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- Tasks: Analyse health outcomes data and develop innovative statistical methods.
- Company: Kielo Research, a digital-enabled consultancy focused on patient insights.
- Benefits: Attractive compensation, performance bonuses, and remote work flexibility.
- Other info: Remote-first policy with opportunities for professional development and travel.
- Why this job: Join a team that shapes patient-centred drug development with cutting-edge research.
- Qualifications: Master's or Doctoral degree in relevant field with experience in R and statistical analysis.
The predicted salary is between 36000 - 60000 £ per year.
Our (senior) research data analysts are members of scientific project teams and provide expertise for statistical analyses of health outcomes studies with patients, caregivers, and clinicians. This includes tasks such as:
- Development of statistical and psychometric analysis plans
- Formal experimental design of choice experiments (such as discrete choice experiments, best-worst scaling, thresholding, and swing weighting)
- Statistical analysis, including econometric analysis of choice data (e.g. from discrete choice experiments) and psychometric analyses (classical and modern), using R
- Writing statistical analysis sections to study protocols and reports
- Support efficient study operations by developing scripts to automate manual research tasks
Our data analysts may also support projects in the role of (senior) research associates, with tasks such as:
- Literature reviews
- Protocol development
- Conducting patient interviews, including telephone interviews and online or in-person focus group moderation
- Survey implementation and testing
- Qualitative coding and analysis
- Writing study reports and scientific publications
We are looking for candidates with experience conducting statistical analyses of patient preference, clinical outcome assessment, or other health outcomes data in R. Familiarity with data management and visualisation using the tidyverse packages is essential. The minimum educational requirements are:
- Master's degree in a relevant scientific field (e.g., statistics, (health) economics, epidemiology, computer science, or management science) with three years of relevant experience; or
- Doctoral degree in a relevant scientific field with one year of relevant experience
Any of the following experiences is considered an advantage:
- Experience with the design or conduct of stated preference studies
- Experience with psychometric analyses
- Experience with survey scripting
- Experience in publishing in peer-reviewed scientific journals
Kielo Research is a digital-enabled consultancy, and we expect our staff to be fluent in using Microsoft Office products and comfortable with digital workflows. Fluency in English is essential. French, German, Spanish, or Italian is considered an advantage.
We apply innovative methods to capture patient insights that inform patient-centred drug development and lead methodological developments in the field. We invest heavily in the professional development of our staff and fund scientific conference visits and training. We offer attractive compensation packages and include substantial performance-based bonuses. Kielo Research is based in Switzerland, the UK, and Germany, but our employees work remotely in various European locations. Our remote-first policy means that:
- Our employees can choose flexibly where they work from
- Our employees can obtain a co-working space at a suitable location, with costs covered by the company
- We meet regularly in person at one of our employer locations in Europe
You could be based in the United Kingdom, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, Hungary, Ireland, Italy, Latvia, Lithuania, the Netherlands, Poland, Portugal, Romania, or Sweden. We currently offer full-time positions (100% FTE). The positions require 5% travel.
Research Data Analyst employer: Kielo Research Jobs
Contact Detail:
Kielo Research Jobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Data Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of research data analysis on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical analyses, projects, and any relevant work you've done in R. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to statistical analysis and psychometric methods. Practise explaining your past projects clearly and confidently – we want to see your passion!
✨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 at Kielo Research.
We think you need these skills to ace Research Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Data Analyst role. Highlight your experience with statistical analyses, especially in R, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about health outcomes research and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Relevant Experience: When filling out your application, be sure to showcase any experience you have with psychometric analyses or survey scripting. If you've published in peer-reviewed journals, mention that too! We value candidates who can demonstrate their expertise.
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 gives you a chance to explore more about Kielo Research and what we stand for.
How to prepare for a job interview at Kielo Research Jobs
✨Know Your Stats
Brush up on your statistical analysis skills, especially in R. Be ready to discuss specific projects where you've applied econometric analysis or psychometric methods. This will show that you not only understand the theory but can also apply it practically.
✨Familiarise with the Tidyverse
Since familiarity with data management and visualisation using tidyverse packages is essential, make sure you can demonstrate your experience with these tools. Prepare examples of how you've used them to streamline research tasks or enhance data presentation.
✨Prepare for Scenario Questions
Expect scenario-based questions related to patient interviews or survey implementation. Think about past experiences where you had to moderate focus groups or conduct qualitative coding, and be ready to share how you handled challenges in those situations.
✨Show Your Passion for Patient-Centred Research
Kielo Research values innovative methods for capturing patient insights. Be prepared to discuss why this approach matters to you and how your background aligns with their mission. Share any relevant experiences that highlight your commitment to patient-centred drug development.