AI/ML Engineer - Entry Level

Battelle • Columbus, OH

6d • Hybrid

About The Position

Battelle is seeking an AI/ML Engineer – Entry Level to help improve laboratory efficiency through practical AI, automation, and data solutions. Working alongside scientists, technicians, quality staff, and technology teams, this role will identify repetitive or time-consuming work and develop tools that simplify laboratory workflows, reduce manual and redundant efforts, improve data quality, and support faster, more consistent operations — while capturing data for use in larger AI and machine learning initiatives. This is a hands-on learning role. Initial projects may include AI-assisted data review, sample and inventory tracking, workflow automation, dashboards, laboratory scheduling, document search, and tools that help staff access and use laboratory information more effectively.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Chemistry, Biology, Laboratory Science, or a related field; or an equivalent combination of education and experience.
• Zero to two years of relevant experience, including internships, co-ops, research, coursework, or significant projects.
• Interest in applying AI, data, software, or automation to improve laboratory operations.
• Foundational experience with one or more of the following: Microsoft Power Platform, generative AI tool use and development, Python, SQL, data visualization, workflow automation, or application development.
• Ability to learn laboratory processes, collaborate with end users, solve practical problems, and communicate clearly.
• Basic understanding of data quality, testing, documentation, and the responsible use of technology.
• Authorization to work in the United States.

Nice To Haves

• Laboratory, research, manufacturing, environmental, healthcare, or other technical operating experience.
• Exposure to LIMS, electronic laboratory notebooks, scientific instruments, sample tracking, inventory, or quality systems.
• Experience developing AI-assisted tools, prompts, workflows, dashboards, or applications through coursework or projects.
• Familiarity with Lean, Six Sigma, process mapping, root-cause analysis, Git, APIs, or cloud services.

Responsibilities

• Develop and deploy practical AI and automation solutions that enhance laboratory operations and data quality.
• Assist with building practical AI tools, low-code applications, dashboards, forms, and automated workflows using approved platforms.
• Help organize and analyze laboratory data to improve sample tracking, inventory, scheduling, instrument utilization, reporting, and turnaround time.
• Learn and document laboratory workflows to identify bottlenecks, manual steps, and opportunities for AI or automation.
• Use approved tools such as Microsoft Copilot, Copilot Studio, Visual Studio, Power Automate, Power Apps, Power BI, SharePoint, Python, and SQL.
• Support integration among laboratory systems, instrument data, spreadsheets, databases, and business applications.
• Help develop and maintain internal data management systems and electronic notebooks across multiple laboratory environments.
• Participate in requirements gathering, testing, validation, documentation, training, and end-user support.
• Capture and report metrics such as time saved, reduced manual entries, fewer errors, improved data access, and increased user adoption.
• Follow requirements for cybersecurity, data protection, responsible AI, quality, safety, and change control within both internal and client frameworks.

Benefits

• Compressed work schedule with every other Friday off.
• Hybrid work arrangement (60% in-office, 40% remote).
• Paid time off.
• Medical, dental, and vision coverage with wellness incentives.
• Optional supplemental benefits.
• Coverage for partners, gender-affirming care and health support, and family formation support.
• 401(k) retirement savings plan with employer contribution.
• Tuition assistance.

What This Job Offers

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