The Position
A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.
At Genentech Computational Sciences (gCS) Prescient Design, we are seeking a highly motivated Sr. Machine Learning Scientist to join Prescient Design within Genentech Research and Early Development (gRED) to help drive research on Machine Learning for Drug Discovery. The successful candidate will collaborate extensively with computational and experimental scientists and researchers across gRED to deploy and deliver machine-learning solutions for small-molecule drug discovery.
The Opportunity
You will help drive research on Machine Learning for Drug Discovery. The successful candidate will collaborate extensively with computational and experimental scientists and researchers across gRED to deploy and deliver machine-learning solutions for small-molecule drug discovery.
You will implement machine learning and computational chemistry-based methods to support our Lab-in-the-Loop efforts for small molecule drug discovery.
You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
You will closely collaborate with other scientists and researchers within Prescient to build impactful technologies for drug discovery research.
You will build and scale machine learning techniques to massive datasets and aid in the deployment of novel machine learning algorithms with experimental collaborators.
You will contribute to and drive publications, present results at internal and external scientific conferences, and help make code and workflows open source.
Who you are
You will have a BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (e.g. Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience (5+ years for BS, 3+ years for MS).
You will have a record of scientific excellence as evidenced by at least one first author publication in a scientific journal or machine learning conference.
You will have excellent communication and interpersonal skills.
You are a highly-motivated and independent self starter that is eager to collaborate.
You will be fluent in Python and experience with scientific software development for chemical or biological modeling
You will have experience in one or more cheminformatic and computational chemistry tools, including any of RDKit, OpenBabel, OpenEye Toolkits, and Schrodinger, etc.
You will have demonstrated experience with modern Python frameworks for deep learning like PyTorch
Preferred
Public portfolio of projects available on GitHub
Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data.
Record of machine learning research excellence as evidenced by publications in computer science and machine learning conferences (e.g. NeurIPS, ICLR, ICML).
#gCS
#tech4lifeAI
Relocation benefits are available for this posting
The expected salary range for this position based on the primary location of California is $165,200- 306,800. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors
Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.