Master-Thesis (all genders) in our Biostatistics department

Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide.

About us

You will write your Master-Thesis in our team and be advised by biostatisticians from Sanofi’s Evidence Generation and Decision Science (EGDS) unit who are specialized in Immunology & Inflammation. You will have access to expertise in Clinical Statistics, Statistical Modelling and Real-World Evidence.

Topic:

• Context: Treatment effects in clinical studies are affected by natural variability in the population, adding to uncertainty in estimation. Classic analysis approaches often only adjust for a small number of patient characteristics to account for this.

• Solution: PROCOVA is an innovative analysis approach using patient-based prognostic scores derived from multiple patient characteristics. Adjustment by these scores allows for more precise estimation and increase in power, potentially leading to smaller sample sizes

Your task

• Develop and implement a PROCOVA score for Hidradenitis Suppurativa

• Prepare extensive datasets available from Placebo patients collected in multiple clinical studies (i.e. selection of relevant studies, dataset creation following programming standards)

• Systematic analysis and documentation of patient characteristics and data limitations

• Implement various prognostic models using different methodological approaches

• Perform evaluation and comparison of models using real clinical data

• Document and present results and recommend actions for future PROCOVA modelling

Requirements & Qualification

• You are in your studies of Statistics, Data Science, Mathematics (or similar) and you have to write your masters thesis (please let us know the processing time for the thesis according to your examination regulations)

• Good programming knowledge in R is a requirement, SAS is an advantage. Experience with GitHub is desirable

• A plus: Experience in working with medical data and Machine Learning

• Keen interest in pharmaceutical processes

• Ability to work independently and as a team player

• Highly motivated analytical problem solver with a keen eye for detail and a strong self-motivation 

• Excellent communication skills

• Fluent spoken and written English (required) and German

​Why choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team 

• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally

• Benefit from our mobile office policy working up to 60% hybrid, depending on the area of assignment, within Germany

• Play an instrumental part in creating best practice

• Start your career at an attractive location in the center of Germany and experience our modern working environment

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