate predictive models and biomarker discovery workflows. ## Qualifications * Awarded a PhD within the previous 5 years, or an MD or DDS within the previous 10 years in a relevant quantitative or biomedical discipline, including but not limited to: Computational Biology, Bioinformatics, Systems Biology, or Quantitative Genomics; Machine Learning, Artificial Intelligence, Computer Science, or Data Science; Biostatistics, Biomedical Engineering, or related fields * Demonstrated experience developing or applying deep learning methods to molecular, biological, clinical, or multi-omics data. * Expertise in one or more modern AI/ML approaches relevant to foundation models or representation learning, such as graph neural networks, transformers, generative models, self-supervised learning, few-shot or zero-shot learning, or transfer learning. * Strong programming skills in Python and/or R, with practical experience using modern machine learning frameworks and tooling such as PyTorch, Hugging Face, PyTorch Geometric, Deep Graph Library, scikit-learn, or equivalent platforms. * Experience working with large-scale biomedical datasets, such as molecular graphs, transcriptomic perturbation profiles, multi-omics data, clinical genomics, electronic health record-derived data, or treatment-response datasets. * Proficiency with reproducible workflow management systems such as Snakemake, Nextflow, CWL, or equivalent pipeline frameworks. * Familiarity with cloud or high-performance computing environments, such as GCP, AWS, SLURM-based clusters, or equivalent infrastructure. * Understanding of data harmonization, privacy-preserving analysis, federated learning, secure distributed computing, or clinical data governance is highly desirable. * Strong publication record, commensurate with career stage, in computational biology, AI/ML, bioinformatics, biostatistics, biomedical data science, or related fields. * Excellent communication skills and ability to work collaboratively in interdisciplinary teams spanning computational biology, machine learning, software engineering, oncology, and clinical research. * Experience with clinical data harmonization (e.g., OMOP CDM, HL7 FHIR) is preferred. * Experience designing scalable bioinformatics pipelines for large-scale genomic or transcriptomic datasets, preferred. * Understanding of regulatory and data governance requirements in clinical research settings, preferred. * Prior collaborative work across computational and clinical or wet-lab research teams, preferred. ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data models. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. Dr. Mingye Feng’s laboratory at the Beckman Research Institute of City of Hope National Medical Center is looking for a talented and highly motivated Postdoctoral Fellow. His laboratory employs cutting-edge techniques to understand mechanisms of macrophages in cancer immunosurveillance, identify immune checkpoints and ligands on various hematopoietic malignant and solider tumor cells with high-throughput screening and protein engineering approaches developed in the lab, and develop novel cancer immunotherapies targeting metastatic cancer cells. Cancer immunotherapy is one of the most important breakthroughs in the development of cancer treatment approaches. As one of the largest populations of immune cells in human body and the major components of primary tumors and the metastatic sites, macrophages are key effectors mediating tumor immunosurveillance. Macrophage-based cancer immunotherapy is considered one of the most promising fields in cancer immunology and the next generation of cancer immunotherapy. The lab is well supported by multiple grants from NIH and other research foundations. All the research platforms have been well established in the lab. Translational medicine is highly promoted at City of Hope. The lab is collaborating with clinicians at the Helford Clinical Research Hospital at City of Hope to translate research work in the laboratory to clinically viable agents and therapies. For more information about Dr. Feng’s lab, please visit here. As a successful candidate, you will: Utilize a combination of cell biological, molecular biological, cell engineering and immunological assays, large-scale high-throughput screening approaches (CRISPR screen, drug screen, etc.) and in vivo preclinical models to study interactions between cancer cells and macrophages and develop novel macrophage-mediated cancer immunotherapies. Your qualifications should include: A PhD in relevant field – cancer biology, immunology, or cell biology. Excellent verbal and written skills and integral working ethics. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . #PD United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Cancer Immunology at City of Hope. Skills: Cancer immunology, Immunotherapy, Macrophage biology. 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Develop novel macrophage-mediated cancer immunotherapies", "createdAt" : "2026-06-14T06:48:39.046", "lastUpdated" : "2026-06-15T09:57:42.076", "ingestTimestamp" : "2026-06-14T06:48:39.046", "mongoId" : "69fd34b84c40e2acd1b2f5e6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Cell biology", "Molecular biology", "Immunological assays", "High-throughput screening", "Preclinical models", "Cancer immunology", "Immunotherapy", "Macrophage biology", "Cancer immunosurveillance", "Immune checkpoints", "Metastatic cancer cells", "Tumor microenvironment", "Hematopoietic malignant cells", "Solid tumor cells" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 360.81326, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a1613f758b93c861e8d2907", "title" : "Manager, Imaging – Interventional Radiology", "company" : "City of Hope", "industry" : "Healthcare", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Imaging – Interventional Radiology in Irvine, United States, adjusted for seniority and industry." }, "location" : "United States-California-Irvine", "locations" : [ "United States-California-Irvine", "Radiology/Imaging", "Onsite, Days, Days" ], "timestamp" : "2026-06-16T06:02:51.852", "fingerprint" : "a0a084fd24f0d7dbf4d599eba98af9bad2b8ceda535876ddde92283eab4725e7", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=240148", "externalId" : "240148", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Irvine", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6856969,-117.8259810" } ], "locationText" : "Irvine, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "coreResponsibilities" : "Manage imaging services, Ensure quality patient care, Oversee departmental operations, Develop and implement policies, Manage staff performance, Control budget, Collaborate with physicians, Ensure regulatory compliance", "teamCollaboration" : "Physicians; Department staff", "domainKnowledge" : "Interventional Radiology", "domainList" : [ "interventional-radiology" ], "domainSpecificKnowledge" : [ "Interventional Radiology" ], "qualificationsBasic" : "5+ years experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Manager, Imaging – Interventional Radiology Join the transformative team at City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today. About City of Hope Orange County City of Hope Orange County is transforming cancer treatment by bringing world-class expertise and specialized care closer to home. Supported by a regional network of care, our 11-acre academic cancer campus in Irvine is home to City of Hope Orange County Lennar Foundation Cancer Center, our outpatient cancer center, and Orange County’s only cancer specialty hospital. CLICK HERE to learn more about the Lennar Foundation Cancer Center! With new hospital now open, the full continuum of advanced cancer care—from prevention through survivorship—is now available in Orange County for the first time, eliminating the need to travel for lifesaving treatment. Seamlessly connected to our outpatient cancer center, the new clinical research hospital features 73 inpatient beds, advanced surgical suites, groundbreaking clinical trials, and holistic services such as rehabilitative therapy and spiritual care. This isn’t standard cancer care. This is lifesaving cancer care. This is Hope. Be part of a forward-thinking imaging leadership team where you will shape strategy, strengthen operations, and drive continuous improvement across multiple modalities. This role provides the opportunity to lead and develop high-performing teams, manage budgets, ensure regulatory compliance, and implement initiatives that enhance efficiency, quality, and patient outcomes. We are seeking a collaborative leader who excels at staff development, operational excellence, and advancing imaging services within a complex healthcare environment. As a successful candidate, you will support: · Operational Management: Directsday-to-day workflow, patient flow, and scheduling to ensure efficient, safe procedures. Responsible for department budget goals, such as EBIDA and productivity benchmarking · Leadership & Staffing: Manage, hire, and mentor technologists in IR & CT, ensuring proficiency in IR cases and safe patient care. · Quality & Compliance: Maintain compliance with regulatory bodies, safety standards (including radiation safety), and quality assurance protocols. Oversee quality improvement initiatives in partnership with key leaders and stakeholders. · Collaboration: Partner with Interventional radiologists, APPs, and clinical leaders, both internal and external to the department, to develop best clinical practices. Leads agility and change management by building adaptable teams and driving continuous improvement. Your qualifications should include: Bachelor’s Degree or equivalent experience Five years of experience in functional area. 1+ year in a Radiology management/leadership position. Highly Preferred Abilities, Skills and Licensure: Experience with 100% IR/CT/US procedural focus, substantial clinical experience in IR and oncology American Registry of Radiologic Technology certification(s) (ARRT) or California Radiologic Technology Certification (CRF) ; Procedural experience in IR, including CT and US guidance. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Irvine", "summaryDescription" : "Manager, Imaging – Interventional Radiology at City of Hope. Manage imaging services. Ensure quality patient care", "createdAt" : "2026-06-14T18:53:02.105", "lastUpdated" : "2026-06-16T06:02:51.852", "ingestTimestamp" : "2026-06-14T18:53:02.105", "mongoId" : "6a1613f758b93c861e8d2907", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Interventional Radiology" ], "skillCount" : 1, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 359.0362, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a21039f74d8ee00a0ac8f24", "title" : "Postdoctoral Appointee", "company" : "Argonne National Laboratory", "salary" : { "min" : 72879.0, "max" : 121465.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Lemont, IL USA", "locations" : [ "Lemont, IL USA", "United States of America" ], "timestamp" : 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}, { "name" : "Model validation", "level" : "intermediate" } ], "majorSkills" : "Federated learning, Multimodal AI, Privacy-preserving ML, Foundation models", "majorSkillsList" : [ "Federated learning", "Multimodal AI", "Privacy-preserving ML", "Foundation models" ], "coreResponsibilities" : "Conduct research in federated learning, Conduct research in privacy-preserving ML, Conduct research in multimodal AI, Conduct research in foundation model adaptation, Develop methods for multimodal federated learning, Integrate information across distributed datasets, Design continuous learning approaches, Improve models over time, Explore agentic AI approaches, Assist with task orchestration, Assist with experiment planning, Assist with model evaluation, Assist with workflow automation, Assist with decision support, Build software capabilities in federated learning, Emphasize scalable research software, Emphasize reproducible research software, Emphasize secure research software, Emphasize extensible research software, Evaluate model performance, Evaluate model robustness, Evaluate model generalizability, Evaluate model fairness, Evaluate model privacy, Evaluate data readiness, Contribute to secure AI workflows, Collaborate with interdisciplinary teams, Prepare research results for publication, Communicate findings through presentations, Communicate findings through technical reports, Communicate findings through project meetings, Communicate findings through software documentation, Support project milestones, Support project demonstrations, Support project deliverables, Develop working prototypes, Develop experimental benchmarks, Develop reusable software components", "teamCollaboration" : "Multidisciplinary teams; Interdisciplinary teams; AI researchers; Biomedical scientists; Software engineers; Security experts; HPC specialists; Collaborative research environment; Collaborative software projects; Interdisciplinary audiences", "projectManagementSkills" : [ "Workflow 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"Biomedical informatics", "Computational biology", "Biomedical AI", "Foundation models", "Multimodal learning", "Federated learning", "Privacy-preserving computation", "Distributed data environments", "Clinical data", "Imaging data", "Omics data", "Text data", "Experimental data", "Sensor data", "High-dimensional data", "Trusted research environments", "Secure enclaves" ], "toolProficiency" : [ "Python", "PyTorch", "TensorFlow", "JAX", "APPFL", "Flower", "FedML", "NVIDIA FLARE", "Kubernetes", "Docker", "Apptainer", "Singularity" ], "communicationSkills" : "Written communication; Oral communication; Manuscript preparation; Technical reports; Presentations; Documentation; Scientific communication; Technical writing; Publish research; Present technical work", "documentationSkills" : "Software documentation; Technical reports; Manuscripts", "continuousLearning" : "Continual learning; Foundation model adaptation; Model improvement over time", "innovationCreativity" : "Develop new methods; Explore agentic AI approaches; Technical creativity; Research prototypes", "problemSolvingSkills" : "Model evaluation; Data analysis; Troubleshooting; Root cause analysis", "outcomesObjectives" : "Advance trustworthy AI; Publish research findings; Present at conferences; Contribute to open-source software; Support project milestones; Develop working prototypes; Develop experimental benchmarks; Develop reusable software components", "qualificationsBasic" : "Ph.D. completed within 0-5 years, Programming skills in Python, Experience developing ML software, Experience with ML/deep learning frameworks, Knowledge of federated learning, Knowledge of distributed ML, Knowledge of privacy-preserving AI, Knowledge of foundation models, Knowledge of multimodal learning, Knowledge of continual learning, Ability to design computational experiments, Ability to analyze model performance, Ability to communicate results clearly, Experience with large-scale datasets, Ability to work independently, Ability to contribute to research team, Written communication skills, Oral communication skills, Ability to prepare manuscripts, Ability to prepare technical reports, Ability to prepare presentations, Ability to prepare documentation, Ability to model Argonne's core values", "qualificationsPreferred" : "Experience developing federated learning frameworks, Experience with multimodal biomedical data, Familiarity with foundation models, Familiarity with large language models, Familiarity with vision-language models, Familiarity with biomedical