Senior Data Sciences Product Leader

Senior Data Sciences Product Leader

Genentech, Inc. seeks a Senior Data Sciences Product Leader at its South San Francisco, CA location.

Duties: Identify, design and execute fit for purpose data management solutions, adhering to F.A.I.R. (Findable, Accessible, Interoperable, Reusable) principles for medical science uses. Develop systems for organizing data to analyze, identify, and report trends. Work in data life-cycle management right from acquisition through curation of clinical data for use in exploratory research, clinical development and evidence generation. Design, document, test and implement clinical data studies for novel drug therapies. Work on non-study/molecule-enabling projects that aid in improving the quality and efficiency of data acquisition, processing and analysis processes during clinical trial lifecycle. Develop risk management strategies and proactively manage timelines to ensure successful oversight and delivery of studies, projects and coding responsibilities, including the implementation and adoption of new technologies. Ensure a high quality of data and compliance with applicable pharma industry regulations and standards. Organization and integration of data collected from various sources. Analyze the interrelationships of clinical and non-clinical data and define logical aspects of datasets. Collaborate with stakeholders to understand their data insight needs and offer Data Management solutions. Use data surveillance tools and strategies to provide aggregate level reviews designed to identify patterns and anomalies in the data to ensure high quality results. Demonstrate a strong understanding of the data flow from collection through to analysis prepare reports of clinical trial studies for internal validation and cross validation studies for filing to health regulatory authorities like U.S Food and Drug Administration and European Medicine Agencies. Develop data transfer agreements with vendors ensuring use of standards, fit-for-purpose data models and transfer intervals. May telecommute 1 day per week.

Education and experience required: Master's degree in Bioengineering, Biomedical Engineering, Electrical and Computer Engineering or closely related field.

Special Requirements: Must have academic coursework or industry experience with each of the following:

• Programming in Python and R in order to process clinical, real-world data and operational data;
• Using R, Python and Statistical Machine Learning to create insights through advanced data analytics;
• Data Modeling to create visualizations to aid in the processing of multiple data types from multiple sources;
• Performing computational science using mathematical models, computer simulations, information and signal processing, and statistical analyses.

May telecommute 1 day per week.

Worksite: 1 DNA Way, South San Francisco CA, 94080

The expected salary range for this position based on the primary location for this position of South San Francisco CA is $177,360 to $218,400. Actual pay within the range 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.

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.

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