Director, Research Data Sciences

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.

We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference.

We empower our leaders to step up, share ideas, listen, learn, and lead. We’re welcoming bright, diverse, and imaginative minds;

we’re nurturing them to foster an environment of inclusion and growth where innovation is encouraged. We expect our people leaders to model that environment, and to focus on creating inclusion, developing talent, and enabling teams.

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.

Join Gilead and help create possible, together.

Job Description

We have an exciting opportunity for a scientific leader with deep analytical and computational expertise in Research Data Sciences at Gilead.

This individual will play a key role within multidisciplinary research teams developing and applying advanced analytical methods, AI / ML, statistical modeling, to support Gilead’s expanding research programs and discovery capabilities.

Responsibilities

• Provide deep expertise in statistical and ML methods, and applications to accelerate research discovery.
• Establish and drive external collaborations in cutting-edge analytical method development and technology platforms.
• Collaborate with cross-functional teams to identify, evaluate, and deliver solutions to support Gilead Research objectives.
• Hands-on analysis of internal and external datasets and development of AI / ML models to support decision making and scientific insights.
• Collaborate cross therapeutic areas to deliver impact on research programs, examples including but not limited to statistical modeling of TCR repertoires, deep learning for peptide-MHC-binding and antigen epitopes predictions, etc.
• Mentor junior scientists in a matrix environment
• 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

Required Qualifications :

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.

Industry experience and people management experience is preferred

• Demonstrated track record and expertise in AI / ML method development and applications, e.g. deep neural networks, active learning, Bayesian optimization, LLM, etc.
• Excellent interpersonal and communication skills that foster collaboration and teamwork.
• Proficiency in R, Python, or C / C++ programming languages, shell scripting and command line tools
• Proficiency in Linux environment, HPC and cloud computing
• Strong publication track record in high impact peer-reviewed journals

The salary range for this position is : $221,170.00 - $286,220.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location.

These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package.

Benefits include company-sponsored medical, dental, vision, and life insurance plans*.