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- Tasks: Optimise virtual screening and lead interdisciplinary projects in drug discovery.
- Company: AQEMIA, a pioneering drug invention company transforming medicine.
- Benefits: Competitive salary, flexible work arrangements, and collaboration with top talent.
- Why this job: Make a real impact on drug discovery and tackle complex scientific challenges.
- Qualifications: PhD with 8+ years in Data Science or related fields and strong Python skills.
- Other info: Join a world-class team at the forefront of AI and life sciences.
The predicted salary is between 54000 - 84000 £ per year.
Overview
AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI, our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles.
What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules, without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies. Our most advanced preclinical programs are currently in vivo optimization, targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives.
The Role
- You will join the Rocket Launcher team, which is dedicated to hit identification.
- Your role is to optimise virtual screening and hit optimisation pipelines using a multidisciplinary approach.
- You’ll collaborate across scientific domains and lead cross-functional projects to integrate cutting-edge computational technologies.
- Evaluate and test virtual screening and hit optimisation pipelines for scientific effectiveness.
- Align computational strategies with team objectives and drug discovery goals.
- Lead interdisciplinary projects across physics, chemistry, data science, and ML teams.
- Apply in-depth statistical (bayesian optimisation) and exploratory data analyses to improve pipeline performance.
- Identify technical gaps and develop custom solutions.
- Contribute to best practices in data analysis, coding, and screening workflows.
- Stay current on literature and recommend improvements in virtual screening and hit optimisation.
- Advise stakeholders on the technical feasibility and impact of proposed approaches.
- Actively participate in planning analyses and identifying priorities and dependencies.
What we’re looking for
- PhD or equivalent with 8+ years in Data Science, Physics, Computational Chemistry, or related fields.
- Strong Python programming skills.
- Deep experience in scientific data analysis, ideally in life sciences.
- Solid understanding of statistical methods, bayesian optimisation and exploratory data analysis.
- Demonstrated experience leading multi-team scientific initiatives.
Nice-to-Have:
- Familiarity with tools like RDKit, OpenMM, or SMILES or experience with molecular simulation data.
- Knowledge of high-performance computing or cloud environments.
Preferred Mindset
- Pragmatic and Impact-Driven - Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability.
- Eagerness to Learn - A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.
- Love for High Scientific Challenges - Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.
- Team-Oriented - A collaborative spirit, thriving in an interdisciplinary environment.
- Humility - Open to feedback and different perspectives, always striving for improvement.
Polite note: UK visa sponsorship not currently available for this role at this time.
Why Join Us?
- At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.
- Expanding Drug Discovery Pipeline: Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.
- World-Class Interdisciplinary Team: work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation.
- DeepTech Recognition: AQEMIA is proud to be part of the French Tech 120 and France 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.
- Prime Location with Flexibility: Our offices are located in the heart of Paris and London (King’s Cross), with flexible work arrangements including up to two remote days per week.
- Strong Financial Backing: $100M raised from leading European and International investors.
Senior Data Scientist employer: Aqemia
Contact Detail:
Aqemia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn, especially those at AQEMIA. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding AQEMIA's mission. Show them you’re not just a data whiz but also passionate about drug discovery!
✨Tip Number 3
Don’t shy away from showcasing your projects! Bring examples of your work to interviews, especially those that highlight your experience with Python and statistical methods.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining AQEMIA.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your Python programming skills and any relevant experience in scientific data analysis, especially in life sciences.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about drug discovery and how your background makes you a great fit for AQEMIA. Don’t forget to mention your eagerness to learn and tackle high scientific challenges!
Showcase Your Projects: If you've led interdisciplinary projects or have experience with tools like RDKit or OpenMM, make sure to include these in your application. We love seeing real-world applications of your skills!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people in our recruitment team.
How to prepare for a job interview at Aqemia
✨Know Your Stuff
Make sure you brush up on your knowledge of drug discovery and the specific technologies AQEMIA uses, like QEMI. Familiarise yourself with concepts like virtual screening and hit optimisation, as well as statistical methods like Bayesian optimisation. This will show that you're not just a data scientist, but one who understands the unique challenges in the life sciences.
✨Showcase Your Collaboration Skills
Since this role involves leading interdisciplinary projects, be ready to discuss your experience working with teams across different scientific domains. Prepare examples of how you've successfully collaborated with chemists, physicists, or other data scientists to achieve common goals. Highlighting your team-oriented mindset will resonate well with AQEMIA's culture.
✨Demonstrate Problem-Solving Abilities
Think of specific instances where you've identified technical gaps and developed custom solutions in your previous roles. Be prepared to discuss your approach to tackling complex problems, especially those related to data analysis and coding. This will showcase your pragmatic and impact-driven mindset, which is highly valued at AQEMIA.
✨Stay Curious and Open-Minded
AQEMIA values a love for high scientific challenges and an eagerness to learn. During the interview, express your curiosity about recent advancements in AI and drug discovery. Ask insightful questions about the company's future projects and how they align with your interests. This will demonstrate your enthusiasm and willingness to grow within the role.
