Digital Biomarker Data Scientist

The Life Science Career Network

CTC are specialized industry experts who can help companies source the best talent and provide reliable HR and consulting services.

For our client, a leading Global Pharmaceutical company in the Basel area, we are looking for a

Digital Biomarker Data Engineer (6184)

in a contractor setting for intially 12 months, extension possible.

The dedicated department co-creates innovative digital biomarker concepts for sensitive and meaningful drug development endpoints, implement them in technology solutions, develop health related outcome measures with the data, seek community- and regulatory acceptance of corresponding endpoints and offer them to Biopharma companies and research institutes for use in clinical trials.

In the data insight-subchapter, amongst other things, it supports the analysis of longitudinal studies leveraging theirdigital biomarker solutions.

Main Responsibilities

• Analyze clinical & digital biomarker data from various studies to develop and improve digital biomarker solutions.
• Support digital biomarker evidence generation activities with statistical modeling & analysis expertise.
• Be responsible for a work package: break down a business question into planned work, following up of work in progress, risk assessment, communicating on progress and results, reading literature, writing reports and publications
• Contribute to development and maintenance of statistical analysis pipelines.
  
  

Your Profile

• Min. Master’s degree in biomedical engineering, bioinformatics, statistics, computer science, engineering or related technical fields
• Min. 3y in depth knowledge of applying statistical methods such as linear mixed effect models, mixed models for repeated measurements and survival analyses
• Proficient with Python and R (Raw String) (e.g. Pandas, SciPy, mmrm, lme4, matplotlib, seaborn, plotly, ggplot)
• Sound knowledge of best software development practices: unit testing, documentation, version control
• Being able to discuss with and understand various stakeholders (data scientists, clinical managers, biostatisticians, business development managers, …)
• Strong analytical and statistics skills combined with conceptual thinking and structured working style
• Excellent English communication skills, both written and spoken
• Experience with regulatory frameworks such as V3+
• Disease and clinical trial knowledge, especially in movement disorders
• Experience with working in a cloud environment
  
  

Interested? Contact me