Senior Bioinformatics Scientist – Protein Machine Learning

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

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.

We are seeking a highly motivated Senior Bioinformatics Scientist to join the Reagent Bioinformatics team in Roche Diagnostics Solutions to develop machine learning (ML) models for computational protein engineering. The successful candidate will collaborate with data scientists, bioinformaticians, protein engineers, and molecular biologists to create and continuously improve proteins and enzymes critical to our portfolio of reagents, assays, and instruments. 

The Opportunity

• Develop ML models to design and optimize proteins to achieve R&D project goals in cross-functional teams

• Benchmark the performance of deep learning models (e.g., language models, graph neural networks, diffusion models) across varied projects and datasets

• Streamline data preparation and the deployment, training and/or fine-tuning of ML models 

• Keep abreast of the latest developments in machine learning and integrate these methods into existing workflows, when appropriate

• Present and communicate project updates to diverse teams in the organization

Who you are

• You bring a minimum, 3 or more year’s of experience with a Ph.D. or equivalent experience in fields such as Computer Science, Machine Learning, Statistics, Biophysics, Computational Biology, Structural Biology, or related disciplines.

• Excellent programming skills in Python, proficiency with machine learning libraries like PyTorch and TensorFlow, and experience with version control systems such as Git.

• Demonstrated experience applying and training deep learning models to solve biological problems, with an emphasis on machine learning-based protein engineering.

• Experience in high-performance computing environments, particularly with distributed model training, and developing shared codebases.

• Strong written and verbal communication skills, with the ability to collaborate effectively across multidisciplinary teams and adapt communication for varied technical audiences.

Relocation Benefits are not available for this job posting.

#LI-HYBRID

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.

Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

Roche is an Equal Opportunity Employer.