Digital Biomarker Biomedical Engineer (6186)

The Life Science Career Network– CTC are specialised industry experts who can help companies source the best talent and provide reliable HR and consulting services, support varied candidates in finding promising career opportunities and offer the latest in skill development training programmes.

Digital Biomarker Biomedical Engineer – 6186 ASH

Our client is a pioneer in Drug Discovery and Development and one of the frontrunners in Personalised Healthcare. As the world’s largest R&D spender in the pharmaceutical and diagnostics domain, they work in a vast number of drug discovery & therapeutic areas and are highly recognized internationally.

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. This role is initially a 12 months contract based in Basel area with good chances of extension.

Main 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.

Qualifications and Experience:

• Relevant Swiss working/residency permit or Swiss/EU-Citizenship required.
• Master’s degree 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.

Would you like to learn more about CTC and the opportunity outlined? Please, get in contact with us: you may either use the ‚apply now‘ button, or write an email to us, or reach out to us on the phone.

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