Director, Causal AI & Experimentation jobs in United States
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Genentech ยท 1 day ago

Director, Causal AI & Experimentation

Genentech is dedicated to improving patient outcomes through innovative healthcare solutions. The Director, Causal AI and Experimentation will lead a team focused on applying Causal AI and data-driven experimentation to enhance business decision-making and foster a data-driven culture within the organization.

BiotechnologyLife ScienceManufacturing
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Define and execute the Causal AI & Experimentation strategy, focusing on advancing measurement capabilities to drive innovation and guide continuous improvement of data-driven business solutions
Act as a subject matter expert for applicable experimentation and measurement methodologies, including advanced Causal AI and emerging measurement technologies
Collaborate with data science product owners/managers, data leads, Machine Learning Engineers, Machine Learning Operations, and RDT teams to develop efficient data-driven applications, gain alignment, and deliver impactful business insights
Effectively communicate findings to both technical and non-technical audiences
Stay abreast of the latest advancements in data science and AI, particularly in Causal AI, ensuring responsible AI practices and applying innovative approaches to enhance AI product capabilities for measurement
Lead and mentor a team of data scientists, statisticians, and applied economists, fostering collaboration and supporting their professional development
Advocate AI adoption, partner with cross-functional teams for skill-building, foster data-driven decision-making, and build highly-connected, high-performing teams by leading, developing, and inspiring a thriving data science team

Qualification

Causal AIData ScienceStatistical MethodsMachine LearningPythonRSQLA/B TestingCommunication SkillsCritical ThinkingProblem SolvingTeam Leadership

Required

Bachelor's degree in Statistics, Mathematics, Applied Economics or a related quantitative field
8 years of experience with 5 years of experience as a Data Scientist or in a similar role with a track record of delivering successful data science products
Proficiency in programming languages such as Python, R
Strong knowledge of SQL for database management
Solid understanding of statistical methods and machine learning algorithms
Familiarity or hands-on experience with Causal AI and/or other industry-adopted measurement techniques, including but not limited to A/B testing, Market Mix Modeling, Observational Experimentation, etc
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis

Preferred

Experience working with large and complex data sets in collaboration with business and analytics teams
Experience with deep learning, including Generative AI, frameworks
Contributions to open source projects or publications in data science, specifically in the Causal AI and/or experimentation/measurement domain
Experience in healthcare, pharmaceutical, or highly regulated industries
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, Microsoft Certified: Azure Data Scientist Associate.)

Benefits

A discretionary annual bonus may be available based on individual and Company performance.

Company

Genentech

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Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.

H1B Sponsorship

Genentech has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)

Funding

Current Stage
Public Company
Total Funding
unknown
2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown

Leadership Team

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Ashley Magargee
Chief Executive Officer
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Michael Laird
Vice President
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Company data provided by crunchbase