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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: Flexible work arrangements, competitive salary, and strong financial backing.
- Why this job: Make a real impact on drug discovery with cutting-edge technology and a world-class team.
- Qualifications: PhD with 8+ years in Data Science or related fields, strong Python skills.
- Other info: Join a dynamic team at the forefront of AI and life sciences.
The predicted salary is between 36000 - 60000 £ per year.
About AQEMIA
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/Staff Data Scientist in London employer: Aqemia
Contact Detail:
Aqemia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Staff Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and achievements. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data science. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to 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 our team.
We think you need these skills to ace Senior/Staff Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior/Staff Data Scientist. Highlight your experience in data science, particularly in life sciences, and showcase any relevant projects that align with AQEMIA's mission of drug invention.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about drug discovery and how your skills can contribute to our innovative approach. Be sure to mention specific experiences that demonstrate your ability to lead interdisciplinary projects.
Showcase Your Technical Skills: Don’t forget to highlight your strong Python programming skills and any experience with tools like RDKit or OpenMM. We want to see how you’ve applied statistical methods and data analysis in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and helps us keep track of all candidates efficiently. Plus, it’s super easy!
How to prepare for a job interview at Aqemia
✨Know Your Science
Make sure you brush up on the latest advancements in drug discovery, especially around computational chemistry and data science. Be ready to discuss how your experience aligns with AQEMIA's mission of inventing new molecular entities and how you can contribute to their innovative approach.
✨Showcase Your Technical Skills
Prepare to demonstrate your Python programming skills and your understanding of statistical methods like Bayesian optimisation. You might be asked to solve a problem or analyse data on the spot, so practice coding challenges and be ready to explain your thought process clearly.
✨Highlight Collaboration Experience
Since the role involves leading interdisciplinary projects, be prepared to share examples of how you've successfully collaborated across different scientific domains. Discuss any past experiences where you led teams or worked with diverse groups to achieve a common goal.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your genuine interest in AQEMIA’s work. Inquire about their current projects, the technologies they use, or how they envision the future of drug discovery. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
