Director, Bioinformatics and Genomics
Gilead Sciences
full-time
Posted on:
Location Type: Hybrid
Location: Foster City • California • 🇺🇸 United States
Visit company websiteSalary
💰 $226,185 - $292,710 per year
Job Level
Lead
Tech Stack
AWSAzureCloudGoogle Cloud PlatformLinuxPython
About the role
- Lead a team in Bioinformatics & Genomics reporting to Bioinformatics & Genomics leadership
- Build data-to-knowledge (D2K) pipelines and integrate GenAI-enabled knowledge workflows
- Lead projects in target identification/validation and biomarker strategy by mining and integrating large multi-omics datasets (e.g., TCGA, AC-ICAM, TARGET, GTEx, cBioPortal, dbGaP) with Kite clinical, in vivo and in vitro data
- Perform and review high-dimensional analyses (bulk/scRNA-seq/scTCR, spatial transcriptomics, Olink proteomics, metabolomics, flow cytometry, and digital pathology) to characterize the tumor microenvironment and enable molecular phenotyping
- Develop predictive models from complex high-dimensional research and clinical datasets linked to differential outcomes (efficacy, durability, CRS/ICANS)
- Work closely with cross-functional teams (discovery research, clinical development, translational medicine, regulatory, CMC analytics, IT/Data Engineering, product development) to align analysis plans to program decision points
- Coordinate deliverables with clinicians, immunologists, molecular biologists, biostatistics, IT/Data Engineering, commercial and other departments; contribute to protocols, SAPs, CSRs, publications, and Health Authority responses
Requirements
- Doctorate and 8 years of scientific experience OR Master’s and 10 years of scientific experience OR Bachelor’s and 12 years of scientific experience
- Ph.D. in Bioinformatics, Computational Biology, Immunology, or a closely related field and 5+ years of post-doctoral or industry experience (preferred)
- Full proficiency in R and/or Python
- Experience in Linux environments and cloud computing (AWS/Azure/GCP)
- Development of statistical methods and algorithms
- Proficiency building and maintaining large-scale analysis pipelines (containers, workflow orchestration, CI/CD)
- Operating securely in the cloud
- Deep knowledge of cancer biology and cancer immunology; familiarity with cell-therapy translational datasets and safety/efficacy biomarkers (CRS/ICANS)
- Hands-on experience with bioinformatics analysis of NGS and flow cytometry
- Analysis of bulk and single-cell transcriptomics and spatial data using standard pipelines
- Strong understanding of statistics and ability to generate robust predictive models for multidimensional data
- Excellent interpersonal, verbal and written communication skills
- Experience in cancer immunology research as substantiated by first or senior authorship in leading journals
- Team leadership and people management experience (preferred)
Benefits
- discretionary annual bonus
- discretionary stock-based long-term incentives (eligibility may vary based on role)
- paid time off
- company-sponsored medical insurance
- company-sponsored dental insurance
- company-sponsored vision insurance
- company-sponsored life insurance
- benefits package (additional details at https://www.gilead.com/careers/compensation-benefits-and-wellbeing)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
BioinformaticsGenomicsRPythonLinuxAWSAzureGCPstatistical methodspredictive models
Soft skills
interpersonal skillsverbal communicationwritten communicationteam leadershippeople management
Certifications
Ph.D. in BioinformaticsPh.D. in Computational BiologyPh.D. in Immunology