Assay and Automation Scientist Intern
About The Position
We are looking for Masters and PhD level students majoring in Cell Biology, Biochemistry, Computer Science, Computer Engineering, Biotechnology or a related discipline for a 12-week internship role in Gaithersburg, MD from May 18th to August 7th. Position Duties: Automated Workflow Development: Execute cell-based assays using established SOPs to test and validate imaging-based workflows for robotic platform integration. Cross-functional Collaboration: Partner with automation engineers, computer scientists, and process engineers to translate manual imaging methods into automated workflows while ensuring data harmonization. Method Validation: Perform statistical analysis to assess comparability between automated and manual imaging methods, supporting validation and release of new automated processes to increase screening capacity and boost efficiency metrics.
Requirements
- Masters and PhD level students majoring in Cell Biology, Biochemistry, Computer Science, Computer Engineering, Biotechnology or a related discipline.
- Candidates must have an expected graduation date after August 2026.
- Cell Biology Foundation: Cell culturing of cell lines and independent design/execution of 384-well or 96-well formatted cell-based assays is required.
- Statistical Analysis: Proficiency with statistical analysis software (Excel, Prism, or equivalent) for method validation and data interpretation is required.
- Algorithmic Thinking: Ability to break down complex processes into discrete steps suitable for automation programming is required.
- Ability to report onsite to Gaithersburg, MD 5 days per week.
- US Work Authorization is required at time of application.
Nice To Haves
- Laboratory Automation: Experience with liquid handling systems and automated platforms (Hamilton, Tecan, etc.) is preferred.
- High Content Imaging: Hands-on experience with imaging equipment and software (Cell Insight imagers or similar high content imaging systems) is preferred.
- Programming Skills: Coding experience in Python, C++, SQL, or similar languages for workflow optimization is a plus.
- Team Collaboration: Previous experience working in cross-functional, collaborative research environments is a plus.
Responsibilities
- Automated Workflow Development: Execute cell-based assays using established SOPs to test and validate imaging-based workflows for robotic platform integration.
- Cross-functional Collaboration: Partner with automation engineers, computer scientists, and process engineers to translate manual imaging methods into automated workflows while ensuring data harmonization.
- Method Validation: Perform statistical analysis to assess comparability between automated and manual imaging methods, supporting validation and release of new automated processes to increase screening capacity and boost efficiency metrics.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
