Harvard University
Biomedical
SeniorDataScientist/ComputationalBiologist
“Senior Data Scientist/Computational Biologist at Harvard University. Skills: Data analysis, Computational biology, R, Python, Machine learning. Processing, analyzing, and integrating public and newly generated single-cell and spatial multi-omics datasets. Developing sustainable tools, software packages, and integrated data science products”
What You'll Achieve.
Advance in CCB’s mission to leverage data and computation to transform research and improve health; Empower research labs to explore, analyze, and interpret their data; Accelerate research workflows; Promote best practices in computational biology, reproducible research, and AI-enabled workflows; Increase adoption and impact of open-source software and data resources
Industry & Context.
Quantitative, analytical, and communication skills; Work independently and collaboratively on scientific problems and deliver solutions; Examining, evaluating, and recommending analytical approaches; Methodological developments for novel and challenging data analysis and integration tasks
Visa sponsorship not provided, One-year term position with possibility of extension, Work location will be set by the department and based upon operational needs, Employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts, Certain visa types and funding sources may limit work location, Individuals must meet work location sponsorship requirements prior to employment, Pre-Employment Screening: Identity
What They're Looking For.
Must Have
Minimum of seven years’ post-secondary education or relevant work experience, Ability to program at a high level in R or Python, Ability to work independently, communication skills
Nice to Have
PhD in Bioinformatics, Biostatistics, Computer Science, Statistics or related field, Substantial experience in analyzing genetic, genomic, or image data, Experience with analyzing single-cell and spatial omics data, Working knowledge of git or similar tools for scientific software development, Experience writing data publishing tools that support user interaction such as RStudio's Shiny or Connect applications, Experience with machine learning frameworks such as TensorFlow or PyTorch, Ability to work on teams, Completion of Harvard IT Academy specified foundational courses (or external equivalent)
What You'll Do.
and integrating public and newly generated single-cell and spatial multi-omics datasets
Developing sustainable tools
and integrated data science products
Leading integrative data analyses for HMS research groups
Executing projects with clearly defined scope independently and in partnership with HMS faculty collaborators
Providing technical guidance
Communicating results in a clear
and maintaining robust analysis workflows (e.g.
Evaluating and implementing AI-assisted approaches that accelerate research workflows
Developing and delivering hands-on workshops and learning materials
Providing office hours and consultation to promote best practices
Contributing to and maintaining open-source software and data resources
Supporting releases and user documentation
Engaging with external developer communities
How You'll Work.
Team & Collaboration
Working in teams; Collaborative projects; Partnership with HMS faculty collaborators; Engaging with external developer communities
Communication Scope
Quantitative, analytical, and communication skills; Communicate results in a clear, actionable manner
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