AI models, Familiarity with privacy-preserving techniques, Experience with distributed computing, Experience with cloud computing, Experience with containers, Experience with Kubernetes, Experience with Docker, Experience with Apptainer/Singularity, Experience with HPC environments, Experience with MLOps, Experience with reproducible workflows, Experience with experiment tracking, Experience with CI/CD, Experience with software testing, Experience with benchmarking, Experience with open-source software development, Familiarity with biomedical AI validation, Familiarity with data readiness assessment, Familiarity with model evaluation, Familiarity with regulatory-grade evidence generation, Familiarity with independent verification and validation workflows, Publish research, Contribute to collaborative software projects, Present technical work to interdisciplinary audiences", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Argonne team is seeking two highly motivated postdoctoral researchers to help shape the next generation of secure, scalable, and continuously learning AI systems for biomedical discovery. This position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to be centralized. The successful candidates will work at the intersection of federated learning, foundation models, multimodal biomedical AI, privacy-preserving machine learning, continuous learning, and agentic AI systems. This is an opportunity to conduct applied research that advances trustworthy AI for biomedical and national security-relevant use cases while working in a multidisciplinary environment that brings together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning across heterogeneous data types such as clinical, imaging, omics, text, and experimental data. The work will include developing approaches for continual model improvement, adaptive federated training, model evaluation, workflow automation, and AI-assisted orchestration of distributed learning tasks. The position will also provide opportunities to contribute to open-source software, publish research findings, present at major conferences and workshops, and collaborate with partners across national laboratories, universities, government agencies, and biomedical research organizations. The work will take place in a collaborative, mission-driven research environment that values technical creativity, rigorous engineering, scientific impact, and teamwork. The group works on practical AI systems that connect research prototypes to real-world deployment environments, including cloud, secure enclaves, trusted research environments, and leadership computing platforms. Candidates should be comfortable working in a fast-moving research setting where methods development, software implementation, experimentation, and scientific communication are all important parts of the role. Core Responsibilities: * Conduct research and development in federated learning, privacy-preserving machine learning, multimodal AI, and foundation model adaptation for biomedical and related scientific applications. * Develop new methods for multimodal federated learning that can integrate information across distributed datasets, including imaging, omics, clinical, text, sensor, and other structured or unstructured data modalities. * Design and implement continuous learning approaches that allow models to improve over time as new data, validation results, or experimental feedback become available. * Explore agentic AI approaches for federated learning, including AI agents that can assist with task orchestration, experiment planning, model evaluation, workflow automation, and decision support across distributed environments. * Build and extend software capabilities in federated learning frameworks, with emphasis on scalable, reproducible, secure, and extensible research software. * Evaluate model performance, robustness, generalizability, fairness, privacy, and data readiness across heterogeneous sites and datasets. * Contribute to the design of secure AI workflows that may involve trusted research environments, secure enclaves, privacy-preserving computation, differential privacy, secure aggregation, or related techniques. * Collaborate with interdisciplinary teams, including AI researchers, biomedical scientists, software engineers, security experts, and high-performance computing specialists. * Prepare research results for publication in peer-reviewed conferences and journals, and communicate findings through presentations, technical reports, project meetings, and software documentation. * Support project milestones, demonstrations, and deliverables by developing working prototypes, experimental benchmarks, and reusable software components. **Position Requirements** _Required Skills and Qualifications:_ * Ph.D. completed within the last 0–5 years in computer science, data science, biomedical informatics, computational biology, bioengineering, applied mathematics, electrical engineering, or a related field. * Strong programming skills in Python and experience developing research or production-quality machine learning software. * Experience with machine learning or deep learning frameworks such as PyTorch, TensorFlow, JAX, or similar tools. * Knowledge of federated learning, distributed machine learning, privacy-preserving AI, foundation models, multimodal learning, continual learning, or related areas. * Ability to design and conduct computational experiments, analyze model performance, and communicate results clearly. * Experience working with large-scale or complex datasets, including structured, unstructured, multimodal, biomedical, scientific, or high-dimensional data. * Ability to work independently while contributing effectively to a multidisciplinary research team. * Strong written and oral communication skills, including the ability to prepare manuscripts, technical reports, presentations, and documentation. * Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork. _Preferred Skills and Qualifications:_ * Experience developing or extending federated learning frameworks such as APPFL, Flower, FedML, NVIDIA FLARE, or similar systems. * Experience with multimodal biomedical data, including combinations of clinical records, medical imaging, pathology, genomics, transcriptomics, proteomics, wearable/sensor data, or scientific text. * Familiarity with foundation models, large language models, vision-language models, biomedical AI models, or model fine-tuning methods such as LoRA, adapters, instruction tuning, or retrieval-augmented generation. * Experience with continual learning, active learning, reinforcement learning, closed-loop learning, or human-in-the-loop AI workflows. * Experience with agentic AI frameworks, tool-using LLMs, workflow orchestration, AI planning systems, or multi-agent systems. * Familiarity with privacy and security techniques such as differential privacy, secure aggregation, secure multiparty computation, homomorphic encryption, trusted execution environments, or secure enclaves. * Experience with distributed computing, cloud computing, containers, Kubernetes, Docker, Apptainer/Singularity, or high-performance computing environments. * Experience with MLOps, reproducible workflows, experiment tracking, CI/CD, software testing, benchmarking, or open-source software development. * Familiarity with biomedical AI validation, data readiness assessment, model evaluation, regulatory-grade evidence generation, or independent verification and validation workflows. * Demonstrated ability to publish research, contribute to collaborative software projects, or present technical work to interdisciplinary audiences. **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time ### The expected hiring range for this position is $72,879.00-$121,465.00. ### Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click [_here_](https://www.anl.gov/hr/healthcare-insurance) to view Argonne employee benefits! ### _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne 's Legal Department. _ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._", "summaryDescription" : "Postdoctoral Appointee at Argonne National Laboratory. Skills: Federated learning, Multimodal AI, Privacy-preserving ML, Foundation models. Conduct research in federated learning. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Research Fellow position is open under Dr. Nagarajan Vaidehi within the department of Computational and Quantitative Medicine. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable design of allosteric modulators. You will work on developing design principles of targeted protein degradation in collaboration with Pharma. For more information on Dr. Vaidehi’s lab please visit here . Your qualifications should include: · PhD or M.D. in Chemistry, Physics or Biochemistry with experience in protein dynamics studies. · Knowledgeable about concepts in statistical thermodynamics, in python scripting and C++ programming. · Familiarity with Molecular Dynamics methods and experience in code development is preferred. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Postdoctoral Fellow - Computational and Quantitative Medicine at City of Hope. 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D. in Bioinformatics, Genomics data analysis experience, R/Python programming proficiency, Linux HPC experience", "qualificationsPreferred" : "Machine learning methods experience, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is available immediately at the Arthur Riggs Diabetes and Metabolism Research Institute (ARDMRI) at City of Hope National Medical center under Dr. Supriyo Bhattacharya. Our mission is to advance the next generation of in-silico algorithms for understanding diabetes and related disease mechanisms and identifying actionable therapeutic targets. Interested candidates should apply by emailing their CV and a cover letter describing background and research interests. As a successful candidate, you will: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics integration. Your qualifications should include: · Ph.D. in Bioinformatics or related discipline · Hands on experience in genomics data analysis, including bulk and single cell RNA-seq, ATAC-seq and CHIP-seq. · Expertise in downstream analysis and biological interpretation of bioinformatic findings · Proficiency in R/Python programming, developing analysis pipelines and experience in working with Linux HPCs · Experience in applying machine learning methods to genomics data analysis · Experience in navigating public databases and genomics data repositories · Prior experience and knowledge in diabetes and metabolic disease research would be considered a plus. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Genomics Research at City of Hope. 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Collaborate with program leaders; Collaborate with administration; Collaborate with investigators; Collaborate with Radiation Safety; Collaborate with EH&S; Collaborate with Cancer Center", "projectManagementSkills" : [ "Business planning" ], "domainKnowledge" : "Cancer biology; Tumor progression models; Therapeutic mechanism-of-action; Immuno-oncology models; Metabolic imaging; Immuno-PET; Tumor microenvironment; Therapeutic response biomarkers; Longitudinal tumor monitoring; Translational imaging; Drug development; Radiation response; Immunotherapy; Multiparametric quantitative imaging; Radiochemistry; Tracer development; Pharmacokinetics; Quantitative imaging; IACUC; AAALAC; OLAW; Radiation safety; Anesthesia; Humane endpoints; Biosafety; Xenografts; PDXs; GEMMs; Syngeneic tumor models", "domainList" : [ "cancer-biology", "tumor-progression-models", "therapeutic-mechanism-of-action", "immuno-oncology-models", "metabolic-imaging", "immuno-pet", "tumor-microenvironment", "therapeutic-response-biomarkers", "longitudinal-tumor-monitoring", "translational-imaging", "drug-development", "radiation-response", "immunotherapy", "multiparametric-quantitative-imaging", "radiochemistry", "tracer-development", "pharmacokinetics", "quantitative-imaging", "iacuc", "aaalac", "olaw", "radiation-safety", "anesthesia", "humane-endpoints", "biosafety", "xenografts", "pdxs", "gemms", "syngeneic-tumor-models" ], "domainSpecificKnowledge" : [ "Cancer biology", "Tumor progression models", "Therapeutic mechanism-of-action", "Immuno-oncology models", "Metabolic imaging", "Immuno-PET", "Tumor microenvironment", "Therapeutic response biomarkers", "Longitudinal tumor monitoring", "Translational imaging", "Drug development", "Radiation response", "Immunotherapy", "Multiparametric quantitative imaging", "Radiochemistry", "Tracer development", "Pharmacokinetics", "Quantitative imaging", "IACUC", "AAALAC", "OLAW", "Radiation safety", "Anesthesia", "Humane endpoints", "Biosafety", "Xenografts", "PDXs", "GEMMs", "Syngeneic tumor models" ], "toolProficiency" : [ "Data management systems" ], "communicationSkills" : "Scientific consultation; Grant development; Workshop delivery; Seminar delivery; Outreach activities", "documentationSkills" : "SOPs; QA/QC documentation; Rigor reproducibility documentation; Metadata capture", "continuousLearning" : "Training in advanced modalities; Training in radiotracer handling; Training in QA/QC; Training in analytical methods", "innovationCreativity" : "Drive innovation in cancer-relevant imaging; Forward-looking technology roadmap; Next-generation imaging capabilities", "problemSolvingSkills" : "Quantitative analyses", "specialRequirements" : "Animal-care policies compliance, Radiological safety compliance", "outcomesObjectives" : "Advance cancer discovery; Advance therapeutic evaluation; Advance biomarker development; Strengthen CCSG competitiveness; Support broad access", "qualificationsBasic" : "PhD, DVM, MD, or equivalent, 5–10+ years experience, Expertise in two major modalities, Academic research setting experience, Knowledge of cancer biology, Demonstrated leadership skills, Supervisory skills, Operational management experience, Familiarity with animal-care regulations, Familiarity with radiological safety", "qualificationsPreferred" : "Prior leadership experience, Experience supporting CCSG renewal, Experience supporting SPORE programs, Experience supporting consortia, Background in radiochemistry, Background in tracer development, Background in pharmacokinetics, Background in quantitative imaging", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. The Director of the Small Animal Imaging Shared Resource (SAI-SR) provides scientific, operational, and strategic leadership for all preclinical imaging services supporting the Cancer Center’s basic, translational, and therapeutic development programs. As a CCSG-designated Shared Resource, the SAI-SR enables rigorous, quantitative, and reproducible small-animal imaging studies that advance cancer discovery, therapeutic evaluation, and biomarker development. The Director works closely with Cancer Center leadership, research program leaders, and CCSG administration to ensure alignment with NCI expectations and evolving scientific priorities. As a successful candidate, you will be responsible for: 1. Scientific Strategy & Cancer Center Integration · Shape the scientific vision of the Shared Resource to support the priorities of the Cancer Center’s strategic plan, research programs, and other components. · Collaborate with program leaders (e.g., Hematological Malignancies, Molecular and Cellular Biology of Cancer and Translational Sciences in Solid Tumors) to align imaging services with programmatic needs. · Drive innovation in cancer-relevant imaging, including metabolic imaging, immuno-PET, tumor microenvironment characterization, therapeutic response biomarkers, and longitudinal tumor monitoring. · Contribute to institutional initiatives in translational imaging, drug development, radiation response, immunotherapy, and multiparametric quantitative imaging. · Maintain a forward-looking technology roadmap to ensure timely adoption of next-generation imaging capabilities that strengthen CCSG competitiveness. 2. Shared Resource Governance & CCSG Compliance · Prepare annual and renewal-cycle CCSG reporting, including scientific highlights; usage analytics; user demographics; cancer relevance; publication metrics; and rigor, reproducibility, and quality-control documentation. · Participate in CCSG Shared Resource leadership meetings, internal advisory committees, and external advisory board (EAB) reviews. · Integrate SAI-SR capabilities into institutional initiatives such as pilot awards, team science programs, SPOREs, and multi-center consortia (U01/U54, P01). · Ensure equitable access, transparent prioritization, and adherence to NCI guidelines for Shared Resource management. 3. Operational Leadership · Direct daily operations across all imaging modalities, which may include PET/CT, SPECT/CT, MRI, optical/bioluminescence, ultrasound, photoacoustic, and intravital imaging. · Develop and maintain SOPs, QA/QC processes, and rigor/reproducibility frameworks consistent with CCSG expectations. · Implement harmonized imaging protocols to support longitudinal tumor studies and collaborative multi-site research. · Oversee data management systems for secure archiving, traceability, metadata capture, and reproducible quantitative analyses. · Manage scheduling, staffing, equipment uptime, training, and customer-focused service delivery. 4. Scientific Consultation & Investigator Support · Provide expert guidance on cancer imaging study design, including tumor model selection, imaging biomarker strategies, radiotracer/contrast agent selection, quantitative endpoints, and serial imaging strategies for therapeutic response. · Support investigators in developing imaging components for grants, SPORE applications, and multi-PI team science proposals. · Deliver workshops, seminars, and outreach activities to enhance imaging literacy, rigor, and best practices across the Cancer Center. · Mentor trainees and junior faculty engaged in preclinical cancer imaging. 5. Regulatory Oversight & Animal Welfare · Ensure compliance with IACUC, AAALAC, OLAW, and institutional animal-care policies. · Oversee radiation safety practices in coordination with Radiation Safety and EH&S, including radiotracer handling, hot-lab management, and dosimetry. · Establish standards for anesthesia, monitoring, humane endpoints, and biosafety for xenografts, PDXs, GEMMs, and syngeneic tumor models. 6. Personnel, Training & Team Management · Recruit, supervise, and mentor imaging technologists, research scientists, and technical staff. · Oversee training in advanced cancer imaging modalities, radiotracer handling, QA/QC, and analytical methods. · Foster a collaborative, service-oriented culture aligned with Cancer Center expectations for excellence in Shared Resource operations. 7. Financial Stewardship & Sustainability · Develop and manage Shared Resource budgets in accordance with institutional and NCI guidelines. · Establish cost-recovery recharge rates that meet institutional and CCSG requirements, ensure sustainability, and support broad access. · Partner with Cancer Center administration to pursue instrumentation grants (e.g., S10), CCSG supplements, and philanthropic funding. · Lead business planning for major equipment acquisitions and long-term capital needs. Your qualifications should include: · PhD, DVM, MD, or equivalent in biomedical imaging, cancer biology, radiology, biomedical engineering, or related discipline. · 5–10+ years of experience in small-animal imaging within a cancer-relevant research environment. · Expertise in at least two major imaging modalities (e.g., MRI, PET/CT, SPECT/CT, optical, ultrasound). · Experience in an academic research setting, ideally within a CCSG-funded Cancer Center. · Strong knowledge of cancer biology, tumor progression models, therapeutic mechanism-of-action studies, and immuno-oncology models. · Demonstrated leadership, supervisory skills, and operational management experience. · Familiarity with animal-care regulations and radiological safety requirements. Preferred Qualifications · Prior leadership experience within a Shared Resource or Core Facility. · Experience supporting CCSG renewal efforts, SPORE programs, or multi-center imaging consortia. · Background in radiochemistry, tracer development, pharmacokinetics, or quantitative image analysis. · Publication record in cancer imaging or imaging-guided cancer biology. · Experience with QIN/QIBA principles and quantitative imaging standardization. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Director of Small Animal Imaging at City of Hope. Skills: Small Animal Imaging, Cancer Research, Preclinical Imaging, Imaging Modalities. Provide scientific leadership. 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Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship opportunity is immediately available for the highly motivated individual in the laboratory of Ling Li, Ph.D., in the Department of Hematological Malignancies Translational Science, Department of Pediatrics, and Gehr Family Center for Leukemia Research. You will directly work on the following projects: 1) Development of induced pluripotent stem cell-based human disease models 2) Understanding the role of immunity during tumorigenesis as well as disease relapses in order to design novel inhibitors, CAR-T cell therapy and antibody-based approach to intervene the malignancies 3) Identification of novel therapeutic target using high-throughput CRISPR genetic screen (e.g., metabolic pathway, mitochondria structure) in immune cells The Li group conducts the most forefront science and is highly productive with publications in high-impact journals in the past five years, Nature Cancer (2024, 2026), Blood (2022, 2019, 2019), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious private awards. As a successful candidate you will: · Conduct the research project independently in one of listed research areas · Supervise research intern in the lab · Write the research papers, protocols and organize data for grant application · Excellent communication skills, as the basis of internal or external collaboration Your qualifications should include: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly preferred. Background with pharmacology, cell therapy or antibody engineering is also desired. · Strong experience in induced pluripotent stem cell (iPSC) establishment possesses a deep understanding of the entire reprogramming process, from the sourcing of somatic cells to the final characterization and banking of high-quality, pluripotent lines. This expertise involves mastering numerous technical challenges, staying current with diverse reprogramming methods, and implementing rigorous quality control throughout the workflow. · Literature knowledge of one of the research areas mentioned above. · Evidence of scientific rigor and excellence as documented by peer-reviewed publications, strong trouble shooting skills · Strong team player with excellent communication skills and fluency in English, both spoken and written. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Monrovia", "summaryDescription" : "Postdoctoral Fellow - Hematological Malignancies Translational Science at City of Hope. Skills: Data science, Data engineering, Machine learning, Business intelligence", "createdAt" : "2026-06-14T19:48:34.343", "lastUpdated" : "2026-06-16T02:53:12.160", "ingestTimestamp" : "2026-06-14T19:48:34.343", "mongoId" : "69dde45b2beec4dd3d9a3eb8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 338.11987, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30652af292fd229cfa5b91", "title" : "Claims Expert for AI Research Project", "company" : "Aptura", "industry" : "Finance", "salary" : { "min" : 80.0, "max" : 200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "USA", "locations" : [ "USA" ], "certifications" : [ "AIC", "CPCU", "SCLA" ], "timestamp" : "2026-06-16T11:05:30.082", "fingerprint" : "65dadf114e9a0a9a288ef8169618231230ecdf641141a0365f894939d36cd5a2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/aptura/697ba9fa-1c0c-4b1d-8523-0d362d8bd94e/application", "externalId" : "697ba9fa-1c0c-4b1d-8523-0d362d8bd94e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "majorSkills" : "Insurance claims, Coverage decisions, Reserving, Claim resolution", "majorSkillsList" : [ "Insurance claims", "Coverage decisions", "Reserving", "Claim resolution" ], "coreResponsibilities" : "Design realistic claims tasks, Write evaluation rubrics, Review AI-generated work, Flag where models miss issues, Explain why it matters, Build reference claim files, Build adjudication materials", "domainKnowledge" : "P&C claims; Coverage issues; Claim outcomes", "domainList" : [ "p-c-claims", "coverage-issues", "claim-outcomes" ], "domainSpecificKnowledge" : [ "P&C claims", "Coverage issues", "Claim outcomes" ], "communicationSkills" : "Communicate claim decisions", "qualificationsBasic" : "5–8+ years handling P&C claims", "qualificationsPreferred" : "AIC, CPCU, SCLA, or equivalent", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Aptura Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco. The Opportunity You’ve built deep expertise in insurance claims, investigations, coverage decisions, reserving, or claim resolution, and produced work that drives real decisions. Now that expertise has a new application: shaping how frontier AI models reason through complex insurance problems. What you'll do - Design realistic claims tasks: claim intake, investigations, coverage determinations, reserve-setting decisions, and claim resolution scenarios. - Write evaluation rubrics that reflect how experienced claims professionals reason through coverage, liability, reserves, settlement decisions, and recovery opportunities. - Review AI-generated work and flag where models miss coverage issues, set inadequate reserves, mishandle investigations, or reach unsupported claim outcomes, explaining why it matters. - Build reference claim files and adjudication materials that set the benchmark models are tested. - Communicate claim decisions and rationale clearly in writing. How Engagements Work Fully remote, part-time, and flexible. Work is scoped by project and ranges from short engagements to ongoing collaborations, structured as a contract or a monthly retainer. You May Be A Good Fit If: - 5–8+ years handling P&C claims — as an adjuster, examiner, claims specialist, or claims manager. - You’ve made coverage decisions, set reserves, or handled claim outcomes that had to withstand scrutiny. - AIC, CPCU, SCLA, or equivalent (preferred, not required). - You can explain why a claim resolves the way it does clearly enough to teach the reasoning, not just the outcome. Compensation $80–$200 per hour, aligned with expertise, scope, and impact; exceptional or highly specialised expertise can go higher. Ongoing engagements are typically structured as a monthly retainer rather than on an hourly basis.", "summaryDescription" : "Claims Expert for AI Research Project at Aptura. Skills: Insurance claims, Coverage decisions, Reserving, Claim resolution. Design realistic claims tasks. Write evaluation rubrics", "createdAt" : "2026-06-16T00:23:33.618", "lastUpdated" : "2026-06-16T11:05:30.082", "ingestTimestamp" : "2026-06-16T00:23:33.618", "mongoId" : "6a30652af292fd229cfa5b91", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 166400, "salaryAnnualMax" : 416000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Insurance claims", "Coverage decisions", "Reserving", "Claim resolution", "P&C claims", "Coverage issues", "Claim outcomes", "AIC", "CPCU", "SCLA" ], "skillCount" : 10, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 337.72253, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8c70f0b99d5843fe4b", "title" : "Postdoctoral Scientist, Amazon Robotics", "company" : "Amazon Development Center Germany GmbH", "industry" : "Machine Learning Science, Applied Science, studentprograms", "salary" : { "min" : 60000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Postdoctoral Scientist in Berlin, Germany, adjusted for entry-level seniority and company size in the technology industry." }, "location" : "Berlin, Berlin, DEU", "locations" : [ "Berlin, Berlin, DEU" ], "timestamp" : "2026-06-15T04:42:39.506", "fingerprint" : "d09ea4752f00abea09a6ffae583090af0c5e9ed0c288617cefe387991a037221", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137915/apply", "externalId" : "2b89d3df-b405-415c-83c3-c571a3c8555b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "state" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5033790,13.3386522" } ], "locationText" : "Berlin, Berlin, Germany", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Computer vision, Machine learning", "professionalSkills" : [ "Robotics", "Item perception", "Manipulation" ], "hardSkillsList" : [ "3D scene understanding", "Item identification", "Item placement", "Item removal" ], "hardSkills" : [ { "name" : "3D scene understanding", "level" : "intermediate" }, { "name" : "Item identification", "level" : "intermediate" }, { "name" : "Item placement", "level" : "intermediate" }, { "name" : "Item removal", "level" : "intermediate" } ], "majorSkills" : "Computer vision, Robotics, Manipulation", "majorSkillsList" : [ "Computer vision", "Robotics", "Manipulation" ], "coreResponsibilities" : "Work closely with senior science advisor, Collaborate with scientists, Collaborate with engineers, Publish innovation, Hone presentation skills, Invent cutting-edge techniques", "teamCollaboration" : "Senior science advisor; Scientists; Engineers; Global science community", "domainKnowledge" : "Robotic manipulators; Computer vision; Manipulation challenges; Item perception; Item manipulation; 3D scene understanding; Clutter; State-of-the-art algorithms", "domainList" : [ "robotic-manipulators", "computer-vision", "manipulation-challenges", "item-perception", "item-manipulation", "3d-scene-understanding", "clutter", "state-of-the-art-algorithms" ], "domainSpecificKnowledge" : [ "Robotic manipulators", "Computer vision", "Manipulation challenges", "Item perception", "Item manipulation", "3D scene understanding", "Clutter", "State-of-the-art algorithms" ], "communicationSkills" : "Presentation skills; Oral communication; Written communication", "innovationCreativity" : "Innovate in key areas; Invent cutting-edge techniques", "problemSolvingSkills" : "Solving computer vision challenges; Solving manipulation challenges", "qualificationsBasic" : "PhD in relevant field, Publication record, Experience in item perception, Experience in manipulation, Proficiency in relevant technologies", "qualificationsPreferred" : "Work proactively and independently, Meet deadlines, Deliver on projects, Publications on top-tier conferences, Experience in oral communication, Experience in written communication, Expert knowledge in modeling, Expert knowledge in performance, Expert knowledge in operationalization, Expert knowledge in scalability, Expert knowledge in establishing decision strategies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for talented Postdoctoral Scientists to join our Robotics team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of computer vision and manipulation challenges in Amazon warehouses. The