Sr Manager, Data Scientist, Technical Developoment

Posted 8 Days Ago
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Foster City, CA, USA
In-Office
182K-236K Annually
Senior level
Biotech
The Role
Leads applied data science, statistical modeling, AI, machine learning, automation, and scientific knowledge-management initiatives across Technical Development. Partners with scientists, IT, digital, quality, and platform teams to frame analytical problems, develop and validate models, build reusable workflows, establish evaluation frameworks, and scale trusted decision-support capabilities. Focus areas include predictive modeling, GenAI, knowledge graphs, image and process analytics, stability modeling, and workflow optimization.
Summary Generated by Built In

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
 

Job Description

We are seeking a Senior Manager, Data Scientist, Technical Development to lead applied analytics, statistical modeling, ML/AI, and automation use cases that advance scientific insight and support priority decisions across Technical Development. This role partners with TechDev scientists, Digital Solutions, IT/platform teams, Quality, and other stakeholders to frame scientific questions, prototype and validate analytical approaches, and develop reusable, workflow-integrated decision-support capabilities. Early focus areas may include predictive modeling, LLM/GenAI-enabled knowledge management and automation, image-based or process-data modeling, stability analytics, scheduling/workflow optimization, and participation in broader enterprise AI initiatives.

Job Responsibilities:

  • Lead the identification, prioritization, and evaluation of high-value data science, AI, and analytics opportunities across Technical Development, balancing scientific impact, feasibility, scalability, and organizational priorities.

  • Partner with TechDev scientists to prototype, test, interpret, and iterate analytical approaches in real development workflows.

  • Translate scientific and operational questions into clear analytical problem statements, including intended use, assumptions, data needs, success measures, and decision impact.

  • Lead cross-functional initiatives and influence scientific, digital, and technology stakeholders to align on analytical strategies, platform capabilities, data standards, and adoption approaches.

  • Design and advance scientific knowledge management capabilities, including structured knowledge assets, ontologies, knowledge graphs, retrieval systems, and GenAI-enabled scientific discovery and decision-support solutions.

  • Define and implement evaluation frameworks for analytical and AI-enabled solutions, including performance measurement, validation, robustness, explainability, and adoption metrics to ensure trusted scientific use.

  • Build and promote reuse of analytical assets across priority TechDev use cases and initiatives (e.g., statistical and ML/AI models, standardized datasets and features, dashboards, automation scripts, workflow patterns, code, data definitions, and analytical methods).

  • Work with Digital Solutions, IT/platform teams, and other partners to move suitable analytics from exploratory work toward scalable, supportable products and workflows.

  • Contribute to enterprise LLM/GenAI and data-driven solution areas in line with Responsible AI, data governance, quality, and documentation expectations.

Basic Qualifications

  • BA/BS with 10+ years of relevant experience; MA/MS with 8+ years of relevant experience; or PhD with 2+ years of relevant experience in data science, statistics, computational science, engineering, informatics, or a related quantitative field.

  • Multiple years of applied data science experience, including work using statistical modeling, machine learning, AI, automation, data engineering, visualization, knowledge management, or decision-support analytics.

  • Strong programming skills in Python, R, or similar languages, with demonstrated ability to develop reproducible analytical workflows, reusable code, and fit-for-purpose documentation.

  • Experience translating scientific or operational questions into analytical strategies, data requirements, modeling or retrieval approaches, evaluation plans, and interpretable outputs for business or scientific decision-making.

  • Working knowledge of data quality, metadata, identifiers, controlled vocabularies, ontologies, knowledge graphs, data governance, scalable data pipelines, and technical infrastructure concepts relevant to reliable analytical delivery.

  • Experience with methods or solution areas relevant to TechDev, such as stability modeling, image-based analytics, clone ranking or screening models, process or assay analytics, knowledge management, or scientific workflow automation.

  • Effective communication and stakeholder partnership skills, including the ability to align scientific, digital, and technology stakeholders around analytical strategies, assumptions, limitations, and adoption approaches.

