Director, Bioinformatics

At Gilead were creating a healthier world for all people. For more than 35 years weve tackled diseases such as HIV viral hepatitis COVID-19 and cancer working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the worlds biggest health challenges and our mission requires collaboration determination and a relentless drive to make a difference.

Every member of Gileads team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions and were looking for the next wave of passionate and ambitious people ready to make a direct impact.

We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future you are the key driver in evolving our culture and creating an environment where every employee feels included developed and empowered to fulfil their aspirations. Join Gilead and help create possible together.

Job Description

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 Gileads expanding research programs and discovery

capabilities.

This is a site based role in Foster City CA

Key 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

Qualifications:

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. Lead team efforts to provide capabilities and deliver solutions and collaborate cross-functionally to derive scientific insights and inform decisions from large-scale complex data

Recognized domain expert in computational biology data science areas and proactively assess cutting-edge technologies and evolutions in the relevant fields including but not limited to single-cell and spatial omics human genetics functional genomics etc. Applies in-depth knowledge to practical problems solving with result-driven mindset.

Trusted partner and advisor for cross-functional teams on the necessary direction to achieve data science goals and objectives with impact across multiple functions. Proactively seeks out key business challenges and provides leadership advice and guidance on new solution development and execution.

Develops and cultivates strong and enduring relationships with external thought leaders Identifies and recommends future-facing change opportunities that advance and accelerate cross-functional Research strategies and Gileads competitive advantage.

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. Excellent scientific rigor and strategic thinking in proposing new ideas and presenting project rationales and milestones.

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Eligible employees may participate in benefit plans subject to the terms and conditions of the applicable plans.

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