Computational Biologist

Genentech • Daly City, CA

1d • Onsite

About The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
We are seeking a talented and highly motivated Senior Scientist in Computational Biology to join our dynamic team. The successful candidate will work in a highly interdisciplinary group at the intersection of Genentech’s Computational Sciences, Discovery Immunology, Ophthalmology, and Translational Medicine departments.
This role offers the opportunity to contribute end-to-end across the drug development lifecycle, spanning target and biomarker discovery through clinical development and translational strategy. The successful candidate will design and analyze large-scale multi-omic datasets at both the bulk and single-cell levels, from preclinical models to patient samples, to generate insights that directly inform both early discovery decisions and clinical development within Genentech’s immunology pipeline, with a focus on Chronic Obstructive Pulmonary Disease (COPD).
Working closely with experimental, clinical, computational, and AI/ML scientists, you will integrate molecular, clinical, and phenotypic data to advance understanding of disease biology, mechanisms of action, and patient heterogeneity, enabling forward and reverse translation between the clinic and the lab.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, or a related field; or a Ph.D. in (Molecular) Biology or Immunology with in-depth experience in high-throughput data analysis evidenced by publications.
• 0–3 years of post-PhD experience (industry or academia). A strong publication record is a plus.
• Experience with single-cell and multi-omic data analysis and clinical data.
• Strong interest in inflammatory diseases; prior expertise in immunology or inflammation, and prior experience in COPD, are a plus.
• Proficiency in advanced analytical tools and algorithms, with extensive experience in R and/or Python for statistics and computational biology. Familiarity with UNIX, high-performance computing environments, and ML/AI approaches is a plus.
• Excellent communication skills, with the ability to present complex data to varied audiences.
• A collaborative mindset and the ability to work effectively in an interdisciplinary team environment.
• Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.

Responsibilities

• Design, analyze, and interpret large-scale bulk and single-cell multi-omic datasets from preclinical models and human patient samples to understand disease biology and progression.
• Identify and prioritize therapeutic targets and biomarkers to support discovery programs and translational hypotheses.
• Analyze molecular and clinical data to inform drug mechanisms of action, patient stratification, and clinical development strategy.
• Identify, curate, and integrate relevant datasets from internal and external sources.
• Apply and adapt state-of-the-art computational and statistical approaches to biological and clinical questions.
• Collaborate closely with interdisciplinary teams of experimental, quantitative, and clinical scientists across discovery and development.
• Communicate complex analyses and insights clearly to diverse scientific and project-level audiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree