Computational Biology Researcher

About Scala

Scala Biodesign is a biotech startup pioneering computational protein design platforms that power the next generation of protein design. Rooted in over a decade of research at the Weizmann Institute of Science, Scala’s technology is trusted by seven of the world’s top twenty pharmaceutical companies and by global leaders in chemical production to design enzymes, complex drug targets, and antibodies. The technology has also designed a Malaria vaccine candidate now in phase II in clinical trials.

Our platforms fuse physics-based modeling, AI, and evolutionary data and have been shown in numerous cases to optimize key properties such as potency, manufacturability, and stability under industrially relevant conditions, delivering major performance gains in a single design round and significantly reducing experimental costs.

About the Role

We are looking for a computational biology researcher to join our multidisciplinary team of structural biologists, computational biologists, protein engineers and software engineers. As part of Scala’s research team, you will play a key role in shaping the next generation of Scala’s computational design platform, also providing hands-on biological, algorithmic, and data-driven support for ongoing protein-design projects.

Key Responsibilities

• Design, prototype, integrate and test new components into Scala’s computational pipeline.
• Explore and extend Scala’s technology into new application areas within protein engineering.
• Support Scala’s ongoing protein design projects with algorithmic and analytical expertise.
• Incorporate state-of-the-art machine learning models for structure prediction, scoring, and design.
• Stay current with advances in computational biology, protein modeling, and AI-based design methods.

Qualifications

• Advanced degree (Master’s or PhD) in Bioinformatics, Computational Biology, Physics, Mathematics or equivalent.
• Proficiency in python.
• Strong algorithmic thinking and problem-solving skills, with the ability to translate theoretical ideas into practical solutions for real biological challenges.
• Highly responsible with great attention to detail.
• Strong communication and collaboration skills.
• Fast learner and proven ability to master new domains.
• Advantage: Experience working with biological (wet lab) data and its interpretation.
• Advantage: experience with Rosetta modeling, protein design AI-models (MPNN etc) or protein structure prediction models (Alpha-Fold, Boltz etc).
• Advantage: general grasp of AI models’ capabilities and limits.

How to Apply

Please send your CV to [email protected]

Website & LinkedIn

https://www.scala-bio.com/

https://www.linkedin.com/company/scala-biodesign