Senior Data Scientist - Remote

Position: Senior Data Scientist - USA Remote
Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?  

Within Danaher the work our diagnostic businesses do saves lives-and we're all united by a shared commitment to innovate for tangible impact.

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.

We're accelerating the development of cutting-edge diagnostics to solve some of the world's most pressing health challenges. Across our diagnostics operating companies we are driving innovation through partnerships with top academic institutions and leading players in biopharma and translational research. We're bringing the best minds together to accelerate innovation and unlock the full potential of the latest scientific advances. Together, we're expanding access to precision diagnostics for millions of people worldwide - and we're using our unmatched global scale and proven playbook to make it happen, from hospital labs to mobile clinics.

By helping providers, patients, and families get faster, more precise diagnostic results, we're improving treatment options and saving lives.

Learn about the Danaher Business System ()  which makes everything possible.

The Senior Data Scientist, Diagnostics Platform supports the Diagnostics Platform by contributing to the strategy, development, and operationalization of large language models (LLMs), agentic AI, and image AI solutions. In this role, you will help build multimodal datasets, develop production-grade models, contribute to RAG pipelines and agent workflows, and integrate insights into products, clinical, regulatory, and post-market evidence programs. The role works cross-functionally with clinical, R&D, regulatory/quality, medical affairs, IT/security, and Operating Companies to deliver measurable patients and business impact.

This position reports to the Director, Data Science and is part of the Diagnostics Platform and will be fully remote.

In this role, you will have the opportunity to:

+ Lead assay development optimization and R&D process acceleration using advanced statistical and ML methods (e.g. Bayesian optimization).

+ Conduct RWE analytics of EHR/claims/registries/device telemetry to drive biomarker discovery and development, and support dataset curation across text, tabular, device logs, lab results, and EHR/claims.

+ Implement reliable and reproducible AI frameworks that improve diagnostic performance analytics, workflow efficiency, labeling/claims support, HEOR/RWE insights, image processing, and customer experience.

+ Contribute to the development of solutions on Azure, Snowflake/Databricks, vector databases, and enterprise content platforms (SharePoint, Confluence).

+ Translate analyses into clear, concise narratives, dashboards, and cross‑functional updates, and collaborate with clinical, regulatory, R&D, IT, and academic partners as needed.

The essential requirements of the job include:

+ Master's or PhD in Biomedical Engineering, Biostatistics, Bioinformatics, Computer Science, Data Science, or related fields.

+ 3+ years of combined industry and/or postdoctoral research experience in Med Tech, diagnostics, biopharma, or applied AI domains.

+ Hands-on proficiency in Python/R and modern ML frameworks; familiarity with DoE (design of experiments), Bayesian optimization, causal, survival, and longitudinal methods.

+ Experience working with RWE/RWD datasets (EHR, claims, registries, device logs).

Travel, Motor Vehicle Record & Physical/Environment Requirements:

+ Ability to travel - 10%

It would be a plus if you also possess previous experience in:

+ Background in oncology, infectious diseases, acute care, or neurodegenerative disorders.

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Experience with imaging data (WSI/IHC and/or CT/PET/MRI) and LLM-based systems (Agents, RAG, fine tuning, prompt engineering)

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Experience with Azure OpenAI, Snowflake, coding agents (e.g Claude Code, VS Code, Codex), Llama/Mistral, MLflow, Delta Lake, Hugging Face, and large scale model deployment.

Within Danaher Diagnostics,…