At a Glance
- Tasks: Join a dynamic team to analyse data and drive drug design insights.
- Company: IsoLabs, a cutting-edge 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.
Your impact
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, you will have the opportunity to work alongside experts in various fields, while benefiting from a hybrid working model that promotes both teamwork and flexibility. Located in London, IsoLabs offers a dynamic environment that values diversity and inclusion, ensuring that every team member can contribute meaningfully to the mission of delivering new medicines.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Analytics), London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at IsoLabs. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those related to data science and analytics. Share it on platforms like GitHub or your personal website to impress potential employers.
✨Ace the Interview
Prepare for your interviews by practising common data science questions and case studies. Be ready to discuss how you’ve used Python and SQL in real-world scenarios, and don’t forget to highlight your teamwork skills!
✨Apply Through Our Website
Make sure to apply directly through our website! It shows you're genuinely interested in joining IsoLabs and helps us keep track of your application. Plus, we love seeing candidates who take that extra step!
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 statistics, data analysis, and any relevant projects that showcase your skills in Python and SQL. We want to see how your background aligns 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 expertise can help us drive analytics at IsoLabs. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's a data science project or something related to drug discovery, we want to see how you've applied your skills in real-world scenarios. Don’t hold back!
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 shows us you’re keen to join our team at IsoLabs!
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 how you've used Python and SQL in past projects, especially with tools like NumPy, SciPy, or Pandas. 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 questions about defining and measuring metrics for engineering or product performance. Think of examples from your previous experience where you identified bottlenecks or optimised processes, and be ready to share those insights.
✨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.
