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Senior Data Scientist, Individualized Therapies

South San Francisco, California


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The Position

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work. 

 This position is part of the Pharma Individualized Medicines Team responsible for the process development, manufacture and supply of personalized immunotherapies in collaboration with our global partners. 

Job Summary: The Principal Data Scientist (DS) will be responsible for the following:

  

Data Analytics for Cell and Gene Therapies:  

  • Provides data science subject matter expertise in the planning and execution of cell and gene therapy projects that require advanced analytics methods, ensuring the maximum value is realized for data generated.

  • Enables the data science capability within the Pharma Technical Individualized Therapies group and proactively defines future opportunities where DS capabilities can be applied to result in practical, actionable solutions. 

  • DS will collaborate with other Data Analytics teams (Cell and Gene Therapy Industrialization, Development Sciences Informatics, PHC) to identify and provide project team perspectives and support where standardization, collaboration, automation or centrally owned frameworks can drive significant efficiencies or improve effectiveness. 

  • Leads capability building (training, tools, and advice giving) for teams where distributed data science talent is required. 

  • Actively participates in project-related activities, as well as Roche data science communities of practice, the Roche Advanced Analytics Network (RAAN), and external networks, to support a growing PT community where data scientists embedded in technical teams across the organization can come together to share best practices and enhance their skills. 



Key Responsibilities and Capability:

  • This position will own the vision and strategic plan for data science within PTDP. To do this, he or she is responsible for working across the PTD network to ensure that leaders are aware of and able to leverage the value that DS brings, working with other PTD functional leaders and other key stakeholders to understand their needs and to ensure that the resourcing and capabilities of the DS team are aligned with current and future needs. 

  • Possess a clear understanding of the rules pertaining to data security, access and privacy while being able to creatively address access solutions that allow for strong data analysis in a timely and robust way. 

  • Understand business priorities and shape team and capability action plans to maximize contributions to our mission & the broader Pharma vision 

  • Partner on service execution, performance, and platforms to ensure a high functioning data science environment within PTDP



Qualifications & Experience 

  • PhD or Master's degree in Statistics, Data Science, Mathematics, Physical Sciences or related field is required. Bachelor’s degree may be considered sufficient for applicants with more extensive work experience.

  • Hands-on work experience with large complex data sets, programming languages such as R, Python or SQL and Big Data technology, statistical modeling, and translation of results to a non-technical audience preferred.

  • Familiarity with diverse data sources including bioinformatics/sequencing data, longitudinal patient level data, manufacturing process data.

  • Considerable experience and expertise with statistical modeling, analysis and presentation of results to a non-technical audience  

  • Demonstrated skill with translating complex technical analyses and concepts into business stories for non technical audiences 

  • Demonstrated experience creating a vision and strategic plans that influence department initiatives 

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

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Who We Are

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.

Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

The next step is yours. To apply today, click on the "Apply for this job" 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.


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