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R&D Engineer

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: MillenniumSoft Inc
Full Time position
Listed on 2026-06-13
Job specializations:
  • Engineering
    Research Scientist, Biomedical Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Client: Medical Device Company

Employment Type: Contract on W2 (Need US Citizens Or GC Holders Only)

Job Title: R&D Engineer

Location: Research Triangle Park, NC

Duration: 12+ Months Contract

Hours per Week: 40.00

Shift: 1st Shift

Onsite position (M-F). The Engineer will be part of a multi‑disciplinary Innovation team supporting a variety of medical technologies and solutions with an initial focus on new drug delivery systems. Reporting to the Senior Manager of Innovation, this is a technical position where the engineer will contribute significantly to exciting, high‑visibility projects and collaborations across the R&D portfolio. The successful candidate will be responsible for planning and executing key project deliverables, which includes generating creative solutions to complex technical problems.

An aptitude for technological program management and communication to both internal and external stakeholders is required. A professional background in biotechnology and/or medical device design is strongly preferred. The ideal candidate should have a working knowledge of engineering design, computational modelling, analytical techniques, biology, and human physiology to solve multidisciplinary biomedical problems. The Engineer must be able to effectively collaborate with team members from varying backgrounds and should have strong oral and written communication skills.

The successful candidate will have an interest in technically contributing to areas beyond medical devices and drug delivery systems over time due to the dynamic nature of the Innovation team and its programs.

Job Responsibilities
  • Design and conduct appropriate experiments (benchtop and in vivo) to characterize the performance of medical technologies, which may include protocol and novel method development.
  • Provide technical direction to advance medical device design, including ideation, prototype development, and bench/in vivo evaluations.
  • Conduct data and statistical analysis efforts of experimental results to generate conclusions to drive project directions.
  • Communicate results effectively (oral and written) to key stakeholders of varying technical abilities.
  • Understand customer needs through literature review, technology assessments, and ethnographic research.
  • Collaborate with cross‑functional team members to develop technology solutions that address prioritized unmet needs.
Education & Experience
  • Degree in engineering (biomedical, mechanical, etc.) or science discipline (chemistry, biology, etc.). Advanced degree preferred.
  • PhD, MS + 2 years of relevant industry experience, or BS + 4 years of relevant industry experience is required.
  • Experience in experimental design, data analysis, statistics, and technical writing.
  • Experience working within a matrixed organization is preferred.
Knowledge & Skills
  • Ability to plan and conduct scientific experiments and effectively analyze, interpret, report, and present experimental results.
  • Experience contributing to multidisciplinary teams, including the ability to influence without direct reporting ties.
  • Experience with in vivo animal models and medical device development.
  • Ability to translate an issue or problem statement into study strategy.
  • Ability to adapt quickly to changes in program and project priorities.
  • Strong oral and written communication skills and team collaboration.
  • Preferred:
    Experience working under a quality system.
  • Preferred:
    Knowledge of drug delivery systems.
  • Preferred:
    Image processing and analysis.
  • Preferred:
    Programming (e.g., Python, Matlab) and/or graphical design (e.g., Solid Works or other equivalent 3D modeling).
  • Preferred:
    Knowledge of statistics and use of statistical packages for analyzing datasets.
Work Environment

The candidate is expected to work in a research lab environment and may require working with chemicals, in vivo models, and biological materials (blood, tissues, etc.).

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