At a Glance
- Tasks: Support global studies and collaborate with experts to produce high-quality statistical outputs.
- Company: Join Medpace, a leading clinical research organisation dedicated to advancing medical therapeutics.
- Benefits: Enjoy competitive pay, health benefits, flexible work options, and continuous learning opportunities.
- Other info: Dynamic team culture with clear paths for career advancement and mentorship.
- Why this job: Make a real impact in healthcare while growing your career in a supportive environment.
- Qualifications: Master’s in Statistics or Biostatistics, SAS programming skills, and strong communication abilities.
The predicted salary is between 63000 - 77000 £ per year.
Our European activities are growing rapidly, and we are currently seeking a full-time, office-based Statistical Analyst to join our Global Statistics team. This position will work in a team to accomplish tasks and projects that are instrumental to the company’s success. At Medpace, Statistical Analysts go through an extensive onboarding and training process, which prepares them to become experts in their field. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.
Responsibilities
- Support analysis for global studies;
- Review analysis plans for appropriate methods;
- Operate in collaboration with Project Statistician and other Statistical Analysts and Programmers to ensure study outputs are produced to a high quality and in a timely fashion;
- Assist in generation of specification documents for derived datasets (e.g. ADaM) and tables, listings and figures;
- Use efficient programming techniques to produce and/or QC derived datasets (e.g. ADaM) and tables, listings and figures according to specifications.
Qualifications
- Master’s Degree in Medical Statistics, Statistics or Biostatistics;
- Good communication skills;
- Willingness to apply innovative programming techniques to solve critical problems;
- Can adapt and respond to requests from across the business while being aware of impact of response;
- SAS programming experience and/or SAS Base Programming Certificate.
Other Employee Benefits
- Competitive compensation programs that recognize and reward performance;
- Comprehensive health, wellness, retirement, and PTO benefits;
- Office based culture with occasional WFH that provides flexibility for eligible positions after training;
- Company-sponsored social events.
Please note benefits may vary based on country.
A Medpace team member will review your application and if your profile matches our current needs, you will be contacted for an interview. While we review all applications carefully, we are unable to respond to every applicant, and only candidates selected for interviews will be contacted.
Statistical Analyst (London) employer: Medpace, Inc.
Medpace, Inc. is an excellent employer for those looking to kickstart their career in clinical trials, offering comprehensive onboarding and training that empowers you to become a data monitoring expert. With a strong emphasis on cross-functional collaboration and a supportive work culture, employees are encouraged to grow and develop their skills in a dynamic environment. Located in a vibrant office setting, Medpace provides a unique opportunity to contribute meaningfully to impactful projects while enjoying a fulfilling work-life balance.
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We think you need these skills to ace Statistical Analyst (London)
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!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