Preferred Qualifications

  • Experience partnering with IT, engineering, data platform, or digital solution teams in cloud, platform, LLMOps, data lake, or workflow-integrated environments.

  • Experience working in GMP-adjacent or regulated environments, including intended-use clarity, fit-for-purpose validation, documentation, change control awareness, and quality expectations.

  • Experience coaching or guiding less experienced data scientists, analysts, scientists, or project team members on analytical methods, reproducible workflows, and responsible use of models or AI-enabled outputs.


 

The salary range for this position is: $182,070.00 - $235,620.00. 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*.

For additional benefits information, visit:

https://www.gilead.com/careers/compensation-benefits-and-wellbeing

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


For jobs in the United States:

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 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 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 [email protected] for assistance.

For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.

NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT
YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT

Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the  legal duty to furnish information; or (d) otherwise protected by law.
 

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 apply via the Internal Career Opportunities portal in Workday.

Skills Required

  • Bachelor’s degree with 10+ years of relevant experience, master’s degree with 8+ years, or PhD with 2+ years in data science, statistics, computational science, engineering, informatics, or a related quantitative field.
  • Multiple years of applied data science experience involving statistical modeling, machine learning, AI, automation, data engineering, visualization, knowledge management, or decision-support analytics.
  • Strong programming skills in Python, R, or similar languages, with experience developing reproducible analytical workflows, reusable code, and documentation.
  • Experience translating scientific or operational questions into analytical strategies, data requirements, modeling or retrieval approaches, evaluation plans, and interpretable outputs.
  • Working knowledge of data quality, metadata, identifiers, controlled vocabularies, ontologies, knowledge graphs, data governance, scalable data pipelines, and technical infrastructure.
  • Experience with relevant methods or solutions such as stability modeling, image-based analytics, clone ranking or screening models, process or assay analytics, knowledge management, or scientific workflow automation.
  • Effective communication and stakeholder partnership skills across scientific, digital, and technology teams.
  • Experience partnering with IT, engineering, data platform, or digital solution teams in cloud, platform, LLMOps, data lake, or workflow-integrated environments.
  • Experience in GMP-adjacent or regulated environments, including fit-for-purpose validation, documentation, change control awareness, and quality expectations.
  • Experience coaching or guiding less experienced data scientists, analysts, scientists, or project team members.

Gilead Sciences Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gilead Sciences and has not been reviewed or approved by Gilead Sciences.

  • Fair & Transparent Compensation Pay is considered competitive and fair relative to roles, frequently cited as a standout strength. Feedback suggests compensation compares well within biotech and is a notable reason employees feel valued.
  • Equity Value & Accessibility Stock awards and an employee stock purchase program are consistently described as meaningful parts of total compensation. Equity components are seen as accessible and enhance long‑term wealth building.
  • Retirement Support A strong company 401(k) match with immediate vesting is often singled out as a differentiator. This support is perceived to significantly boost long‑term financial security.

Gilead Sciences Insights

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The Company
HQ: Foster City, CA
14,337 Employees
Year Founded: 1987

What We Do

The way we see it, the impossible is not impossible. It’s simply what hasn’t been achieved yet. For more than 30 years, we’ve pursued it, chased it down, tackled it for answers and surrounded it for a way in. We have worked tirelessly to bring forward medicines for life-threatening diseases. Creating Possible drives everything we do. It’s evident in our mission and core values. This is how we built a culture of excellence that is fueled by a passion for improving lives of people around the world. For us, nothing is impossible – because of the people we work with, the communities we stand with and the partners we push forward with. Our ~12,000 employees band together through science, grit, compassion and courage to prove the impossible wrong. At Gilead, the tangible results of your contributions are evident. Where every individual matters. Where all employees can enhance their skills through ongoing development. And where we start every day with one question: “What’s next?” Social Media Guidelines: https://gilead.inc/3t1m7d5

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