At a Glance
- Tasks: Join a dynamic data team to analyse and optimise drug design processes.
- Company: IsoLabs, a leader in drug discovery analytics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with experts in AI and drug discovery in an innovative environment.
- Why this job: Make a real impact on healthcare by driving insights that accelerate new medicine delivery.
- Qualifications: Strong stats background, coding skills in Python/SQL, and experience in data science.
The predicted salary is between 50000 - 70000 £ per year.
Requirements
- Strong background in statistics and data analysis
- Strong coding skills in Python and SQL including experience using data science toolkits such as 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 a diverse range of stakeholders, including engineers and scientists
- (Desirable) Familiarity with data engineering concepts and experience with running jobs on Cloud-based infrastructure
What the job involves
- This is an exciting opportunity to join the data team at IsoLabs
- You will work alongside Data Curators, Engineers, AI experts, and Drug Discovery scientists to drive the analytics that underpin our drug design engine
- As a Data Scientist focused on platform analytics, you will be responsible for capturing and analysing data to understand how our technology and drug design processes are performing
- You will provide the robust data science expertise needed to turn business intelligence into actionable insights, helping Product, Data, Engineering, Research, and Drug Discovery teams make the best possible decisions to accelerate the delivery of new medicines
- Analyze business intelligence data to provide robust and insightful outputs that drive decision-making across product, engineering, and research teams
- Partner with the 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 if we are building the most efficient drug design engine and progressing towards our 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 to optimize real-world delivery
- Collaborate with engineering to build an analytics layer that supports generalizable drug design and helps determine the impact of our models on success rates
Data Scientist (Analytics) in London employer: Isomorphic Labs
IsoLabs is an exceptional employer that fosters a collaborative and innovative work culture, where Data Scientists play a pivotal role in advancing drug discovery through data-driven insights. Located in a dynamic environment, employees benefit from continuous professional development opportunities, access to cutting-edge technology, and the chance to work alongside leading experts in the field. With a strong emphasis on teamwork and impactful contributions, IsoLabs offers a rewarding career path for those passionate about making a difference in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Analytics) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in drug discovery or analytics. Attend meetups, webinars, or conferences to make connections and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python, SQL, or any relevant data science toolkits. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data insights in simple terms, as you'll need to convey your findings to engineers and scientists who may not have a technical background.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team at IsoLabs. Make sure to tailor your application to highlight your experience in data science and drug discovery.
We think you need these skills to ace Data Scientist (Analytics) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong background in statistics and data analysis. We want to see your coding skills in Python and SQL shine through, so don’t hold back on showcasing your experience with data science toolkits like NumPy, SciPy, or Pandas.
Tailor Your Application:When applying, tailor your application to reflect the specific requirements of the Data Scientist role. Mention any relevant experience in a drug discovery company and how you’ve defined and measured metrics for engineering or product performance.
Communicate Clearly:We value the ability to communicate complex data insights effectively. In your application, give examples of how you've shared your findings with diverse stakeholders, including engineers and scientists, to demonstrate your communication skills.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our data team at IsoLabs.
How to prepare for a job interview at Isomorphic Labs
✨Know Your Stats
Brush up on your statistics and data analysis skills. Be ready to discuss how you've applied these in previous roles, especially in a drug discovery context. Prepare examples that showcase your ability to define and measure metrics effectively.
✨Show Off Your Coding Skills
Make sure you're comfortable with Python and SQL. During the interview, you might be asked to solve coding problems or explain your experience with data science toolkits like NumPy, SciPy, or Pandas. Practise coding challenges beforehand to boost your confidence.
✨Communicate Complex Insights
Prepare to demonstrate how you can translate complex data insights into understandable terms for various stakeholders. Think of examples where you've successfully communicated findings to engineers or scientists, and be ready to discuss the impact of those insights.
✨Understand the Drug Discovery Process
Familiarise yourself with the early drug discovery process and how analytics plays a role in it. Research IsoLabs and their approach to drug design, so you can speak knowledgeably about how your skills can contribute to their goals.
