South San Francisco
California, United States of America
The PHC Data Science Imaging group seeks a talented and motivated Imaging Data Scientist to join us in supporting the efforts of the Personalized Healthcare (PHC) Group. To aid in the development of novel imaging biomarkers in PHC and their potential use in clinical drug development, the RWD Imaging Group at Roche is responsible for generating and executing plans to: (1) curate and analyze clinical imaging data from Roche’s late stage (Ph3) clinical trials, and (2) devise plans to gain access to (and analyze) clinical imaging data from a RWD setting (e.g., health registries, hospital systems, etc.).
The position requires extensive cross functional collaborations working with a diverse team of clinical subject matter experts, data- and imaging scientists, statisticians, and IT staff. Your responsibilities will primarily support image analysis efforts within the group, focusing especially on applying Machine- and Deep Learning approaches to oncology-, neuroscience-, and ophthalmology projects. In addition to developing and applying novel, data-driven approaches to solving RWD image analysis challenges, the position requires the Imaging Data Scientist to work closely with clinical imaging data management group to deploy, maintain and integrate computational solutions. The job will utilize and build on your experience in scientific/medical imaging, data and image management, application of novel statistical and machine learning approaches to `big data’, software development, and scientific data transfers.
Collaborate with internal imaging- and data scientists and external vendors to derive and validate novel imaging biomarkers in support of clinical drug development and RWD evidence (payer support) generation
Identify and gain access to external RWD imaging data sources
Curate/clean/organize large and messy clinical imaging datasets
Identify and support imaging data management solutions within PHC
Continually search for opportunities to automate workflows and streamline processes
Support and contribute to the development of advanced analytics and computational tools
Proficient in at least two scripting languages such as Python, Matlab, R, Perl, etc.
1+ years of data science experience.
PhD or MS in quantitative field (eg mathematics, statistics, computer science, EE, etc.), and/or adv. Life Sciences degree with significant computational experience
Documented experience with Machine Learning, Deep Learning, and statistics
Solid understanding of medical image formats (ie DICOM)
Experience with database applications
Excellent communication skills
Ability to multitask and prioritize while maintaining efficiency and quality of work
Internally motivated with a commitment to accuracy and quality
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.
These are our stories - stories of the obstacles and opportunities that define and celebrate the unique people at Genentech