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- Tasks: Lead the development of data science pipelines and methodologies in a dynamic start-up environment.
- Company: Exciting life science stealth start-up in Cambridge, focused on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team with a focus on cutting-edge technology and research.
- Why this job: Shape the future of biotech with your data science skills and make a real impact.
- Qualifications: Masters or PhD in a relevant field, strong data analysis experience, and Python programming skills.
The predicted salary is between 50000 - 60000 £ per year.
Take a lead role in shaping data science pipelines, platforms and methodologies.
This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated.
Examples of project work will include:
- Algorithm development for time series events
- Maintaining data analysis pipelines
- Implementing best-in-practice data analysis techniques
Requirements:
- Masters or ideally PhD in mathematics, science or similar.
- Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences).
- Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning.
- Ability to make sense of data within project context and company goals, so that insight can aid further research and projects.
- Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests.
- Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders.
- Any exposure to training ML models (neural networks) would be desirable.
This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow).
Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions.
Data Scientist (Platform Development) in Cambridge employer: ECM Selection Ltd.
Contact Detail:
ECM Selection Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Platform Development) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the life sciences and data science fields on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s goals. Be ready to discuss how your experience aligns with their needs, especially in building data platforms and methodologies. Practice common data science interview questions too!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
We think you need these skills to ace Data Scientist (Platform Development) in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your data analysis experience, especially in a scientific context, and don’t forget to mention your Python programming skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this start-up and how your background in data science can help shape their projects. Keep it concise but impactful!
Showcase Relevant Projects: If you've worked on any projects involving machine learning or data pipelines, make sure to include them in your application. This will demonstrate your hands-on experience and ability to contribute from day one.
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 this exciting opportunity in Cambridge!
How to prepare for a job interview at ECM Selection Ltd.
✨Know Your Data Science Stuff
Make sure you brush up on your data science methodologies, especially in areas like signal processing and machine learning. Be ready to discuss specific algorithms you've worked with and how they relate to the projects mentioned in the job description.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to talk about your experience with relevant libraries and tools. Bring examples of code you've written, and be ready to explain how you ensure it's maintainable and well-tested.
✨Communicate Like a Pro
You’ll need to explain complex data concepts to non-technical stakeholders, so practice simplifying your explanations. Think of examples where you've successfully communicated technical information to a diverse audience.
✨Be Ready for Flexibility
Start-ups often require adaptability, so be prepared to discuss how you've handled changing project scopes or roles in the past. Highlight your ability to thrive in dynamic environments and how you can contribute to building their data platform.