Principal Scientist, Bioinformatics

Responsibilities: Lead and actively participate in the design and execution of computational strategies and hands‑on analysis of clinical and biological datasets to support go/no‑go decisions Hands‑on development and application of computational methods for single‑cell and spatial transcriptomics to generate actionable translational insights from clinical samples Establish scalable pipelines for multi‑modal data integration across programs Integrate and analyze functional genomics datasets (e.g., bulk RNA‑seq) to generate mechanistic insights that inform translational and clinical strategies Provide high‑impact analyses with direct influence on clinical decision‑making and visibility to senior leadership Collaborate with senior leadership to define priorities, allocate resouces, and establish timelines aligned with company objectives Partner with experimental scientists to design studies leveraging advanced omics approaches and interpret results Ensure reproducibility, scalability, and data quality across bioinformatics pipelines Communicate complex findings effectively to scientific and non‑scientific stakeholders, including senior leadership

Qualifications: Deep expertise in single‑cell and spatial transcriptomics analysis, including scRNA‑seq and related high‑dimensional omics datasets Strong experience analyzing functional genomics and transcriptomic data (e.g., bulk RNA‑seq, WES) to derive biological and translational insights Strong foundation in biological sciences, with experience or interest in immunology and disease biology Deep understanding of modern statistical and computational methods for high‑dimensional data analysis Proficiency in Python and/or R, with experience using relevant bioinformatics frameworks Experience developing and maintaining scalable data analysis pipelines and working with cloud‑based infrastructure (e.g., AWS) Excellent communication and presentation skills, with the ability to influence cross‑functional stakeholders and translate complex data into clear, actionable insights Demonstrated experience managing external CROs and bioinformatics vendors Proven leadership experience, including mentoring and developing scientific teams Strong cross‑functional collaboration skills and ability to translate computational insights into biological and clinical impact Ability to work both independently and collaboratively in a fast‑paced environment, with strong organizational skills and attention to detail Education / Background PhD in Biological Sciences, Computational Biology, Biostatistics, Bioinformatics, Genomics, or a closely related discipline with 5 years of industry experience. Pay Range$180,000 -- $215,000 USD Location This role is based in the South San Francisco office, with hybrid work arrangements possible.

Benefits: Annual discretionary bonus Equity grant(s) Medical, dental, vision and life insurance coverage 401K plan Flexible spending account ESPP Employee assistance program Paid vacation, holiday and personal days Paid parental, pregnancy and bereavement leave