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Digital Biomarker - Biomedical Engineer (m / f / d)
FLEXSISBasel, CHIl y a 14 jours
Type de contrat
- Temps plein
Description de posteMaster'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 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
EINFÜHRUNG :
As a preferred supplier for Roche Basel, we are looking for an individual as
Digital Biomarker - Biomedical Engineer (m / f / d)
This is a full-time position with the start date on 01.01.2025 or 01.03.2024 at the latest and a one-year duration. Remote / Home Office : max. 50%.
AUFGABENBESCHREIBUNG :
- 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
ERFORDERLICHES PROFIL :
Nice to Have :
Application process
Interested? Please apply via the "Bewerben" button below and answer all questions, otherwise we will be unable to process your application. Please upload your CV in English, along with your degree certificate and latest reference letter.