Senior Scientific Software Engineer, Analytics and Workflows at Genentech - ScoutJobs - The AI-curated global job board
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Genentech
Posted 20 hours ago

Senior Scientific Software Engineer, Analytics and Workflows

GenentechSenior Scientific Software Engineer, Analytics and Workflows

Requirements

PhD in Software Engineering, Computer Science, or Bioinformatics with 2 years experience, OR Masters degree with 5 years experience, Expert R package development, Experience with single cell and bulk data analysis, Knowledge of Parquet, tileDB, Zarr, or H5 formats, Experience with REST APIs and MCPs

Skills

RPythonBioinformatics

About the role

Responsibilities

  • Establish and maintain workflows, libraries, and stand-alone tools for transcriptomics and epigenetic data analysis at both bulk and single-cell levels.
  • Evaluate, refine, and productionize analytical workflows to support drug pipeline decisions.
  • Collaborate with computational scientists to translate analytical needs into reusable software components.
  • Partner with interdisciplinary teams of Software Engineers, Computational Biologists, and Data Scientists to develop scientific tools and interfaces.
  • Manage FAIR data principles, including tracking data lineage and ensuring data quality and discovery.

Requirements

  • PhD in Software Engineering, Computer Science, Bioinformatics, or a related field with 2 years of relevant experience, OR a Master's degree with 5 years of relevant experience.
  • Expert knowledge of R package development and familiarity with the Posit toolchain.
  • Proven experience analyzing large-scale single-cell and bulk datasets using R.
  • Proficiency in integrating and analyzing multimodal biological data using scalable formats such as Parquet, tileDB, Zarr, or H5.
  • Experience working with REST APIs, MCPs, and modern programmatic data science interfaces.
  • Demonstrated ability to manage the full software development lifecycle following modern practices.

Preferred Qualifications

  • Experience with the Bioconductor and Tidyverse ecosystems.
  • Proficiency in RMarkdown, Quarto, Shiny, or Plumber deployment.
  • Experience with Python technologies including Pandas, Polars, Streamlit, or FastAPI.
  • Prior experience working within a life sciences or drug development environment.

Benefits

  • Highly collaborative and dynamic research environment.
  • Access to large-scale datasets, advanced compute resources, and state-of-the-art technologies.
  • Participation in professional seminar series featuring academic and industry leaders.
  • Campus-like lifestyle with a focus on healthy work-life balance.
  • Mentored opportunities for professional skill development.

About the Company

Genentech, a member of the Roche group, is a pioneer in the biotechnology industry. We are dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Through our Computational Sciences Center of Excellence, we harness the power of AI and data to accelerate drug discovery and transform patient care worldwide.

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Senior Scientific Software Engineer, Analytics and Workflows

Genentech · South San Francisco

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