Roche · 1 week ago
Director, Causal AI & Experimentation
South San Francisco
Full-time
Hybrid
Director/Executive
$214K/yr - $398K/yr
8+ years expRoche is committed to improving patient lives and fostering healthier communities. The Director, Causal AI and Experimentation will lead a team of data scientists and statisticians to drive the strategic application of Causal AI and data-driven experimentation, ensuring impactful decision-making and fostering a data-driven culture within the organization.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
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
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.
This position also qualifies for the benefits detailed at the link provided below.
Company
Roche
Roche is a pharmaceutical and diagnostics company that offers medicines and diagnostic tests for various medical conditions and diseases.
10001+ employees
H1B Sponsorship
Roche 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 (12)
2024 (9)
2023 (6)
2022 (2)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$7.79BKey Investors
SoftBankSCALE AINovartis
2021-08-04Post Ipo Equity· $5B
2020-12-07IPO
2020-05-06Post Ipo Equity· $0.5M
Leadership Team
Alan Hippe
Member of the Executive Board - Group CFO
Christine Bakan
Global Head and VP of Software and Bioinformatics, Next Generation Sequencing
Recent News
2026-01-16
Pharmaceutical Technology
2026-01-13
Company data provided by crunchbase