Ubc
biotechnology
PostdoctoralResearchFellow
“Postdoctoral Research Fellow at Ubc. Skills: data pipelines, AI tools, LLMs, vector databases, NLP. Architect and maintain scalable pipelines for the ingestion and transformation of diverse biological and clinical data types, including drug targets, approved drugs, and related ontologies. Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs)”
Industry & Context.
What They're Looking For.
Must Have
PhD completed within the last 5 years in Computer Science, Data Science, Computational Biology, or a related field, Experience in data engineering, AI/ML systems development, or related applied research, with a track record of handling large-scale biological or clinical datasets, proficiency in Python, FastAPI, and PostgreSQL, Hands-on experience with LLMs, vector databases (e. g. , Pinecone), and NLP tools, Familiarity with clinical trial data structures, academic publication indexing, and biological ontologies, Experience operating data pipelines within AWS using Docker, Excellent communication, teamwork, and project management skills, with the ability to work effectively across technical and scientific teams, Eligible for Mitacs funding: must be a Canadian citizen, permanent resident, international student with a valid student visa, or international postdoctoral researcher with a valid work permit, aged 18 or older, whose PhD graduation date is less than five years prior to the project start date. Exceptions are available for extenuating circumstances such as parental leave. Applicants must not have been previously employed at the partner organization (SOZO Intuition Systems).
Nice to Have
Experience building end-to-end retrieval-augmented generation (RAG) pipelines, including retrieval, reranking, and generation, Experience with agentic coding tools and frameworks, Record of peer-reviewed publications and effective collaboration across technical and scientific teams, Experience with oncology or other clinical datasets
What You'll Do.
Architect and maintain scalable pipelines for the ingestion and transformation of diverse biological and clinical data types
including drug targets
and related ontologies
Design components of the AI pipeline for enrichment and reasoning over technical life sciences data using large language models (LLMs)
Manage the storage and retrieval of biological entities and relationships using vector databases and PostgreSQL
Integrate specialized NLP workflows to extract insights from unstructured academic and clinical text
Maintain rigorous scientific and data quality standards for AI-generated outputs
ensuring contributions meet clinical and technical standards
Help define data engineering practices
and quality translate product requirements into scalable technical designs and implementation plans
Supervise research assistants and trainees involved in data collection
Develop and write manuscripts for peer-reviewed publications
Contribute to the development of future grant applications
How You'll Work.
Team & Collaboration
Collaborate within multidisciplinary teams across SOZO Intuition Systems and UBCC Cancer, including technical, clinical, and scientific stakeholders
Communication Scope
Excellent communication
Process & Methodology
project management
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