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- Tasks: Analyse healthcare data to support impactful observational studies and develop analytical solutions.
- Company: Join TFS HealthScience, a leading global Contract Research Organization dedicated to innovation.
- Benefits: Opportunities for personal growth, collaboration, and making a real difference in patient lives.
- Why this job: Be part of a passionate team that values quality and sustainability in healthcare research.
- Qualifications: Master’s degree in relevant field and strong skills in SQL, R, and Python required.
- Other info: Dynamic work environment with a focus on collaboration and excellence.
The predicted salary is between 50000 - 65000 £ per year.
TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) that partners with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise includes full-service capabilities, resourcing, and Functional Service (FSP) solutions. As part of our SRS/FSP team, you will be dedicated to one sponsor, a global pharmaceutical company that is an industry leader within its therapeutic area.
Key Responsibilities
- Deliver and implement advanced secondary analyses of EMR and claims data to support observational epidemiological studies.
- Design and execute analyses for real-world observational studies with no intervention.
- Provide expert input and recommendations on study design, data partner selection, and Real-World Data (RWD) best practices.
- Collaborate with internal and external teams to evaluate the strengths and limitations of RWD sources for respiratory research.
- Independently design and build analytical solutions for complex healthcare datasets.
- Develop, validate, and document analytical methods and models using SQL (required), R, and Python.
- Apply advanced statistical methods (e.g., regression models, Cox regression, Kaplan-Meier survival analysis) to generate robust insights.
- Contribute to study reports, publications, and presentations through high-quality statistical analyses and visualizations.
Qualifications
- Master’s degree in Statistics, Mathematics, Data Science, or a related Life Sciences discipline.
- Demonstrated experience with large datasets, preferably healthcare data.
- Excellent SQL skills and strong experience querying complex databases.
- Excellent programming skills in R; Python experience is an advantage.
- Strong problem-solving skills and ability to independently develop analytical solutions.
- Good understanding of statistical methods used in observational research (e.g., regression, Cox regression, Kaplan-Meier).
- Experience working with observational studies with no intervention.
- Familiarity with ADaM/SDTM datasets and clinical data structures.
- Experience working with or understanding of the OMOP Common Data Model (OMOP CDM).
- Experience with Imaging Data (CT scan reading in particular) - a must-have.
What We Offer
We provide opportunities for personal and professional growth in a rewarding environment. You will join a team that values collaboration, quality, and making a difference in the lives of patients. Our core values of Trust, Quality, Passion, Flexibility, and Sustainability guide our decisions and shape our culture. By aligning on these values, we foster collaboration, innovation, and a shared commitment to excellence. Together, we make a difference.
Data Scientist - Imaging Data in London employer: TFS HealthScience
Contact Detail:
TFS HealthScience Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Imaging Data in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field, especially those working with healthcare data. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical solutions and projects, especially those involving SQL, R, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical methods and real-world data applications. Be ready to discuss how you've tackled complex datasets and the insights you've generated—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out and show us why you're the perfect fit for the role.
We think you need these skills to ace Data Scientist - Imaging Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with SQL, R, and Python, and don’t forget to mention any work you've done with healthcare datasets or imaging data. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our mission at TFS HealthScience. Be genuine and let us know what excites you about working with real-world data.
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills and problem-solving abilities. Mention specific projects where you've designed and executed analyses, especially in observational studies. We love seeing concrete examples of your work!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at TFS HealthScience
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of datasets you'll be working with, especially healthcare data. Brush up on your SQL skills and be ready to discuss how you've used R and Python in past projects. Being able to talk confidently about your experience with imaging data, particularly CT scans, will definitely set you apart.
✨Master the Statistical Methods
Familiarise yourself with the statistical methods mentioned in the job description, like regression models and Kaplan-Meier survival analysis. Be prepared to explain how you've applied these techniques in real-world observational studies. This shows that you not only understand the theory but can also implement it effectively.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you’ve independently developed analytical solutions. During the interview, share these stories to demonstrate your strong problem-solving abilities. Highlighting your thought process and the impact of your solutions can really impress the interviewers.
✨Align with Their Values
Research TFS HealthScience’s core values: Trust, Quality, Passion, Flexibility, and Sustainability. Prepare to discuss how your personal values align with theirs and how you can contribute to their mission. This connection can make a big difference in how they perceive you as a candidate.