Digital Biomarker - Biomedical Engineer (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 Biomedical Engineer.
The perfect candidate has a PhD or a Master's degree in biomedical engineering and minimum 3-5 years experience with time-series analysis techniques such as FFT, peak detection, filtering. Knowledge of applying statistical methods for e.g. ICC, Bland-Altmann plots, linear mixed models is required as well as proficiency with Python.
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 Biomedical Engineer.
The perfect candidate has a PhD or a Master's degree in biomedical engineering and minimum 3-5 years experience with time-series analysis techniques such as FFT, peak detection, filtering. Knowledge of applying statistical methods for e.g. ICC, Bland-Altmann plots, linear mixed models is required as well as proficiency with Python.
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:
- Support the digital biomarker evidence generation activities with data analysis and statistical expertise
- Perform sensor time-series analysis to improve and validate digital biomarker algorithms
- Support the organization and documentation of data coming from various sources and systems to facilitate the data analysis efforts
- 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 sensor data processing pipelines
- Contribute to analytical validation analyses
Must Haves:
- Master's degree in preferred: biomedical engineering (alternatively: statistics, computer science, engineering or related technical fields)
- Minimum 3-5 years experience with time-series analysis techniques such as FFT, peak detection, filtering, optimal: applied to IMU data from wearables or smartphones
- Knowledge of applying statistical methods for e.g. ICC, Bland-Altmann plots, linear mixed models
- Proficient with Python (e.g. Pandas, SciPy, matplotlib, seaborn)
- 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, ...)
- Excellent English communication skills, both written and spoken
Nice to Have:
- Experience with time series data originating from digital sensors (e.g. inertial sensor data)
- 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
