At a Glance
- Tasks: Analyse data to drive insights for drug design and improve decision-making.
- Company: Join IsoLabs, a pioneering company in drug discovery and analytics.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on knowledge sharing and career development.
- Why this job: Make a real impact on healthcare by optimising drug design processes.
- Qualifications: Strong stats background, coding skills in Python and SQL, and data analysis experience.
The predicted salary is between 50000 - 70000 £ per year.
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.
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 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.
Skills and qualifications
Essential:
- 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.
Nice to have:
- Familiarity with data engineering concepts and experience with running jobs on Cloud-based infrastructure.
Hybrid working
It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.
Equal Employment Opportunity
We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Data Scientist (Analytics), London employer: jobr.pro
IsoLabs is an exceptional employer that fosters a collaborative and innovative work culture, where Data Scientists play a crucial role in advancing drug discovery through analytics. With a strong emphasis on employee growth, we offer opportunities to work alongside experts in various fields while benefiting from a hybrid working model that promotes both teamwork and flexibility. Located in London, our commitment to equal employment opportunities ensures a diverse and inclusive environment, making IsoLabs a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Analytics), London
✨Tip Number 1
Network like a pro! Reach out to current employees at IsoLabs on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've used Python and SQL in past projects, especially in drug discovery contexts. Show us what you've got!
✨Tip Number 3
Don’t forget to showcase your communication skills! Practice explaining complex data insights in simple terms. We want to see how you can bridge the gap between data science and the teams you'll be working with.
✨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 our team at IsoLabs.
We think you need these skills to ace Data Scientist (Analytics), London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant data science projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about drug discovery and how your background in analytics can help us drive impactful decisions. Keep it engaging and personal!
Showcase Your Data Skills:In your application, don’t forget to mention specific tools and methodologies you’ve used in your previous roles. We love seeing practical examples of how you've turned data into actionable insights!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at jobr.pro
✨Know Your Data Inside Out
Make sure you brush up on your statistics and data analysis skills. Be prepared to discuss specific examples of how you've used Python and SQL in past projects, especially in a drug discovery context. This will show that you can hit the ground running.
✨Understand the Drug Discovery Process
Familiarise yourself with the early drug discovery process and how analytics plays a role in it. Being able to speak knowledgeably about this will impress the interviewers and demonstrate your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions related to metrics, KPIs, and bottlenecks in data processes. Think of scenarios where you've identified and solved these issues before, as real-world examples will make your answers more compelling.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You’ll need to communicate effectively with engineers and scientists, so being able to break down your findings will be key to showcasing your collaborative spirit.
