Enjoy our team and embrace our shared philosophy and a strong work ethic.

Being part of our team means working in an innovative and creative company that offers new challenges every day. Starting a career with Tes Pharma means having an opportunity to improve the lives of millions of people affected by diseases without a cure.

Are you ready to put yourself to the test and contribute to improving the quality of patient’s life? We are always looking for talent and passion, two key characteristics to work in such a dynamic industry. Find out if we have open positions.

Current Open Positions

Research Scientist - CADD

About the job
Tes Pharma is a biotech company focused on delivering first-in class therapeutics for high unmet medical needs in oncology, metabolic, and renal diseases. Tes Pharma’s fully integrated scientific team translates expertise in multidisciplinary fields into the discovery of innovative therapies.
Your role will involve drug discovery initiatives including tasks such as target identification, druggability assessment, hit discovery and optimization. You will partner with research scientists from the Medicinal Chemistry, DMPK, and Biology. In your role you will employ a diverse set of CADD and ML techniques to support the progress of pre-clinical phase drug discovery projects.

Why Join Tes Pharma

  • Be part of an integrated drug discovery team that values innovation to tackle complex scientific challenges.
  • Contribute to the success of a company making meaningful contributions to first-in-class molecules identification to treat unmet medical needs.


  • Drive ligand-based, structure-based, and ML approaches in multiple drug discovery programmes designing innovative small molecules to enable and progress projects, from hit identification to lead optimisation.
  • Support design-make-test-analysis cycles in drug discovery projects by applying computational tools.
  • Support exploratory efforts to assess new target druggability.
  • Build, test, and use deep learning models for biological activity and ADME properties prediction.
  • Creatively solve project issues to ensure project objectives. Opportunity to be involved in decision making process in drug discovery teams.

Your Background

  • Ph.D. in Computational Chemistry, Cheminformatics, or related fields
  • 2+ years of industry experience, or 4+ years academic post-doc experience.
  • In depth knowledge problem-solving skills in computational chemistry and drug design.
  • Significant experience in applying molecular modelling to drug design.
  • Knowledge in building and applying ML/DL models.
  • Experience in managing proprietary data and mining public databases.
  • Understanding of the drug discovery process and good knowledge of related disciplines (DMPK, biology, tox).
  • Proficiency in computational chemistry software packages, including RDKIT, Desmond, and Schrodinger Suite.
  • Experience in using Knime is a plus.
  • Experience in programming / scripting in Python is a plus.
  • IT management (Linux environment) skill is a plus.
  • Excellent team player with a collaborative mindset and ability to work independently.
  • Strong organisation skills, attention to details, with strong critical thinking, analytical thinking and trouble shooting skills.
  • Excellent verbal and written communication skills and can communicate and present.
  • Fluency in written and spoken English.