Jobs · Analyst · New York

Reliability Scientist

Corning Incorporated · Corning, NY · 1 mo ago
Analyst$64k–$88k/yrFull-time

About the role

The Reliability Scientist will support the operational and project work that keeps the reliability team running. About half the role involves hands-on execution—organizing samples, preparing data, and producing technical reports that drive decisions. The other half involves project work that grows over time based on team priorities and individual strengths.

Responsibilities

  • Organize and track samples, test requests, and technical documentation across multiple reliability workstreams
  • Compile and analyze reliability data, and produce clear technical reports, summaries, and presentations
  • Support sample preparation and readiness for reliability testing and analysis
  • Manage follow-up actions, timelines, and open items across team priorities
  • Contribute to reliability assessments, investigations, and project work—scope expanding over time based on capability and team need

Requirements

  • Bachelor's degree in materials science, engineering, chemistry, physics, or a related technical field — or equivalent relevant experience
  • Experience with data analysis, spreadsheets, and technical reporting or documentation
  • Strong organizational skills and attention to detail across multiple concurrent assignments
  • Clear written and verbal communication skills
  • Ability to manage shifting priorities and bring structure to work that is not always fully defined

Qualifications

  • Experience in a laboratory, engineering, manufacturing, or product development environment
  • Exposure to reliability testing, failure analysis, or technical project support
  • Familiarity with statistical or data analysis tools (e.g., JMP, Minitab, Excel)
  • Experience coordinating cross-functional technical work or project follow-through

Skills

Not specified

Benefits

Not specified

Pay

$64,173.00 - $88,238.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.

Schedule

Not specified

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