At a Glance
- Tasks: Join a team to analyse clinical data and ensure accuracy for impactful projects.
- Company: Medpace, a rapidly growing company with a focus on data management.
- Benefits: Flexible work environment, competitive pay, and great PTO packages.
- Other info: Enjoy company-sponsored events and health initiatives while developing your skills.
- Why this job: Kickstart your career in a dynamic field with extensive training and growth opportunities.
- Qualifications: Bachelor's degree in Life Sciences or Mathematics and strong attention to detail.
The predicted salary is between 25000 - 32000 £ per year.
Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Coordinator to join our Data Management team in Stirling.
This position will work in a team to accomplish tasks and projects that are instrumental to the company’s success.
By analysing clinical data, these professionals ensure the accuracy of data that is reported from clinical studies.
At Medpace, Data Coordinators 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
- Participate as part of a team on various projects
- Validate an entry database design
- Report metrics and data trends on projects
- Identify data conflicts and issues on projects
- Collaborate with research sites globally to resolve data conflicts
- Reconcile data from multiple sources
- Create and update study documentation on projects
Training is available for entry-level candidates.
Qualifications
- Bachelor's degree in Life Sciences or Mathematics
- Strong attention to detail
- Excellent working knowledge of Microsoft Excel and Word
- Solid oral and written English language communication skills
Perks
- Flexible work environment
- Competitive compensation and benefits package
- Competitive PTO packages
- Structured career paths with opportunities for professional growth
- Company-sponsored employee appreciation events
- Employee health and wellness initiatives
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Data Coordinator (Stirling, Entry-Level) employer: Medpace
Medpace is an exceptional employer, offering a collaborative and purpose-driven work environment in Cincinnati, Ohio, where employees can thrive alongside industry-leading experts in clinical research. With a strong focus on continuous learning and professional development, Medpace provides defined career paths, comprehensive benefits, and a culture that encourages innovation and employee contributions. Join us to make a meaningful impact on global health while enjoying competitive compensation and a supportive office-based atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Data Coordinator (Stirling, Entry-Level)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Medpace!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Medpace.
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We think you need these skills to ace Data Coordinator (Stirling, Entry-Level)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Medpace, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Medpace. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Medpace
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Medpace!
✨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.
