Associate Scientist
Confirmed live in the last 24 hours
Axle Informatics
Job Description
(ID: 2026-1819)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
Axle is seeking a skilled Associate Scientist to join our team at NIH to support vaccine and monoclonal antibody research through the development and execution of advanced immune assays (e.g., ELISA, Western blot) and hypothesis-driven studies. The role involves managing research projects, analyzing and interpreting data, and collaborating with cross-functional teams while contributing to scientific publications and data-driven decision-making.
Technical Requirements:
- Conducts analytical assay development and performs analytical assays in support of the assessment of clinical trial materials for quality and safety.
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Designs and executes complex immune- assays, including ELISA, Western blot, Octet, residual immune assays techniques, to support vaccine research and development initiatives.
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Independently plan, design, and execute multiple hypothesis-driven research projects within bio-separation technology, applying sound scientific judgment.
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Develop and implement experimental plans; analyze and interpret data with scientific rigor; and generate evidence-based conclusions that advance new methods and investigational findings.
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Define clear problem statements, formulate testable scientific hypotheses, and apply conceptual thinking to guide research direction.
- goaiiosdatadesign
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