Postdoc: Wearable Data Science for Cardiometabolic Health

University of Copenhagen; København; On-site; DKK 420,000 - 540,000; Full time

Job summary

University of Copenhagen is seeking a highly motivated Postdoc to join the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR). The role focuses on integrating wearable and omics data to advance cardiometabolic health using advanced statistical and machine learning methods.

The successful candidate will develop interpretable models for long glucose sequences, relate subtypes to disease progression, and collaborate across disciplines.

Qualifications

• PhD in biostatistics, bioinformatics, computer science, data science, epidemiology, or related field.
• Experience analyzing high-resolution time-series data, wearables or CGM preferred.
• Strong machine-learning skills, including deep learning for sequential data; experience with large datasets.

Responsibilities

• Develop new statistical and machine-learning methods to analyze high-resolution CGM data.
• Integrate CGM with other digital health data and omics layers to study dysglycaemia.
• Produce open-source software for use by researchers and clinicians.

Skills

Biostatistics

Bioinformatics

Machine learning

Time-series analysis

Programming (Python/R)

Data integration

Communication in English

Supervision

Education

PhD in a quantitative field

Tools

Python

R

Job description

University of Copenhagen is seeking a highly motivated Postdoc to join the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR). The role focuses on integrating wearable and omics data to advance cardiometabolic health using advanced statistical and machine learning methods.

The successful candidate will develop interpretable models for long glucose sequences, relate subtypes to disease progression, and collaborate across disciplines.