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- Tasks: Develop cutting-edge fluid handling and automated microscopy robots for biomedicine.
- Company: Fast-growing biotech spin-out from the University of Oxford with innovative solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for skill expansion.
- Why this job: Join a passionate team to revolutionise biomedicine and make a real-world impact.
- Qualifications: Degree in engineering or related field; strong computer vision and Python skills required.
- Other info: Gain diverse experience across departments in a collaborative and innovative setting.
The predicted salary is between 36000 - 60000 £ per year.
iotaSciences, a University of Oxford spin‑out, is an innovative and fast‑growing biotechnology company that emerged from the University’s engineering and biology departments. We offer unique solutions to cell line development. These solutions accelerate and advance biomedicine across a wide range of applications including gene editing, disease modelling and drug discovery; with current customers from universities, hospitals and industry. Our employees are motivated to deliver the most innovative next‑generation technologies in biomedicine that will ultimately translate ideas to clinics faster.
As a Research Engineer at iotaSciences, you will be at the forefront of developing the next generation of fluid handling and automated microscopy robots. This is a hands‑on, NPI‑focused role where your primary responsibility will be designing and implementing computer vision models for image recognition in cell biology. You will also:
- Collaborate with software engineers to integrate computer vision models into a Windows‑based microscopy application.
- Develop programs for a microfluidic robot, programming robotic motions.
- Design and run experiments to gather empirical data, perform data analysis and assess robotic performance.
We are looking for a highly motivated and independent individual with a strong background in engineering or a similar technical field. You should have previous experience in a research or product development environment, whether academic or industrial. You should be able to comfortably be the technical authority on NPI projects and have experience taking a project from concept to release. This role requires a candidate who can work across multiple disciplines, collaborating closely with software, biology, and hardware teams. The primary goal is to develop intelligent systems that accelerate biomedicine by testing concepts and finding innovative solutions to complex problems. As a member of a small company, your day‑to‑day activities will be highly varied, and you will be expected to participate in wider company projects as needed. This provides a unique opportunity to gain experience across various departments and expand your skill set.
Requirements (essential)
- Degree in engineering, physics, computer science, or a related field. Advanced degrees preferred.
- Strong experience in computer vision (PyTorch, TensorFlow, OpenCV).
- Proficiency in Python.
- Experience using version control (e.g. Git).
- Ability to design and conduct experiments.
- Strong communication skills.
- Willingness to participate in wider company projects when needed.
- Experience of technical leadership on projects.
Desirable Experience (not All Are Needed)
- Familiarity with Windows app development in C#/VB.NET.
- Exposure to multi‑axis motion control programming (e.g. G-code).
- Foundation in fluid dynamics.
- C++ firmware experience.
- Mentoring for more junior R&D engineers.
Senior Research Engineer - iotaSciences in Yarnton employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer - iotaSciences in Yarnton
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech field, especially those linked to iotaSciences. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects related to computer vision or robotics, make sure to highlight them during interviews. We love seeing practical examples of your work!
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of Python, computer vision frameworks, and experimental design. Being able to discuss your thought process will impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team at iotaSciences.
We think you need these skills to ace Senior Research Engineer - iotaSciences in Yarnton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Research Engineer role. Highlight your experience in computer vision and any relevant projects you've worked on. We want to see how your skills align with our mission at iotaSciences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about biomedicine and how your background makes you a perfect fit for our team. Don’t forget to mention specific technologies or projects that excite you.
Showcase Your Technical Skills: We’re looking for someone with strong technical expertise, so be sure to showcase your experience with Python, computer vision frameworks, and any relevant programming languages. Include examples of how you've applied these skills in past roles.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to hear from you!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of computer vision technologies like PyTorch, TensorFlow, and OpenCV. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Think about times when you had to design experiments or develop innovative solutions, and be ready to explain your thought process.
✨Collaboration is Key
Since this role involves working closely with software, biology, and hardware teams, be prepared to discuss your experience in cross-disciplinary collaboration. Highlight any projects where you successfully worked with diverse teams to achieve a common goal.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, future goals, or how they envision the integration of new technologies in their processes. This shows you're genuinely interested and engaged.
