Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop data pipelines and methodologies for scientific applications in a dynamic start-up.
- Company: Innovative Cambridge-based start-up pushing the boundaries of molecular physics.
- Benefits: Competitive salary, hybrid working options, and a chance to shape scientific innovation.
- Other info: Join a growing team with excellent career development opportunities.
- Why this job: Make a real impact by transforming lab science into market-ready products.
- Qualifications: PhD in relevant fields and strong Python coding skills required.
Developing data analytic pipelines and novel methodologies for scientific applications. This hybrid-style role combines a healthy dose of data science analytics, scientific project understanding and Python software engineering. The role will work with experimental lab scientists to extrapolate key findings from their noisy data sets, developing reproducible processes to create software pipelines.
The company is a Cambridge based start-up, working on molecular physics-based problems with applications in synthetic biology. They are testing the boundaries of scientific innovation through their expertise and applied knowledge. Whilst projects are very much at the prototype stage, they have commercial awareness and experience to take their technology to market.
This is a key hire for the company, as the Research Scientist will play an important role from taking the science out of the lab and into a product platform. Initial projects will focus on computational analyses of time series data, developing relevant algorithms for event identification and characterisation, and support ongoing experiments and projects.
Requirements:
- Degree and PhD in physics, chemistry, bioengineering, or similar.
- Demonstrable project experience in data analysis applied to science areas such as electrochemistry, physiological measurements, or neurochemistry.
- Excellent Python coding skills and understanding of good software engineering processes (version control, repositories, testing etc).
- Understanding how to visualise data for academic and industrial reports.
- Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest.
As this is a start-up, the expectation is that the role would be fully onsite with occasional hybrid working when projects allow. Further, no company sponsorship is available, so interested candidates should have unrestricted rights to work in the UK (candidates holding visas with time restrictions will not be taken forward). On offer is the chance to work in a dynamic company as they begin their growth and be compensated with an excellent remuneration package.
Computational Research Scientist in Cambridge employer: ECM Selection Ltd.
Contact Detail:
ECM Selection Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Research Scientist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational research and data science. Attend meetups, webinars, or even local events in Cambridge to connect with potential employers and learn about unadvertised opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python coding and data analysis. This will give you an edge during interviews and demonstrate your hands-on experience in tackling real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data visualisation techniques. Practice coding challenges and be ready to discuss your thought process when solving problems related to scientific applications.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a range of exciting roles that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Computational Research Scientist in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python coding skills and any relevant project experience in data analysis. We want to see how you can apply your knowledge to real-world scientific problems, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that align with our focus on molecular physics and synthetic biology. It’ll help us see why you’re the perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
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 at our start-up!
How to prepare for a job interview at ECM Selection Ltd.
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analysis techniques relevant to the role. Brush up on your experience with time series data and be ready to discuss specific projects where you've applied these skills. This will show that you can hit the ground running.
✨Show Off Your Python Skills
Since excellent Python coding skills are a must, prepare to demonstrate your coding abilities. Bring examples of your work or even be ready for a coding challenge. Familiarise yourself with good software engineering practices, as they’ll likely want to see how you manage version control and testing.
✨Understand the Science Behind the Data
This role requires a solid understanding of scientific applications, so brush up on your knowledge of molecular physics and related fields. Be prepared to discuss how your background in physics, chemistry, or bioengineering can contribute to their projects and innovations.
✨Be Ready to Discuss Start-Up Culture
As this is a start-up, they’ll want to know if you can thrive in a dynamic environment. Think about examples from your past experiences where you’ve adapted quickly or taken initiative. Show them you’re excited about being part of a growing company and contributing to its success.