Full Job Description
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.
PhD in a quantitative data science discipline (e.g., statistics/ biostatistics, computer science, mathematics, epidemiology, bioinformatics, computational biology, outcomes research, public health, biology, medicine, psychology)
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 observational research, epidemiology and patient-level data analyses (e.g., electronic health records, surveys, clinical trials, registries, claims, and digital health data) with publications and presentations
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 desired
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
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 . Job Facts JOB FUNCTION
Modelling & Simulation COMPANY/DIVISION
Full time JOB TYPE