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