Computational Chemist

Compensation : Competitive (plus equity commensurate with experience)

About us

Bindbridge is pioneering sustainable agriculture through artificial intelligence (AI)-powered molecular glue discovery. With backing from leading venture capitalists including Speedinvest and Nucleus Capital , we are building a computational platform to bring targeted protein degradation to agriculture. Our first goal is to discover herbicides that revolutionise crop protection while minimising environmental impact.

The role

We are seeking a computational chemist to join our team and play a pivotal role in developing our molecular discovery platform. You will work at the intersection of computational chemistry, AI, and agricultural innovation, helping solve some of the world's most pressing food security challenges.

Key responsibilities

Lead molecular design projects using computational chemistry and AI tools to identify novel molecular glues for agricultural applications.

Apply structure-based design techniques, including molecular docking, molecular dynamics simulations, and free energy calculations, to optimise protein-protein-ligand interactions.

Design and execute virtual screening campaigns (ligand- and structure-based) to identify hit compounds from large chemical libraries.

Collaborate with AI engineers, biologists, and medicinal chemists to advance integrated discovery programs.

Develop computational workflows and predictive models to improve molecular design efficiency and success rates.

What you will bring

PhD (or equivalent significant industry experience) in computational chemistry or a related field.

Proven track record in molecular design projects that progressed to experimental validation.

Expertise in molecular modelling including protein-ligand docking, molecular dynamics simulations, and free energy calculations.

Familiarity with protein structure and ligand datasets (e.g. PDB, PLINDER, ChEMBL, PubChem, Enamine, ZINC).

Proficiency with computational chemistry software (e.g. AutoDock Vina/Smina, Rosetta, OpenMM, GROMACS, RDKit, Schrödinger, OpenEye, MOE, PyMOL).

Experience scripting in Python and working with scientific libraries or pipelines (e.g. pandas, scikit-learn).

Strong understanding of structure-based design and protein-protein interactions.

Nice to have

Experience with ubiquitin-based protein degradation technologies such as proteolysis targeting chimeras (PROTACs) or molecular glues.

Background in agricultural chemistry or crop protection.

Experience with AI applications in molecular design or cheminformatics.

Familiarity with cloud computing platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).

Strong publication or patent record.

Competitive salary plus equity commensurate with experience.

Fully remote work arrangement with quarterly in-person team meetings.

Support for conference attendance, publications, and patent filings.

Be part of a founding team shaping a new era of AI-driven agriculture.

Contribute directly to global food security and environmental sustainability.

Join a culture that values curiosity, rigour, and speed. We believe in transparency, ownership, and teamwork across science and engineering.

If you want to apply computational chemistry at the frontier of AI and agriculture, you will thrive at Bindbridge.

Application process

Our process is designed to be clear, respectful of your time, and a good reflection of how we work:

CV review

We look for relevant expertise and motivation to join an early-stage, mission-driven team.

First interview

A conversation with a team member to learn more about your background and give you a chance to ask questions about Bindbridge.

Second interview (technical)

A deep dive into your computational chemistry expertise, including discussion of molecular design, modelling workflows, and screening approaches.

Final interviews

Broader conversations with the founding team, covering collaboration, problem-solving, and how you might approach building at the frontier of AI and agriculture.

References & offer

We check references, then move quickly to an offer if we are aligned.

Communicate clearly at every stage.

Look for your strengths, not just your gaps.

Be transparent with feedback and open to yours.