Senior Data Scientist / Statistician

We are seeking experienced data scientists with expertise in indirect treatment comparison and meta-analysis approaches to join the data science and analytics team at HEOR. As part of this innovative team, you will work alongside a group of passionate data scientists, researchers, and statisticians. Together, we are at the forefront of pioneering leading research and conducting cutting-edge statistical analyses to inform health economic decision making. We use a wide range of modelling approaches and data types to address healthcare challenges across various disease areas.

As a part of our dynamic team, you will have the opportunity to make a real impact and contribute to the success of our company. Get ready to dive into a diverse range of tasks and embrace the opportunities that await you! Your role will be anything but limited!

If you have a passion for data science, we would love to hear from you! In addition to indirect treatment comparison expertise, experience of other statistical approaches will be beneficial - such as but not limited to: multivariable regression modelling, time-to-event modelling, propensity score matching, causal modelling, and Bayesian approaches across different research designs (i.e., big data, clinical trials). You will also have the opportunity to contribute to statistical analysis and development of applications using R, SQL, SAS, JavaScript, or C++.

Competitive compensation and benefits package, including:

• A ‘learning’ culture focused on personal development and supported by study bursaries
• Workplace pension scheme
• Private health insurance with AXA Health
• Range of high street, supermarket, restaurant, gym membership, holiday and entertainment discounts via Sodexho
• Cycle to work scheme
• Employee assistance programme
• Employees are given an additional day of leave for: their wedding and moving house
• Annual leave purchase scheme of up to 10 additional days’ leave per year

If you would like to request any reasonable adjustment, for any part of the recruitment process (including application), please let us know by emailing [email protected]