Research Scientist ( 82594173 )

Reliance Industries Limited

Vadodara

On-site

INR 1,200,000 - 1,800,000

Full time

4 days ago
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Job summary

Reliance Industries Limited in Vadodara seeks a Research Scientist to contribute to R&D programs by applying advanced scientific knowledge to solve complex problems. You will design and execute experiments, analyze data, and translate findings into scalable solutions with cross-functional teams.

PhD in Engineering or Science is required, with 0–3 years of hands-on research experience, publications or theses preferred.

Qualifications

  • PhD in Engineering/Science is required.
  • 0–3 years of hands-on experimental research experience.
  • Publications, patents, or thesis work preferred.

Responsibilities

  • Design and execute experiments, simulations, or studies aligned with project objectives.
  • Analyze experimental data and generate insights, conclusions, and recommendations.
  • Conduct literature reviews and technology scans to support research direction.
  • Develop and optimize processes, materials, or formulations where applicable.
  • Document research findings through reports, presentations, and technical papers.
  • Collaborate with cross-functional teams to translate research into practical applications.

Skills

Experimental design
Data analysis
Scientific writing
Cross-functional collaboration
Documentation skills
Instrumentation familiarity

Education

PhD in Engineering/Science

Tools

Statistical software
Lab instrumentation

Job description

  • Purpose of the Role - The Research Scientist is responsible for contributing to research and development programs by applying advanced scientific knowledge to solve complex technical problems. The role involves designing and executing experiments, generating insights, and supporting the development of new products, processes, or technologies. The individual works closely with cross-functional teams to translate research outcomes into scalable solutions.
  • Key Responsibilities
  • Design and execute experiments, simulations, or studies aligned with project objectives
  • Analyze experimental data and generate insights, conclusions, and recommendations
  • Conduct literature reviews and technology scans to support research direction
  • Develop and optimize processes, materials, or formulations (as applicable)
  • Document research findings through reports, presentations, and technical papers
  • Collaborate with cross-functional teams to translate research into practical applications
  • Identify and troubleshoot technical challenges during experimentation
  • Maintain accurate and structured records of experiments and results
  • Support scale-up, validation, and implementation of developed solutions
  • Contribute to innovation pipelines by generating and evaluating new ideas
  • Ensure adherence to safety, quality, and compliance standards in all research activities
  • Utilize analytical tools, software, and instrumentation effectively
  • Present findings to internal stakeholders and participate in technical reviews
  • Stay updated with advancements in the relevant scientific field
  • Contribute to continuous improvement of research methodologies and practices
Education Requirement :

PhD in Engineering / Science
(e.g., Chemical, Polymer, Materials, Mechanical, Biotechnology, or related disciplines)

Experience Requirement :
  • 0#3 years of experience (including doctoral research)
  • Hands-on experience in experimental research, data analysis, and technical problem-solving
  • Publications, patents, or thesis work in relevant domain preferred
Skills & Competencies :
  • Strong scientific and analytical thinking
  • Proficiency in experimental design and data analysis
  • Ability to solve complex technical problems with a structured approach
  • Good written and verbal communication skills
  • Strong documentation and reporting skills
  • Familiarity with scientific tools, instrumentation, and software relevant to the domain
  • Curiosity and innovation mindset
  • Ability to work collaboratively in cross-functional teams
  • High attention to detail and quality orientation
  • Good time management and execution discipline
  • Basic understanding of scaling research to industrial applications (desirable)
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