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- Tasks: Develop data pipelines and methodologies for groundbreaking scientific applications.
- Company: Innovative Cambridge start-up pushing the boundaries of molecular physics.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Be a key player in transforming lab science into market-ready products.
- Why this job: Join a team at the forefront of scientific innovation and make a real impact.
- Qualifications: Degree and PhD in relevant fields, with strong analytical and programming skills.
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 a related field.
Computational Research Scientist in Cambridge employer: ECM Selection
Contact Detail:
ECM Selection 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 synthetic biology. Attend meetups, webinars, or conferences to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytic pipelines and methodologies. Use GitHub or a personal website to demonstrate your Python projects and any relevant research you've done.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you can translate scientific findings into practical applications, and don’t forget to highlight your collaborative spirit!
✨Tip Number 4
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 show your enthusiasm for joining our innovative team.
We think you need these skills to ace Computational Research Scientist in Cambridge
Some tips for your application 🫡
Show Your Passion for Science: When writing your application, let your enthusiasm for scientific innovation shine through. We want to see how your background in physics or chemistry aligns with our mission at StudySmarter, so don’t hold back on sharing your excitement for the field!
Highlight Relevant Experience: Make sure to detail any experience you have with data analytics, Python programming, or working alongside experimental scientists. We’re looking for candidates who can bridge the gap between lab work and software development, so be specific about your skills and projects.
Tailor Your Application: Don’t just send a generic CV and cover letter! Take the time to tailor your application to the role of Computational Research Scientist. Mention how your unique experiences and skills can contribute to our innovative projects and help us take science out of the lab.
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 that it gets into the right hands. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at ECM Selection
✨Know Your Science
Brush up on your knowledge of molecular physics and synthetic biology. Be ready to discuss how your background in physics, chemistry, or bioengineering can contribute to the company's innovative projects.
✨Showcase Your Coding Skills
Since Python software engineering is a key part of the role, prepare to demonstrate your coding abilities. Bring examples of past projects where you've developed data analytic pipelines or algorithms, and be ready to explain your thought process.
✨Understand the Company’s Vision
Research the start-up's mission and recent projects. Being able to articulate how you can help take their technology to market will show that you're not just interested in the role, but also in contributing to their overall goals.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving skills. Think of scenarios where you've tackled noisy data sets or developed reproducible processes, and be prepared to walk through your approach step-by-step.