2 дня назад
Senior Scientist, Computational Biology
147 000 - 191 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Scientist, Computational Biology (Biotech/Computational Biology): Defining computational biology strategy and developing reproducible analyses for transcriptomic, genomic, and other high-dimensional datasets across drug discovery, with an accent on single-cell and single-nucleus RNA-seq, workflow development, and cross-functional collaboration. Focus on designing tailored analytical approaches, building AI-assisted workflows, validating scientific results, and supporting target validation through IND-enabling studies.
Location: South San Francisco, United States
Salary: $147,000–$191,000 per year
Company
develops therapeutics and advances an early-stage drug discovery portfolio for patients.
What you will do
- Define the direction of computational biology efforts across Discovery and adapt analytical strategy as project needs evolve.
- Design, analyze, and interpret in vitro and in vivo experiments with cross-functional scientific teams.
- Perform rigorous, reproducible analyses of bulk and single-cell or single-nucleus transcriptomics, genomic, and other high-dimensional datasets.
- Develop and extend computational tools, workflows, and AI-assisted analysis approaches while evaluating outputs for scientific accuracy.
- Manage external analysis partners and apply best practices for code management, data management, workflow orchestration, and version control.
- Communicate findings to cross-functional teams and contribute to regulatory filings, patents, and publications.
Requirements
- PhD in Computational Biology, Epidemiology, Neuroscience, Statistics, or a related field, plus 3+ years of relevant industry experience.
- Proven experience analyzing single-cell or single-nucleus RNA-seq data and applying relevant statistical methods.
- Experience with tools such as Cell Ranger, CellBender, Seurat, or scanpy.
- Extensive experience using R or Python for high-dimensional biological data analysis.
- Knowledge of Git and tools for generating analysis reports, such as R Markdown or Quarto.
- Track record of impactful research, peer-reviewed publications, and strong analytical and communication skills.
Nice to have
- Experience with proteomics, mass spectrometry, or human genetics.
- Experience building dashboards with Shiny.
Culture & Benefits
- Cross-functional collaboration across Discovery and the broader portfolio.
- 401(k), healthcare coverage, and employee stock purchase plan.
- Diverse and inclusive work environment.
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