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- Tasks: Develop data pipelines and methodologies for scientific applications in a dynamic start-up.
- Company: Exciting Cambridge-based start-up pushing the boundaries of molecular physics and synthetic biology.
- Benefits: Competitive salary, excellent remuneration package, and opportunities for growth.
- Other info: Fully onsite role with occasional hybrid working; no sponsorship available.
- Why this job: Join a pioneering team and turn lab science into impactful products.
- Qualifications: PhD in relevant fields, strong Python skills, and experience in data analysis.
The predicted salary is between 40000 - 50000 £ per year.
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.
Keywords: Data Science, Analytics, Python Development, Algorithms, Optimisation, Machine Learning, Life Science, PhD / Post-Doc, Start-Up.
Computational Research Scientist in Cambridge employer: ECM Selection (Holdings) Limited
Contact Detail:
ECM Selection (Holdings) Limited 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 opportunities that might not be advertised.
✨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 when discussing your experience with lab scientists and demonstrate your ability to develop reproducible processes.
✨Tip Number 3
Prepare for interviews by brushing up on relevant algorithms and methodologies. Be ready to discuss how you've applied data science techniques in past projects, particularly in areas like electrochemistry or neurochemistry. This will show you're not just a coder but also understand the science behind the data.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting opportunities, and applying directly can sometimes give you a better chance of landing that dream job. Plus, we’re here to help you every step of the way!
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 experiences that relate to molecular physics or synthetic biology, as we’re keen on candidates who understand our field.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for the Computational Research Scientist position.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from interested candidates.
How to prepare for a job interview at ECM Selection (Holdings) Limited
✨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
Prepare to demonstrate your Python coding abilities during the interview. Have examples ready that showcase your understanding of good software engineering practices, like version control and testing. You might even want to bring a small project or code snippet to discuss.
✨Understand the Science Behind the Role
Familiarise yourself with the scientific applications related to molecular physics and synthetic biology. Be prepared to talk about how your background in physics, chemistry, or bioengineering aligns with the company’s goals and how you can contribute to their innovative projects.
✨Be Ready for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, especially in relation to noisy data sets. Think through some scenarios where you had to develop algorithms for event identification and characterisation, and be ready to explain your thought process.