Base: $150,000 to $170,000 annually; bonus/equity:...
Fully remote
Master's or phd in related field
3+ years medtech or diagnostics experience
Python/r proficiency with modern ml frameworks
Danaher is seeking a Senior Data Scientist to join their fully remote team, focusing on the development of advanced diagnostics solutions within life sciences and biotechnology. The ideal candidate should possess a strong background in data science and applied AI, particularly in the context of medical technologies
Job Summary
This role supports the Diagnostics Platform by contributing to the strategy and operationalization of large language models and agentic AI solutions.
You will lead assay development optimization and conduct real-world evidence analytics to drive biomarker discovery across text, tabular, and device log datasets.
The position offers a competitive annual salary range of $150,000 to $170,000 along with comprehensive benefits including medical/dental/vision insurance and 401(k).
Matching Summary
Match Score: 85
Danaher is seeking a Senior Data Scientist to join their fully remote team, focusing on the development of advanced diagnostics solutions within life sciences and biotechnology. The ideal candidate should possess a strong background in data science and applied AI, particularly in the context of medical technologies.
Salary
Base: $150,000 to $170,000 annually; Bonus/Equity: Eligible for bonus/incentive pay; Benefits: Paid time off, medical/dental/vision insurance, 401(k)
Skills & Requirements
Must-have
Master's or PhD in related field
3+ years MedTech or diagnostics experience
Python/R proficiency with modern ML frameworks
Experience with EHR, claims, and device logs
Knowledge of DoE and Bayesian optimization
Nice-to-have
Background in oncology or infectious diseases
Experience with imaging data like WSI or CT
Familiarity with Azure OpenAI and Snowflake
Experience with Llama/Mistral models
Knowledge of MLflow and Delta Lake
Key Requirements
Master's or PhD degree required
3+ years industry or postdoctoral research experience
Proficiency in Python/R and ML frameworks
Experience with RWE/RWD datasets
Knowledge of causal, survival, and longitudinal methods