At a Glance
- Tasks: Join a dynamic team to ensure data accuracy in clinical trials.
- Company: Medpace, a leading company in clinical research.
- Benefits: Flexible work environment, competitive pay, and career growth opportunities.
- Other info: Enjoy employee appreciation events and wellness initiatives.
- Why this job: Kickstart your career in a vital role with extensive training and support.
- Qualifications: Bachelor's degree in Life Sciences or Mathematics; detail-oriented and strong communication skills.
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 eClinical Coordinator to join our Data Management team in Central London. The eClinical Coordinator at Medpace is a crucial component of the clinical trial process. By working with the eClinical Project Manager and other team members, these professionals ensure the accuracy of data reported by patients for clinical studies.
At Medpace, eClinical 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. Training is available for entry-level candidates.
Responsibilities
- Participate as part of a team on various project(s).
- Work with vendors to ensure patient forms meet their respective electronic requirements.
- Partner with Sponsors to develop application requirements for each unique study.
- Assist in the creation and maintenance of metric reports and study specific documents.
- Assist Clinical Db Programmers with configuring and testing applications.
- Troubleshoot issues with applications by working with sites/sponsors.
- Report compliance metrics to Sponsors.
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
Medpace 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
eClinical Coordinator (London, Entry Level) employer: Medpace, Inc.
At Medpace, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of Central London. Our commitment to employee growth is evident through our extensive onboarding and training programmes, ensuring that even entry-level eClinical Coordinators can thrive and advance their careers. With competitive compensation, flexible working conditions, and a strong focus on health and wellness, Medpace is dedicated to fostering a supportive culture where every team member can contribute meaningfully to the clinical trial process.
StudySmarter Expert Advice🤫
We think this is how you could land eClinical Coordinator (London, Entry Level)
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Medpace, Inc. when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Medpace, Inc..
✨Networking Through University Career Services
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✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Medpace, Inc.’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace eClinical Coordinator (London, Entry Level)
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Medpace, Inc., don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Medpace, Inc. aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Medpace, Inc.
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
