Senior Research Investigator, (Biologics Pharmacology)

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life‑changing medicines with an ambition to solve all disease.

About Iso

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel‑winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world‑leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting‑edge capabilities to advance rational drug design.

Your Impact

We’re seeking a Senior Research Investigator specialising in biologics drug development to contribute to the pharmacology and translational biology strategy of our novel large molecule therapeutics, harnessing the transformative power of our cutting‑edge AI drug design engine.

What You Will Do

• Translational Biology Strategy: Design, execute, and oversee comprehensive pharmacology plans for our large molecule therapeutics.
• In Vivo & In Vitro Evaluation: Lead the design and execution of in vivo efficacy and complex in vitro functional assays to ensure high‑quality data generation.
• Drive Project Milestones: Act as the Biology Lead for assigned projects, coordinating complex internal workflows and external CROs to efficiently progress candidates toward critical go/no‑go decisions and program milestones.
• New Target Identification: Collaborate with computational biology and design teams to identify, evaluate, and bring new biologics projects into the portfolio, assessing biological feasibility and therapeutic potential.
• Collaborative Platform Building: Partner closely with interdisciplinary teams (ML, Biology, CompBio) to help build our generative AI platform, ensuring the pharmacology data you generate is effectively fed back into design loops, while collaborating to deploy these cutting‑edge tools to discover novel therapeutic strategies.

Essential Skills and Qualifications

• PhD in Immunology, Cancer Biology, Molecular Biology, Biochemistry, Pharmacology or a related scientific discipline.
• 5+ years’ professional experience in an industry role within a biotech or pharma setting.
• A strong scientific expertise in, and in-depth understanding of, disease models and their use in biologics drug development.
• A strong interest in applying the latest technological advances to better predict translation to patients.
• Significant experience in the design and execution of studies to support project progression in the field of biologics drug discovery and development.
• Experience within the immunology, inflammation or oncology therapeutic areas.
• A proficiency with modalities such as multi‑specifics or antibody drug conjugates (ADCs).
• Demonstrated proficiency in fostering and managing external collaborations with Contract Research Organizations (CROs) and world‑leading academic groups.
• A genuine passion and enthusiasm for applying AI/ML to drug design and how this can transform the field.
• Excellent communication (written and verbal) and interpersonal skills, with a proven ability to work effectively in a cross‑functional, collaborative team environment.
• Track record of creative problem solving of some of the most difficult problems in drug discovery, with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques.

Nice to Have

• Experience leveraging machine learning or computational biology techniques for biologics design and optimisation.
• Experience in antibody discovery, engineering, and optimisation strategies.
• In‑depth understanding of protein structure‑function relationships of antibodies.

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.