Foresite Labs

👥 11-50BiotechnologyBiopharmaMedicalHealth Care💼 Private Company
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Foresite Labs is a biotechnology company pioneering the use of data science to accelerate the discovery and development of new medicines. We incubate and build healthcare companies, connecting impactful changes in patient outcomes to the entire therapeutic development lifecycle. Our unique approach leverages advanced analytical techniques and a rigorous scientific process, resulting in a pipeline of innovative treatments. We're a fast-growing company with a collaborative and flexible work environment. Our engineering team utilizes a robust tech stack including Python, SQL, AWS cloud platforms, and various workflow systems (like Nextflow, WDL/CWL, and Airflow). We value reproducibility and build efficient, automated analytical pipelines. We foster a culture of collaboration among scientists and engineers, ensuring seamless integration of various data types and the development of user-friendly analytical tools and dashboards. Foresite Labs offers competitive salaries and excellent benefits, alongside the opportunity to contribute meaningfully to advancements in healthcare. We are an equal opportunity employer committed to diversity and inclusion, valuing the unique perspectives and experiences our team members bring. We are headquartered in San Francisco and Boston. With significant funding and a portfolio of promising ventures, Foresite Labs is poised for continued growth and success in transforming healthcare through data-driven innovation. Join us and be a part of shaping the future of medicine.

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📍 US

💸 160453.0 - 207000.0 USD per year

🔍 Healthcare

  • MS or PhD in bioinformatics, computer science, or equivalent.
  • 3-8 years of relevant work experience in industry post-PhD or MS.
  • Experience establishing efficient, reproducible pipelines for the analysis of biological data and other data types preferred.
  • Familiarity with cloud platforms (e.g., AWS).
  • Familiarity with ETL process and data integration techniques.
  • Experience building no-code tools that make analytical results accessible to decision makers (e.g., automated reports or dashboards) preferred.
  • Ability to write high-quality code both independently and as part of a team.
  • Experience with at least one scripting language (e.g., Python) and at least one database language (e.g., SQL) required.
  • Experience with workflow systems (e.g., Nextflow, WDL/CWL, Airflow, etc) and/or statistical languages (e.g., R), valued but not essential.

  • Create efficient pipelines for the analysis of genetic, functional genomic, proteomic, and other molecular data types.
  • Integrate scientific pipelines and their output with other structured and unstructured data, including implementation of automated reports and dashboards.
  • Collaborate with scientists and software engineers to execute complex analyses, including integration of internally and externally developed tools.
  • Manage inputs, intermediates, and results of complex pipelines, providing clear provenance and reproducibility for critical decisions.

AWSPythonSoftware DevelopmentSQLETLData visualizationScripting

Posted 4 days ago
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