Lead AI Scientist

Danaher Corporation

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Boston, MA
Salary: $175,000–$200,000 / yr
Employment: Full-time
Posted: 18 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k

This role $188k

$153k $276k

below market most similar roles pay here above market

This role pays less than 67% of similar roles. Most pay $179,050–$255,000 — the blue band above. At the midpoint, this role pays about $188k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Danaher Corporation

Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.

Danaher Corporation currently has 71 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 41 roles with salary data.

Most-posted roles

View all roles at Danaher Corporation

At a glance

TL;DR · Lead AI Scientist

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The Lead AI Scientist joins the DHR Enterprise AI Solutions team to identify, build, and scale reusable AI solutions across life sciences, diagnostics, and biotechnology. This hands-on technical role involves exploring emerging AI methods to address high-value scientific, operational, and commercial challenges. You will design rigorous experiments, benchmarks, and evaluation approaches to turn promising research into practical, industrializable capabilities. Key responsibilities include developing novel modeling, reasoning, retrieval, or agentic approaches and translating research findings into production-minded prototypes. The role requires deep expertise in machine learning, generative AI, statistical methods, and experimental design. Candidates must demonstrate proficiency in Python, modern AI frameworks, and cloud or compute environments. You will communicate complex scientific concepts to diverse audiences while mentoring colleagues in advanced AI practices.

Skills

Python Generative AI Machine Learning AI Algorithms Statistical Methods Experimental Design Data Science Retrieval Mathematics Physics

What you'll do

Identify and investigate emerging AI methods to address scientific, operational, or commercial challenges.
Design rigorous experiments, benchmarks, and evaluation approaches to clarify capabilities and risks.
Develop and test novel modeling, reasoning, retrieval, or agentic approaches with software engineers.
Translate research findings into clear recommendations, reusable methods, and production-minded prototypes.
Communicate complex scientific concepts to both technical and business audiences.
Mentor colleagues in advanced AI practices and provide hands-on technical execution in Python.

What we're looking for

Minimum master’s degree in a relevant field like AI, data science, machine learning, computer science, mathematics, or physics.
Approximately five years of experience following a master’s degree, though PhD work may satisfy this requirement.
Strong expertise in machine learning, generative AI, statistical methods, and experimental design.
Hands-on proficiency with Python, modern AI frameworks, evaluation methods, and relevant cloud or compute environments.
Ability to translate emerging research into reproducible experiments and practical enterprise applications.
Excellent written and verbal communication skills for research, engineering, and business audiences.
Ability to travel up to 10% domestically and internationally as needed.