6 дней назад
Systems Integration Engineer 1 (Genomics)
68 400 - 102 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Systems Integration Engineer 1 (Genomics): Developing and testing DNA sequencing systems and assay platforms by integrating hardware, software, chemistry, and biological components with an accent on biochemical workflows, structured experiments, and system-level data analysis. Focus on diagnosing complex cross-disciplinary issues, identifying root causes, executing design verification plans, and documenting experimental results.
Location: San Diego, California, United States; onsite full-time
Base salary: $68,400–$102,600 per year, plus eligibility for variable cash programs, equity for eligible roles, and benefits.
Company
develops genomic technology that supports early disease detection, diagnosis, treatment research, and improved health equity.
What you will do
- Integrate, test, and troubleshoot DNA sequencing systems and assay platforms, with emphasis on chemical and biochemical workflows.
- Investigate system-level issues across biochemical assays, hardware, software, and applications by analyzing data and testing hypotheses.
- Execute design verification plans, collect and review experimental data, and contribute to verification reports.
- Track development issues and maintain documentation covering procedures, protocols, results, deviations, and observations.
- Collaborate with research, product development, manufacturing, engineering, and scientific teams to drive problems to root cause.
- Present technical findings, risks, and recommendations to engineering and scientific stakeholders.
Requirements
- Hands-on wet-laboratory experience with biochemical assays, instrumentation, or complex experimental workflows.
- Foundational knowledge of or strong interest in sequencing systems, assay platforms, and wet-laboratory techniques.
- Scientific knowledge spanning areas such as molecular biology, chemistry, software, instrumentation, and data analysis.
- Ability to analyze large datasets, draw conclusions, think critically, and troubleshoot complex systems.
- Bachelor’s or master’s degree in engineering or science, such as bioengineering, chemical engineering, biochemistry, or biology.
- Typically 0–2 years of relevant experience, including internships, co-ops, or academic research.
Nice to have
- Familiarity with AI tools, scientific programming, or scripting such as Python for data analysis.
- Strong curiosity and demonstrated ability to investigate experimental methods and results in depth.
Culture & Benefits
- Collaborative, multidisciplinary research and development environment.
- Health, dental, and vision coverage, family-planning support, retirement benefits, and paid time off.
- Access to genomics sequencing and opportunities for career development through Employee Resource Groups.
- Inclusive workplace focused on belonging, openness, collaboration, and equal employment opportunity.
Hiring process
- Background checks may be conducted after a conditional offer.
- Generative AI cannot be used during the application or interview process.
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