[Remote] Lifecycle Quality Analyst III – Scientific Applications

Note: The job is a remote job and is open to candidates in USA. 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.

Responsibilities

• 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

Skills

• 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 lifecycles and Agile/DevOps 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
• 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 Configuration Management (SCM) tools
• Understanding of Agile lifecycle processes and DevOps methodologies, including CI/CD concepts and practices
• Certification in Quality (e.g., ASQ Certified Quality Auditor, Certified Quality Engineer) or Project Management (e.g., PMP, CAPM) preferred

Benefits

• Health insurance coverage
• Life and disability insurance
• 401(k) savings plan
• Training and career development opportunities
• Paid holidays
• Paid time off (PTO - to cover vacation, illness or disability, appointments, emergencies or other situations that require time off from work)

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