Scientist AI & ML for Protein and Antibody Engineering
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Job Location:
Basel - Switzerland
Monthly Salary:
Not Disclosed
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
At Roche you can show up as yourself embraced for the unique qualities you bring. Our culture encourages personal expression open dialogue and genuine connections where you are valued accepted and respected for who you are allowing you to thrive both personally and professionally. This is how we aim to prevent stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche where every voice matters.
The Position
Advances in AI data and computational sciences are transforming drug discovery and development. Roches Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies can accelerate R&D by leveraging data and novel computational models. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities.
The newly established Computational Sciences Center of Excellence (CS CoE) is a strategic unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to support scientists across pRED and gRED in delivering innovative medicines for patients worldwide.
The Opportunity
We are seeking a highly skilled Scientist with strong expertise in AI and Machine Learning applied to protein and antibody structure function and engineering. The successful candidate will work at the intersection of computational modeling modern AI technologies and biologics drug discovery applying and implementing state-of-the-art ML approaches to design and optimize therapeutic proteins and antibodies.
As a Scientist in the CS CoE you will leverage generative AI to accelerate antibody discovery working within a unified team spanning Genentech and Roche Pharma. This role offers a unique opportunity to bridge computational and experimental sciences and deliver transformative medicines to patients.
Apply novel Machine Learning and Computational Biology methods to address complex research questions in Large Molecule Drug Discovery (LMDD) with a focus on protein and antibodies
Develop implement and deploy discriminative and generative models (e.g. diffusion models LLMs) to predict structure affinity function of proteins
Collaborate closely with cross-functional teams to integrate and clean biological data from heterogeneous sources.
Design and engineer new de novo proteins and antibodies using state-of-the-art computational approaches for drug development purposes.
Collaborate closely with cross-functional teams to integrate curate and analyze biological data from heterogeneous sources.
Facilitate collaboration between experimental scientists and computational experts to maximize the impact of data and model sharing.
Contribute to scientific innovation through publications internal reports and presentations at internal and external scientific venues.
Who You Are
PhD in Computational Biology Protein Engineering Machine Learning Computer Science or a related discipline.
Expert-level understanding of protein and antibody structurefunction relationships enabling rational design and engineering decisions grounded in structural biophysical and functional principles.
Strong hands-on experience in machine learning and deep learning with the ability to independently develop train and evaluate models.
Proven ability to work at both application and implementation levels including adapting state-of-the-art models to drug discovery problems and modifying architectures or training strategies as needed.
Advanced programming expertise in Python and deep learning frameworks such as PyTorch TensorFlow or JAX applied to protein/antibody design.
Strong scientific track record including first-author publications in high-impact journals or conferences.
Excellent communication skills and a collaborative mindset with the ability to bridge computational and experimental disciplines.
Experience with molecular dynamics simulations is a plus.
Ready to take the next step Wed love to hear from you. Apply now to explore this exciting opportunity!
Who we are
A healthier future drives us to innovate. Together more than 100000 employees across the globe are dedicated to advance science ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities foster creativity and keep our ambitions high so we can deliver life-changing healthcare solutions that make a global impact.
Lets build a healthier future together.
Roche is an Equal Opportunity Employer.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
F. Hoffmann-La Roche AG is a Swiss multinational healthcare company that operates worldwide under two divisions: Pharmaceuticals and Diagnostics. Its holding company, Roche Holding AG, has bearer shares listed on the SIX Swiss Exchange. The company headquarters are located in Basel.
