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- Tasks: Develop data analytic pipelines and methodologies for scientific applications.
- Company: Exciting Cambridge-based start-up pushing the boundaries of scientific innovation.
- Benefits: Competitive salary, hybrid working options, and a dynamic work environment.
- Other info: Be part of a growing company with excellent career development opportunities.
- Why this job: Join a pioneering team and turn groundbreaking science into market-ready products.
- Qualifications: PhD in relevant fields and strong Python coding skills required.
The predicted salary is between 45000 - 75000 £ 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 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
✨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! Brush up on your algorithms and data structures, and be ready to discuss your previous projects in detail. Practising coding challenges can also help you feel more confident when it comes to demonstrating your Python skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of standing out. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Computational Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Computational Research Scientist. Highlight your experience in data analysis, Python coding, and any relevant projects that showcase your skills in scientific applications.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background in physics, chemistry, or bioengineering makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects: Don’t just list your skills; show us what you can do! Include specific examples of projects where you've developed data analytic pipelines or algorithms, especially those related to time series data or machine learning.
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 our dynamic start-up environment.
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 like version control and testing, as these will likely come up in conversation.
✨Understand the Science Behind the Role
This position is all about bridging the gap between lab science and product development. Be prepared to discuss how your background in physics, chemistry, or bioengineering relates to the projects they’re working on. Showing that you understand the scientific context will set you apart.
✨Be Ready to Discuss Innovation
As a start-up, they’re looking for someone who can contribute to innovative solutions. Think about how you can apply machine learning techniques to signal processing and be ready to share your ideas. This shows that you’re not just a follower but a potential leader in their innovative journey.