At a Glance
- Tasks: Solve complex problems using data to advance healthcare through imaging solutions.
- Company: Join Perspectum, a leader in innovative healthcare technology.
- Benefits: Enjoy competitive pay, diverse culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a focus on personal contributions.
- Why this job: Make a real impact in healthcare while developing your data science skills.
- Qualifications: Experience in data science and a passion for problem-solving.
The predicted salary is between 37800 - 46200 £ per year.
Do you enjoy solving complex problems using data-driven insights? This is a fantastic opportunity to contribute to advancing healthcare through imaging solutions. You will play a vital role in Perspectum’s Pharma Solutions (clinical trials) work, support Translational Science projects and early stage R&D work for medical devices and future pharma pipelines.
As one of our Data Scientists, you are responsible for a broad range of activities including:
- Operationalising and delivering custom pharma pipelines
- Optimising existing pharma pipelines to reduce cost and improve data quality
- Developing new metrics to support ongoing and future pharma trials
- Creating dashboards to visualise critical metrics and deliver actionable insights
- Providing 1st-line technical support to troubleshoot issues
We are looking for a Data Scientist with practical industry experience who enjoys being hands-on, implementing new ideas, and has an analytical mindset. Prior experience in medical imaging, or similar, would be beneficial but is not required.
Your knowledge and experience will include:
- Solid grounding in mathematics/sciences
- Experience in data science/artificial intelligence
- Automation of data processing pipelines on remote systems (on the “cloud”)
- Understanding of the importance of algorithmic validation
Desirable experience includes:
- Cloud Computing (i.e. AWS, GCP, Azure)
- Coding Experience (e.g. Python)
- CI/CD pipelines, unit testing, use of version control systems
- Dashboarding and Data Visualization Skills (e.g. Streamlit, Dash, Retool, Plotly)
- Exposure to ML libraries/systems (Scikit-learn, PyTorch, MLflow)
- Clinical trials
- Good Clinical Practice (GCP)
- Medical device development
At Perspectum, we are committed to fostering diversity, equity, and inclusion. We prioritise hiring based on merit, skills, and qualifications, valuing individuals for their unique contributions while ensuring a culture that respects and celebrates differences. If you require any reasonable adjustments as part of your application process, please let our Talent Team know.
Data Scientist in Oxford employer: Perspectum Ltd
At Oxford Community Diagnostic Centre, we pride ourselves on being an excellent employer that prioritises patient care and employee development. Our supportive work culture fosters collaboration and continuous improvement, providing ample opportunities for professional growth and mentorship, especially for senior roles like the Senior Radiographer. Located in a vibrant community, we offer a fulfilling environment where you can make a meaningful impact on patient journeys while advancing your career in diagnostic imaging.
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 Perspectum 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 Scientist at Perspectum Ltd.
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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 Perspectum Ltd.
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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 Perspectum 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 Perspectum 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 Perspectum 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 Perspectum 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.
