Research Associate-Scientific

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).

Contact:

Sunny Rajput | sunny.r@sunrisesys.com | URL: www.sunrisesys.com