Lead Biomedical Data Scientist: Signals & Health AI

Carbon Data Solutions; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Sponsor-backed role

Embedded with pharma client

Job summary

Carbon Data Solutions is seeking an experienced Data Scientist/ML Engineer in the US to support clinical studies and health research. The role focuses on integrating biomedical signal analysis, probabilistic modelling, and scalable data pipelines to extract reproducible insights from high-frequency data, including electrophysiological, wearable signals, and EHR data.

The position is sponsor-dedicated, embedded with a pharmaceutical client, with Cytel backing the effort and Himalayas originally

Qualifications

• Experienced data scientist, ML engineer or computational scientist focusing on signal processing, ML and clinical data science.
• Ability to integrate biomedical signal analysis, probabilistic modelling and scalable data pipelines.
• Experience with high frequency biomedical signals including electrophysiological and wearable-derived data.

Responsibilities

• Provide technical expertise in integrating biomedical signal analysis, probabilistic modelling and scalable data pipelines.
• Ensure high-quality, reproducible insights from complex biomedical data to support clinical studies and health research.

Skills

Signal processing

ML engineering

Clinical data

Probabilistic modelling

Biomedical data

Data pipelines

High-frequency data

Tools

Python

TensorFlow

PyTorch

SQL

Job description

Carbon Data Solutions is seeking an experienced Data Scientist/ML Engineer in the US to support clinical studies and health research. The role focuses on integrating biomedical signal analysis, probabilistic modelling, and scalable data pipelines to extract reproducible insights from high-frequency data, including electrophysiological, wearable signals, and EHR data.

The position is sponsor-dedicated, embedded with a pharmaceutical client, with Cytel backing the effort and Himalayas originally