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Lifecycle Quality Analyst III – Scientific

Job in Silver Spring, Montgomery County, Maryland, 20900, USA
Listing for: GAMA-1 Technologies
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Lifecycle Quality Analyst III – Scientific Applications

Summary

GAMA-1 Technologies, LLC seeks an experienced Lifecycle Quality Analyst III – Scientific Applications to ensure quality across the full lifecycle of our scientific products and solutions in a remote environment. In this role, you will partner closely with scientists and technical teams to validate requirements, review documentation, and ensure compliance with quality standards. You will help translate scientific needs into testable requirements, manage verification and validation activities, and support audits and continuous improvement.

Ideal candidates bring both QA expertise, a strong science background and the ability to communicate effectively with scientific end‑users.

Supervisory Responsibilities

None

Essential functions/responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

  • Work with stakeholders to facilitate technical coordination during the transition to operations phase.
  • Plan tasks and align transition activities to project schedules and needs.
  • Gather requirements and prepare Requirements Allocation Documents, ensuring complete traceability.
  • Identify gaps, track actions, and coordinate across teams to mitigate risks.
  • Prepare presentations and lead lifecycle reviews.
  • Ensure compliance with established quality assurance standards and procedures during development and packaging.
  • Support Agile-based software development efforts, participating in sprint planning, reviews, and retrospectives.
  • Conduct lifecycle audits and risk assessments to identify gaps and recommend corrective and preventive actions (CAPAs).
  • Collaborate with scientists, engineers, and project managers to ensure lifecycle documentation is complete, traceable, and compliant.
  • Provide subject matter expertise on quality standards, validation processes, and best practices.
  • Mentor and train junior QA staff and contribute to the development of quality management systems (QMS).
  • Review and analyze scientific data, protocols, and documentation for accuracy, validity, and adherence to regulatory requirements.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Information Security and Confidentiality Obligations
  • Ensure adherence to organizational information security policies and procedures; actively participate in mandatory security awareness training; and manage confidential and sensitive information in accordance with company protocols and data protection standards.
Basic Qualifications
  • Bachelor’s degree in a technical field (e.g., Engineering, Computer Science, Information Technology) with 4–8 years of experience in quality assurance, scientific analysis, or lifecycle management; or minimum of 6+ years of directly related experience in lieu of a degree.
  • 2+ years of experience developing or integrating software for scientific applications (preferably Fortran/C/C++ in a Linux environment) to assess algorithm complexity and required effort.
  • Knowledge of software development life cycles and Agile/Dev Ops methodologies.
  • Demonstrated experience with quality management systems, risk assessments, and lifecycle documentation.
  • Experience working in cross-disciplinary scientific or engineering teams, including collaboration with scientists, engineers, and project managers.
  • Proficiency in data analysis tools and scientific software.
  • Excellent written and verbal communication skills with the ability to translate complex scientific findings into clear recommendations.
  • Strong analytical and problem-solving skills with the ability to troubleshoot complex technical issues.
  • Strong attention to detail, planning, and organizational skills.
Preferred Qualifications
  • Experience with version control systems (e.g., Git) and collaborative code development practices.
  • Familiarity with scientific data formats (e.g., NetCDF, GRIB2, BUFR, or HDF5) and the tools or libraries commonly used to process them. Scripting language experience (Python preferred).
  • Experience with Software…
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