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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 part of a dynamic environment with exciting projects and career advancement.
- 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 employer: ECM Selection
Contact Detail:
ECM Selection 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 synthetic biology. Attend meetups, webinars, or conferences to connect with potential employers and learn about job openings that might not be advertised.
✨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 work. This will give you an edge when discussing your experience in interviews.
✨Tip Number 3
Prepare for technical interviews! Brush up on your knowledge of algorithms and data analysis techniques. Practice coding challenges and be ready to discuss how you've applied your skills to solve real-world problems, especially in scientific contexts.
✨Tip Number 4
Apply through our website! We often have exclusive job listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our team and helps us get to know you better right from the start.
We think you need these skills to ace Computational Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that are relevant to the Computational Research Scientist role. Highlight your data science analytics, Python software engineering, and any experience working with experimental lab scientists.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about molecular physics and how your background makes you a perfect fit for our team. Don’t forget to mention any specific projects or methodologies you've worked on that relate to the job.
Showcase Your Projects: If you've worked on any relevant projects, whether in academia or industry, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to develop reproducible processes and software pipelines.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at ECM Selection
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially around data analytic pipelines and methodologies. Be ready to discuss how you've applied these concepts in past projects, particularly in relation to noisy data sets.
✨Showcase Your Python Skills
Since this role involves Python software engineering, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that can handle real-world data challenges.
✨Understand the Science Behind the Role
Familiarise yourself with molecular physics and synthetic biology applications. Being able to speak knowledgeably about how your work can bridge the gap between lab findings and product development will impress the interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to think critically about how you would approach specific scientific problems or data challenges. Practise articulating your thought process clearly, as this will showcase your analytical skills and ability to collaborate with experimental lab scientists.