Executive Director, Data Science

Executive Director, Data Science
United States - California - Foster CityUnited States - New Jersey - Parsippany

Gilead Sciences, Inc. is a research-based bio-pharmaceutical company that discovers, develops and commercializes innovative medicines in areas of unmet medical need. With each new discovery and investigational drug candidate, we seek to improve the care of patients living with life-threatening diseases around the world. Gilead's therapeutic areas of focus include HIV/AIDS, liver diseases, cancer and inflammation, and serious respiratory and cardiovascular conditions.

Making an impact on a global scale
Inclusion is one of the company's five core values. That's because we know that we are stronger and more innovative at Gilead when we are informed by a diverse set of backgrounds, experiences and points of view. Gilead Sciences is a biopharmaceutical company that discovers, develops and commercializes innovative therapeutics in areas of unmet medical need. The company's mission is to advance the care of patients suffering from life-threatening diseases worldwide.

When you join Gilead, you join our mission to change the world by enabling people to live healthier and more fulfilling lives. Come join a mission-driven bio-pharmaceutical organization that values inclusion and diversity, has a strong portfolio of products, and is constantly #CreatingPossible

For Current Gilead Employees and Contractors:

Please log onto your Internal Career Site to apply for this job.

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

The Clinical Data Sciences (CDS) organization within Gilead is accountable for the study design, data generation and analysis activities that support Gilead's global clinical portfolio, including Gilead-led post-authorization and observational studies. Through its Development Systems department, CDS also provides an important bridge between the Development and Enterprise-IT organizations, implementing and managing Development's unique technology needs. CDS's vision is to advance therapeutics by providing an analytical, rigorous and data-driven foundation for innovation and excellence in drug development.

Enterprise Data Science Overview

Recently, Gilead launched the Enterprise Data Science Council (EDSC), consisting of data science leadership from each of the major business units across Gilead and chaired by the SVP Clinical Data Science. The purpose of this council is to enable the coordinated and compliant scaling of data science across the enterprise, while preserving the strength and agility of the existing business-embedded data science teams.

To achieve this, the Enterprise Data Science Council will take on four key roles: 1) Support and strengthen the data science community of practice; 2) Establish enterprise data science policies and governance (ex., Enterprise data and AI governance); 3) Coordinate and create transparency into data science use cases and investments across Gilead; and 4) Extend our data science capability to pursue cross-functional innovation and enable functions with limited data science resources.

Position Overview:

Reporting to the SVP of Clinical Data Science, the Executive Director, Data Science is a senior leadership role accountable for both Clinical Development and Enterprise data science capabilities. As a member of the Clinical Data Science Leadership Team, the Executive Director, Data Science is accountable for Development's machine learning and artificial intelligence strategy, overseeing the expansion of the industry-leading Advanced Analytics organization to address the growing opportunity for value generation through the application of AI/ML, including large language models (LLMs), across Development. From an enterprise-perspective this individual will also lead the EDSC's efforts to extend Gilead's enterprise data science capabilities through cross-functional innovation and by providing direct data science support for functions with limited data science resources. Collaborating with senior data science leaders from the EDSC, they will oversee the development and execution of the EDSC's strategy for prioritizing and resourcing diverse AI, ML and data science use cases across the enterprise.

In both their Enterprise and Development capacities the successful candidate will use an enterprise mindset approach, to lead a collaboration with technical, analytical, and clinical peers to deliver on the enterprise-wide best-practices and capabilities necessary to implement data science and AI/ML at scale. Building on this foundation, the organization will cultivate a top tier artificial intelligence & machine learning team focused on addressing complex problems that materially advance the drug discovery, development and delivery process.

The ideal candidate will have a proven track record of enterprise-wide data science leadership and strategic situational judgement in using both innovative and pragmatic approaches to creating measurable business value through the application of data science and AI/ML, as well as demonstrated motivation for and excellence in people leadership and development.

Key Responsibilities:
Strategic Thinking: Aligns with Development and Enterprise Data Science Council leadership to define and implement an AI/ML strategy that accelerates its use and creates measurable value for internal and external stakeholders; Maintains an understanding of relevant external global trends in the impact of AI/ML on pharmaceutical discovery, development, and delivery; identifying strategic needs and setting the direction for the organization to meet those needs.
People Development: Develops others by identifying and mentoring high performers and building a culture of inclusion and collaboration throughout the organization; Delegates responsibility and empowers others.
Decision-making: Maintains a culture of rigorous data-driven decision making that rewards truth-seeking behavior; Encourages employees to exercise good judgement and embrace decision making; Empowers capable individuals to be accountable decision-makers
Delivery Excellence: Builds and develops an expert team of data scientists, AI/ML modelers and data engineers to support Gilead's data science needs; Leads an assessment of the organization's current AI/ML capabilities and strengths and works closely with Enterprise IT and Development Systems in the development of a roadmap for building vs buying additional capabilities where needed.

