At a Glance
- Tasks: Support clinical operations by analysing data and developing innovative solutions.
- Company: Join Medpace's expanding Clinical Informatics team in a collaborative environment.
- Benefits: Enjoy flexible work, competitive pay, and great career growth opportunities.
- Other info: All experience levels welcome; structured career paths available.
- Why this job: Make a real impact on clinical trials with cutting-edge data analytics.
- Qualifications: Bachelor’s in relevant field and programming skills in R or Python.
The predicted salary is between 30000 - 40000 € per year.
Medpace is expanding a new Clinical Informatics team and is looking for qualified individuals to support this initiative. Our analysts work directly with Clinical Operation teams to identify needs and establish solutions spanning data analytics, visualization, and accessibility. Analysts will be trained to evaluate study protocols and work collaboratively with Clinical Trial Managers to develop and validate data products that increase operational efficiency. Analysts will support both custom- and enterprise-wide solutions as they work hand‑in‑hand with our software engineering team.
Responsibilities
- Evaluate data needs for assigned projects and make recommendations on strategic approach specific to the study design;
- Work alongside operational and medical leads to contribute innovative data products;
- Interact with relational data at both study- and enterprise-level inclusive of actions for query, wrangling, analysis, and reporting;
- Innovate algorithms to describe, classify, and predict operational outcomes of clinical trials;
- Support departmental process improvement initiatives.
Qualifications
- Bachelor’s in informatics, computer science/engineering, biomedical engineering, health information, statistics, or related field;
- Analytical thinker with great attention to detail;
- Ability to prioritize multiple projects on a sprint schedule;
- Excellent verbal communication skills;
- Programming experience in R or Python;
- Clinical research experience is preferred;
- Experience building web applications is preferred (with either Shiny or Streamlit);
- Experience building dashboards is preferred (with either PowerBI, Tableau, or Spotfire).
Additional Considerations
We are hiring all levels of experience. Degree level, work experience, interview performance, and programming proficiency will be considered. For candidates who progress to the interview stage, a programming assessment will be conducted, details will be shared with candidates during scheduling confirmation.
Benefits
- 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
Medpace is an equal opportunity employer.
Clinical Informatics Analyst in London employer: Medspace
Medpace is an exceptional employer, offering a dynamic and flexible work environment that fosters innovation and collaboration within our new Clinical Informatics team. With a strong focus on professional growth, employees benefit from structured career paths, competitive compensation, and a commitment to health and wellness initiatives, making it an ideal place for those seeking meaningful and rewarding careers in clinical research.
StudySmarter Expert Advice🤫
We think this is how you could land Clinical Informatics Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Medpace on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your programming skills in R or Python. We know they’ll assess your coding chops, so practice some common algorithms and data manipulation tasks.
✨Tip Number 3
Show off your analytical thinking! During interviews, be ready to discuss how you've tackled complex data problems in the past. Use specific examples that highlight your attention to detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Clinical Informatics Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Clinical Informatics Analyst role. Highlight relevant experience, especially in data analytics and programming skills like 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 clinical informatics and how you can contribute to our team. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Analytical Skills:Since this role requires strong analytical thinking, include examples of how you've tackled complex problems in the past. Whether it's through data visualisation or algorithm development, we want to see your thought process in action!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our awesome team at Medpace!
How to prepare for a job interview at Medspace
✨Know Your Data
Make sure you brush up on your data analytics skills, especially in R or Python. Be prepared to discuss how you've used these tools in past projects, and think of specific examples where your analytical thinking made a difference.
✨Understand the Role
Familiarise yourself with the responsibilities of a Clinical Informatics Analyst. Think about how your background in informatics or related fields aligns with the job description, and be ready to explain how you can contribute to Medpace's goals.
✨Prepare for the Programming Assessment
Since a programming assessment is part of the interview process, practice coding problems in R or Python. Focus on data manipulation and visualisation techniques, as these will likely be relevant to the role.
✨Showcase Your Communication Skills
As you'll be working closely with Clinical Operation teams, it's crucial to demonstrate your verbal communication skills. Prepare to discuss how you've effectively collaborated with others in previous roles, and be ready to explain complex data concepts in simple terms.
