Research Associate-Scientific # 26-18172

Duration: 12 months (with extension possibility)

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:

• 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).

Working Conditions:

• The position is primarily in a laboratory environment and may involve working with hazardous materials, including human tissue and blood samples
• Adherence to all relevant safety protocols and laboratory standards is required

 Please provide prescreening questions below:

1. Describe your hands-on experience with any spatial transcriptomics or High-plex protein imaging platforms.
 2. What spatial, genomic, or histology workflows have you run independently?

Must Have List

• Bachelor's degree in biological sciences, engineering, chemistry, physics, math, computer sciences, 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

 Note: 

• Work Schedule: 100% onsite, Monday – Friday, normal business hours
• Parking: Candidates must be agreeable with the $20/day parking fee at Cambridge Crossings

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To learn more about US Tech Solutions, please visit www.ustechsolutions.com.

 US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

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