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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 with a focus on innovation.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Other info: Join a fluid team where your contributions directly influence groundbreaking research.
- Why this job: Shape the future of data science in life sciences and make a real impact.
- Qualifications: Masters or PhD in mathematics or science, with strong data analysis experience.
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
- Awareness to write appropriate tests
Data Scientist (Platform Development) in Cambridge employer: ECM Selection
Contact Detail:
ECM Selection 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 industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to time series analysis or machine learning. This will give potential employers a taste of what you can do and how you think.
✨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 generating insights.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Scientist (Platform Development) in Cambridge
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let us see your enthusiasm for data science! Share specific examples of projects you've worked on, especially those that relate to algorithm development or data analysis in a scientific context. This will help us understand your genuine interest in the role.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this position. Highlight your experience with Python programming and any relevant libraries you've used. We want to see how your skills align with our needs, so don’t be shy about showcasing your best work!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
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 the role. Plus, it shows us you’re serious about joining our team at this exciting start-up.
How to prepare for a job interview at ECM Selection
✨Know Your Data Science Stuff
Make sure you brush up on your data science methodologies, especially those relevant to the life sciences. Be ready to discuss your experience with signal processing, classical algorithms, and machine learning. Prepare examples of how you've applied these techniques in past projects.
✨Showcase Your Python Skills
Since strong Python programming skills are a must, be prepared to talk about your coding experience. Bring examples of maintainable code you've written, and if possible, discuss how you’ve used libraries and tools relevant to data analysis. You might even want to do a quick coding exercise to demonstrate your abilities.
✨Understand the Company’s Goals
Research the company and its projects thoroughly. Understand their mission and how your role as a Data Scientist can contribute to their goals. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Be Ready for Dynamic Discussions
In a start-up environment, roles can change quickly. Be prepared to discuss how you handle fluid project requirements and adapt to new challenges. Share examples from your past where you've successfully navigated changes or taken on unexpected responsibilities.