Job Details

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.

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. Join Gilead and help create possible, together.

Job Description

Gilead's mission is to discover, develop, and deliver therapies that will improve the lives of patients with life-threatening illnesses worldwide.

We are seeking a visionary Director, Data Science, to lead high-impact, cross-functional initiatives across therapeutic areas that drive strategic value and innovation throughout the organization. This role will partner with diverse stakeholders and data science peers to establish best practices, streamline operations, and deliver measurable improvements in driving business performance, team efficiency, and cost optimization.

This role reports to the Sr. Director, Marketing Sciences and may be based in Parsippany (NJ), or Foster City (CA).

The ideal candidate will bring deep expertise in healthcare data and a strong track record of applying advanced analytics and AI/ML techniques to inform decision-making and improve patient outcomes. This leader will drive initiatives such as: defining and implementing best practices in data science across teams and TAs; championing scalable, reusable solutions that accelerate insight generation and operational excellence; lead cross-TA and cross-functional data science initiatives including advancing cross-functional collaborations on initiatives like the Medical Digital Assistant, HCP to account mapping, stigma measurement, and more.

Success in this role requires a strategic mindset, technical depth, and the ability to influence and align stakeholders across functions to shape the future of data science within the enterprise. Hands-on functional expertise, highly collaborative mindset and leadership skillsets required.

Responsibilities:

• Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and triggers robustly for markets.
• Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and etc.
• Lead data science projects end to end including converting unstructured business questions into data science solutions, provide guidance to offshore teams, be a hands-on leader who codes and debugs, and communicates with stakeholders.
• Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models.
• Bring thought leadership and thorough understanding of statistics to construct robust propensity models for impactful commercial use.
• Create data science products that can be refreshed, reproduced and replicated.
• Work with other data scientists to define retraining schedules and measure propensity models for impact.
• Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa.
• Communicate effectively and abstract backend complexity where it is not needed.

Competencies:

• Results orientation. Thrive in a fast-paced, high-growth environment with a strong drive to meet and exceed goals, ownership of problems, and disciplined processes to ensure success.
• Team leadership. Demonstrated ability to build, develop, and motivate a team with effective hiring, coaching, and mentoring of direct reports; foster inclusive culture and succession planning.
• Strategic Orientation. Ability to articulate evolving priorities, identify opportunities, and build/measurable commercial strategies.
• Collaboration and Influence. Ability to influence without ownership and to catalyze dialogue across the organization with integrity and credibility.

Basic Qualifications:

• Bachelor's Degree and Twelve Years' Experience OR Master's Degree and Ten Years' Experience OR PhD and Eight Years' Experience
• Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, tree-based algorithms (RF, XGBoost, LightGBM), SMOTE, etc.
• Experience in building, implementing and using AI-based solutions with proven business impact
• Strong leadership capable of managing initiatives end-to-end
• Effective written and verbal communication skills

Preferred Experience:

• Experience in implementing and optimizing AI-based solutions with proven business impact
• Experience with pharma/consumer data types and sources (e.g., patient claims, Xponent, Plantrak, sales, activity)
• Expertise in pharma datasets (IQVIA, Symphony, Komodo, Optum, Definitive Health, Health Verity, EMR/HER)
• Expertise in Python with common data science libraries (numpy, pandas, scikit-learn, seaborn, networkx)
• Experience with data science techniques (ANCOVA, Bayesian statistics, econometric modeling, neural networks/logistic)
• Cloud technologies/tools (Databricks, S3, etc.)
• Experience designing measurement solutions in visualization software (Tableau preferred)
• Demonstrated product mindset and familiarity with product management principles
• Strong teamwork, inclusivity, and cross-functional collaboration
• Understanding of emerging data science capabilities and their pharma/healthcare applications
• Understanding of datasets strengths/limitations and acceptable error ranges by therapeutic space
• Advanced degree with related experience or significant relevant analytics experience

People Leader Accountabilities:

• Create Inclusion by modeling and embedding the value of diversity in team management.

• Develop Talent by coaching employees on performance and potential, enabling growth and purpose realization.

• Empower Teams by aligning goals and providing support to remove barriers and connect to the broader ecosystem.

The salary range for this position is: Bay Area: $226,185.00 - $292,710.00; Other US Locations: $205,615.00 - $266,090.00.

Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives, paid time off, and a benefits package. Benefits include medical, dental, vision, and life insurance plans.

For additional benefits information, visit: www.gilead.com/careers/compensation-benefits-and-wellbeing

Eligible employees may participate in benefit plans, subject to plan terms.

Gilead Sciences is an equal opportunity employer. We are committed to fostering an inclusive work environment with diverse perspectives, backgrounds, and experiences. Employment decisions are made without regard to race, color, religion, national origin, sex, age, sexual orientation, disability, or other protected characteristics. Reasonable accommodations are available to applicants with disabilities.

Please apply via the Internal Career Opportunities portal in Workday if you are a current Gilead employee or contractor.