Data Strategy & Analytics Specialist at Genentech

Daly City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

181700.0

Posted On

25 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics Planning, Data Integration, Data Harmonization, Analytic Execution, Data Lineage, Data Quality, Metadata Tagging, Clinical Data Systems, Problem Solving, Critical Thinking, Communication Skills, Team Collaboration, Independent Thinking, Strategic Agility, Cultural Respect

Industry

Biotechnology Research

Description

The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. This role is based in the Real-World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision-making and evidence-generation within Roche Product Development. We develop and implement data strategies that unlock the value of clinical, operational, and real-world data to accelerate evidence generation, decision-making, and innovation across PD and beyond. By embedding FAIR principles, advancing data governance, and enabling data productization, RWCDS ensures that data is not only findable and usable, but also a driver of scientific rigor, regulatory readiness, and AI-powered transformation. Through deep partnerships with internal functions and external collaborators, we shape a future-ready data ecosystem that supports personalized healthcare and efficient drug development. The Opportunity: The Data Strategy & Analytics Specialist contributes to the design and execution of data strategies and analyses that enable decision-making and insight generation across a therapeutic area or molecule portfolio. Working under the Data Strategy & Analytics Lead, you will partner with cross-functional teams to align data strategy with clinical and translational goals, identify key data assets, and support the delivery of integrated evidence plans. You will also contribute to the translation of scientific and business needs into analytical frameworks and data-driven solutions. This role demands a strong foundation in data science, analytics planning and execution, and an ability to bridge scientific questions with practical data solutions. You assist in documenting data strategies and requirements for programs and therapeutic areas You support data integration and harmonization efforts by applying templates and standard protocols You contribute to analytic execution for use cases leveraging multi-modal data sources across real-world, clinical, and operational domains You contribute to mapping exercises and data lineage documentation to support reuse and data quality You analyze data structure and support the standardization of terminology and metadata You collaborate with team members and internal partners to maintain structured and accessible data assets Who you are: You hold a Bachelor’s or Master’s degree in Informatics, Life Sciences, Computer Science, or a related field You have 2+ years of experience working with structured data in a research or healthcare setting You have basic knowledge of R or Python You understand data dictionaries, mappings, or metadata tagging You are familiar with data systems used in clinical or operational settings You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain You demonstrate respect for cultural differences when interacting with colleagues in the global workplace You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language Preferred Qualifications: Exposure to healthcare data models or clinical trial datasets Experience working in a matrixed or agile team environment Relocation benefits are not available for this posting The expected salary range for this position based on the primary location of California is $97,900.00 - $181,700.00 USD Annual. 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 #PDDT #PDDSSF 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.

Responsibilities

The Data Strategy & Analytics Specialist contributes to the design and execution of data strategies and analyses that enable decision-making and insight generation. This role involves collaborating with cross-functional teams to align data strategy with clinical and translational goals and supporting the delivery of integrated evidence plans.