At a Glance
- Tasks: Join a dynamic team to create tools for analysing clinical data during disease outbreaks.
- Company: Innovative research institution with a focus on global health.
- Benefits: Competitive salary, pension scheme, and the chance to work on impactful projects.
- Other info: Full-time, fixed-term contract with excellent career development opportunities.
- Why this job: Make a real difference in global health by applying your data skills.
- Qualifications: Masters degree in statistics or computing and experience in data analysis.
The predicted salary is between 39424 - 47779 € per year.
Location: Old Road Campus, Headington, Oxford, OX3 7LF
We are seeking to appoint a Data Scientist to be a part of a dynamic team creating tools that enable researchers to rapidly capture, process and analyse clinical data during and between disease outbreaks. The role involves designing, building and improving tools and methodologies for data collection and processing in collaboration with the ISARIC team and international partners.
Responsibilities:
- Apply statistical methods and machine learning techniques to generate robust, actionable evidence from complex health datasets.
- Design, develop and maintain scalable reusable tools for efficient data analysis and evidence generation across different research settings.
- Lead the analysis of clinical and epidemiological data to generate new evidence.
- Develop standard data models and machine‑readable data.
- Design, adjust, validate, document and share complex data pipelines.
- Identify and improve issues with tool data, functionality and documentation.
- Support tool usage across international research institutions.
Qualifications:
- Hold a Masters level degree in statistics, computing or another numerate/related subject.
- Significant experience in data analysis.
- Proficiency in writing Python code for data import and manipulation.
- Advanced data management, software engineering and analytical skills.
- Excellent interpersonal skills.
Contract Details:
This position is offered full time on a fixed term contract for 24 months and is funded by the Gates Foundation. Salary: £39,424 to £47,779 with a discretionary range to £51,983 p.a. (pro rata). Standard Grade 7. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year (pro rata).
Data Scientist in Oxford employer: Professor Doctor Obi
Join a forward-thinking team at the Old Road Campus in Headington, Oxford, where your work as a Data Scientist will directly contribute to groundbreaking research in clinical data analysis. We offer a collaborative work culture that values innovation and professional growth, alongside competitive salaries and benefits, including a pensionable Oxford University Weighting. This role not only provides the opportunity to work with international partners but also allows you to make a meaningful impact on global health through your expertise in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the field of data science. They can give you insider info about the company culture and maybe even refer you for the role. Plus, it shows you're genuinely interested!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python and data analysis. We recommend practising common data science interview questions and even doing some mock interviews with friends.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data analysis projects, make sure to highlight them during your interview. We love seeing real-world applications of your skills, so bring along examples that demonstrate your expertise.
✨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 keen on joining our team and contributing to impactful research.
We think you need these skills to ace Data Scientist in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with statistical methods, machine learning, and any relevant projects that showcase your skills in data analysis and Python coding.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for our team. Share your passion for data science and how your background aligns with the responsibilities outlined in the job description.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've applied your analytical skills and software engineering expertise in previous roles or projects.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Professor Doctor Obi
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your statistical methods and machine learning techniques, as you might be asked to discuss how you would apply them to real-world scenarios. Being able to reference specific examples from your past experience will really impress.
✨Show Off Your Python Skills
Since proficiency in Python is key for this role, be prepared to demonstrate your coding skills. You might be asked to solve a problem or explain how you would write code for data import and manipulation. Practising common data manipulation tasks in Python beforehand can give you a solid edge.
✨Collaborate Like a Pro
This position involves working with international partners, so highlight your interpersonal skills. Be ready to share examples of how you've successfully collaborated on projects in the past. Emphasise your ability to communicate complex ideas clearly and work effectively within a team.
✨Prepare Questions About the Role
Interviews are a two-way street, so come armed with thoughtful questions about the tools and methodologies you'll be working with. Ask about the challenges the ISARIC team faces and how you can contribute to overcoming them. This shows your genuine interest in the role and the organisation.
