Gilead Sciences, Inc.
Associate Director, Marketing Sciences
Gilead Sciences, Inc., Foster City, California, United States, 94420
Associate Director, Marketing Sciences
Location: United States - New Jersey - Parsippany, United States - California - Foster City Employment type: Commercial/Sales Operations Regular 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. 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. Job Description
As an Associate Director, Data Science, you will proactively bring innovative data‑science techniques and insights to business to drive and support strategic business decisions. You will stand up the capability of integrated HCP, patient journey and predictive sciences at scale for the commercial market. The person will work closely with integrated insights, commercial ops, patient engagement and omni‑channel analytics leads. Hands‑on functional expertise, highly collaborative mindset and leadership skillsets are required. This role will report to Sr. Director, Marketing Sciences and is office‑based/hybrid located in either Foster City, CA or Parsippany, NJ. Responsibilities
Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and trigger 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 other functions. Lead data‑science projects end to end: convert unstructured business questions into data‑science solutions, give guidance to offshore teams, be a hands‑on leader who knows how to code and debug, and communicate 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, primarily predictive algorithms & methodologies, 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 and Analysts to define retraining schedule 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 complex backend concepts in an abstracted, stakeholder‑friendly manner. Competencies
Results orientation.
Thrive in a fast‑paced, high‑growth environment; meet and exceed goals under adverse circumstances; take ownership and make decisions to move forward. Define objectives and priorities, establish milestones and handle derailments with contingency plans. Team leadership.
Build, develop and motivate a team: hire, coach and mentor direct reports. Leverage diversity of thought to achieve high results, build an inclusive culture, and plan for succession. Strategic orientation.
Articulate evolving business priorities, identify market opportunities, adapt short‑term plans and execute segmented strategies to win business across diverse customers. Deliver measurable commercial impact. Collaboration and influence.
Influence without ownership, demonstrate competence, confidence and accessibility. Listen to stakeholders, use fact‑based persuasion, maintain integrity, and shape dialogue across the organization. Basic Qualifications
Bachelor’s Degree and Ten Years’ Experience, Master’s Degree and Eight Years’ Experience or PhD and Five Years’ Experience. Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, tree‑based algorithms (RF, XGB, LightGBM), SMOTE, etc. Experience building, implementing and using AI‑based solutions with proven business impact. Strong leadership, able to manage initiatives from start to finish. Effective written and verbal communication skills. Preferred Experience
Experience implementing, optimizing and using AI‑based solutions to establish proven business impact. Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity. Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive Health, Health Verity, EMR/HER. Expertise in Python and commonly used data‑science libraries such as numpy, pandas, scikit‑learn, seaborn, networkx, etc. Understanding of cloud‑based technologies and tools such as Databricks, S3, etc. Demonstrated product mindset and familiarity with product‑management principles. Strong team player who is inclusive, objective, cross‑functional and solution‑oriented. Understanding of emerging data‑science capabilities and application in pharma/health‑care. Thorough understanding of datasets, including strengths, limitations, capture rate, projections and acceptable error ranges across therapeutic spaces. People Leader Accountabilities
Create Inclusion – model diverse teams and embed diversity value in team management. Develop Talent – coach employees, provide feedback and insights for growth. Empower Teams – align goals with organizational objectives, remove barriers and connect to broader ecosystem. The salary range for this position is: Bay Area: $195,670.00 - $253,220.00. Other US Locations: $177,905.00 - $230,230.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications and geographic location. This position may also be eligible for discretionary annual bonus, stock‑based long‑term incentives, paid time off and benefits package. Benefits include company‑sponsored medical, dental, vision and life insurance plans*. For additional benefits information, visit:
Gilead Benefits . Equal Employment Opportunity
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. Employment decisions will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information, gender identity and expression, veteran status or other prohibited grounds. Reasonable accommodations for protected individuals are available upon request. Job Requisition ID: R0049316
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Location: United States - New Jersey - Parsippany, United States - California - Foster City Employment type: Commercial/Sales Operations Regular 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. 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. Job Description
As an Associate Director, Data Science, you will proactively bring innovative data‑science techniques and insights to business to drive and support strategic business decisions. You will stand up the capability of integrated HCP, patient journey and predictive sciences at scale for the commercial market. The person will work closely with integrated insights, commercial ops, patient engagement and omni‑channel analytics leads. Hands‑on functional expertise, highly collaborative mindset and leadership skillsets are required. This role will report to Sr. Director, Marketing Sciences and is office‑based/hybrid located in either Foster City, CA or Parsippany, NJ. Responsibilities
Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and trigger 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 other functions. Lead data‑science projects end to end: convert unstructured business questions into data‑science solutions, give guidance to offshore teams, be a hands‑on leader who knows how to code and debug, and communicate 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, primarily predictive algorithms & methodologies, 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 and Analysts to define retraining schedule 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 complex backend concepts in an abstracted, stakeholder‑friendly manner. Competencies
Results orientation.
Thrive in a fast‑paced, high‑growth environment; meet and exceed goals under adverse circumstances; take ownership and make decisions to move forward. Define objectives and priorities, establish milestones and handle derailments with contingency plans. Team leadership.
Build, develop and motivate a team: hire, coach and mentor direct reports. Leverage diversity of thought to achieve high results, build an inclusive culture, and plan for succession. Strategic orientation.
Articulate evolving business priorities, identify market opportunities, adapt short‑term plans and execute segmented strategies to win business across diverse customers. Deliver measurable commercial impact. Collaboration and influence.
Influence without ownership, demonstrate competence, confidence and accessibility. Listen to stakeholders, use fact‑based persuasion, maintain integrity, and shape dialogue across the organization. Basic Qualifications
Bachelor’s Degree and Ten Years’ Experience, Master’s Degree and Eight Years’ Experience or PhD and Five Years’ Experience. Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, tree‑based algorithms (RF, XGB, LightGBM), SMOTE, etc. Experience building, implementing and using AI‑based solutions with proven business impact. Strong leadership, able to manage initiatives from start to finish. Effective written and verbal communication skills. Preferred Experience
Experience implementing, optimizing and using AI‑based solutions to establish proven business impact. Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity. Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive Health, Health Verity, EMR/HER. Expertise in Python and commonly used data‑science libraries such as numpy, pandas, scikit‑learn, seaborn, networkx, etc. Understanding of cloud‑based technologies and tools such as Databricks, S3, etc. Demonstrated product mindset and familiarity with product‑management principles. Strong team player who is inclusive, objective, cross‑functional and solution‑oriented. Understanding of emerging data‑science capabilities and application in pharma/health‑care. Thorough understanding of datasets, including strengths, limitations, capture rate, projections and acceptable error ranges across therapeutic spaces. People Leader Accountabilities
Create Inclusion – model diverse teams and embed diversity value in team management. Develop Talent – coach employees, provide feedback and insights for growth. Empower Teams – align goals with organizational objectives, remove barriers and connect to broader ecosystem. The salary range for this position is: Bay Area: $195,670.00 - $253,220.00. Other US Locations: $177,905.00 - $230,230.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications and geographic location. This position may also be eligible for discretionary annual bonus, stock‑based long‑term incentives, paid time off and benefits package. Benefits include company‑sponsored medical, dental, vision and life insurance plans*. For additional benefits information, visit:
Gilead Benefits . Equal Employment Opportunity
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. Employment decisions will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information, gender identity and expression, veteran status or other prohibited grounds. Reasonable accommodations for protected individuals are available upon request. Job Requisition ID: R0049316
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