Informatics Analyst II, Development Sciences Informatics

Join a Team that Lives to Improve Lives
People come to Genentech from across disciplines and across the world to solve our most challenging medical conditions. You’ll find inspiration in our passion for biotechnology, our purpose to positively impact the lives of millions of patients and our dedication to our people. Joining Genentech means being part of a tradition of inquiry that will change the world. It means embracing our failures as much as our successes. It requires a willingness to look beyond the edge of what's possible. And a focus on doing the day-to-day work that makes great science happen.

The following opportunity exists in our South San Francisco, CA headquarters:

Informatics Analyst II,
Development Sciences Informatics

Description

We are seeking a talented and experienced informatics analyst to contribute to and help lead the biomarker data management efforts in Development Sciences Informatics (DevSci Informatics).

Development Sciences (DevSci) is a translational science organization that plays a critical role both in Genentech Research and Early Development (gRED) and late stage development of products at Roche. DevSci supports drug discovery and development projects across all therapeutic areas from discovery to launch (and beyond). We are poised at a unique time when large volumes of complex and varied internal and external data for DevSci areas, such as Biomarker, PK/PD, Diagnostics, Safety Assessment and Bio-analytical, need to be readily accessible to ensure that swift analysis, interpretation, and decision making can occur. These data impact decisions in ongoing preclinical and clinical programs, and provide key knowledge to inform new target discovery.

DevSci Informatics is accountable for leading the strategy and execution around data lifecycle management, data standards, analytics infrastructure, ongoing data operations and informatics systems. The data management team in DSI is focused on improving data quality and ensuring data are FAIR (Findable, Accessible, Interoperable and Reusable) through the development of new processes, standards, and solutions.

Major Responsibilities and Duties:

This role is responsible for contributing to and helping drive data life cycle management projects that enable the storage, organization, dissemination, and analytics of data in alignment with the scientific objectives of the Biomarker Development functional groups in the Development Sciences (DevSci) organization. In the process of performing this work, the candidate will collaborate extensively with scientists, research associates, operations managers, clinical data managers, data scientists/analysts, and vendor representatives. This position may or may not have direct reports.

• As a member of a diverse team of informatics professionals, lead planning and implementation efforts to provide informatics solutions and services around data management.
• Contribute to the establishment of cross-functional partnerships that ensure data accessibility, quality, and integrity.
• Ensure DevSci biomarker data is generated, received, cataloged, structured, and analyzed in a timely and efficient manner to meet the needs of data consumers.
• Participate in data governance, standardization, and curation initiatives across gRED.
• Ensure delivery of relevant informatics solutions to meet functional and corporate goals. Communicate learnings and best practices across the organization.
• Communicate strategies, ideas, goals and progress to the data management group and the DevSci Informatics department.
• Work extensively with biomarker scientists and biosample operations managers within DevSci, and collaborate frequently with clinical scientists, statisticians, and database specialists across the company.

Who You Are

• Bachelor’s degree with 6+ years relevant experience; or Master’s/PhD degree with 4+ years relevant experience; or equivalent experience. Degree in a scientific discipline preferred. Advanced degree a plus.
• Thorough understanding of R&D processes and scientific data life cycle. Evidence of business and technology acumen.
• Experience with the scientific data management strategy development and execution, and managing cross-functional scientific stakeholder relationships.
• Knowledge of the UNIX operating system, a scripting language (e.g., Perl or Python), and a statistical programming environment (e.g., R or SAS) is a must.
• Excellent knowledge of informatics and data management tools and techniques. Working knowledge with genomic data and biosample management a plus.
• Up to date knowledge of data technology trends and utilities in general, and in particular for pharmaceutical research and development.
• Familiarity with informatics systems, relational and non-relational databases, scripting languages, and data visualization tools.
• Working knowledge of scientific research applications development cycles, data management techniques and infrastructure requirements.
• Experience working with CROs and managing contract services is preferred.
• Excellent people and communication skills.

A Job with Benefits Beyond the Benefits
A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

The next step is yours. To apply today, click on the "Apply online" button.

Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page.

At Genentech, we share salary ranges with applicants during the recruiting process, if requested. Third party salary estimates may not be accurate or up-to-date.