Senior Director/Head, Translational AI Lab (TRAIL)

Genentech-posted 5 months ago
$280,400 - $520,700/Yr
Full-time • Senior
South San Francisco, CA
Chemical Manufacturing
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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 the 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.

  • Define and execute the vision for TRAIL as a translational and applied AI center of excellence within gRED.
  • Drive the application of AI/ML models to advance translational science, clinical trial design, biomarker discovery, and patient stratification.
  • Build strong connections between world-class computational teams, spanning AI/ML development, applied informatics, and experimental science.
  • Align TRAIL's strategy with Genentech's broader R D priorities and the evolving landscape of computational biology and translation.
  • Lead and grow a diverse team of computational biology scientists and data scientists (25-40 FTEs).
  • Foster a culture of scientific excellence, collaboration, and delivery, with strong mentorship and talent development practices.
  • Facilitate cross-functional collaboration with AI biology research development(BRAID), discovery biology, clinical sciences, biomarker development, data engineering, biostatistics, and informatics teams.
  • Advance the development of lab-in-the-loop and patient-in-the-loop AI paradigms in translational contexts.
  • Prioritize models that are interpretable and clinically actionable, designed in close collaboration with experimental and clinical partners.
  • Integrate TRAIL capabilities into ongoing gRED and pRED programs to enable earlier, more confident decision-making.
  • Act as a key liaison with internal and external stakeholders to position TRAIL as a critical enabler of both the gRED and pRED pipelines.
  • Represent Genentech's thought leadership in AI at scientific conferences, consortia, and with external collaborators and partners.
  • Maintain a strong scientific presence in the external research community through publications, conference presentations, and collaborations with academic institutions.
  • Support open science and reproducibility practices where appropriate.
  • Ph.D. (or equivalent) in Computer Science, Machine Learning, Computational Biology, Bioinformatics, or a related field.
  • 10+ years of relevant experience across biopharma, tech, or academic research environments.
  • Deep expertise in AI/ML and data science, with a strong track record of applying these methods to biological and clinical data (e.g., multi-omics, EHR, single-cell, spatial), ideally in translational or drug discovery contexts.
  • Proven scientific leadership, demonstrated through impactful publications, external visibility, and success driving high-value, cross-functional research programs.
  • Experience leading, growing, and mentoring high-performing teams of 10-25+ scientists and data scientists.
  • Strong strategic and organizational skills, with the ability to align scientific goals with broader R D objectives and drive integration across discovery, clinical, and computational domains.
  • Exceptional communication and influence skills, with the ability to engage technical and non-technical stakeholders.
  • Relocation benefits are available for this job posting.
  • The expected salary range for this position, based on the primary location of California, is $280,400 - $520,700.
  • Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.
  • A discretionary annual bonus may be available based on individual and Company performance.
Track Jobs with Teal

Job Search Resources

•
Resume Builder
•
Resume Examples
•
Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service