Machine Learning Scientist, Prescient Design

Full time contractor position (40h per week), up to 12 months

At Roche, we believe it is critical to deliver medical solutions now – even as we develop innovations for the future. We are passionate about transforming patients’ lives and we are fearless in both decision and action. And we believe that good business means a better world.

That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow.

Position

The Large Molecule Drug Discovery group within Prescient Design / (MLDD - Machine Learning for Drug Discovery) in
Roche/Genentech seeks exceptional researchers who have a demonstrated research background in machine learning and protein structural biology and design, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research.

The group provides a dynamic and challenging environment for cutting-edge, multidisciplinary research including access to heterogeneous data sources, close links to top academic institutions around the world, as well as internal Genentech Research and Early Development (gRED) and Pharmaceutical Research and Early Development (pRED) partners and research units. Our mission is to develop and apply machine learning methods in designing novel macromolecules. Researchers in this role will develop and apply new deep learning-based methods for large molecule property prediction and de novo generative design.

Responsibilities:

As a Machine Learning Scientist, Prescient Design, you will:

• Join Prescient Design and work with a group of talented AI/ML scientists & engineers, structural/computational biologists located in Belgrade, Serbia and hosted by Roche;
• Participate in cutting-edge research in ML, structural biology, and physics-based modeling applications to drug discovery and design;
• Collaborate closely with cross-functional teams and contribute to therapeutic development efforts across gRED & pRED to solve complex problems including developing models to predict antigen-antibody affinity and developability properties and to perform generative design of de novo macromolecules;
• Refine models and workflows by performing exploratory data analysis, interrogating scientific hypotheses, and rigorous model selection;
• Deliver deep learning based software solutions for accelerating drug discovery, design, and therapeutic development;
• Develop the team's culture;
• Write structured, tested, readable and maintainable code;
• Participate in code reviews to ensure code quality and distribute knowledge;
• Contribute to publications and present results at internal and external scientific conferences, workshops, and venues.
• Reference: AY6TgMU5lI6u-twHl32qASVhahVmqKTciXLSOuvvUIw.

Requirements & Qualifications

• Ph.D. or a Master’s degree with 3+ years of work experience in Computer Science, Computational Biology, Statistics, Applied Math, Physics, Chemistry, or related technical field
• Demonstrated experience with Python and deep learning libraries such as Pytorch and/or Jax, TensorFlow
• Excellent communication and collaboration skills with intense curiosity to bridge the field of machine learning and physics-based structural modeling
• Demonstrated research experience, including at least one first author publication or equivalent at the top machine learning conferences (e.g., ICML, ICLR, NeurIPS, etc.)
• Intense curiosity about the biology of disease and eagerness to contribute to scientific and computational efforts
• Prior experience or familiarity working with antibody sequence and structure would be considered as a plus
• Familiarity with experimental data from biology, immunology or related disciplines would be considered as a plus
• Experience in physics-based modeling tools i.e. molecular dynamics, docking or Rosetta would be considered as a plus
• Public portfolio of computational projects (available on e.g. GitHub) would be considered as a plus

Should you answer the above challenges and requirements with YES then this is the right position for you!

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.. 

We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche

Roche is an Equal Opportunity Employer