At a Glance
- Tasks: Build innovative software solutions for super-resolution microscopy and image analysis.
- Company: Join ONI, a pioneering tech company in scientific discovery.
- Benefits: Competitive salary, 28 days leave, onsite gym, private healthcare, and mental health support.
- Other info: Inclusive culture with excellent career growth opportunities.
- Why this job: Make a real impact in scientific research and healthcare breakthroughs.
- Qualifications: Bachelor's degree in relevant field and 3 years of experience in image processing.
The predicted salary is between 54000 - 66000 £ per year.
Join ONI and explore the boundaries of scientific discovery! At ONI, we are driven by a profound mission: to propel scientific discovery and combat diseases by granting everyone the ability to visualize, comprehend, and share the intricate microscopic details of life. Our revolutionary Nanoimager stands at the forefront of advancing cellular studies on a molecular level, making substantial contributions to the evolution of scientific knowledge.
We dedicate ourselves to broadening the realms of human potential, and we are actively seeking an enthusiastic and devoted Data Scientist to join our pioneering team located in Oxford. We believe in the power of relentless curiosity and the pursuit of excellence, and we invite you to join us in shaping the future of scientific exploration and healthcare breakthroughs.
In this role you will build software solutions for the automation of super-resolution microscopy, image analysis to enable non-expert scientists to gain rapid and actionable insights using super-resolution across academic research, drug development, and diagnostics.
Your Role at ONI:
- Build solutions for scientists to automate their acquisition and analysis.
- Contribute to the delivery of high-quality enterprise scale software solutions.
- Design, implement, and test high-performance C++ applications.
- Devise, implement, and test innovative image processing/analysis/machine learning solutions to address challenges of nano scale microscopy and deliver value to the customer.
- Debug and troubleshoot hardware/software integration issues at the system and signal level.
- Collaborate with hardware, firmware, and software engineers to align software behavior with hardware specs.
- Write and maintain clear, well-documented, and testable code.
- Effectively communicate and collaborate with interdisciplinary teams, including software engineering, product management, bioware, chemistry, and hardware ensuring seamless integration and alignment of goals across all departments.
Essential skills and qualifications:
- Bachelor’s degree in Computer Science, Engineering, Bioinformatics or related field.
- Minimum of 3 years experience/demonstrated expertise developing image processing algorithms/applications (low level, analysis, image understanding) as a Software Engineer or in a similar role.
- Proficient in modern C++ (C++14/17/20) and low-level programming.
- Experience working in Agile/SCRUM software development.
- Excellent analytical and problem-solving skills.
Essential behaviours:
- Critical thinking: Analyze complex information to understand root causes, generate insights and provide innovative solutions.
- Transparency: Acts with integrity, stays open-minded, and always willing to learn with humility.
- Continuous improvement mindset: Consistently seeks to improve all aspects of work and deliver sustainable results.
- Collaboration: Works with all stakeholders, building capabilities, and cultivates an inclusive culture.
Desired skills and qualifications:
- Masters degree.
- Excellent programming skills in Python.
- Experience in machine learning pipelines.
- Experience of developing embedded software/hardware-software integrated solutions.
- Experience of developing microscopy/scientific software.
At ONI, we understand that a fulfilling career involves more than just challenging work - it's about enjoying a well-rounded experience. When you become a part of our team, you not only contribute to groundbreaking research but also enjoy a range of benefits designed to enhance your life both inside and outside the workplace.
As an equal opportunity employer, we prioritize fairness and respect, ensuring every team member thrives regardless of their background. But that's not all - our perks include:
- Competitive Compensation: We recognise and reward your talent. Enjoy a competitive salary that reflects your expertise and contributions, ensuring your hard work is recognized.
- Time Off That Counts: 28 days of annual leave plus bank holidays and 4 dedicated wellbeing days!
- Onsite Gym Facilities: Stay active and energized with our convenient onsite gym, promoting your overall health.
- Private Healthcare and Dental Coverage: Your health matters to us. Access top-notch medical and dental services, ensuring your well-being is in good hands.
- Inclusive Culture: Be a valued member of our diverse, inclusive family. Your unique perspective is celebrated here, fostering a culture of mutual respect and understanding.
- Health Assured: Your mental health is essential. Access our comprehensive mental health support services for a balanced work-life experience.
- People’s Pension: Secure your future with our pension scheme, investing in your financial well-being beyond the workplace.
- Perks at Work: Enjoy exclusive discounts and deals through our perks at work program, adding value to your everyday life.
If you are driven by innovation, eager to make a significant impact in the realm of scientific and medical research, and possess the skills and passion we are looking for, we invite you to apply and be a part of our mission to improve our understanding of the details of life.
Data Scientist in Oxford employer: ONI
At ONI, we are committed to fostering a culture of innovation and collaboration, making us an exceptional employer for those passionate about advancing scientific exploration. Located in the vibrant city of Oxford, our team enjoys unique benefits such as on-site gym facilities, nursery services, and complimentary meals, all while working on cutting-edge projects that empower scientists worldwide. We prioritise employee growth through continuous learning opportunities and a supportive environment that encourages curiosity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Oxford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ONI!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at ONI.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ONI.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at ONI, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ONI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ONI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ONI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ONI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