Additional Responsibilities:
Influence and Partnership: Creates external relationships with academic and industry experts to stay abreast of emerging analytics capabilities; Identifies, selects and develops partners, including vendors and collaborators (both academic and industry), ensuring alignment with the Enterprise Data Science Council's overall strategy and identifying cross functional benefits
Innovation: Keeps up to date on industry-leading applications of AI/ML and associated technologies in healthcare by actively participating in technical conferences and maintaining relationships with external innovators to constantly bring the best solutions to Gilead
Communication: Champions data sciences and the Enterprise Data Science Council across all areas of the business; Creates excitement and passion for the role of data science, AI & ML in all aspects of drug development across the organization

Capabilities and Requirements:
Accountabilities and responsibilities will include, but are not limited to, the following:
Collaborate closely with the Development Leadership team to build and maintain a data science and AI/ML strategy that supports and enables the Development organization
In partnership with Development Systems, Enterprise IT and Clinical Programming, develop and operationalize data ingestion, processing, integration and storage capabilities necessary to serve up highly diverse datasets for machine learning and deep learning algorithm development.
In partnership with Development Systems, Enterprise IT and data science leaders from the Enterprise Data Science Council, develop and operationalize MLOps best practices, provide input on AI/ML systems and contribute to a build-vs-buy AI platform strategy across Gilead.
In support of both Development and the EDSC, recruit a top-tier AL/ML team with a long-term focus on addressing complex problems that materially advance the drug discovery, development and delivery.
Advises and influences senior leadership/functional leads on data science strategies as well as functional issues that have a business impact.
Represents Gilead at professional societies, and in industry-wide technical discussions.
Manages their organization's budget and coordinates limited resources to produce quality deliverables within timelines for competing priorities.
Interacts and manages KOLs/CROs and represents the company in external scientific and technical forums.
Provides guidance to employees' development plans and carries out performance review and feedback.
Provides active coaching to team members when developing solutions to problems.
Collaborates across the EDSC and with AI/ML peer organizations to build a professional and effective data science community that is seen as a business asset, strategic partner and attracts, develops and retains top talent

Minimum Qualifications:
Masters or PhD in Computer Science, Statistics, Data Science, Mathematics, Operations Research, or a related field.
14+ years of progressive experience working in the development and application of data science and analytics to address specific business problems, with 5+ years of demonstrated team leadership responsibilities
5+ years hands-on experience developing machine learning/deep learning models to help business stakeholders make data-driven decisions
Extensive experience leading data science or related strategies for highly complex business areas and/or workstreams, including short and long-range strategic planning, governance and oversight
Demonstrated ability to create and fulfill a vision in a matrix environment and work collaboratively with executive-level internal stakeholders across different functions
Demonstrated skill in resource planning, management and strong coaching capabilities to mentor/develop staff
Proven effective verbal and written communication skills, including the ability to translate between business leaders, scientists and technologists
Strong leadership presence with demonstrated ability to lead without authority and influence programs, projects and/or initiatives
Strong negotiation and conflict resolution skills
When needed, ability to travel
Experience working within a GCP-regulated environment and with clinical trial data is highly desirable

Technical & Analytical Skills
Working knowledge of Python (Experience with R is also beneficial)
Hands-on experience performing machine-learning & deep learning in a cloud environment
Strong familiarity with conventional ML methods: support vector machines, random forests, gradient boosting, etc)
Knowledge of different deep learning network architectures and their tradeoffs including LSTM, GRU, CNN, RNN, transformer models, different pooling methods, different activation functions, etc.
Understanding of key deep learning techniques such as transfer learning, drop out, etc.
Experience applying Generative AI, including approaches to optimize their output based on the specific application (ex Retrieival-Augmented Generation (RAG))
Familiarity with data imputation methods using deep learning such as generative adversarial networks

Personal Profile
You are a natural leader and specialist in supporting and creating business value using data and data science
You can create excitement and passion for the role of data science to impact pharmaceutical development across the organization
You are a reputable expert in building analytics teams who enjoys learning and debating on novel technologies and analytics, is persuasive and trusted by senior leadership teams
You have strong interpersonal skills who is able to create collaborative relationships companywide and support individuals with their specific needs
You are a champion of the long-term vision for Advanced Analytics and its partnership with Biostatistics, Data Sciences, Bioinformatics, Real World Evidence and other analytics disciplines within Gilead

The salary range for this position is: $274, $355, 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*.

For additional benefits information, visit:

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

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As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance.

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Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.

Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.

For Current Gilead Employees and Contractors:

Please log onto your Internal Career Site to apply for this job.

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