Director, Research Data Sciences

Key Skills

Active Learning algorithms, AI technology, C Programming, C++, Deep neural networks, Effective communication skills, High performance computing- HPC, Large Language Models - LLMs, Linux Operating system, Machine learning techniques, Python Programming, R Programming

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