Amazon Robotics team seeks to automate the picking activities in Amazon AR Sortable FCs by retrofitting into existing stations. The team develops robotic manipulators, both the related hardware and software (including machine learning approaches). The team was formed in 2022 and is based in Berlin. Our team focuses on solving computer vision and manipulation challenges in Amazon warehouses. For example, how can robots interact with the fabric pods used to store items. The technical challenges include 3D scene understand for items in clutter, identification of target items in the scene, and placement and/or removal of target items. As the solution space is open ended, the team is looking for postdoc candidates who are excited to apply and advance the state-of-the-art algorithms to this domain. Key job responsibilities Key job responsibilities In this role you will: • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. Basic Qualifications: - PhD in a relevant field, received within 2 years of starting the program - Proven publication record in computer vision, robotics or other related technical fields - Experience in item perception and manipulation - Proficiency in technologies relevant to the subfield Preferred Qualifications: - Can work proactively and independently, meet deadlines, and deliver on projects and tasks - Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS - Experience in oral and written communication - Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Postdoctoral Scientist, Amazon Robotics at Amazon Development Center Germany GmbH. Skills: Computer vision, Robotics, Manipulation. Work closely with senior science advisor. Collaborate with scientists", "postedDate" : "2026-06-13T10:39:04.366", "createdAt" : "2026-06-13T10:39:04.366", "lastUpdated" : "2026-06-15T04:42:39.506", "ingestTimestamp" : "2026-06-13T10:39:04.366", "mongoId" : "693c2b8c70f0b99d5843fe4b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137915/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "3D scene understanding", "Item identification", "Item placement", "Item removal", "Computer vision", "Robotics", "Manipulation", "Item perception", "Robotic manipulators", "Manipulation challenges", "Item manipulation", "Clutter", "State-of-the-art algorithms" ], "skillCount" : 13, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "_score" : 335.81604, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2eb4f774d8ee00a0e80dce", "title" : "Postdoctoral Associate", "company" : "University of Miami", "salary" : { "min" : 724.0, "max" : 724.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Miami, FL", "locations" : [ "Miami, FL", "United States of America" ], "certifications" : [ ], "timestamp" : "2026-06-15T09:43:25.460", "fingerprint" : "6dacb2d4bd121b58cc250968d63d63d7d6a868c9f4cd67574b1b4aa2b97f461e", "source" : "workday", "applyUrl" : "https://umiami.wd1.myworkdayjobs.com/UMCareerStaff/job/Miami-FL/Post-Doctoral-Associate_R100082419", "externalId" : "R100082419", "industryFunction" : { }, "locationPoint" : "-28.07173,153.44158", "structuredLocations" : [ { "city" : "Miami", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Miami, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "AI, machine learning, deep learning, Python, MATLAB, C++, TensorFlow, PyTorch, FEA, CFD", "professionalSkills" : [ "Knowledge of stenting techniques and vascular device development. Experience with coronary artery disease modeling and simulation. Previous experience working in a clinical or medical research setting." ], "hardSkillsList" : [ "Ph.D. in a relevant field required (Computer Science, Biomedical Engineering, or a related field with a background in AI, machine learning, or deep learning)", "Demonstrated experience with CFD and/or FEA, particularly in biomedical applications", "Proficiency in programming languages such as Python, MATLAB, or C++", "Experience with machine learning frameworks (e.g. , TensorFlow, PyTorch)", "Familiarity with medical imaging processing and reconstruction techniques", "Experience with coronary artery disease modeling and simulation", "Previous experience working in a clinical or medical research setting" ], "softSkillsList" : [ "analytical and problem-solving skills, ability to work independently, ability to work collaboratively" ], "hardSkills" : [ { "name" : "Ph.D. in a relevant field required (Computer Science, Biomedical Engineering, or a related field with a background in AI, machine learning, or deep learning)", "level" : "intermediate" }, { "name" : "Demonstrated experience with CFD and/or FEA, particularly in biomedical applications", "level" : "intermediate" }, { "name" : "Proficiency in programming languages such as Python, MATLAB, or C++", "level" : "intermediate" }, { "name" : "Experience with machine learning frameworks (e.g. , TensorFlow, PyTorch)", "level" : "intermediate" }, { "name" : "Familiarity with medical imaging processing and reconstruction techniques", "level" : "intermediate" }, { "name" : "Experience with coronary artery disease modeling and simulation", "level" : "intermediate" }, { "name" : "Previous experience working in a clinical or medical research setting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "analytical and problem-solving skills, ability to work independently, ability to work collaboratively" } ], "majorSkills" : "AI/ML Application in CFD/FEA, 3D Model Generation, In Silico Clinical Trials, Stent Morphometry Analysis, Python", "majorSkillsList" : [ "AI/ML Application in CFD/FEA, 3D Model Generation, In Silico Clinical Trials, Stent Morphometry Analysis, Python" ], "coreResponsibilities" : "Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other cardiovascular structures from imaging data. Contribute to the design and execution of in silico clinical trials, leveraging AI-generated 3D models and simulations to test cardiovascular devices. Generate more comprehensive stent FEA morphometry results by applying AI techniques to existing FEA simulations. Work closely with clinicians, engineers, and other researchers within the group to integrate AI-driven methods into current research frameworks. Handle large datasets, including medical imaging data, and ensure the proper implementation of AI models. Prepare detailed reports, manuscripts for publication, and grant applications to support ongoing research and future funding.", "teamCollaboration" : "Work closely with clinicians, engineers, and other researchers within the group to integrate AI-driven methods into current research frameworks, contributing to publications and conference presentations. Ability to work independently and collaboratively in a multidisciplinary environment.", "toolProficiency" : [ "TensorFlow, PyTorch" ], "communicationSkills" : "Excellent communication skills, both written and oral; proven track record of publications in peer-reviewed journals", "documentationSkills" : "Prepare detailed reports; manuscripts for publication; grant applications", "problemSolvingSkills" : "Ability to recognize, analyze, and solve a variety of problems; analytical and problem-solving skills", "outcomesObjectives" : "Enhance the understanding of stenting techniques and their impact on coronary vessels. Create high-fidelity, simulation-ready models. Validate device performance and predict patient outcomes in a virtual setting. Enable more detailed predictions of stent performance and patient outcomes.", "qualificationsBasic" : "Ph.D. in a relevant field required (Computer Science, Biomedical Engineering, or a related field with a background in AI, machine learning, or deep learning). Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions.", "qualificationsPreferred" : "Demonstrated experience with CFD and/or FEA, particularly in biomedical applications preferred. Proficiency in programming languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g. , TensorFlow, PyTorch) preferred. Familiarity with medical imaging processing and reconstruction techniques preferred.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**_Current Employees:_** If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click [here](https://www.myworkday.com/umiami/d/task/1422$7248.htmld) to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this [tip sheet](https://my.it.miami.edu/wda/erpsec/tipsheets/ER_eRecruiting_ApplyforaJob.pdf). The Center for Digital Cardiovascular Innovations at Miller School of Medicine invites applications for a Postdoctoral Researcher position in AI and machine learning, with a focus on patient-specific reconstruction of coronary vessels and the simulation of stenting techniques using Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD). This is an exciting opportunity to join a leading research group working at the intersection of AI, biomedical engineering, and cardiovascular medicine. **CORE FUNCTIONS** * AI/ML Application in CFD/FEA: Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. The goal is to enhance the understanding of stenting techniques and their impact on coronary vessels. * 3D Model Generation: Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other cardiovascular structures from imaging data, incorporating patient-specific details to create high-fidelity, simulation-ready models. These models will be used to simulate medical procedures and evaluate device performance. * In Silico Clinical Trials: Contribute to the design and execution of in silico clinical trials, leveraging AI-generated 3D models and simulations to test cardiovascular devices (e.g., stents, balloons). Collaborate with regulatory bodies and industry partners to validate device performance and predict patient outcomes in a virtual setting. * Stent Morphometry Analysis: Generate more comprehensive stent FEA morphometry results by applying AI techniques to existing FEA simulations, thereby enabling more detailed predictions of stent performance and patient outcomes. * Research Collaboration: Work closely with clinicians, engineers, and other researchers within the group to integrate AI-driven methods into current research frameworks, contributing to publications and conference presentations. * Data Management: Handle large datasets, including medical imaging data, and ensure the proper implementation of AI models while maintaining the integrity and security of patient information. * Documentation and Reporting: Prepare detailed reports, manuscripts for publication, and grant applications to support ongoing research and future funding. **CORE REQUIREMENTS** * Ph.D. in a relevant field required (Computer Science, Biomedical Engineering, or a related field with a strong background in AI, machine learning, or deep learning). * Demonstrated experience with CFD and/or FEA, particularly in biomedical applications preferred. * Proficiency in programming languages such as Python, MATLAB, or C++, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) preferred. * Familiarity with medical imaging processing and reconstruction techniques preferred. * Experience with coronary artery disease modeling and simulation. * Previous experience working in a clinical or medical research setting. **Knowledge, Skills and Attitudes** * Skill in collecting, organizing, and analyzing data. * Ability to recognize, analyze, and solve a variety of problems. * Ability to exercise sound judgment in making critical decisions. * Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a multidisciplinary environment. * Excellent communication skills, both written and oral, with a proven track record of publications in peer-reviewed journals. * Knowledge of stenting techniques and vascular device development. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. **Job Status:** Full time **Employee Type:** Staff", "summaryDescription" : "Postdoctoral Associate at University of Miami. Skills: AI/ML Application in CFD/FEA, 3D Model Generation, In Silico Clinical Trials, Stent Morphometry Analysis, Python. Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other cardiovascular structures from imaging data. 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Fluent English", "continuousLearning" : "Knowledge sharing", "innovationCreativity" : "Innovative AI-powered software; Medical innovation; Emerging AI-driven practices; Agent-based workflows; Automation patterns; AI-augmented development", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Root cause analysis", "specialRequirements" : "Work permit required", "outcomesObjectives" : "Deliver robust solutions; Deliver accurate solutions; Support clinical workflows; Support medical innovation", "qualificationsBasic" : "Commercial experience in AI, Commercial experience in machine learning, Commercial experience in computer vision, Commercial experience in algorithm development, Python development skills, Experience building production-grade software, Hands-on experience with deep learning frameworks, Hands-on experience with model development, Understanding of computational geometry concepts, Practical implementation of computational geometry, Experience working with medical imaging technologies, Experience working with healthcare datasets, Practical experience processing medical imaging, Practical experience analyzing medical imaging, Experience with 3D data processing, Experience with segmentation, Experience with reconstruction, Experience with mesh handling, Experience optimizing algorithms, Experience validating algorithms, Analytical skills, Problem-solving skills, Ability to work within multidisciplinary teams, Ability to work within international teams, Experience working within Agile software development, Attention to quality, Attention to reliability, Attention to scientific rigor, Work from the European Union region, Work permit required", "qualificationsPreferred" : "Experience with TypeScript development, Exposure to AWS cloud services, Exposure to cloud-native development practices, Experience working within regulated healthcare, Experience working within medical device environments, Familiarity with medical device development standards, Familiarity with healthcare regulatory requirements, Experience working with major medical imaging vendors, Experience working with healthcare technology vendors, Experience working with medical device vendors, Fluent English communication skills, German language skills", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About project: We are looking for a Senior AI Algorithm Developer to join a project delivered for our international client operating in the medical technology and healthcare domain. The client is focused on developing advanced cardiac imaging solutions that support clinical decision-making through innovative AI-powered software and medical imaging technologies. This role is a great opportunity to work on cutting-edge medical imaging platforms, contributing to the development of AI algorithms used in cardiac analysis, visualization, and measurement workflows. You will be involved in the design, implementation, optimization, and validation of advanced algorithms supporting 3D image processing, deep learning, and computational modeling in a highly specialized healthcare environment. The project combines artificial intelligence, medical imaging, computational geometry, and software engineering within a multidisciplinary team consisting of product specialists, engineers, clinical experts, and regulatory stakeholders. You will play a key role in delivering robust and accurate solutions that support critical clinical workflows and medical innovation. You will be: developing AI algorithms for advanced cardiac medical imaging platforms, build, maintain, and optimize 3D segmentation, modeling, and measurement pipelines, design, train, validate, and improve deep learning models for medical imaging applications, work with complex medical imaging datasets, including CT, MRI, and echocardiography data, develop and optimize computational geometry algorithms for 3D anatomical modeling and analysis, process, analyze, and manipulate 3D meshes and volumetric imaging data, collaborate closely with product managers, software engineers, clinical experts, and regulatory teams, improve algorithm robustness, accuracy, scalability, and performance across different clinical scenarios, contribute to validation activities and support the preparation of evidence required for clinical and regulatory processes, participate in technical discussions related to AI, computer vision, image analysis, and medical software development, support continuous improvement of engineering standards, development practices, and quality processes, depending on seniority, take ownership of technical areas, drive technical decisions, and mentor less experienced team members, Your profile: strong commercial experience in AI, machine learning, computer vision, or algorithm development roles, strong Python development skills with experience building production-grade software solutions, hands-on experience with deep learning frameworks and model development, strong understanding of computational geometry concepts and practical implementations, experience working with medical imaging technologies and healthcare datasets, practical experience processing and analyzing CT, MRI, echocardiography, or similar medical imaging modalities, strong experience with 3D data processing, segmentation, reconstruction, and mesh handling, experience optimizing and validating algorithms for accuracy, robustness, and performance, hands-on experience with PyTorch, NumPy, SciPy, VTK, or similar scientific computing and visualization libraries, strong analytical and problem-solving skills, ability to work effectively within multidisciplinary and international teams, excellent communication skills and ability to collaborate with both technical and non-technical stakeholders, experience working within Agile software development environments, strong attention to quality, reliability, and scientific rigor, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: experience with TypeScript development, exposure to AWS cloud services and cloud-native development practices, experience working within regulated healthcare or medical device environments, familiarity with medical device development standards and healthcare regulatory requirements, experience working with major medical imaging, healthcare technology, or medical device vendors, fluent English communication skills, both written and spoken, German language skills are considered an advantage, Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Senior AI Algorithm Developer at Xebia. Skills: AI Algorithm Development, Medical Imaging, Deep Learning, 3D Image Processing. Develop AI algorithms. Build segmentation pipelines", "postedDate" : "2026-06-14T20:05:27.429", "createdAt" : "2026-06-14T20:05:27.429", "lastUpdated" : "2026-06-15T22:41:50.516", "ingestTimestamp" : "2026-06-14T20:05:27.429", "mongoId" : "6a2c92ed74d8ee00a0986dfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Python development", "Computational geometry implementation", "Medical imaging processing", "3D data processing", "Segmentation", "Reconstruction", "Mesh handling", "Algorithm optimization", "Algorithm validation", "Scientific computing", "Visualization libraries", "AI Algorithm Development", "Medical Imaging", "Deep Learning", "3D Image Processing", "Software solutions", "Model development", "Image processing", "Computational modeling", "Software engineering", "Medical imaging", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", "Medical innovation", "Engineering standards", "Development practices", "Quality processes", "Technical decisions", "SDLC", "Agile software development", "Medical technology", "Healthcare domain", "Cardiac imaging", "Clinical decision-making", "AI-powered software", "Medical imaging technologies", "3D image processing", "Deep learning", "Healthcare environment", "Artificial intelligence", "Computational geometry", "Medical device development", "Healthcare regulatory requirements", "Medical imaging modalities", "GenAI in SDLC", "PyTorch", "NumPy", "SciPy", "VTK", "Claude Code", "GitHub Copilot", "Cursor" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 334.01517, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a19361f58b93c861e40b66f", "title" : "Postdoctoral Appointee", "company" : "Argonne National Laboratory", "industry" : "X-ray Science", "salary" : { "min" : 72879.0, "max" : 121465.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Lemont, IL USA", "locations" : [ "Lemont, IL USA", "United States of America" ], "timestamp" : "2026-05-29T10:29:23.797", "fingerprint" : "c8d898a2eae00cba01133423a78b54edf220fdff5cc6dc98d704b9d76238b713", "source" : "workday", "language" : "en", "applyUrl" : "https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Postdoctoral-Appointee---Bioimaging_422720", "externalId" : "422720", "industryFunction" : { }, "locationPoint" : "41.67364,-88.00173", "structuredLocations" : [ { "city" : "Lemont", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Lemont, Illinois, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Ph. D.", "technicalSkills" : "Python, X-ray fluorescence tomography", "professionalSkills" : [ "Multimodal data analysis" ], "softSkillsList" : [ "Teamwork" ], "softSkills" : [ { "name" : "Teamwork" } ], "majorSkills" : "Instrumentation development, Data acquisition, Data processing, Data analysis", "majorSkillsList" : [ "Instrumentation development", "Data acquisition", "Data processing", "Data analysis" ], "coreResponsibilities" : "Develop novel multiscale multimodal experimental apparatus, Precise control during data acquisition, Work on data processing pipeline, Adaptable to imaging energy-conversion or biological systems, Lead effort in multimodal data analysis", "teamCollaboration" : "Work in a multidisciplinary team, including physicists, biologists, and engineers", "domainKnowledge" : "Bioimaging; Soil aggregates; Energy-conversion systems; Biological systems", "domainList" : [ "bioimaging", "soil-aggregates", "energy-conversion-systems", "biological-systems" ], "domainSpecificKnowledge" : [ "Bioimaging", "Soil aggregates", "Energy-conversion systems", "Biological systems" ], "communicationSkills" : "Excellent oral and written communication skills", "innovationCreativity" : "Pioneering efforts in developing cutting edge X-ray instrumentation and techniques", "problemSolvingSkills" : "Demonstrated analytical and problem-solving skills", "specialRequirements" : "Subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, Background check, Obtain a government access authorization", "qualificationsBasic" : "Ph. D. completed in the past 5 years or soon-to-be completed in physics, chemistry, materials science, engineering, or a related discipline, Ability to conduct independent research such as designing experiments and addressing fundamental and/or applied scientific questions, Good collaboration skills, Demonstrated analytical and problem-solving skills, Excellent oral and written communication skills, Experience with automation, control, and instrument infrastructure, Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork", "qualificationsPreferred" : "Experience in studying geological or biological systems, Tomography experience, Programming expertise in Python or other scientific programming languages", "remoteFriendly" : false, "rawDescription" : "The Microscopy group in X-ray Science Division of Advanced Photon Source (APS) at Argonne National Laboratory lead pioneering efforts in developing cutting edge X-ray instrumentation and techniques, enabling multimodal in-situ investigation in areas of physics, chemistry, life and material sciences. We are seeking to fill a Postdoctoral Appointee position to support instrumentation development for X-ray fluorescence tomography at beamline 2-ID-E and 2-ID-D with focus on bioimaging of soil aggregates, as well as computational framework for modeling and reconstruction of related 3D datasets. The successful candidate will develop a novel multiscale multimodal experimental apparatus with precise control during data acquisition, as well as work on data processing pipeline, adaptable to imaging of energy-conversion or biological systems. The candidate will work in a multidisciplinary team, including physicists, biologists, and engineers, and will lead the effort in multimodal data analysis at the APS beamlines. May be required to perform other duties as assigned. **Position Requirements** * Ph.D. completed in the past 5 years or soon-to-be completed in physics, chemistry, materials science, engineering, or a related discipline. * The ability to conduct independent research such as designing experiments and addressing fundamental and/or applied scientific questions. * Good collaboration skills and be able to work in a team environment. * Demonstrated strong analytical and problem-solving skills. * Experience in studying geological or biological systems, and tomography are beneficial. * Programming expertise in Python or other scientific programming languages is a plus. * Excellent oral and written communication skills. * Experience with automation, control, and instrument infrastructure. * Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time ### The expected hiring range for this position is $72,879.00-$121,465.00. ### Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click [_here_](https://www.anl.gov/hr/healthcare-insurance) to view Argonne employee benefits! ### _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne 's Legal Department. _ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._", "summaryDescription" : "Postdoctoral Appointee at Argonne National Laboratory. Skills: Instrumentation development, Data acquisition, Data processing, Data analysis. Develop novel multiscale multimodal experimental apparatus. Precise control during data acquisition", "postedDate" : "2026-05-05T10:16:06.101", "createdAt" : "2026-05-29T10:16:06.090", "lastUpdated" : "2026-05-29T10:29:23.797", "ingestTimestamp" : "2026-05-29T10:16:06.090", "mongoId" : "6a19361f58b93c861e40b66f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Postdoctoral-Appointee---Bioimaging_422720", "salaryAnnualMin" : 72879, "salaryAnnualMax" : 121465, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Teamwork", "Instrumentation development", "Data acquisition", "Data processing", "Data analysis", "Multimodal data analysis", "Bioimaging", "Soil aggregates", "Energy-conversion systems", "Biological systems" ], "skillCount" : 10, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 332.42188, "daysOld" : 24, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "X-ray Science" }, { "id" : "69dde45c2beec4dd3d9a3f51", "title" : "Postdoctoral Fellow - Blood Cancer Research", "company" : "City of Hope", "industry" : "Biotech", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Postdoctoral Fellow in Duarte, CA, adjusted for entry-level seniority in the Biotech industry." }, "location" : "United States-California-Duarte", "locations" : [ "United States-California-Duarte", "Post-doctoral Research" ], "timestamp" : "2026-06-15T13:23:43.265", "fingerprint" : "a3e29c29ab6ab1f27197f0853eb144a2ccf658e2edcf707a8fb38f9da2ecd3a1", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa067.taleo.net/careersection/ex/jobdetail.ftl?job=232745", "externalId" : "232745", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Duarte", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1394513,-117.9772873" } ], "locationText" : "Duarte, California, United States", "minimumEducation" : "PhD", "technicalSkills" : "Multi-omic technologies, Genomic engineering, High-dimensional datasets", "professionalSkills" : [ "Research projects" ], "hardSkillsList" : [ "Single-cell multi-omic analysis", "Genomic engineering analysis" ], "hardSkills" : [ { "name" : "Single-cell multi-omic analysis", "level" : "intermediate" }, { "name" : "Genomic engineering analysis", "level" : "intermediate" } ], "majorSkills" : "Blood cancer research, Computational biology, Multi-omic analysis", "majorSkillsList" : [ "Blood cancer research", "Computational biology", "Multi-omic analysis" ], "coreResponsibilities" : "Lead laboratory-based research projects, Lead computational research projects, Develop multidisciplinary skills, Apply single-cell multi-omic technologies, Apply genomic engineering technologies, Analyze high-dimensional datasets, Identify new biomarkers, Develop new therapeutic targets", "teamCollaboration" : "Highly collaborative environment", "domainKnowledge" : "Tumor biology; Immune biology; Blood cancer; Multiple Myeloma; Lymphoma; Cell therapy; Monoclonal antibodies", "domainList" : [ "tumor-biology", "immune-biology", "blood-cancer", "multiple-myeloma", "lymphoma", "cell-therapy", "monoclonal-antibodies" ], "domainSpecificKnowledge" : [ "Tumor biology", "Immune biology", "Blood cancer", "Multiple Myeloma", "Lymphoma", "Cell therapy", "Monoclonal antibodies" ], "communicationSkills" : "Oral communication; Written communication", "innovationCreativity" : "Innovation; Creativity", "qualificationsBasic" : "Ph.D. degree in life or biomedical sciences, MD degree with comparable research experience, Considerable experience in molecular/cellular biology, Considerable experience in computational biology, Excellent oral communication skills, Excellent written communication skills", "remoteFriendly" : false, "rawDescription" : "Thank you for your interest. Please note, the purpose of this posting is to recruit for on-going and future positions. Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Postdoctoral Fellowship position is available in the RSP Lab l ed by Dr. Sklavenitis Pistofidis. The RSP Lab ( https://rsplab.org ) leverages advanced multi-omic technologies, coupled with experimental perturbations and computational approaches, to decode tumor and immune biology and usher in a new era of biologically informed clinical care for patients with blood cancer, such as Multiple Myeloma. Our laboratory is part of the Judy & Bernard Briskin Center for Multiple Myeloma Research. We collaborate closely with clinicians who treat patients and run clinical trials at the City of Hope National Medical Center in Duarte, as well as other City of Hope centers in Orange County, Chicago, Phoenix, and Atlanta, reinforcing our translational focus and ensuring access to primary samples from a diverse, nation-wide pool of patients. Our high-throughput science is enabled by state-of-the-art facilities for next-generation sequencing and high-performance computing through the Translational Genomics Research Institute (TGen) at City of Hope. To accelerate the development of new therapies, we leverage City of Hope’s unique in-house GMP manufacturing capabilities for cell therapy (CAR-T cells, stem cells, etc.), monoclonal antibodies, and small molecule generation, in line with our vested interest in commercializing our discoveries so that they can reach patients. As a successful candidate, you will: · Lead laboratory-based and computational research projects focusing on multiple myeloma and lymphoma. · Have the opportunity to develop multidisciplinary skills in experimental and computational biology to study blood cancer and the immune system and develop new therapies. · Get to apply advanced single-cell multi-omic and genomic engineering technologies on patient samples or cell lines and analyze high-dimensional datasets to identify new biomarkers of response & resistance to therapy and develop new therapeutic targets. · Conduct your research in a highly collaborative, supportive environment that values innovation, creativity, and quality. Your qualifications should include: · A Ph.D. degree in life or biomedical sciences, bioinformatics, or a related discipline, or an MD degree with comparable research experience. · Considerable experience in molecular/cellular biology and/or computational biology. · Excellent oral and written communication skills. · Ability to meet deadlines, manage their time, and multi-task. · Ability to collaborate, mentor, and work within multi-disciplinary teams of people with varied levels of experience. City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE . United States-California-Duarte", "summaryDescription" : "Postdoctoral Fellow - Blood Cancer Research at City of Hope. Skills: Blood cancer research, Computational biology, Multi-omic analysis. Lead laboratory-based research projects. Lead computational research projects", "createdAt" : "2026-06-14T06:09:26.984", "lastUpdated" : "2026-06-15T13:23:43.265", "ingestTimestamp" : "2026-06-14T06:09:26.984", "mongoId" : "69dde45c2beec4dd3d9a3f51", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Single-cell multi-omic analysis", "Genomic engineering analysis", "Blood cancer research", "Computational biology", "Multi-omic analysis", "Research projects", "Tumor biology", "Immune biology", "Blood cancer", "Multiple Myeloma", "Lymphoma", "Cell therapy", "Monoclonal antibodies" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.6666667, "_score" : 329.78763, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb04a74d8ee00a09d9884", "title" : "Senior Manager, Imaging Machine Learning", "company" : "insitro", "industry" : "Data Science and Machine Learning", "salary" : { "min" : 225000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Manager, Imaging Machine Learning in South San Francisco, United States, adjusted for biotech industry and company size." }, "location" : "South San Francisco, CA", "locations" : [ "South San Francisco, CA" ], "timestamp" : "2026-06-15T21:20:36.257", "fingerprint" : "76499c2aebd081a50347a9925f22fa2cb2013e84d5fc58251e3fe1011dc1f60f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/insitro/9a5c5622-2da9-42d5-88ef-b4a39d1c044f/application", "externalId" : "9a5c5622-2da9-42d5-88ef-b4a39d1c044f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, Deep learning, Machine learning, ML infrastructure, Cloud platforms, Data engineering, PyTorch, AWS, GCP, Azure, Imaging data", "hardSkillsList" : [ "Machine learning", "Deep learning", "Data engineering", "ML infrastructure" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML infrastructure", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Deep learning, Imaging data", "majorSkillsList" : [ "Machine learning", "Deep learning", "Imaging data" ], "coreResponsibilities" : "Lead and mentor a team of ML engineers, Develop and deploy machine learning models, Build and maintain ML infrastructure, Collaborate with research scientists, Drive innovation in ML applications", "teamCollaboration" : "Research scientists; ML engineers", "domainKnowledge" : "Imaging data; Machine learning", "domainList" : [ "imaging-data", "machine-learning" ], "domainSpecificKnowledge" : [ "Imaging data", "Machine learning" ], "toolProficiency" : [ "PyTorch", "AWS", "GCP", "Azure" ], "innovationCreativity" : "Drive innovation", "qualificationsBasic" : "5+ years of experience in machine learning, Experience with Python, Experience with deep learning frameworks, Experience with ML infrastructure, Experience with cloud platforms, Experience with data engineering", "qualificationsPreferred" : "PhD in a quantitative field, Experience with imaging data, Experience with PyTorch, Experience with AWS, Experience with GCP, Experience with Azure", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "THE OPPORTUNITY insitro's mission is to bring better drugs faster to patients who can benefit most, through machine learning and data at scale. Our discovery strategy integrates insights from multiple phenotypic readouts across diverse high-content data modalities, including data from public and proprietary human cohorts and in vitro cellular systems generated by our proprietary, automated wet-lab platforms. In this role, you will lead and grow a team of exceptional machine learning researchers responsible for co-developing methods for extracting information from in-vitro biology using computer vision and machine learning. You will lead an established team of 5 machine learning scientists, several at the Staff level, and be expected to grow it over time. Your team will partner closely with laboratory scientists to develop biological assays in a tight loop, iterating sample preparation protocols and feature extraction methods in tandem. As the manager of this team, you will be responsible for structuring these collaborations in ways that ensure the success of all teams, and your individual team members, as measured by our ability to drive insitro's therapeutic programs forward through understanding of causal human biology. In addition to working closely with the lab, you and your team will partner closely with our imaging software team, responsible for co-developing and scaling methods your team develops, and computational biologists who will subsequently leverage these tools to extract program-level insights in conjunction with omics (perturb-seq) and clinical insights. As the leader of a team of researchers within the AI/ML organization, you will be expected to remain abreast of the evolving field of in-vitro screening. You will report to the Director of Imaging, Cellular Machine Learning. This is a hybrid position that requires you to be in our South San Francisco headquarters at least three days per week. Join us, and help make a difference to patients! RESPONSIBILITIES - Lead, mentor, and grow a team of outstanding machine learning scientists to co-develop methods of extracting insights from in-vitro microscopy datasets - Work closely with laboratory leadership to structure assay development efforts, and empower members of your team to co-develop in-vitro microscopy assays suitable for genetic perturbation screening, often at whole-genome scale - Ensure the successful translation of assays you develop to insitro’s computational biology team, who will leverage the assays your teams develop to investigate causal biology through the integration of diverse data modalities, including microscopy - Co-develop the product vision for insitro’s industry-leading imaging software platform, and continue to support its development through method de-risking and translational development through adherence to established processes for contribution - Develop methods of measuring and qualifying microscopy data prior to model training and inference, including those which leverage agentic frameworks, VLMs, and self-supervised classification - Stay abreast of industrial trends and scientific literature in order to ensure insitro’s methods remain industry-leading and correctly matched to our applications. - Set yearly and quarterly strategic roadmaps for platform, set tactical goals for your team, and align with cross-functional stakeholders on a regular basis - Work shoulder-to-shoulder with your team where appropriate, participating in method/code review and authorship to model effective execution and cover gaps ABOUT YOU - Strong grounding in computer vision and machine learning fundamentals, with practical judgment about where these methods work and where they fail - Demonstrated experience applying CV/ML to pixel data to extract quantitative features and downstream biological insight - Working understanding of imaging principles — image formation, microscopy fundamentals, and the artifacts that arise from instruments and sample preparation - Hands-on experience with cellular imaging datasets (e.g. fluorescence/confocal or label-free microscopy) - 3+ years of people management, including solid-line management of multiple ICs and at least one senior (Staff-level) scientist or engineer - Track record of mentoring and growing technical talent day-to-day - Technical leadership as a decision-maker on projects, platforms, or teams - Strong communication and the ability to collaborate across functions, including with experimental and clinical life scientists NICE TO HAVE - Experience across additional high-content modalities: temporal phenotyping, spatial proteomics, single-cell or bulk omics, or pooled optical (in-situ) screening - Familiarity with genetic perturbation screening, ideally at genome scale - Experience with data-quality methods for imaging — agentic frameworks, VLMs, or self-supervised approaches for QC and classification - Conversational understanding of a relevant disease area (neuroscience, metabolic disease, or cancer biology) - Experience contributing to or shaping an imaging/CV software platform COMPENSATION & BENEFITS AT INSITRO Our target starting salary for successful US-based applicants for this role is $247,000 - $262,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data. This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies. In addition, insitro also provides our employees: - 401(k) plan with employer matching for contributions - Excellent medical, dental, and vision coverage as well as mental health and well-being support - Open, flexible vacation policy - Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc) - Quarterly budget for books and online courses for self-development - Support to attend professional conferences that are meaningful to your career growth and role's responsibilities - New hire stipend for home office setup - Monthly cell phone & internet stipend - Access to free onsite baristas and daily lunch for employees who are either onsite or hybrid - Access to a free commuter bus network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area insitro is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We believe diversity, equity, and inclusion need to be at the foundation of our culture. We work hard to bring together diverse teams–grounded in a wide range of expertise and life experiences–and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices. All candidates can expect equitable treatment, respect, and fairness throughout the interview process. Please be aware of recruitment scams: we never request payments, all recruitment communications are from @insitro.com http://insitro.com, and if in doubt, contact us at info@insitro.com. #LI-Hybrid About insitro insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. At the core of insitro’s approach is the convergence of in-house generated multi-modal cellular data and high-content phenotypic human cohort data. We rely on these data to develop ML-driven, predictive disease models that uncover underlying biologic state and elucidate critical drivers of disease. These powerful models rely on extensive biological and computational infrastructure and allow insitro to advance novel targets and patient biomarkers, design therapeutics and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of insights and therapeutics in neuroscience and metabolism. Since launching in 2018, insitro has raised over $700 million from top tech, biotech and crossover investors, and from collaborations with pharmaceutical partners. For more information on insitro, please visit www.insitro.com http://www.insitro.com.", "summaryDescription" : "Senior Manager, Imaging Machine Learning at insitro. Skills: Machine learning, Deep learning, Imaging data. Lead and mentor a team of ML engineers. 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Але досить про нас, розказуємо про роль Image Quality Engineer. Це позиція в R&D-команді, яка розробляє та виробляє техніку й електронні рішення, що працюють на реальному полі бою, а не з", "summaryDescription" : "Image Quality Engineer at Everstar. Develop and produce equipment. Develop electronic solutions", "createdAt" : "2026-06-14T20:28:31.916", "lastUpdated" : "2026-06-16T02:47:26.516", "ingestTimestamp" : "2026-06-14T20:28:31.916", "mongoId" : "6a2ccd1574d8ee00a0a28dec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "MilTech" ], "skillCount" : 1, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 326.75507, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a2c712274d8ee00a092d7e4", "title" : "Postdoctoral Researcher", "company" : "University Health Network", "industry" : "Hospital And Health Care", "salary" : { "min" : 54902.0, "max" : 93333.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, ON, Canada", "locations" : [ "Toronto", "ON", "Canada" ], "timestamp" : "2026-06-15T04:46:31.400", "fingerprint" : "047e55ccc2a467c6c4c7ae7ba6181cad3330753e7d50cb8a48e1e0cf38449c88", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UniversityHealthNetwork/744000131739554-postdoctoral-researcher", "externalId" : "744000131739554", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "CONTRACT", "experienceLevel" : "not-applicable", "technicalSkills" : "Genome editing, CRISPR, RNA-based modulation, T cell engineering, MRNA-based delivery", "professionalSkills" : [ "Research platform development", "Grant writing", "Scientific development" ], "hardSkillsList" : [ "Immune cell biology", "Flow cytometry", "Functional immune assays", "Organoid models", "Ex vivo approaches" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Immune cell biology", "level" : "intermediate" }, { "name" : "Flow cytometry", "level" : "intermediate" }, { "name" : "Functional immune assays", "level" : "intermediate" }, { "name" : "Organoid models", "level" : "intermediate" }, { "name" : "Ex vivo approaches", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Immune engineering, Cell therapies, Genome editing, RNA modulation", "majorSkillsList" : [ "Immune engineering", "Cell therapies", "Genome editing", "RNA modulation" ], "coreResponsibilities" : "Design independent research projects, Execute independent research projects, Interpret independent research projects, Establish experimental platforms, Advance experimental platforms, Develop functional assays, Perform functional assays, Apply human model systems, Contribute to scientific development, Supervise junior trainees, Support junior trainees, Prepare manuscripts for publication, Contribute to grant writing, Work in close interaction with programs", "teamCollaboration" : "Collaborative, interdisciplinary environment; Clinical programs; Translational programs", "domainKnowledge" : "Programmable immune engineering; Transplantation; Cancer; Infection; Immune function; Clinical stress conditions; Inflammation; Immunosuppression; Chronic antigen exposure; Immune resilience; Cell therapies; Biomanufacturing workflows; Regulatory T cell engineering; Pharmacologic constraint", "domainList" : [ "programmable-immune-engineering", "transplantation", "cancer", "infection", "immune-function", "clinical-stress-conditions", "inflammation", "immunosuppression", "chronic-antigen-exposure", "immune-resilience", "cell-therapies", "biomanufacturing-workflows", "regulatory-t-cell-engineering", "pharmacologic-constraint" ], "domainSpecificKnowledge" : [ "Programmable immune engineering", "Transplantation", "Cancer", "Infection", "Immune function", "Clinical stress conditions", "Inflammation", "Immunosuppression", "Chronic antigen exposure", "Immune