Jobs / Summary

Senior Data Scientist - Biomarker Research (Part/Full-time)

Confidential company · Munich · Posted Jun 15, 2026

Public summary

Seeking a Senior Data Scientist with a focus on biomarker research to conduct data processing, develop predictive models, and support clinical and non-clinical development phases. The role involves statistical programming, study design assistance, and direct client consulting within an interdisciplinary team in the healthcare sector. Candidates should have advanced statistical expertise, experience in clinical research, and proficiency in R (SAS a plus). English is required, German is advantageous. Flexible work arrangements including partial remote work from anywhere in Germany are offered.

Location and work setup

Location
Munich
Remote status
Remote
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Hands-on data processing and analysis of clinical and biomarker project data; development of predictive models; identification of subgroups; cutoff determination using statistical methods; statistical programming and development of reusable tools; data visualization and program validation; supporting clinical and non-clinical study planning including protocol and study design, sample size calculation, reporting, and analysis plans; customer consulting and acting as a direct point of contact.

Qualifications

Master's degree or PhD in statistics, mathematics, data science, or equivalent; minimum three years professional experience in data analysis and clinical research; strong expertise in basic and advanced statistical methods (e.g., multivariate statistics, mixed models); proficiency in R programming (SAS is a plus); quick analytical thinking; precise and accurate working style; team player with high initiative; good English skills required, German skills advantageous.

Skills

data processing data analysis predictive modeling statistical methods statistical programming R programming SAS data visualization clinical research study planning customer consulting biomarker research multivariate statistics mixed models