Digital Biomarker Algorithm R&D Manager

The Position

Digital health technology is transforming the way we develop personalized medicines for patients. Roche is dedicated to creating community- and regulator-accepted digital endpoints and digital outcomes that redefine the way we measure disease progression in clinical drug trials and make them accessible to Biopharma companies and the research community. We are looking for an Algorithm R&D leader to co-create and drive the development and application of signal processing algorithms on sensor data collected in multiple disease areas to accelerate the development of novel digital biomarker data insight products.

Job Mission

We, the Digital Biomarker (dBM) Global Area in Roche Information Solutions, are an integrated team of scientists, technologists, data analysts and operationalization experts, that leverages mobile technologies like smartphones and wearables to collect objective and continuous sensor data from patients in clinical trials.

We co-create innovative digital remote monitoring 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. Moreover, we are establishing the scientific foundations for disease monitoring and screening solutions in clinical practice.

Your impact

As the Digital Biomarkers Algorithm R&D Manager in the digital biomarker data insights subchapter you will :

• Be the scientific product owner of our library of signal processing algorithms to extract meaningful features from raw sensor data collected with our digital health technology tools

Oversee and develop novel and improve existing algorithms

Develop and execute strategies for validation of algorithms and devices

Co-develop the roadmap for library maintenance and extension together with the technical product owner of the library

Support and build the lifecycle of algorithm development from early research up to a computer system validated algorithm to be used in our products

Work together with the dBM scientific solutions lead and the dBM data solutions lead to support the development of novel data insights products around our digital health technology tools

Support the UI / UX design of novel digital health technologies to ensure meaningful data collection from an algorithmic perspective

Scientifically support of customer interactions by providing Data Analysis support for customer questions and supporting development of material for sales collateral

Must Haves :

Very good university degree in engineering, mathematics, statistics, natural science or informatics

5+ year of hands-on experience with signal processing accelerometer, gyroscope, audio ) of data collected with digital health technologies, optimally collected in neurological diseases in a clinical trial context

Understanding of the V3 framework and similar approaches

Track record of algorithm validation

ML / AI experience

Experience in working in a goal-oriented manner with the customer in mind

Strong experience with analyzing and visualizing large data sets

Experience of working collaboratively within a large team and managing your time against competing demands

Track record of writing compelling publications in high impact, peer reviewed journals

Profound knowledge in Python (optional : R or similar software packages / languages)

Excellent in English; excellent writing skills