36 applicants

Company

Original Job Post

Roche · 2 days ago

Digital Biomarker Data Scientist

Indianapolis, IN

Full-time

Onsite

Senior Level

5+ years exp

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Comp. & Benefits

Insider Connection @Roche

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Responsibilities

You co-develop data insights features and products around digital health solutions - in close collaboration with other science and product stakeholders

You advance data analysis at the intersect of digital biomarker and established clinical data

Co-develop and execute data analysis plans around the clinical validation of digital features/scores derived from digital health solutions

Fuel the pipeline of algorithms that change the way people are living with diabetes

Demonstrate the scientific evidence

Be the interface to other internal and external data science teams working on related topics and data

Deliver scientific data analysis support for regulatory interactions, development of material for marketing and sales collateral, customer support, and scientific advisory meetings

Lead data analysis activities in diverse matrix teams

Drive the understanding of data analysis results by product development programs through the development of compelling narratives and presentations

Write manuscripts for peer-reviewed journal articles to establish the biological, clinical, and patient relevance of data collected in novel digital biomarker approaches

Innovate and bring forward creative solutions in your area of responsibility and beyond

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceDigital Biomarker DataMachine LearningAILongitudinal AnalysisValidation AnalysisRegulatory RequirementsSoftware as a Medical DevicePythonRSoftware PackagesMathematicsStatisticsInformaticsSignal ProcessingDiagnosticsPharmaceuticalMedical Device Industry ExperienceProblem-SolvingGoal-OrientedCollaborativeTime Management

Required

University degree in engineering, mathematics, statistics, natural science or informatics

5+ year of hands-on experience in data science (optional: signal processing) on digital biomarker data preferably in the diagnostics / pharmaceutical / medical device environment

Knowledge on Machine Learning/AI

Methods for longitudinal analysis of read-outs derived from DHTs

Knowledge on validation analysis methodologies

Understanding of regulatory requirements for digital health technologies and Software as a medical device (SaMD)

Profound knowledge in Python, R or similar software packages/languages

Goal-oriented way of working - always with the customer and patient in mind

Used to work collaboratively within changing, agile, large, multinational teams in multiple location and managing your time against competing demands