Getting Hired
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
Sr. Manager, Data Science
to drive high‑impact, cross‑functional initiatives across therapeutic areas that deliver 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.
The ideal candidate will bring knowledge in healthcare data and a strong track record of applying advanced analytics and AI/ML techniques to inform decision‑making and improve patient outcomes. The role 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; and driving cross‑TA and cross‑functional data science initiatives including the Medical Digital Assistant, HCP to account mapping, stigma measurement and others.
Success requires 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 are required.
This role reports directly to the Sr. Director, Marketing Sciences and may be based in Parsippany (NJ), or Foster City (CA).
Responsibilities
Partner in driving the industrialization of predictive sciences to understand the patient journey and trigger robustly for markets.
Understand Gilead’s commercial business objectives and develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and related functions.
Drive data science projects end to end, converting unstructured business questions into data science solutions; be a hands‑on expert who knows how to code, debug and communicate with stakeholders.
Foster a culture of measurement and impact, incorporating feedback to continuously improve data science models.
Construct robust propensity models for impactful commercial use through strong statistical knowledge and predictive algorithms.
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 complex ideas in an accessible manner, abstracting backend complexity where not needed.
Competencies
Results Orientation.
Thrive in a fast‑paced, high‑growth environment; meet and exceed goals, take ownership, set milestones, and handle challenges with contingency plans.
Team Leadership.
Build, develop, and motivate a team through hiring, coaching, and mentoring; foster an inclusive culture; plan succession.
Strategic Orientation.
Articulate evolving priorities; identify market opportunities; build and execute strategies that deliver measurable impact.
Collaboration and Influence.
Influence without ownership using fact‑based persuasion, passion, and persistence; build relationships with internal and external constituencies.
Qualifications
Bachelor’s Degree and Eight Years’ Experience OR Master’s Degree and Six Years’ Experience OR PhD and Two Years’ Experience.
Strong knowledge of machine learning algorithms (regression, clustering, neural networks, Bayesian models, RNN, CNN, tree‑based methods, SMOTE, etc.).
Experience building, implementing, and using AI‑based solutions with proven business impact.
Strong leadership; manage initiatives from start to finish independently.
Effective written and verbal communication skills.
Preferred Experience
Implementation and optimization of AI‑based solutions with proven business impact.
Experience with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity.
Expertise in pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive Health, Health Verity, EMR/HER.
Python proficiency with libraries: numpy, pandas, scikit-learn, seaborn, networkx.
Advanced data science techniques: ANCOVA, Bayesian statistics, econometric modeling, neural networks, logistic regression.
Knowledge of cloud technologies: Databricks, S3, etc.
Experience designing measurement solutions in visualization software (Tableau preferred).
Product mindset and familiarity with product management principles.
Inclusive, solution‑oriented team player.
Understanding of emerging data science capabilities and their application in pharma/healthcare.
Deep understanding of dataset strengths, limitations, capture rates, and error ranges for therapeutic spaces.
People Leader Accountabilities
Create inclusion: model diversity, embedding its value in team management.
Develop talent: coach employees on current performance and future potential; provide growth feedback.
Empower teams: align goals, purpose, and organizational objectives; remove barriers; connect teams to the broader ecosystem.
Equal Employment Opportunity Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection 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 non‑job related characteristics.
Salary Range Bay Area: $169,320.00 – $219,120.00. Other US Locations: $153,935.00 – $199,210.00.
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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
Sr. Manager, Data Science
to drive high‑impact, cross‑functional initiatives across therapeutic areas that deliver 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.
The ideal candidate will bring knowledge in healthcare data and a strong track record of applying advanced analytics and AI/ML techniques to inform decision‑making and improve patient outcomes. The role 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; and driving cross‑TA and cross‑functional data science initiatives including the Medical Digital Assistant, HCP to account mapping, stigma measurement and others.
Success requires 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 are required.
This role reports directly to the Sr. Director, Marketing Sciences and may be based in Parsippany (NJ), or Foster City (CA).
Responsibilities
Partner in driving the industrialization of predictive sciences to understand the patient journey and trigger robustly for markets.
Understand Gilead’s commercial business objectives and develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and related functions.
Drive data science projects end to end, converting unstructured business questions into data science solutions; be a hands‑on expert who knows how to code, debug and communicate with stakeholders.
Foster a culture of measurement and impact, incorporating feedback to continuously improve data science models.
Construct robust propensity models for impactful commercial use through strong statistical knowledge and predictive algorithms.
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 complex ideas in an accessible manner, abstracting backend complexity where not needed.
Competencies
Results Orientation.
Thrive in a fast‑paced, high‑growth environment; meet and exceed goals, take ownership, set milestones, and handle challenges with contingency plans.
Team Leadership.
Build, develop, and motivate a team through hiring, coaching, and mentoring; foster an inclusive culture; plan succession.
Strategic Orientation.
Articulate evolving priorities; identify market opportunities; build and execute strategies that deliver measurable impact.
Collaboration and Influence.
Influence without ownership using fact‑based persuasion, passion, and persistence; build relationships with internal and external constituencies.
Qualifications
Bachelor’s Degree and Eight Years’ Experience OR Master’s Degree and Six Years’ Experience OR PhD and Two Years’ Experience.
Strong knowledge of machine learning algorithms (regression, clustering, neural networks, Bayesian models, RNN, CNN, tree‑based methods, SMOTE, etc.).
Experience building, implementing, and using AI‑based solutions with proven business impact.
Strong leadership; manage initiatives from start to finish independently.
Effective written and verbal communication skills.
Preferred Experience
Implementation and optimization of AI‑based solutions with proven business impact.
Experience with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity.
Expertise in pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive Health, Health Verity, EMR/HER.
Python proficiency with libraries: numpy, pandas, scikit-learn, seaborn, networkx.
Advanced data science techniques: ANCOVA, Bayesian statistics, econometric modeling, neural networks, logistic regression.
Knowledge of cloud technologies: Databricks, S3, etc.
Experience designing measurement solutions in visualization software (Tableau preferred).
Product mindset and familiarity with product management principles.
Inclusive, solution‑oriented team player.
Understanding of emerging data science capabilities and their application in pharma/healthcare.
Deep understanding of dataset strengths, limitations, capture rates, and error ranges for therapeutic spaces.
People Leader Accountabilities
Create inclusion: model diversity, embedding its value in team management.
Develop talent: coach employees on current performance and future potential; provide growth feedback.
Empower teams: align goals, purpose, and organizational objectives; remove barriers; connect teams to the broader ecosystem.
Equal Employment Opportunity Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection 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 non‑job related characteristics.
Salary Range Bay Area: $169,320.00 – $219,120.00. Other US Locations: $153,935.00 – $199,210.00.
#J-18808-Ljbffr