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- Tasks: Analyse healthcare data to generate insights that improve patient outcomes.
- Company: Join TFS HealthScience, a global leader in clinical research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in respiratory health while working with cutting-edge data science.
- Qualifications: Master’s degree in relevant field and strong SQL skills required.
- Other info: Collaborative environment with a focus on trust, quality, and passion.
The predicted salary is between 36000 - 60000 £ per year.
TFS HealthScience is a leading global mid-size Contract Research Organization (CRO) partnering with biotechnology and pharmaceutical companies throughout their entire clinical development journey. Our expertise spans full-service solutions, resourcing, and Functional Service Provider (FSP) models.
As part of our SRS/FSP team, you will be dedicated to one of our pharmaceutical partners. You will collaborate with their Real World Evidence and Observational Research group to design and implement advanced analyses of healthcare data. This role is focused on the Respiratory therapeutic area, particularly COPD, with the objective of generating real-world insights that support strategic decision-making and improve patient outcomes.
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).
- Proven ability to work in cross-functional teams and communicate with both technical and non-technical colleagues.
- Prior experience in respiratory diseases, particularly Asthma and/or COPD.
- Experience contributing to scientific publications or conference presentations.
Our journey began more than 25 years ago in Lund, Sweden. Today, TFS operates in 17 countries across Europe, North America, Asia-Pacific, and the Middle East, delivering tailored clinical development solutions to our partners. Our core values — Trust, Quality, Flexibility, and Passion — define who we are and guide how we work. They are the foundation of our culture and our success.
Senior Clinical Data Scientist in London employer: TFS HealthScience
Contact Detail:
TFS HealthScience Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Clinical Data Scientist in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend conferences, webinars, or local meetups related to clinical data science. You never know who might have a lead on your dream job or can introduce you to someone at TFS HealthScience.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your SQL, R, and Python skills. Share specific examples of how you've tackled complex healthcare datasets or contributed to observational studies. This will show them you're the real deal!
✨Tailor Your Approach
Before any interview, do your homework on TFS HealthScience and their work in respiratory diseases. Tailor your responses to reflect how your experience aligns with their needs, especially in COPD research. This shows you're genuinely interested and ready to contribute.
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're proactive and really want to be part of the TFS team.
We think you need these skills to ace Senior Clinical Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Clinical Data Scientist role. Highlight your experience with large healthcare datasets, SQL, and any relevant programming skills in R or Python. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about respiratory research and how your skills can contribute to our mission. We love seeing genuine enthusiasm for the role and the impact you can make.
Showcase Your Analytical Skills: In your application, be sure to mention specific examples of how you've applied advanced statistical methods in past projects. We’re looking for candidates who can independently develop analytical solutions, so don’t hold back on showcasing your expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at TFS HealthScience!
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 healthcare data you'll be working with, especially EMR and claims data. Brush up on your SQL skills and be ready to discuss how you've used advanced statistical methods in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to independently develop analytical solutions. Think of specific challenges you've faced in observational research and how you tackled them using R or Python.
✨Understand the Therapeutic Area
Familiarise yourself with respiratory diseases, particularly COPD and asthma. Be prepared to discuss how real-world evidence can impact patient outcomes and strategic decision-making in this field.
✨Communicate Effectively
Since you'll be collaborating with both technical and non-technical teams, practice explaining complex concepts in simple terms. This will show your ability to bridge gaps and work effectively across functions.