At a Glance
- Tasks: Design and deliver scalable data pipelines for cutting-edge drug discovery.
- Company: Join the University of Oxford's innovative Research Informatics Team.
- Benefits: Full-time role with a fixed-term contract until 2029, competitive salary, and professional growth.
- Other info: Dynamic environment with opportunities to work on high-profile scientific initiatives.
- Why this job: Make a real impact in biomedical science while collaborating with top organisations.
- Qualifications: Master’s degree in a relevant field and experience with ETL workflows required.
The predicted salary is between 63000 - 77000 £ per year.
Are you a skilled Data Engineer looking to apply your expertise to real-world scientific challenges?
Join the Research Informatics Team at the Centre for Medicines Discovery and help power cutting-edge drug discovery and translational science.
As a Data Engineer, you will play a central role in designing and delivering scalable data pipelines and systems that enable scientists to work efficiently with complex datasets.
You will collaborate closely with multidisciplinary teams across the Centre for Medicines Discovery, the Centre for Human Genetics, and the wider Nuffield Department of Medicine.
You will also contribute to high-profile initiatives such as Open Bind UK, working alongside leading organisations including Diamond Light Source and EMBL-EBI.
You will design, implement, and maintain scalable ETL pipelines, incorporating automation, validation, quality checks, and workflow orchestration.
You will also develop performant and reliable data products and services, contribute to FAIR-compliant data management strategies, and support improvements in metadata standards, interoperability, and data provenance.
It is essential that you hold Master’s degree in Computer Science, Bioinformatics, Data Science or another relevant computational discipline together with experience in designing and maintaining ETL workflows and handling large, complex or heterogeneous datasets.
You will have strong proficiency in Python, with experience in building production-grade data pipelines.
You will be able to manage multiple concurrent projects and deliver high-quality results to deadlines.
Having a working knowledge of biology with a clear interest in biomedical data management is highly desirable.
This position is offered full time on a fixed term contract until 31 July 2029 and is funded by the Research Informatics SRF.
University of Oxford, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
#J-18808-Ljbffr
Data Engineer in Oxford employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 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 Allscreens Nationwide Ltd!
✨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 Engineer at Allscreens Nationwide Ltd.
✨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 Allscreens Nationwide Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Allscreens Nationwide Ltd, 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 Engineer 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 Allscreens Nationwide Ltd, 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 Allscreens Nationwide Ltd. 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 Allscreens Nationwide Ltd
✨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 Allscreens Nationwide Ltd!
✨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.
