At a Glance
- Tasks: Develop data pipelines and methodologies for scientific applications in a dynamic start-up.
- Company: Exciting Cambridge-based start-up pushing the boundaries of scientific innovation.
- Benefits: Excellent remuneration package and opportunities for growth in a vibrant environment.
- Other info: Fully onsite role with occasional hybrid working; no sponsorship available.
- Why this job: Make a real impact by transforming lab science into market-ready products.
- Qualifications: Degree and PhD in relevant fields, strong Python skills, and data analysis experience.
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.
- 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. Please apply only if you are eligible to live and work in the UK.
Computational Research Engineer. Job in Cambridge LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
As a Cambridge-based start-up, we offer an exciting opportunity for a Computational Research Engineer to join our innovative team at the forefront of molecular physics and synthetic biology. Our dynamic work culture fosters collaboration with experimental lab scientists, providing you with the chance to develop cutting-edge data analytic pipelines while contributing to meaningful scientific advancements. With a focus on employee growth and a competitive remuneration package, this role is perfect for those looking to make a significant impact in a rapidly evolving field.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Computational Research Engineer. Job in Cambridge LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in start-ups or similar fields. Attend meetups or webinars related to computational research and data science; you never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data analysis. This is your chance to demonstrate how you can turn noisy data into meaningful insights, which is exactly what they’re after.
✨Tip Number 3
Prepare for interviews by brushing up on relevant algorithms and methodologies. Be ready to discuss your experience with time series data and any machine learning techniques you've used. They’ll want to see that you can think critically about scientific problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Good luck, and let’s get you that role!
We think you need these skills to ace Computational Research Engineer. Job in Cambridge LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analysis and Python coding. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or methodologies you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background in physics, chemistry, or bioengineering makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects:If you've worked on any scientific projects, especially those involving data analytics or machine learning, make sure to mention them. We love seeing real-world applications of your skills, so include any relevant details that demonstrate your expertise.
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 the role. Plus, it shows you’re keen on joining our dynamic team!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨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 how you've applied algorithms for event identification in past projects.
✨Show Off Your Python Skills
Since excellent Python coding skills are a must, prepare to demonstrate your coding abilities. Bring examples of your work, especially any software pipelines you've developed, and be ready to talk about good software engineering practices like version control and testing.
✨Understand the Science Behind the Role
Familiarise yourself with molecular physics and its applications in synthetic biology. Be prepared to discuss how your background in physics, chemistry, or bioengineering can contribute to the company’s innovative projects.
✨Be Ready for a Start-Up Environment
As this is a start-up, they’ll be looking for candidates who thrive in dynamic settings. Share examples of how you’ve adapted to changing project requirements or worked collaboratively with experimental lab scientists to bridge the gap between science and product development.
