Director, Bioinformatics

Gilead Sciences • Foster City, CA

110d • $226,185 - $292,710

About The Position

We have an exciting opportunity for a scientific leader with deep computational biology and AI/ML expertise in Research Data Sciences at Gilead. This individual will drive high-value data science impact on target identification and therapeutic strategies from close collaboration with therapeutic area leaders in oncology and inflammation, playing a key role across multidisciplinary research teams to support Gilead’s expanding research programs and discovery capabilities. This is a site based role in Foster City, CA.

Requirements

• A PhD in computational biology, computer science, data science, physical science, statistics, or a related field with a minimum of 10+ years of relevant work experience, including extensive experience leading computational biology and data science initiatives in the biopharma industry.
• Extensive scientific and technical experience driving excellence and innovation with high standards for impactful deliverable and achievements.
• Recognized domain expert in computational biology, data science areas and proactively assess cutting-edge technologies and evolutions in the relevant fields.
• Trusted partner and advisor for cross-functional teams on the necessary direction to achieve data science goals and objectives with impact across multiple functions.
• Develops and cultivates strong and enduring relationships with external thought leaders.
• A proactive and self-motivated individual with strong work ethic and scientific rigor, ability to work in a dynamic environment and able to manage multiple objectives in parallel and adapt to changing priorities.
• Demonstrated track record and expertise in AI/ML method applications, e.g. deep neural networks, large language models (LLMs), GenAI and agentic framework, knowledge graphs, active learning, Bayesian optimization, etc.
• Excellent interpersonal and communication skills that foster collaboration and teamwork.
• Strong publication track record in high impact peer-reviewed journals.

Responsibilities

• Lead statistical and bioinformatics analysis of multi-omics datasets (transcriptomic, single cell sequencing, human genetics, high throughput screening, etc.) to support target discovery, pipeline programs and translational research.
• Develop novel analysis of large omics and high dimensional data from internal, publicly available, commercial, and real-world datasets to enable target identification/assessment, drug combinations, understanding of MOA, disease mechanisms, biomarker identification, etc.
• Initiate and lead external collaborations with academic and industry partners to build data resources, drive technological innovations and deliver high impact results.
• Collaborate with cross-functional teams to analyze and interpret complex large datasets, communicate findings and recommend follow-up actions.

Benefits

• Discretionary annual bonus
• Discretionary stock-based long-term incentives
• Paid time off
• Company-sponsored medical, dental, vision, and life insurance plans

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees