Senior Data Scientist - USA Remote

Danaher Corporation

20h • Remote

About The Position

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.

Requirements

• 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 MedTech, 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).
• Ability to travel – 10%

Nice To Haves

• Background in oncology, infectious diseases, acute care, or neurodegenerative disorders.
• Experience with imaging data (WSI/IHC and/or CT/PET/MRI) and LLM-based systems (Agents, RAG, finetuning, prompt engineering)
• Experience with Azure OpenAI, Snowflake, coding agents (e.g Claude Code, VS Code, Codex), Llama/Mistral, MLflow, Delta Lake, Hugging Face, and largescale model deployment.

Responsibilities

• 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.

Benefits

• Within Danaher Diagnostics, we offer a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job.
• Check out our benefits at Danaher Benefits Info.
• Within Danaher Diagnostics we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement.
• This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team.
• Explore the flexibility and challenge that working within Danaher Diagnostics can provide.
• We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level