Associate Director, Process Development Lead – Data Science

US - CA - Foster City

Gilead Sciences

Gilead Sciences, Inc. is a research-based biopharmaceutical company focused on the discovery, development, and commercialization of innovative medicines.

View company page

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
 

Associate Director, Process Development Lead – Data Science:
 

Recently, Gilead launched an Enterprise Data Science Council (EDSC), serving as a central hub to enable and coordinate enterprise-wide data science activities, establish enterprise policies related to Data Governance and AI, and provide visibility into use case investments across the company. The Process Development Lead will be responsible for designing, implementing, and optimizing processes that support the functioning of the EDSC. The position requires high proficiency in process development, proven ability to deliver results, and an understanding of data science (e.g., enterprise data governance and AI governance). The candidate will collaborate with data engineers, scientists, and other leaders to draft well-defined data usage policies, standards, and procedures align with organizational goals and regulatory requirements. The role involves continuous monitoring and improvement of data governance processes to enhance data quality, integrity, security, and compliance across the enterprise.

Key Responsibilities will include, but are not limited to the following:

  • Lead the development and maintenance of enterprise data science (e.g., data governance and AI governance) procedural documents, process maps, and community-based materials to support EDSC objectives. 
  • Facilitate communication and collaboration across teams to align process development with EDSC objectives.
  • Ensure processes comply with relevant regulations and standards (e.g., FDA, EMA) and comply with Good Manufacturing Practices (GMP), Good Clinical Practices (GCP) and Good Laboratory Practices (GLP).
  • Work closely with representatives from Research and Development, Manufacturing, Quality Assurance, Regulatory Affairs, and other departments to ensure seamless process integration and change management.
  • Coordinate with functional training groups to develop training programs that support council objectives.
  • Monitor and report on the effectiveness of data governance and AI governance processes.
  • Provide expertise in AI governance to ensure responsible and ethical use of AI technologies.
  • Support R&D Quality functions during audits and assessments to identify and mitigate data risks.
     

Qualifications

  • 8+ Years with MS/MA or MBA
  • 10+ Years with BS/BA
  • Passionate about continuous improvement within the field of data science and establishing new procedures which embrace technological solutions and/or automation via advanced data solutions.
  • Mature experience and skillsets in developing process maps and authoring technical and scientific literature.
  • Excellent writing skills including translating complex subject matter into lucid and comprehensible terms.
  • Critical thinking ability to connect themes and concepts from diverse teams to build controlled procedures.
  • Strong analytical skills to assess data quality issues and develop solutions to improve processes.
  • Strong communication skills to articulate data governance concepts and policies to non-technical audiences.
  • Able to quickly pivot to emerging and changing needs of the EDSC.
  • Experience managing complex projects and working with cross-functional teams.
  • Proven track record of developing and implementing data governance frameworks and policies.
  • Ability to analyze the impact of data governance policies on business processes.
  • Knowledge of data governance principles, AI governance principles, and relevant data protection regulations.
  • Experience and knowledge in the field of technology, clinical or data sciences.
  • Understanding of pharmaceutical regulations and guidelines (e.g., FDA, EMA, GxP, HIPAA).


 

The salary range for this position is: $177,905.00 - $230,230.00. 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:

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 ApplicantAccommodations@gilead.com 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

PAY TRANSPARENCY NONDISCRIMINATION PROVISION

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.

Apply now Apply later
  • Share this job via
  • or
Job stats:  2  0  0

Tags: AI governance Data governance Data quality GCP Pharma R R&D Research Security

Perks/benefits: Career development Equity / stock options Health care Insurance Medical leave Salary bonus Transparency

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.