Digital Biomarker - Data Scientist (m/f/d)
Infos sur l'emploi
- Date de publication :06 novembre 2024
- Taux d'activité :100%
- Type de contrat :Temporaire
- Langue :anglais (Courant)
- Lieu de travail :Basel
Jobdescription
For our client, an international pharma company in Basel, we are looking for a motivated Digital Biomarker Data Scientist.
The perfect candidate has minimum a Master's degree in biomedical engineering, bioinformatics, statistics, computer science, engineering or related technical fields or is holding a PhD. The candidate has at least 3 years experience and in depth knowledge of applying statistical methods such as linear mixed effect models, mixed models for repeated measurements and survival analyses. The candidate needs to be proficient with Python and R (Raw String) and a sound knowledge of best software development practices.
General Information:
Tasks & Responsibilities:
Must Haves:
Nice to Have:
For our client, an international pharma company in Basel, we are looking for a motivated Digital Biomarker Data Scientist.
The perfect candidate has minimum a Master's degree in biomedical engineering, bioinformatics, statistics, computer science, engineering or related technical fields or is holding a PhD. The candidate has at least 3 years experience and in depth knowledge of applying statistical methods such as linear mixed effect models, mixed models for repeated measurements and survival analyses. The candidate needs to be proficient with Python and R (Raw String) and a sound knowledge of best software development practices.
General Information:
- Start date: asap / 01.01.2025
- Latest Start Date: 01.03.2025
- Planned duration: 1 year after start date
- Extension: possible
- Workplace: Basel
- Workload: 100%
- Home Office: Yes, max. 50%
- Travel: no
- Working hours: Standard
Tasks & Responsibilities:
- Analyze clinical and digital biomarker data from various studies to develop and improve our digital biomarker solutions.
- Support the digital biomarker evidence generation activities with statistical modeling and 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.
Must Haves:
- Minimum Master's degree in biomedical engineering, bioinformatics, statistics, computer science, engineering or related technical fields
- Minimum 3 years experience and 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
Nice to Have:
- Experience with regulatory frameworks such as V3+
- Disease and clinical trial knowledge, especially in movement disorders
- Experience with working in a cloud environment
Marta Tomczyk
