Process Dev Engineering Scientific Associate
Atrium
Boston, MA0–2 yrs3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- ExcelMicrosoft OfficeStatisticsData analysis
- Work
- On-site in Boston
- Pay
- Not stated by the employer.
- Skill demand
- Statistics34%Data analysis28%Microsoft Office26%Excel19%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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Key Responsibilities
- Perform routine stem cell isolation processes using an automated cell processing system.
- Support execution of lab-based Process Development activities and experiments.
- Prepare related media and buffers in a sterile aseptic environment.
- Generate samples for analytical assays and coordinate with the Analytical team for timely analysis.
- Maintain a detailed and organized electronic lab notebook to document lab activities.
- Write reports summarizing procedures, experiments, and data.
- Present experiment design, data, and updates internally to the team.
- Demonstrate strong interpersonal and teamwork skills.
- Ability to communicate effectively with a diverse range of scientists and engineers.
Requirements & Tech Stack
- Solid foundation in Microsoft Office applications (Word, Excel, PowerPoint).
- Proactive communication, organization, and accurate record-keeping.
- Basic experience in statistical analysis, creating graphs, writing protocols and reports, and presenting data scientifically.
Qualifications
- Bachelor’s degree in chemical engineering, biomedical engineering, biotechnology, or pharmaceutical sciences.
- 0-2+ years of relevant work or lab experience.
- Hands-on experience in aseptic techniques, cell handling, cell culturing, and media and buffer preparation is preferable.
- Experience with other scientific software such as JMP, GraphPad Prism, etc., is a bonus.
- HSC isolation and culture experience is a preference.
- Experience with Prodigy, Rotea, Electroporation, and Cytiva Sefia is a preference.
- Experience with data analysis using JMP is a preference.