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The Data Analytics Leader (DAL) is an expert in data visualization, data analysis and data insights, enabling the stakeholders to efficiently and effectively review and analyze data from internal studies and external published data. The DAL works directly with ECD Clinical disease area leads, Safety Scientists, and other line function colleagues to ensure that indication or disease specific scientific questions are explored thoroughly using creative data analysis and data visualizations through effective collaboration and innovation. The DAL is also responsible for aligning analytical data visualization and data analysis from other line functions.
Your primary responsibility as a Data Analytics Leader (DAL) will be to provide strategic and technical direction to drive the development and implementation of Early Clinical Development (ECD) data review and analytical data visualization at indication, program and study level. You will innovatively develop the tools and processes that are fit-for purpose and create maximum impact to the organization. You will continuously review opportunities to simplify, innovate and collaborate with experts within and outside of ECD to create efficiencies in support of our ECD vision. As a DAL, you will collaborate with cross functions to build the data review/visualization tools to meet the clinical stakeholder’s needs at portfolio level.
The DAL manages the implementation of medical data review and the analytical application tools (e.g., Spotfire® or RShiny) by providing training, and dedicated support. The DAL contributes to and drives ECD portfolio medical data review/visualizations that create high impact in ECD.
The Opportunity:
● Strategically uses the internal and external data, develops advanced data visualizations that fits for gRED early clinical development purpose.
● Acts as a main point of contact for Therapeutic Area (TA) leads or disease area leads with questions on specific disease area data exploratory analysis needs.
● Provides guidance and training and consultation for stakeholders on the analytical visualization tools.
● Collaborates within ECD and other line functions to align and simplify processes that prevent redundancy in analytics, and facilitate speed up the data driven decision.
● Creates derived datasets from raw clinical trial data to support statistical analysis and reporting.
● Writes detailed specifications for datasets, tables, and analyses based on clinical and regulatory requirements.
● Develops and maintains standard macros, reusable functions, and tools to improve efficiency and ensure compliance with industry standards.
● Uses strong technical expertise and skills to find opportunities for innovation, efficiency and simplification with the mindset of working smarter.
● Strong interpersonal skills and the ability to navigate in a complex, international, and matrixed environment.
Who You Are:
● Bachelor degree or higher or equivalent education in statistics, computer science, data science, or relevant technical discipline.
● Significant experience in clinical trial data analysis and data visualization in the pharmaceutical/biotech industry.
● Strong/thorough understanding of the data flow in the end-to-end drug development lifecycle.
● At least 5 years of experience in creating SDTM, ADaM, and developing TFL using SAS or R/RShiny.
● 2 years of experience with clinical data visualization tools, such as Spotfire®, tableau, or RShiny is a huge plus.
● Experience with IronPython and JavaScript in Spotfire preferred.
● Track record of establishing successful partnerships across the organizations.
● Excellent written and verbal communication skills and strong project management skills.
Relocation benefits are not available for this posting.
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
The expected salary range for this position based on the primary location of South San Francisco, California is $140,900 - $261,700. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. 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.
Benefits
#LI-JD1
#ECD
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.
Skills Required
- Bachelor degree or higher in statistics, computer science, data science, or relevant technical discipline.
- Significant experience in clinical trial data analysis and data visualization in the pharmaceutical/biotech industry.
- Strong understanding of the data flow in the end-to-end drug development lifecycle.
- At least 5 years of experience creating SDTM and ADaM datasets and developing TFL using SAS or R/RShiny.
- Experience creating derived datasets from raw clinical trial data and writing detailed specifications for datasets, tables, and analyses.
- Develop and maintain standard macros, reusable functions, and tools to improve efficiency and ensure compliance.
- Excellent written and verbal communication skills and strong project management skills.
- Onsite presence at South San Francisco campus at least 3 days per week.
- 2 years of experience with clinical data visualization tools such as Spotfire, Tableau, or RShiny.
- Experience with IronPython and JavaScript in Spotfire.
Genentech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genentech and has not been reviewed or approved by Genentech.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, mental health, and prescriptions, supported by HSAs/FSAs and broad wellness resources. On‑site fitness and health centers, mental‑health clinicians, and specialized programs like fully covered preventive cancer screenings and menopause support deepen the offering.
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Retirement Support — Retirement benefits feature a 401(k) with up to a 4% company match plus an additional annual 6% company contribution to eligible pay. Additional financial protections such as life and accident insurance complement salary, bonuses, and stock options.
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Leave & Time Off Breadth — Time away includes about 20 paid vacation days, paid holidays, personal days, and a year‑end shutdown. A paid six‑week sabbatical every six years notably expands long‑term time‑off flexibility.
Genentech Insights
What We Do
Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 40 years. Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal. Making a difference in the lives of millions starts when you make a change in yours.
