Job Details

Job Description

At Gilead, we're creating a healthier world for all people. For more than 35 years, we've 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.

Every member of Gilead's 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 we're 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.

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.

Key Responsibilities

• Lead statistical and bioinformatics analysis of multi-omics datasets to support target discovery, pipeline programs and translational research.
• Develop novel analysis of large omics and high dimensional data 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.
• 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.
• 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.
• Excellent interpersonal and communication skills that foster collaboration and teamwork.
• Strong publication track record in high impact peer-reviewed journals.

The salary range for this position is: $226,185.00 - $292,710.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location.

Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences.