Computational Biologist

Job Description

About the company:

Compugen’s extraordinary multidisciplinary team is one of its greatest assets. Our employees, coming from diverse backgrounds and bringing different perspectives, work together in an environment that fosters excellence, creativity, and openness.

Collaboration among experts from various disciplines is fundamental to our ability to develop unique predictive drug discovery solutions and to discover and advance novel therapeutic proteins and drug targets against cancer. This integration of expertise continues to be a key driver of our growth and enables us to fulfill our mission and business objectives. Our computational platform sits at the heart of everything we do, driving a growing pipeline of first-in-class immuno-oncology programs and fueling collaborations with leading pharmaceutical partners. We are a science-driven, collaborative organization where computational and experimental scientists work side by side to turn discovery into therapies that matter for patients.

About the role:

We are looking for a Computational Biologist to focus on Computational antibody design, playing a central role in the design and optimization of our therapeutics antibodies, while also conducting multi-omics analysis tasks within the group.

Responsibilities :

• You will: Work closely with our computational biologists’ multidisciplinary team and with the Antibody discovery functional unit
• Drive computational antibody design, applying state-of-the-art computational and AI models to design and optimize multispecific therapeutics antibodies
• Translate engineering concepts into experimentally validated candidates
• Act as a scientific liaison with external CROs on antibody design and optimization projects as needed
• Explore new methods that expand Compugen's computational antibody design capabilities, including making effective use of AI/ML-based tools
• Conduct end-to-end broader computational analyses including multi-omics datasets for target analysis, as needed
• Communicate scientific results and design rationale clearly to internal and external audiences

Requirements

• M.Sc. or Ph.D. in Bioinformatics/Computational Biology/Structural Biology/Protein Engineering, or a closely related field
• 3–5 years of relevant experience in the biotech or pharmaceutical industry
• Hands-on experience in computational methods for Ab developability and optimization: humanization, sequence liabilities, immunogenicity, structural and epitope predictions
• Proficiency in protein model tools (e.g., PyMOL)
• Familiarity with current, state-of-the-art AI based models for antibody design and sequence optimization
• Proficiency in a scripting/programming language for data analysis (e.g., Python), and experience working with foundational models and LLM-based coding agents
• Familiar with multi-omics datasets and analysis

Professional Attributes

• Strong communication and collaboration skills, and a positive, can-do attitude.
• Strong analytical and troubleshooting skills
• Ability to work independently while contributing effectively in a collaborative team environment
• Ability to work effectively in a dynamic, cross-functional research environment.
• Excellent written and verbal communication skills in English

Advantages

• Biochemistry background / structural biology
• Hands on experience in analyzing multi-omics biological data (e.g., scRNA, RNA-seq, proteomics)
• Knowledge of immuno-oncology and/or cancer biology
• Familiarity with public cancer atlases datasets (e.g., TCGA, GTEx ect)
• Track record of scientific publications