About the team you’ll join 🤼‍♀️

Aqemia’s ambition is to discover better and more innovative therapeutic molecules faster:

- Better molecules because our physics-based technology has unparalleled precision.

- More innovative molecules because we don’t rely on past data, we’re not stuck to staying close to what already exists.

- Faster because our precision implies less experiments.

In a nutshell, we’re building a new type of massive, internal drug discovery pipeline.

We’re looking for a research intern to join our hit identification team and make an impact on a critical challenge: discovering drug candidates to cure key diseases.

You will work in an interdisciplinary environment with drug hunters, physicists, chemists and ML engineers.

Your internship should last at least 4-6 months, and can start anytime between January and June 2024.

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

Your role as a research intern at Aqemia 👩🏼‍💻

You will explore in depth a particular topic, all the way from literature review to testing your approach on proprietary data.

This will be linked to our internal pipeline of hit identification and virtual screening of large databases of molecules.

Your internship will touch on topics such as:

• Molecular modeling and especially benchmarking of molecular docking in the context of virtual libraries screening.

• Protein-ligand interaction energy calculations (ex. force-fields...).

• Effective sampling and scoring of 3D molecular conformations with/without machine learning.

The competencies we are looking for 🔍

• You are a Masters student in Organic Chemistry, Bioinformatics or Computer Science.

• Strong Organic or Theoretical Chemistry background.

• Ideally with hands-on experience in representation learning, generative models, reinforcement learning. 

• Eager to learn structural biology and modeling.

• Interest for complex data such as graphs, text, 3D objects / point-clouds. 

• With experience in reading academic papers and exercising critical thinking on results.

Nice to have:

Basic knowledge in chemoinformatics is a strong plus, but it is not required.

Preferred mindset

• You are passionate about solving difficult problems on topics that really matter, involving chemistry and biology.

• You are curious, willingful and dynamic.

• You want to grow and help others grow as well.

• You like working collaboratively in an interdisciplinary, fast-paced environment.

• You believe in silico/AI can have strong impact on how to find new drugs.

• You want to join a small team to bring your own impact in drug discovery.

About who we are and our workplace environment ✨

• We signed a contract with Sanofi of $140M to accelerate their drug discovery

• Our approach is completely unique in the industry as we use AI & deep physics to discover new drugs

• We are a team of +50 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG)

• 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.

• We are located in the center of Paris (1 Bd Pasteur), with a possibility of up to 2 days of remote work.

• We are part of the French Tech 2030 program (https://lafrenchtech.com/fr/la-france-aide-les-startup/french-tech-2030/).

• Our working language is English

• We work for a mission: joining us means bringing your own impact on changing the way medicines are discovered and be involved in shaping the direction of our fast growing business and team.

If you feel that you fit only 70% to 80% of this job description but you’re still excited to join, then please get in touch! 

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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.