Senior Python Engineer, Aqemia
3+ days a week in office
AI and quantum physics driven drug discovery
Open for applications
AI and quantum physics driven drug discovery
21-100 employees
Open for applications
3+ days a week in office
21-100 employees
Company mission
To scale the drug discovery process, by leveraging a unique-in-the world technology combining quantum-inspired physics and machine learning.
Role
Who you are
- 5+ years of experience as a software engineer within an engineering organisation of 20+ engineers
- Knowledge of Cloud infrastructure and products (AWS, other cloud experience is a plus)
- You are experienced finding the right balance between quality and fast iterations
- Experience leading and delivering technical projects from start to finish
- You know how to interact with technical stakeholders
- Proficient in at least one object-oriented language, python is a plus
- Knowledge of Kubernetes
- Experience in designing and architecting complex software
- DevOps knowledge would be appreciated
Desirable
- You are eager to play an active role in contributing to Aqemia’s strategy to develop drugs for patients
- You are anxious to bring your wealth of knowledge and skills to the table to inspire and coach brilliant people from diverse backgrounds
- You are keen to solve tough problems on issues that truly matter
- You are inquisitive, and proactive with a can-do attitude
- You are excited to join a small team and make your mark on drug discovery
- You thrive on working collaboratively in a fast-paced, interdisciplinary environment that keeps everyone on track
What the job involves
- As a Software Engineer, you will join one of Aqemia's Engineering Team and contribute to design and build modern, reliable and scalable backends running complex biochemical simulations
- Design, build and evolve reliable and scalable services running biochemical algorithms
- Operate as a Technical Leader within an engineering team
- Contribute to engineering teams architecture and stack decisions process
- Be the go-to person, within your team software/backend design topics
- Contribute to define and set good coding practices within the engineering team
Application process
- 1 - Hiring Manager’s interview: you’ll meet directly with your future manager Aloÿs (1h, visio call)
- 2 - Technical assessment of your skills: live coding exercise in Python (45min, visio call)
- 3 - Technical assessment of your skills: system design collaborative exercise, plus a tour of our offices (1h, in office)
- 4 - Cultural fit interview with our co-founder and COO Emmanuelle (45min)
- 5 - Final interview with our co-founder and CEO Maximilien (45min)
Our take
The billion dollar drug discovery industry is set to see notable growth by 2032 with huge R&D investments being made. It’s generally accepted that this is one of the most important financed sectors in the world. Aqemia joined the discovery train in 2019 with its deep physics and AI enabled drug revelation pipeline.
The company boasts its intricate level of accuracy within its physics algorithms that are fed into AI discovery, leading to a level of speed and in turn scaling drug discovery at an impressive rate. Creating a name for itself Aqemia moves away from using experimental data and bases the AI powered outcomes on years of data and studies of its now impressive team of 50.
Aqemia’s discoveries have already made an impact in oncology and immuno-oncology trials. The company sets goals to be part of more life changing clinical trials with wholly or partly owned drug candidates and continues to scale its platform to continue wins in its research. It will be exciting to see how more research and collaborations like that with Servier (international pharmaceutical company) will continue to grow its success.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jan 2024
$31.6m
SERIES A
Oct 2022
$31.6m
SERIES A
Total funding: $75.1m
Company HQ
Necker, Paris, France
Articles
Leadership
Maximilien Levesque
(CEO)Currently a Board Member of France Biotech. Founded Personal HPC and worked through several roles at École normale supérieure most recently as a Research Group Leader.
Previous Principal at Boston Consulting Group after completing a Master of Science Imperial College of London.
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