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- Tasks: Analyse healthcare data to generate insights that improve patient outcomes in respiratory health.
- Company: Join TFS HealthScience, a global leader in clinical research with a collaborative spirit.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by working on impactful observational studies.
- Qualifications: Master’s degree in relevant field and strong skills in SQL, R, and statistical analysis.
- Other info: Be part of a dynamic team dedicated to innovation and excellence in clinical research.
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.
About TFS
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 City of Westminster 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 City of Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the clinical data science field, especially those working with respiratory diseases. 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! Prepare a portfolio showcasing your analytical projects, especially those involving SQL, R, and Python. When you get the chance to chat with potential employers, share your insights and how you've tackled complex healthcare datasets.
✨Tip Number 3
Ace the interview! Research TFS HealthScience and their work in respiratory research. Be ready to discuss how your experience aligns with their goals, particularly in observational studies. Tailor your answers to highlight your problem-solving skills and statistical expertise.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Make sure to submit your application directly on our site, and don’t hesitate to follow up if you haven’t heard back. It shows your enthusiasm and commitment!
We think you need these skills to ace Senior Clinical Data Scientist in City of Westminster
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 at TFS HealthScience. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills and problem-solving abilities. Mention specific projects where you’ve designed and executed analyses, especially in observational studies. We’re keen on seeing how you tackle complex data challenges!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy – just a few clicks and you’re done!
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, particularly in the respiratory therapeutic area.
✨Familiarise Yourself with RWD Best Practices
Understand the nuances of Real-World Data and be prepared to discuss best practices in study design and data partner selection. This will show that you’re not just technically skilled but also strategic in your approach.
✨Communicate Effectively with Diverse Teams
Since this role involves collaboration with both technical and non-technical colleagues, practice explaining complex concepts in simple terms. Highlight any past experiences where you successfully bridged communication gaps in cross-functional teams.