resilience", "Cell therapies", "Biomanufacturing workflows", "Regulatory T cell engineering", "Pharmacologic constraint" ], "toolProficiency" : [ "CRISPR", "Flow cytometry" ], "communicationSkills" : "Written communication; Verbal communication", "qualificationsBasic" : "PhD in immunology, Molecular biology, Bioengineering, Related discipline, Experimental background in immune cell biology, Human T cell systems, Design, execute, and interpret experiments independently, Demonstrated scientific productivity, Peer-reviewed publications", "qualificationsPreferred" : "Experience in genome editing, RNA-based approaches, Gene delivery technologies, Advanced cell culture systems, Familiarity with flow cytometry, Spectral flow, Functional immune assays, Interest in translational research, Clinically relevant model systems, Prior experience mentoring students, Junior trainees is an asset", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. [www.uhn.ca](https://www.uhn.ca/) Union: Non-Union Number of Vacancies: 1 New or Replacement: New Site: PMCRT / Princess Margaret Cancer Research Tower - 101 College St, Toronto, ON M5G 1L7 Department: Ajmera Transplant Centre Research Institute (ATC-RI) Reports to: Dr. Michael Henneresse Hours: 37.5 Salary: CAD 54,902 – CAD 93,333 per year, commensurate with experience and level of appointment (PDR I–III) Shifts: Monday - Friday Status: Temporary Full-Time Closing Date: June 30, 2026 Position Summary: The successful candidate will join a research program in programmable immune engineering at UHN, based at the ATC-RI and affiliated with the University of Toronto. The lab focuses on designing engineered human immune cells that maintain stable and regulated function in complex clinical environments, with a particular emphasis on transplantation alongside applications in cancer and infection. The research program integrates CRISPR-based genome engineering, RNA-based modulation, and advanced human tissue and organoid models to define generalizable design principles for immune function under clinical stress conditions such as inflammation, immunosuppression, and chronic antigen exposure. A central goal is to establish programmable immune resilience as a design parameter for clinically deployable cell therapies. Experimental approaches include genetic engineering of human T cells, development of non-viral and mRNA-based delivery strategies, and functional validation in physiologically relevant human model systems, closely aligned with translational and biomanufacturing workflows at UHN. Example application areas include regulatory T cell engineering for stability under inflammatory and pharmacologic constraint. The Postdoctoral Researcher will play a key role in building and shaping this research platform and will have the opportunity to develop independent research directions within a highly interdisciplinary and translational environment. Duties: * Design, execute, and interpret independent research projects in immune engineering * Establish and advance experimental platforms for human T cell engineering, including genome editing and RNA-based approaches * Develop and perform functional assays to assess immune cell activity, stability, and phenotype * Apply human model systems, including organoid and ex vivo approaches, in clinically relevant contexts * Contribute to the scientific development of the lab * Supervise and support junior trainees as the group grows * Prepare manuscripts for publication and contribute to grant writing * Work in close interaction with clinical and translational programs at UHN ## Qualifications * PhD in immunology, molecular biology, bioengineering, or a related discipline * Strong experimental background in immune cell biology, ideally with experience in human T cell systems * Demonstrated ability to design, execute, and interpret experiments independently * Demonstrated scientific productivity, including peer-reviewed publications * Experience in one or more of the following areas is highly desirable: genome editing (e.g., CRISPR), RNA-based approaches, gene delivery technologies, or advanced cell culture systems * Familiarity with flow cytometry (including spectral flow) and functional immune assays * Interest in translational research and clinically relevant model systems * Excellent written and verbal communication skills * Ability to work independently and in a collaborative, interdisciplinary environment * Prior experience mentoring students or junior trainees is an asset ## Additional Information Why join UHN? In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. * Competitive offer packages * Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP ) * Close access to Transit and UHN shuttle service * A flexible work environment * Opportunities for development and promotions within a large organization * Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration. All applications must be submitted before the posting close date. UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application. UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known. We thank all applicants for their interest, however, only those selected for further consideration will be contacted.", "summaryDescription" : "Postdoctoral Researcher at University Health Network. Skills: Immune engineering, Cell therapies, Genome editing, RNA modulation. Design independent research projects. 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Work with companies; Collaborative scientific discovery", "projectManagementSkills" : [ "Meeting project deliverables", "Meeting project milestones" ], "domainKnowledge" : "Lithium-ion battery; Critical materials supply chains", "domainList" : [ "lithium-ion-battery", "critical-materials-supply-chains" ], "domainSpecificKnowledge" : [ "Lithium-ion battery", "Critical materials supply chains" ], "communicationSkills" : "Skilled oral communication; Skilled written communication", "continuousLearning" : "Willingness to learn new techniques; Willingness to learn new approaches", "innovationCreativity" : "Innovative approaches to solve challenges; Creative approaches towards scientific problem solving", "problemSolvingSkills" : "Solve challenges; Scientific problem solving", "specialRequirements" : "On-site presence at Argonne campus, Work with large volumes of hazardous chemicals, Background check, Obtain government access authorization", "qualificationsBasic" : "PhD in Chemistry, Chemical Engineering or Materials Science, Skilled oral and written communication skills, Proven track record showing the ability to carry out independent and collaborative research, Highly self-motivated candidate, Skilled in installing, modifying, and maintaining equipment, Willingness to enforce and abide by safety rules, Ability to work with large volumes of hazardous chemicals, Flexibility to change projects and work on a variety of projects simultaneously, Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork", "qualificationsPreferred" : "mechanical separations, materials characterization including tomography, coin cell fabrication and testing, running reactors, leaching, precipitation, recycling, mineral processing, liquid-liquid separations", "remoteFriendly" : false, "rawDescription" : "The Separations and Bioprocessing group in the Applied Materials Division (AMD) at Argonne National Laboratory has an opening for a postdoctoral appointee. This position will involve developing and scaling cost-effective methods for separating and converting materials using mechanical and hydrometallurgical techniques. The researcher may also work with companies to research and validate unique lithium-ion battery recycling processes. This will require innovative approaches to solve challenges that go beyond the use of pilot scale or commercialized equipment. As such we are seeking candidates that have demonstrated the ability to design and build their own experimental apparatus to solve challenges. The position will require flexibility and a willingness to learn new techniques and approaches. The postdoctoral appointee will have the opportunity to work on projects that focus on improving Li-ion battery, critical materials supply chains, and other concepts. **Position Requirements** * Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years)in Chemistry, Chemical Engineering or Materials Science (those with other degrees but have similar skills to those listed will be considered). * Skilled oral and written communication skills. * Proven track record showing the ability to carry out independent and collaborative research in a multidisciplinary team while meeting project deliverables and milestones. * Highly self-motivated candidate who demonstrates creative and proactive approaches towards scientific problem solving as evidenced by publications and recommendations. * Skilled in installing, modifying, and maintaining equipment. * Willingness to enforce and abide by safety rules. * Ability to work with large volumes of hazardous chemicals. * Flexibility to change projects and work on a variety of projects simultaneously. * Knowledge in the following areas and techniques is desirable mechanical separations, materials characterization including tomography, coin cell fabrication and testing, running reactors, leaching, precipitation, recycling, mineral processing and liquid-liquid separations. * Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. * This position requires an on-site presence at the Argonne campus in Lemont, Illinois, five days per week. **Job Family** Postdoctoral **Job Profile** Postdoctoral Appointee **Worker Type** Long-Term (Fixed Term) **Time Type** Full time ### The expected hiring range for this position is $72,879.00-$121,465.00. ### Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package. Click [_here_](https://www.anl.gov/hr/healthcare-insurance) to view Argonne employee benefits! ### _As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne 's Legal Department. _ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._", "summaryDescription" : "Postdoctoral Appointee - Researcher at Argonne National Laboratory. Skills: Mechanical separations, Hydrometallurgical techniques, Lithium-ion battery recycling. Develop cost-effective methods for separating materials. 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"Critical materials supply chains", "Meeting project deliverables", "Meeting project milestones", "Lithium-ion battery" ], "skillCount" : 20, "jobCategory" : "other", "seniorityLevel" : "executive", "dataQualityScore" : 1.0, "_score" : 325.29037, "daysOld" : 10, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Materials Science" }, { "id" : "6a2ca17574d8ee00a09a5966", "title" : "Staff Electrical Engineer (Sensors & Imaging Systems)", "company" : "Rhoda AI", "industry" : "Hardware", "location" : "Mountain View", "locations" : [ "Mountain View" ], "certifications" : [ ], "timestamp" : "2026-06-15T08:47:22.332", "fingerprint" : "9af0f1b19394201d6a26ee1a9a302c8fb104d0630cf805f852887e8e6494eb58", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/rhoda-ai/6412a88a-49c2-4db5-94f0-243847aa5cf5/application", "externalId" : "6412a88a-49c2-4db5-94f0-243847aa5cf5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 10, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "CMOS image sensors, ToF, mmWave radar, LiDAR, thermal imaging, MIPI CSI-2, parallel RGB, IR illuminators, structured light, analog design, digital design, high-speed interfaces, ROS", "professionalSkills" : [ "Robotics stack, high-performance hardware, robot systems, foundation world models, generalist robots, complex real-world environments, camera and imaging pipelines, depth and ranging sensors (ToF, Radar, LiDAR), thermal imaging, electrical and signal-integrity considerations, CMOS image sensors, optics fundamentals, Image Signal Processing (ISP), camera interfaces, illumination/lighting subsystems, Time-of-Flight (ToF) sensors, mmWave radar, thermal cameras, LiDAR architectures, analog and digital design, power delivery, signal integrity for high-speed interfaces, acoustic & audio hardware, speaker driver / amplifier design, sensor fusion software stacks." ], "hardSkillsList" : [ "camera selection", "optics interface", "electrical integration", "ISP tuning", "RAW/RGB pipelines", "sensor fusion hardware design", "lighting strategies", "schematics", "PCB layout", "BOMs", "power delivery", "signal integrity", "EMIC compliance", "characterization plans", "lab measurements", "statistical bring-up", "qualification methodologies", "NVIDIA platform", "FPGA", "acoustic hardware", "speaker driver design", "audio subsystem integration" ], "softSkillsList" : [ "technical direction, mentorship, influence" ], "hardSkills" : [ { "name" : "camera selection", "level" : "intermediate" }, { "name" : "optics interface", "level" : "intermediate" }, { "name" : "electrical integration", "level" : "intermediate" }, { "name" : "ISP tuning", "level" : "intermediate" }, { "name" : "RAW/RGB pipelines", "level" : "intermediate" }, { "name" : "sensor fusion hardware design", "level" : "intermediate" }, { "name" : "lighting strategies", "level" : "intermediate" }, { "name" : "schematics", "level" : "intermediate" }, { "name" : "PCB layout", "level" : "intermediate" }, { "name" : "BOMs", "level" : "intermediate" }, { "name" : "power delivery", "level" : "intermediate" }, { "name" : "signal integrity", "level" : "intermediate" }, { "name" : "EMIC compliance", "level" : "intermediate" }, { "name" : "characterization plans", "level" : "intermediate" }, { "name" : "lab measurements", "level" : "intermediate" }, { "name" : "statistical bring-up", "level" : "intermediate" }, { "name" : "qualification methodologies", "level" : "intermediate" }, { "name" : "NVIDIA platform", "level" : "intermediate" }, { "name" : "FPGA", "level" : "intermediate" }, { "name" : "acoustic hardware", "level" : "intermediate" }, { "name" : "speaker driver design", "level" : "intermediate" }, { "name" : "audio subsystem integration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "technical direction, mentorship, influence" } ], "majorSkills" : "multi-sensor imaging and perception systems, camera and imaging pipelines, depth and ranging sensors, electrical and signal-integrity, sensor fusion hardware design", "majorSkillsList" : [ "multi-sensor imaging and perception systems, camera and imaging pipelines, depth and ranging sensors, electrical and signal-integrity, sensor fusion hardware design" ], "coreResponsibilities" : "Architect end-to-end imaging and sensing subsystems, including camera selection, optics interface, illumination, and electrical integration, to meet product-level performance, power, and cost targets. Drive camera and sensor selection across CMOS image sensors, ToF, mmWave radar, LiDAR, and thermal modules. Own the camera signal chain, including ISP tuning and configuration, RAW/RGB pipelines, MIPI CSI-2 / parallel RGB interfaces, and characterization. Lead sensor fusion hardware design combining cameras, depth sensors, radar, and LiDAR for perception and object-detection workloads. Define lighting and illumination strategies for active and passive imaging. Specify and review schematics, layouts, and BOMs for sensor boards, flex cables, connectors, and power-delivery. Develop characterization and validation plans with lab measurements and statistical bring-up/qualification methodologies. Collaborate cross-functionally with firmware, computer-vision/ML, mechanical, optical, and manufacturing engineering. Engage with external vendors and partners.", "teamCollaboration" : "Partner closely with optics, mechanical, firmware, ML, and