Data Scientist

About Aqemia

Aqemia is a next-generation pharmaceutical company generating one of the fastest drug discovery pipelines in the world. Our mission is to develop groundbreaking, fast-acting drug candidates for scores of severe diseases. What sets us apart is our proprietary quantum mechanical and statistical algorithms that power generative artificial intelligence to design new drug candidates.

The velocity and precision of our technology platform allows us to scale drug discovery projects as technology projects.

We’ve grown to a team of over 45 highly motivated and spirited individuals standing at the intersection of Chemistry, Machine Learning, Physics, and Software Engineering.

We are proud to announce that we've raised $12 million from leading VCs.

If this sounds exciting to you, come and join us!

Data Scientist

The difference you’ll make

The team's main objective: harness vast volumes of data coming from multiple scientific disciplines to identify new drug opportunities.

Our Data team:

  • Designs, builds and runs our stack, processing large volumes of complex data of various types (chemical, biological, medical…),
  • Puts together this wide, complex knowledge in innovative ways (e.g. in a Knowledge Graph),
  • From these wide and deep data, extract novel insights, encompassing chemistry and biology complexity, to steer our de novo drug discovery pipelines.

To deliver this impactful and exciting challenge, the data team leverages multiple expertises: 

  • A strong understanding of drug design, chemistry and biology, 
  • Data and software engineering, 
  • Data science.

Job description

We are looking for Data Scientists combining both machine learning and coding skills to join our Data Team:

  • Able to design and train cutting edge machine learning models - such as Knowledge Graphs - to identify Aqemia's next targets, 
  • Keen to tightly collaborate with data and software engineers to build and maintain models in production in a robust and scalable way,
  • Eager to grow and learn in both your expertise but also in fields that are core for Aqemia: chemistry, physics and biology.

What You’ll Do

  • Propose and build relevant algorithms for our Knowledge Graph to rank targets with respect to their biological importance and assess their suitability to progress as drug targets.
  • Discuss database structural necessities with our engineers based on our modeling, applications and programming
  • Contribute to identify and import new sources of Data that will feed our Knowledge Graph with the help of Aqemia's scientists
  • Tightly collaborate with Aqemia's engineers to deliver and maintain machine learning models in production

Who You Are

You have strong abilities in machine learning and programming combined with a passion for delivering results. You have a high degree of ownership and a drive to solve some of the most challenging data science and analytic problems in drug discovery. In addition to your technical skills, you possess strong written and verbal communication skills and a high intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as changes arise.

Our Workplace Environment

  • Fast-paced, intellectually and scientifically demanding, results-driven.
  • Our Founders boast

- 10+ years experience in research at Ecole Normale Supérieure in Paris, not to mention a stint in Oxford and Cambridge.

- 10+ years experience in strategy consulting at BCG.

  • Aqemia has a rapidly growing team of +40 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG)
  • Our premises are conveniently located in center of Paris (1 Bd Pasteur), with a possibility of up to 2 days of remote work.
  • Working language: English

Should you wish to apply for this position please send us your resume at

We are growing fast, if you feel that you don't fit this job description but you’re still excited to join, then please get in touch! 

Aqemia is an Equal Employment Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or any other basis under applicable law.