At a Glance
- Tasks: Create data collection systems for clinical trials using REDCap and support excellent research.
- Company: Join the University of Oxford, a world-class centre of excellence in medical research.
- Benefits: Enjoy 38 days annual leave, hybrid working, and a contributory pension scheme.
- Other info: Be part of a collaborative team at the largest European academic department in its field.
- Why this job: Make a real impact on global health challenges while developing your skills in a dynamic environment.
- Qualifications: Degree level education with experience in data manipulation and REDCap.
The predicted salary is between 36360 - 42434 £ per year.
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 6: Salary in the range of £36,360-£42,434 per annum. This is a full time, fixed term position for 2 years. The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.
The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. Botnar Institute for Musculoskeletal Sciences enables and encourages research and education into the causes of musculoskeletal disease and their treatment. The Institute provides world-class facilities for scientists in the field of musculoskeletal research.
What We Offer:
- An excellent contributory pension scheme
- 38 days annual leave
- A comprehensive range of childcare services
- Family leave schemes
- Discounted bus travel and Season Ticket travel loans
- Membership to a variety of social and sports clubs
- This role also offers the opportunity for hybrid working
About the Role:
Located within the Oxford Clinical Trials Research Unit (OCTRU) – the registered clinical trials unit located in the department, the role is part of the expanding OCTRU programming team. This position will ensure that trial programming provision enables and proactively supports excellent research with high quality fully validated systems. On receipt of database specification documents (case report forms) that have been developed by the wider trial team, the primary role of the post holder is to use these to create data collection systems for trials primarily using the REDCap system and other systems.
You will be responsible for adding new trials to OCTRU IT systems, including the creation of electronic case report forms and randomisation instances as required in Commercial Off the Shelf systems – the main system used being REDCap. You will be performing datalocks on hosted servers in accordance with OCTRU IT procedure and Data Protection legislation at the request of Trial Management Teams. You will also be responsible for developing documentation in the area of data management systems and computer system validation documentation, as well as contributing to Unit’s administration: production of internal procedures and standardised manuals of operation.
About You:
You must be educated to degree level and have experience in data manipulation/analysis and management. You will have experience of using REDCap and providing training to system users from a range of backgrounds. Experience of working with electronic data capture tools such as online surveys, is essential. Familiarity with database tools and programs (e.g. PGAdmin, text editors, XAMPP), as well as familiarity with SQL and/or PHP, experience in database administration, is desirable.
OCTRU REDCap Database Officer in Oxford employer: University of Oxford
The Department of Politics and International Relations at the University of Oxford is an exceptional employer, offering a collaborative and intellectually stimulating environment where finance professionals can thrive. With a commitment to equality, diversity, and inclusion, along with generous benefits such as 38 days of annual leave and a robust family leave scheme, employees are supported in both their professional and personal lives. This role not only provides the opportunity to influence strategic financial decisions within a world-renowned department but also fosters continuous growth and development in a vibrant academic community.
StudySmarter Expert Advice🤫
We think this is how you could land OCTRU REDCap Database Officer 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 University of Oxford!
✨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 OCTRU REDCap Database Officer at University of Oxford.
✨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 University of Oxford.
✨Apply Directly through Our Website
When you find a suitable opening like OCTRU REDCap Database Officer at University of Oxford, 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 OCTRU REDCap Database Officer 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 University of Oxford, 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 University of Oxford. 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 University of Oxford
✨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 University of Oxford!
✨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.
