Job Description
Job Description
Job Title: Research Associate, Scientific
Location: Cambridge Crossings, Cambridge, MA
Duration: 12 months
Work Schedule: 100% onsite, Monday – Friday, normal business hours
Parking: Candidates must be agreeable to the $20/day parking fee at Cambridge Crossings
MUST HAVE LIST
- Bachelor's degree in biological sciences, engineering, chemistry, physics, math, computer science, or related fields
- 3+ years of hands-on experience in a laboratory
- Preferred: Prior experience with spatial technologies (e.g., Phenocycler/CODEX, COMET, Visium, CosMx, Xenium, or equivalent platforms), genomics (e.g., scRNA-seq, Illumina Next Generation Sequencing), or histology workflows (e.g., multiplex IF/IHC/ISH on autostainer) — training will be provided for the right candidate
- Quick learner with an openness to adopting new technologies
Position Summary
- The Research Associate scientist will be a key member of the Translational Development Team in Cambridge, MA, utilizing high-dimensional spatial and genomic profiling tools to address translational knowledge gaps across our development pipelines.
- The ideal candidate brings hands-on experience in one or more of these areas, strong foundational lab skills, and the ability to work independently and collaboratively to meet project goals.
Position Responsibilities
- Operate, maintain, and troubleshoot spatial profiling instruments (Phenocycler Fusion, Visium, and related platforms)
- Prepare samples and reagents, including validation and slide preparation
- Support genomic and histological assay workflows
- Maintain accurate records, manage reagent/sample inventory, and perform routine data transfers
- Assist in the development and optimization of new spatial technology reagents and protocols
Qualifications & Experience
Required
- Bachelor's degree in biological sciences, engineering, chemistry, physics, math, computer sciences, or related fields
- 3+ years of hands-on laboratory experience
- Quick learner with genuine openness to new technologies and methodologies
- Excellent hands-on technical and organizational skills, with strong attention to detail and quality
- Effective and timely communication skills with both peers and senior leadership
- Demonstrated ability to meet project goals and timelines
- Experience in a collaborative team environment
Must have/Preferred – Spatial & Advanced Profiling (Requirement)
- Hands-on experience with spatial transcriptomics or proteomics platforms, including one or more of: Phenocycler/CODEX (Akoya), COMET (Lunaphore), Visium (10x Genomics), CosMx (NanoString/Bruker), Xenium (10x Genomics), or comparable technologies
- Familiarity with spatial assay workflows: antibody panel design, staining optimization, and image acquisition/analysis
- Experience with single-cell RNA sequencing (scRNA-seq) or bulk RNA/DNA sequencing using Illumina platforms
- Familiarity with library preparation, sequencing workflows, DV200 test
- Preferred – Histology/Pathology, Cell Culture (Secondary Preference)
- Experience with multiplex immunofluorescence (mIF), IHC, or ISH workflows, particularly on automated autostainer platforms (e.g., Leica Bond, Ventana)
- Basic proficiency in mammalian culture and standard laboratory assays including single cell cloning, CRISPR-Cas9, protein immunoblot and flow cytometry (4+ channels).
Company DescriptionFounded in 1990, Sunrise Systems is an award winning IT/Professional Staffing firm to Fortune 500 and State/Local Government Agencies.
Company Description
Founded in 1990, Sunrise Systems is an award winning IT/Professional Staffing firm to Fortune 500 and State/Local Government Agencies.