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- Tasks: Join a team to analyse health outcomes and develop innovative statistical methods.
- Company: Kielo Research, a digital-enabled consultancy focused on patient insights.
- Benefits: Attractive salary, performance bonuses, remote work, and professional development opportunities.
- Other info: Remote-first policy with flexible work locations across Europe and regular team meet-ups.
- Why this job: Make a real impact in patient-centred drug development while working flexibly.
- Qualifications: Master's or Doctoral degree in relevant field with experience in statistical analysis using R.
The predicted salary is between 40000 - 50000 £ 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.
(Senior) 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 (Senior) 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 and projects you've worked on, especially those using R. This will give 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 health outcomes studies and psychometric analyses. We recommend practising with a friend or even in front of the mirror to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace (Senior) Research Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of (Senior) Research Data Analyst. 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. Don't forget to mention any experience with psychometric analyses or patient preference studies.
Showcase Your Technical Skills: We love seeing candidates who are comfortable with data management and visualisation using tidyverse packages. Make sure to include specific examples of how you've used these tools in your previous work. It’ll help us understand your technical prowess!
Apply Through Our Website: We encourage you to apply directly 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 us you’re keen on joining our innovative team at Kielo!
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 Tools
Make sure you're comfortable with the tidyverse packages for data management and visualisation. If you can demonstrate your proficiency during the interview, it’ll give you a leg up over other candidates who might not be as familiar.
✨Prepare for Scenario Questions
Expect questions about how you would handle real-world scenarios, like designing a choice experiment or conducting patient interviews. Think of examples from your past experience that highlight your problem-solving skills and adaptability.
✨Show Your Passion for Patient-Centred Research
Kielo values innovative methods that capture patient insights. Be prepared to discuss why this is important to you and how your background aligns with their mission. Sharing your enthusiasm for improving health outcomes can make a lasting impression.