Cheminformatics and Machine Learning Engineer (SE5 or Contractor)

We are seeking a highly motivated 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 Role

Implement cheminformatics and computational chemistry-based methods to support our Lab-in-the-Loop efforts for small molecule drug discovery.
Deploy and deliver technical solutions at the intersection of computational chemistry, software engineering, and machine learning, supporting small molecule design across broader gRED and Roche.
Closely collaborate with other scientists and researchers within Prescient to build impactful technologies for drug discovery research.
Build and scale machine learning techniques to massive datasets and aid in the deployment of novel machine learning algorithms with experimental collaborators.
Contribute to and drive publications, present results at internal and external scientific conferences, and help make code and workflows open source.

Desired Qualifications

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).
Excellent communication and interpersonal skills.
Highly-motivated and independent self starter that is eager to collaborate.
Expert in Python and experience with scientific software development for chemical modeling.
Experience with RDKit or OpenEye Toolkits.
Basic understanding of modern machine learning methods including predictive models, generative models, and active learning as applied to small molecule drug discovery.

Additional Qualifications

Candidates may additionally have, but are not required to have:
Public portfolio of projects available on GitHub
Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data
Demonstrated experience with modern Python frameworks for deep learning like PyTorch
Record of scientific excellence as evidenced by at least one first author publication in a scientific journal or machine learning conference
Record of machine learning research excellence as evidenced by publications in computer science and machine learning conferences (e.g. NeurIPS, ICLR, ICML).

This is the pay range that Magnit reasonably expects to pay for this position: $60.00/hour-$85.00/hour

Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met)

Magnit has an ongoing commitment to the diversity and inclusion of all team members. We believe that embracing diversity leads to innovation and helps address the needs of the business. We welcome individuals from different backgrounds, experiences, and cultures to join our team. We value this diversity and strive to create an inclusive environment that celebrates these unique perspectives, allowing you to contribute to your full potential. Finally, but most importantly, we expect all team members to be treated with dignity and respect.

If you have a disability and need an accommodation in relation to the online application process, please email us at Roche.Accommodations@magnitglobal.com