Principal Scientist -Precision Medicine

Job description

**Role & responsibilities** Integrated Analysis support: - Oversee pipeline execution: run and optimize automated processing pipelines, perform routine QC on outputs, and document run parameters, versions, and any deviations. - Review data QC / results QC: execute QC checks on data and result deliverables generate QC summaries, and route issues for resolution. - Support results data viewers: Build and refresh RMarkdown/Quarto or Shiny data viewers using approved templates for single-study and cross-study exploration; package and publish outputs in the agreed team format. - Cross-study database integration support: contribute to data collation, standardization, and ingestion activities (mapping variables, harmonizing identifiers, validating joins, running ETL checks) - Ensure timely and high-quality programming deliverables in assigned projects and areas. - Create data quality reports, programming documentation, including integrated dataset specifications following programming standards and processes Technical Expertise and Leadership: - Provide subject matter and technical expertise in developing tools and standard processes - Troubleshoot and resolve programming and submission-related issues effectively. - Support the implementation of best practices to enhance efficiency and compliance in assigned areas. - Collaborate with project programmers and cross-functional teams to meet internal decision making timelines and objectives. - Oversee the job duties of a small team are performed on time, and of high quality Open Source Code Development - Claude Code sharing and optimization: maintain a reusable library of prompts/snippets/skills for common tasks (e.g., data viewer creation), define standards (style, testing, documentation), and provide light enablement to ensure consistent AI-assisted workflows. **Preferred candidate profile** BS. (MS. is a plus) in Bioinformatics, Computer Science, Computational Biology, Life Sciences, or related discipline with 4+ years of programming experience, preferably in life sciences(cardiovascular, metabolic, immunity, hematology, oncology, renal diseases, neurodegenerative disorders, muscle and metabolism disorders, and/or rare genetic diseases) processing molecular data and or clinical trial data in the biotechnology, pharmaceutical, or health-related industry. Additional 2+ management experience.