Senior Data Scientist - Omics and Imaging Personalized Healthcare (PHC)

South San Francisco
California, United States of America

Return to Search Results

The Position

Personalized healthcare promises to bring the right drug to the right patient at the right time. In order to develop more effective medicines that better target specific disease mechanisms at play in individual patients, we need to build high quality datasets and apply advanced analytics approaches to allow us to understand the unique characteristics of an individual’s disease and outcomes. Multimodal data in particular, consisting of different data types such as longitudinal clinical (EHR), genetic, imaging and digital data, is critical to capture distinct, complementary aspects of the patient’s disease journey. However, meaningful integration of these diverse types of data, and the translation of such data into actionable insights to advance drug development requires creativity, team work, an entrepreneurial spirit, openness to diversity, and an environment that stimulates thinking outside of the box. We, a diverse team of data scientists including geneticists, imaging experts, computer scientists, software engineers, statisticians, epidemiologists and coders are on a mission to realize the transformation to personalized healthcare through cutting edge multimodal analytics. Embark on our quest for personalized answers to allow us to truly understand disease heterogeneity and do now, what patients need next. 

Minimum qualifications

PhD in a quantitative data science discipline with knowledge of biology and clinical aspects (e.g. biostatistics, computer science, mathematics,bioinformatics, computational biology, biology, medicine) with 3+ years relevant work experience.

  • Strong collaboration skills and excellent communication skills and stakeholder management in a complex and ambiguous environment
  • Demonstrated entrepreneurial mindset and self-direction, ability to teach others and ability to learn new techniques
  • Creative, out-of-the-box thinker motivated to contribute to the future of healthcare
  • Expertise with the analysis of large-scale clinical RNASeq, metabolomics, WGS, WES and other types of -omics data
  • Strong experience with implementing a range of statistical modeling techniques (multivariate modeling, longitudinal data analysis, time-to-event analysis, machine learning, causal inference, etc.) as well as an understanding of advanced analytics applied to images, -omics or to integrated data sources
  • Experience with all steps of analysis and interpretation of clinical images (QC, preprocessing, segmentation and prediction) using state of the art methods (e.g., deep learning AI).
  • Some examples of developing and executing data science research projects involving medical imaging (Digital pathology, OCT, color fundus, MRI, PET, and/or CT) using traditional analytical methods as well as deep learning AI, and experience with integrating imaging results with patient-level data analyses (e.g., transcriptomics, metabolomics, WES/WGS, electronic health records, surveys, clinical trials, registries, claims, digital pathology, and digital health data) with publications and presentations
  • Fluency in statistical programming languages (R, Python etc.), experience producing interactive outputs (Shiny, R Markdown, etc.) and visualization tools.
  • Experience with technologies required to undertake analyses on large data sources or with computationally intensive steps (SQL, parallelization, Hadoop, Spark, etc.)
  • Experience implementing reproducible research practices like version control (e.g., using Git) and literate programming
  • Experienced in scoping projects and driving delivery in an evolving environment requiring proactivity and effective problem-solving and prioritization when faced with challenges
  • Proficiency in English, both written and verbal
  • Ability to travel internationally up to 10%



Who We Are

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.

Return to Search Results