Digital Biomarker Data Scientist — Flexible Hours & Remote

Roche; Wien; On-site; EUR 39,000 - 53,000; Full time

Benefits offered by this job

Apple hardware

Fitness benefits

Public transport support

Lunch benefit

Language classes

Training budget

Global conferences

Job summary

Roche is seeking a data science expert to drive statistical validation of digital biomarkers within Navify, focusing on Parkinson’s and Huntington’s disease. You will lead analyses, design validation plans, and collaborate with biopharma clients to implement endpoints that support regulatory submissions.

You will work from our Vienna site, leveraging mobile sensor data and real-world endpoints to advance drug development.

Qualifications

• Advanced degree in a quantitative field such as data science, statistics or biostatistics.
• 5+ years hands-on data science or biostatistics experience, with digital health focus.
• Expertise in validation methodologies (analytical/clinical) and longitudinal modeling.
• Excellent written and spoken English with publications or presentations.

Responsibilities

• Lead statistical analyses to establish validity and responsiveness of digital endpoints from mobile tech.
• Design SAPs for clinical validation studies using longitudinal modeling.
• Develop strategies to handle remote sensor data challenges and missing data.
• Align validation workflows with DiME V3 and FDA DHT guidance.

Skills

Data science experience

5+ years

Python (or R)

Education

Master’s or Ph.D. in Data Science/Statistics/Biostatistics/Applied Mathematics

Tools

Python

R

Job description

Roche is seeking a data science expert to drive statistical validation of digital biomarkers within Navify, focusing on Parkinson’s and Huntington’s disease. You will lead analyses, design validation plans, and collaborate with biopharma clients to implement endpoints that support regulatory submissions.

You will work from our Vienna site, leveraging mobile sensor data and real-world endpoints to advance drug development.