At a Glance
- Tasks: Analyse data to drive drug design decisions and optimise delivery systems.
- Company: Isomorphic Labs, a pioneering AI company in drug discovery.
- Benefits: Hybrid working model, inclusive culture, and opportunities for impactful work.
- Other info: Collaborative environment with a focus on creativity and curiosity.
- Why this job: Join a team using AI to revolutionise healthcare and tackle global diseases.
- Qualifications: Strong stats background, Python and SQL skills, and experience in data science.
The predicted salary is between 60000 - 80000 £ per year.
Isomorphic Labs is applying frontier AI to unlock deeper scientific insights and accelerate drug discovery, aiming to treat and cure some of the world’s most devastating diseases.
About Iso
IsoLabs was launched in 2021 to build on the Nobel‑winning AlphaFold system and develop powerful predictive and generative AI models for drug design. Our interdisciplinary team combines expertise in drug discovery, machine learning, and data science.
Your impact
As a Data Scientist focused on platform analytics, you will work with Data Curators, Engineers, AI experts, and Drug Discovery scientists to drive the analytics that underpin our drug design engine.
What You Will Do
- Analyze business intelligence data to provide robust and insightful outputs that drive decision‑making across product, engineering, and research teams.
- Partner with engineering, product, and drug discovery teams to implement telemetry and traceability, ensuring we capture drug design intent and metadata effectively.
- Design and track key metrics (KPIs) to evaluate the efficiency of our drug design engine and progress toward long‑term goals.
- Conduct internal and external benchmarking on machine‑learning model performance and drug discovery processes.
- Identify bottlenecks in the end‑to‑end delivery system and optimize real‑world delivery.
- Collaborate with engineering to build an analytics layer that supports generalizable drug design and assesses model impact on success rates.
Skills and Qualifications
Essential
- Strong background in statistics and data analysis.
- Proficiency in Python and SQL, including experience with NumPy, SciPy, or Pandas.
- Proven experience in a data science or platform analytics role, ideally in a drug discovery company.
- Experience defining and measuring metrics for engineering or product performance (e.g., efficiency, bottlenecks, KPIs).
- Familiarity with the early drug discovery process.
- Ability to communicate complex data insights to engineers and scientists.
Nice to have
- Familiarity with data engineering concepts and experience running jobs on cloud‑based infrastructure.
Culture and values
We are guided by our shared values and foster an environment of curiosity, creativity, and care.
- Thoughtful: Thoughtful at Iso means curiosity, creativity, and care, driving rigorous, future‑making science daily.
- Brave: Brave at Iso embodies fearlessness, initiative, and integrity, essential for our ambitious challenges.
- Determined: Determined at Iso reflects confidence in our hypotheses and the urgency to deliver, because disease will not wait.
- Together: Together at Iso values connection and collaboration across fields, recognizing that transformation is a group effort.
Creating an Extraordinary Company
We value unique experiences, knowledge, backgrounds, and perspectives, harnessing them to achieve extraordinary impact.
Hybrid working
We follow a hybrid model and require you to come to the office 3 days a week (currently Tuesday, Wednesday, and one other day). If additional needs would prevent you from following this hybrid approach, please let us know when you are selected for a screening call.
Equal Opportunity
We are committed to equal employment opportunities regardless of sex, race, religion, nationality, disability, age, citizenship, marital status, sexual orientation, or other protected characteristics. If you have a disability or additional needs that require accommodation, please let us know.
Data Scientist (Analytics), London employer: Isomorphic Labs
Isomorphic Labs is an exceptional employer that champions a culture of curiosity, creativity, and collaboration, making it an ideal place for Data Scientists passionate about advancing drug discovery through AI. With a commitment to employee growth and a hybrid working model, team members enjoy the flexibility to balance their professional and personal lives while contributing to groundbreaking scientific advancements in London. The company values diverse perspectives and fosters an inclusive environment, ensuring that every voice is heard and every contribution is recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Analytics), London
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We think you need these skills to ace Data Scientist (Analytics), London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Isomorphic Labs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Isomorphic Labs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