systems. Collaborate cross-functionally with firmware, computer-vision/ML, mechanical, optical, and manufacturing engineering. Mentor and influence engineers across the review designs, set best practices, and represent electrical engineering in architectural decisions.", "toolProficiency" : [ "NVIDIA Jetson, NVIDIA DRIVE, Xilinx, AMD, Intel, Altera, Lattice, ROS" ], "communicationSkills" : "written; verbal; drive alignment", "problemSolvingSkills" : "system design; cross-disciplinary problems; signal integrity; EMIC compliance; production issues", "outcomesObjectives" : "Within 6 months: become the go-to technical authority for sensor and imaging deliver a clear technical roadmap for the imaging stack. Within 12 months: lead the electrical architecture of at least one major sensor-driven product or platform release. Ongoing: raise the engineering bar through design reviews, mentorship, and reusable architectures that scale across product lines.", "qualificationsBasic" : "B. S. , M. S. , or Ph. D. in Electrical Engineering, Computer Engineering, Applied Physics, or a related field. Staff level: 10+ years of relevant industry experience designing electrical/sensor subsystems for shipping products. Principal level: 15+ years with a demonstrated track record of leading the technical direction of multiple high-volume sensor-based products. Deep, hands-on knowledge of CMOS image sensors and end-to-end camera systems. understanding of optics fundamentals. Image Signal Processing (ISP). Camera interfaces. Experience designing illumination / lighting subsystems for cameras. Time-of-Flight (ToF) sensors. mmWave radar for object detection. Thermal cameras. LiDAR: working knowledge of mechanical, MEMS, and solid-state LiDAR architectures and their electrical/interface requirements. Fundamentals in analog and digital design, schematic capture, PCB layout review, power delivery, and signal integrity for high-speed interfaces. Hands-on lab debug skills. Experience taking products through EVT → DVT → PVT → MP and resolving production issues. Excellent written and verbal able to drive alignment across hardware, firmware, ML, and product stakeholders.", "qualificationsPreferred" : "NVIDIA platform experience — Jetson (Orin, Xavier), DRIVE, or other NVIDIA SoC/GPU platforms used for camera and perception workloads. Other high-end GPU / accelerator exposure — Qualcomm, Ambarella, AMD, or comparable platforms for vision and AI inference at the edge. FPGA exposure — familiarity with FPGA-based sensor interfacing, bridging, and prototyping (Xilinx/AMD, Intel/Altera, Lattice). Embedded HDL coding is not an architectural and integration-level understanding is sufficient. Acoustic & audio hardware — experience with MEMS microphones, microphone arrays, 3D acoustic field capture / beamforming, and audio front-end design. Speaker driver / amplifier design — Class-D amplifiers, transducer selection, and audio output subsystem integration. Experience with sensor fusion software stacks, ROS, or working closely with computer-vision / ML teams. Published work, patents, or conference contributions in imaging, sensing, or perception.", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We are seeking a Staff or Principal Member of Technical Staff (MTS) – Electrical to lead the architecture, design, and technical execution of advanced multi-sensor imaging and perception systems. This is a senior individual-contributor role for an electrical engineer with deep, hands-on expertise across camera and imaging pipelines, depth and ranging sensors (ToF, Radar, LiDAR), thermal imaging, and the surrounding electrical and signal-integrity considerations that make these systems work in production. The successful candidate will set the technical direction for sensor selection, integration, and validation; partner closely with optics, mechanical, firmware, ML, and systems teams; and serve as a recognized technical authority across the organization. This role is ideal for an engineer who has taken multiple sensor-driven products from concept to volume production and is energized by solving hard, cross-disciplinary problems. KEY RESPONSIBILITIES - Architect end-to-end imaging and sensing subsystems, including camera selection, optics interface, illumination, and electrical integration, to meet product-level performance, power, and cost targets. - Drive camera and sensor selection across CMOS image sensors, ToF, mmWave radar, LiDAR, and thermal modules — evaluating resolution, FOV, sensitivity, dynamic range, frame rate, latency, and SWaP (size, weight, and power). - Own the camera signal chain, including ISP tuning and configuration, RAW/RGB pipelines, MIPI CSI-2 / parallel RGB interfaces, and characterization across lighting, temperature, and motion conditions. - Lead sensor fusion hardware design combining cameras, depth sensors, radar, and LiDAR for perception and object-detection workloads. - Define lighting and illumination strategies for active and passive imaging, including IR illuminators, structured light, and synchronized strobe designs. - Specify and review schematics, layouts, and BOMs for sensor boards, flex cables, connectors, and power-delivery networks; ensure signal-integrity and EMI/EMC compliance for high-speed interfaces. - Develop characterization and validation plans with lab measurements (oscilloscope, spectrum analyzer, optical bench) and statistical bring-up/qualification methodologies. - Collaborate cross-functionally with firmware/embedded, computer-vision/ML, mechanical, optical, and manufacturing engineering to drive designs from prototype through DVT, PVT, and mass production. - Mentor and influence engineers across the org; review designs, set best practices, and represent electrical engineering in architectural decisions. - Engage with external vendors and partners (sensor suppliers, module houses, ODMs) to evaluate roadmaps, negotiate specs, and resolve technical issues. REQUIRED QUALIFICATIONS EDUCATION & EXPERIENCE - B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Applied Physics, or a related field. - Staff level: 10+ years of relevant industry experience designing electrical/sensor subsystems for shipping products. - Principal level: 15+ years with a demonstrated track record of leading the technical direction of multiple high-volume sensor-based products. CAMERAS & IMAGING - Deep, hands-on knowledge of CMOS image sensors and end-to-end camera systems, including the trade-offs that drive camera selection (resolution, pixel size, QE, SNR, HDR, rolling vs. global shutter). - Strong understanding of optics fundamentals — Field of View (FOV), focal length, F-number, depth of field, distortion, and lens/sensor matching. - Image Signal Processing (ISP): demosaic, AE/AWB/AF, denoise, tone-mapping, color correction, lens shading, and ISP tuning for target use cases. - Camera interfaces: MIPI CSI-2 / D-PHY / C-PHY, parallel RGB, and RAW pipelines — including timing, lane allocation, signal integrity, and bring-up. - Experience designing illumination / lighting subsystems for cameras (visible, IR, NIR, synchronized strobes). DEPTH, RANGING & PERCEPTION SENSORS - Time-of-Flight (ToF) sensors: iToF and dToF principles, modulation schemes, multipath and ambient-light mitigation, depth accuracy characterization. - mmWave radar for object detection: FMCW radar fundamentals, antenna arrays, range/Doppler/angle estimation, and integration of radar modules at the board and system level. - Thermal cameras: microbolometer-based LWIR sensors, NUC, thermal calibration, and integration trade-offs. - LiDAR: working knowledge of mechanical, MEMS, and solid-state LiDAR architectures and their electrical/interface requirements. CORE ELECTRICAL ENGINEERING - Strong fundamentals in analog and digital design, schematic capture, PCB layout review, power delivery, and signal integrity for high-speed interfaces. - Hands-on lab debug skills: oscilloscopes, logic analyzers, spectrum analyzers, optical/imaging test equipment. - Experience taking products through EVT → DVT → PVT → MP and resolving production issues. - Excellent written and verbal communication; able to drive alignment across hardware, firmware, ML, and product stakeholders. PREFERRED QUALIFICATIONS (NICE-TO-HAVE) - NVIDIA platform experience — Jetson (Orin, Xavier), DRIVE, or other NVIDIA SoC/GPU platforms used for camera and perception workloads. - Other high-end GPU / accelerator exposure — Qualcomm, Ambarella, AMD, or comparable platforms for vision and AI inference at the edge. - FPGA exposure — familiarity with FPGA-based sensor interfacing, bridging, and prototyping (Xilinx/AMD, Intel/Altera, Lattice). Embedded HDL coding is not required; an architectural and integration-level understanding is sufficient. - Acoustic & audio hardware — experience with MEMS microphones, microphone arrays, 3D acoustic field capture / beamforming, and audio front-end design. - Speaker driver / amplifier design — Class-D amplifiers, transducer selection, and audio output subsystem integration. - Experience with sensor fusion software stacks, ROS, or working closely with computer-vision / ML teams. - Published work, patents, or conference contributions in imaging, sensing, or perception. WHAT SUCCESS LOOKS LIKE - Within 6 months: become the go-to technical authority for sensor and imaging subsystems; deliver a clear technical roadmap for the imaging stack. - Within 12 months: lead the electrical architecture of at least one major sensor-driven product or platform release. - Ongoing: raise the engineering bar through design reviews, mentorship, and reusable architectures that scale across product lines.", "summaryDescription" : "Staff Electrical Engineer (Sensors & Imaging Systems) at Rhoda AI. Skills: multi-sensor imaging and perception systems, camera and imaging pipelines, depth and ranging sensors, electrical and signal-integrity, sensor fusion hardware design. Architect end-to-end imaging and sensing subsystems, including camera selection, optics interface, illumination, and electrical integration, to meet product-level performance, power, and cost targets. Drive camera and sensor selection across CMOS image sensor", "createdAt" : "2026-06-14T20:17:24.801", "lastUpdated" : "2026-06-15T08:47:22.332", "ingestTimestamp" : "2026-06-14T20:17:24.801", "mongoId" : "6a2ca17574d8ee00a09a5966", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "camera selection", "optics interface", "electrical integration", "ISP tuning", "RAW/RGB pipelines", "sensor fusion hardware design", "lighting strategies", "schematics", "PCB layout", "BOMs", "power delivery", "signal integrity", "EMIC compliance", "characterization plans", "lab measurements", "statistical bring-up", "qualification methodologies", "NVIDIA platform", "FPGA", "acoustic hardware", "speaker driver design", "audio subsystem integration", "technical direction, mentorship, influence", "multi-sensor imaging and perception systems, camera and imaging pipelines, depth and ranging sensors, electrical and signal-integrity, sensor fusion hardware design", "Robotics stack, high-performance hardware, robot systems, foundation world models, generalist robots, complex real-world environments, camera and imaging pipelines, depth and ranging sensors (ToF, Radar, LiDAR), thermal imaging, electrical and signal-integrity considerations, CMOS image sensors, optics fundamentals, Image Signal Processing (ISP), camera interfaces, illumination/lighting subsystems, Time-of-Flight (ToF) sensors, mmWave radar, thermal cameras, LiDAR architectures, analog and digital design, power delivery, signal integrity for high-speed interfaces, acoustic & audio hardware, speaker driver / amplifier design, sensor fusion software stacks.", "NVIDIA Jetson, NVIDIA DRIVE, Xilinx, AMD, Intel, Altera, Lattice, ROS" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 325.13522, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf26132beec4dd3d90b5fe", "title" : "MRI Technologist 2 - TGH Outpatient Imaging STC", "company" : "Tampa General Hospital", "industry" : "Healthcare", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the 2024-2025 market baseline for MRI Technologists in Tampa, Florida, adjusted for a junior to mid-level seniority at a large hospital." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
USF Health South Tampa Center (AMGSTC)
2 Tampa General Circle

Tampa, 33606

" ], "certifications" : [ "Radiology Technologist License", "Registered American Registry of Radiologic Technologists (ARRT)", "MRI registry eligible", "American Registry of Magnetic Resonance Imaging Technologists (AMRIT) certified", "Basic Life Support (BLS) certification" ], "timestamp" : "2026-06-16T04:54:48.361", "fingerprint" : "eca9c4125a6e2c51f0729455390738d97eca480ab662f85239bc6504f8ca5b4d", "source" : "taleo", "language" : "en", "applyUrl" : "https://tgh.taleo.net/careersection/ex/jobdetail.ftl?job=661417", "externalId" : "661417", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "minimumEducation" : "Associate's", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Radiology Technology, MRI, X-rays, Computer skills", "professionalSkills" : [ "Independent judgement", "Ingenuity", "Initiative" ], "hardSkillsList" : [ "Basic portable", "Fluoroscopy", "Extremity x-rays", "Chest x-rays", "Biopsies", "Trauma alerts", "Core MRI protocols", "Neurovascular MRA’s", "IV skills", "Q. A. maintenance", "Sterile contrast studies" ], "hardSkills" : [ { "name" : "Basic portable", "level" : "intermediate" }, { "name" : "Fluoroscopy", "level" : "intermediate" }, { "name" : "Extremity x-rays", "level" : "intermediate" }, { "name" : "Chest x-rays", "level" : "intermediate" }, { "name" : "Biopsies", "level" : "intermediate" }, { "name" : "Trauma alerts", "level" : "intermediate" }, { "name" : "Core MRI protocols", "level" : "intermediate" }, { "name" : "Neurovascular MRA’s", "level" : "intermediate" }, { "name" : "IV skills", "level" : "intermediate" }, { "name" : "Q. A. maintenance", "level" : "intermediate" }, { "name" : "Sterile contrast studies", "level" : "intermediate" } ], "majorSkills" : "MRI Technologist, Diagnostic imaging", "majorSkillsList" : [ "MRI Technologist", "Diagnostic imaging" ], "coreResponsibilities" : "Perform Magnetic Resonance Imaging procedures, Produce high quality diagnostic films, Perform a variety of procedures for MRI, Assist manager with policy and procedures implementation, Involve in interdepartmental committee, Precept for the department, Utilize ionizing radiation for diagnostic purposes, Perform job duties in accordance with mission, vision", "teamCollaboration" : "Interdepartmental committee involvement", "domainKnowledge" : "Magnetic Resonance Imaging; Radiology Technology; Diagnostic purposes; Ionizing radiation", "domainList" : [ "magnetic-resonance-imaging", "radiology-technology", "diagnostic-purposes", "ionizing-radiation" ], "domainSpecificKnowledge" : [ "Magnetic Resonance Imaging", "Radiology Technology", "Diagnostic purposes", "Ionizing radiation" ], "outcomesObjectives" : "Produce high quality diagnostic films", "qualificationsBasic" : "2-year program in Radiology Technology, Radiology Technologist License, ARRT & MRI registry eligible, AMRIT certified, Basic Life Support (BLS) certification, One (1) year progressive responsibility in MRI diagnostic imaging environment", "qualificationsPreferred" : "AMRIT Program completion", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The MRI Tech 2 is accountable for performing Magnetic Resonance Imaging procedures, which produce high quality diagnostic films. 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