Summary of PositionWe are seeking a highly motivated and intellectually curious Computational Biologist to join our Translational Bioinformatics group. Operating in a highly collaborative and dynamic environment, this role is designed for a hands-on builder who thrives on high-quality biological data science that bridges biology and the clinic. You will serve as a vital technical partner, translating raw data (genomics, proteomics, flow cytometry, pathology) into actionable biological and clinical insights that drive our pipeline forward. The ideal candidate possesses a deep understanding of quantitative data science, a strong foundation in oncology or immunology, and a proven track record of writing clean, scalable code to answer complex therapeutic questions.
Responsibilities and Job Duties:- Multi-Omic Integration: Lead the technical execution and integration of diverse datasets across multiple pipelines. Manage data ingestion from external CROs and internal labs, combining internal high-dimensional datasets (Flow Cytometry, Digital Pathology) with large-scale molecular profiling data (Genomics, Transcriptomics, Proteomics).
- High-Performance Computing: Build, scale, and optimize processing pipelines within Cloud Computing to efficiently manage high-dimensional biomarker measurements.
- Provenance and reproducibility: Enforce strict version control, containerization, and rigorous documentation to ensure all analyses are fully reproducible, auditable, and transferable across the Translational Medicine team.
- Algorithmic Insight & Custom Analysis: Evaluate standard methodologies, identify limitations, and develop, maintain, or modify custom scripts and computational tools to address complex biological questions.
- Data Processing & Reporting: Translate raw, complex multi-omic data into clear, high-fidelity scientific data packages and executive-ready visualizations that support informed decision-making related to clinical programs and asset development. Build, maintain, and document robust, reproducible code infrastructure to streamline data extraction, enabling rapid-turnaround on cross-functional reporting.
- Cross-Functional Collaboration: Partner closely with Clinical Development, Biostatistics, and Translational Medicine colleagues to co-create data analysis strategies, validate clinical hypotheses, and design robust translational frameworks.
QualificationsEducation and Experience
Sr. Scientist I
- PhD in a quantitative field (Computational Biology, Bioinformatics, Genetics, Genomics, Biophysics, Physics, or a related discipline).
- 0 - 2 years of full-time, post-PhD experience (academic or industry) demonstrating independent scientific project ownership, cross-functional teamwork, and navigating a fast-paced environment.
Sr. Scientist II
- PhD in a quantitative field (Computational Biology, Bioinformatics, Genetics, Genomics, Biophysics, Physics, or a related discipline).
- 3+ years of full-time, post-PhD experience (academic or industry) demonstrating independent scientific project ownership, cross-functional teamwork, and navigating a fast-paced environment.
Knowledge, Skills, and Abilities
- Experience across standard modern biological data types including gene expression, genome sequencing, mutational profiling, and proteomics.
- Demonstrated comfort and autonomy working within Cloud Computing environments (AWS, Google Cloud) and/or traditional Linux High-Performance Computing (HPC) cluster infrastructures.
- Advanced proficiency in Python for data wrangling, statistical analysis, and data visualization. Experience with best software development practices, including rigorous documentation, testing, and version control (git).
- Ability to write robust, production-quality code completely independent of AI or agentic coding assistants. Deep understanding of the algorithmic basis behind common sequencing and data analysis tools.
- Demonstrated evidence of building published software.
Supervisory Responsibilities: None
Preferred Qualification- Prior hands-on experience working within Oncology or Immunology pathways, target identification, or biomarker discovery.
- Prior hands-on experience with AI/ML-enabled image analysis workflows.
- 2+ years working within a Biotech, Pharma, or structured translational research environment with cross-functional interactions.
- Familiarity with or exposure to agentic coding platforms.
- Experience handling data hand-offs and quality control from external CROs and proteomics/genomics vendors.
Additional InformationAnticipated Start Date: This position is expected to begin in and may not be able to start prior to January 2027.
The annual rate of pay for this position ranges from $132,000 - $201,300 for Sr. Scientist II and $115,600 - $176,300 for Sr. Scientist I. For non-exempt roles, and according to applicable regulations, there may be the possibility for overtime pay. This role is eligible for the Company's discretionary bonus and discretionary equity incentives. Eligible employees may participate in the Company's benefits programs, including medical / dental / vision / prescription coverage, employee wellness resources, 401(k) plan with employer match, access to an Employee Stock Purchase Plan, (ESPP), paid time off & paid parental leave benefits, and disability benefits.
The annual pay rate range is described in good faith, and the Company believes is the range of possible compensation for this role at the time of this posting depending on the candidate's experience, qualifications, geographic location, and other factors permitted by law. The Company may ultimately pay more or less than the posted range, and this range may be modified in the future. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
