Senior Staff Engineer, Bioinformatics
Posted about 1 month ago
Job Title: Senior Staff Engineer, Bioinformatics
Location: San Diego, CA
Job Type: Full-Time
Salary $202,000-$215,000
Position Overview
The Senior Staff Engineer, Bioinformatics will develop, advance, and support large-scale analysis of multi-omic data, through application of existing and novel methods. They will be responsible for developing scalable pipelines for cloud and HPC environments. The ideal candidate combines strong expertise in data science and software development, along with the ability to work cross-functionally with wet-lab and commercial teams.
Key Responsibilities
Analyze large-scale multi-omic data to delineate technical artifacts from biological signals.
Design and implement novel computational methods to improve signal detection and reduce compute costs.
Develop and maintain robust analysis pipelines.
Build and optimize reproducible workflows in cloud and HPC environments with attention to cost and scalability.
Identify and resolve technical artifacts through cohort-level and assay-aware analysis.
Partner with wet-lab scientists to diagnose and address assay artifacts.
Communicate findings clearly and contribute to technical decision-making.
Qualifications
Education:
Ph.D. in computational biology, computer science, statistics, genomics, or related field
Required:
6+ years of professional experience in bioinformatics or closely related roles.
Ability to distinguish biological signal from technical noise using a variety of statistical, machine learning and deep learning methodologies.
Proficiency in programming languages frequently used for both ad hoc and scalable production multi-omic analyses.
Experience developing reproducible workflows in cloud or HPC environments.
Preferred:
Experience optimizing compute costs at scale
Experience developing commercial products
Why Join Us
Work in a dynamic, collaborative environment where innovation and scientific rigor are deeply valued.
Join a seasoned and multidisciplinary team tackling high-impact problems at the intersection of science and engineering.
Competitive compensation and equity package, comprehensive benefits, and flexibility to support work-life integration.
We are an equal opportunity employer. We thrive on diversity and collaboration.
Foresite Labs creates companies at the intersection of AI/machine learning and science. We believe AI, generative AI, and data science—when applied with scientific rigor—can accelerate discovery and drive innovations that benefit humanity. We provide the foundation for bold ideas to take shape and accelerate, shaping a better future for all. We offer competitive salaries, excellent benefits, and a flexible work environment where employees learn from top thinkers across multiple disciplines. With headquarters in San Francisco and Boston, we’re building a culture where scientific rigor meets entrepreneurial ambition. Foresite Labs Values Truth over progression: We follow the science, pursuing ideas that are grounded in data and abandoning them when not supported by the evidence. Take good risks: Our culture values informed risk-taking: good decisions are celebrated even when they result in bad outcomes. Everyone feels safe to contribute ideas and to learn from failure. Single accountable person: The project team lead is accountable for all decisions and for maintaining transparency and information flow within the team; we trust the project teams. The Review Committee unlocks capital and sets directions. Simplicity and Focus: “Companies die from indigestion, not starvation” (Bill Hewlett) We will focus on a few ideas aggressively and minimize all other distractions. Everyone will have a few key goals that have measurable outcomes. Respect and Community: Our employees are our greatest asset; everyone invests in creating an environment of collaboration and respect. We support their careers and career development whether they stay, go to a Labs company, or end up somewhere else.
Key team members
Alex Aravanis MD PhD
Damien Soghoian
Christopher Baldwin
Kylie Reynolds
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