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- Tasks: Transform real-world data into actionable insights for biotech decision-making.
- Company: Join R&D Partners, a leading life sciences recruiter with a global reach.
- Benefits: Exciting opportunity to work in a dynamic and impactful field.
- Why this job: Make a difference in healthcare by shaping biotech strategies with your expertise.
- Qualifications: PhD in Epidemiology or related field; proficiency in SaS, R, or Python required.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 £ per year.
Transform real‑world data into actionable epidemiological insights that shape biotech decision‑making. R&D Partners is seeking an Observational Research Manager to support biometrics efforts within the biotechnology industry. This role focuses on epidemiological study design, execution, and analysis, requiring expertise in real‑world data (RWD) and statistical methods.
Please note that to be considered for this role you must have the right to work in this location.
Responsibilities- Develop and execute epidemiological studies.
- Write Statistical Analysis Plans.
- Explore large datasets and interpret study results.
- Promote understanding and application of RWD and epidemiologic methods.
- Proficiency in SaS, R, or Python.
- Experience with CPRD, HES, or UK Biobank.
- Background in designing, executing, and analyzing epidemiology studies within pharmaceutical or public health settings.
- Strong project planning and management skills in epidemiology.
- PhD in Epidemiology, Statistics, Genetic Epidemiology, or a related field with high quantitative content.
Observational Research Manager employer: R&D Partners
Contact Detail:
R&D Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Observational Research Manager
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech field, especially those who work with real-world data. Attend industry events or webinars to make connections and learn more about the role.
✨Tip Number 2
Showcase your skills! Prepare a portfolio that highlights your experience with epidemiological studies and statistical methods. Use examples from your past work to demonstrate how you’ve transformed data into actionable insights.
✨Tip Number 3
Practice your pitch! Be ready to explain your approach to study design and analysis in a clear and engaging way. This will help you stand out during interviews and show your passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, you can easily follow up with us if you have any questions about the process.
We think you need these skills to ace Observational Research Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in epidemiological study design and analysis. We want to see how your skills in RWD and statistical methods align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about transforming real-world data into actionable insights. We love seeing enthusiasm for the biotech industry, so let your personality come through.
Showcase Your Technical Skills: Since proficiency in SaS, R, or Python is key, make sure to mention any relevant projects or experiences where you’ve used these tools. We’re looking for candidates who can hit the ground running, so highlight your technical prowess!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our team!
How to prepare for a job interview at R&D Partners
✨Know Your Data
Make sure you’re well-versed in real-world data (RWD) and the specific datasets mentioned, like CPRD or UK Biobank. Brush up on how these datasets can be used in epidemiological studies, as this will show your potential employer that you understand the practical applications of your expertise.
✨Master Statistical Methods
Since the role requires proficiency in statistical methods, ensure you can discuss your experience with SaS, R, or Python confidently. Prepare to explain how you've applied these tools in past projects, particularly in designing and analysing epidemiological studies.
✨Prepare Your Projects
Have a few examples of your previous work ready to discuss, especially those involving study design and execution. Be prepared to talk about the challenges you faced and how you overcame them, as this demonstrates your problem-solving skills and project management abilities.
✨Show Your Passion for Epidemiology
Express your enthusiasm for the field of epidemiology and how it drives your work. Discuss any recent trends or advancements in the industry that excite you, as this shows you’re not just qualified but also genuinely interested in contributing to the field.
