Research Associate

Primary Talent Partners has a new contract opening for a Research Associate to join our pharmaceutical client in Cambridge, MA. This is a 12-month contract to start with the potential for extensions.

Pay: $27.00 - $32.00/hr ; W2 contract, no PTO, no Benefits. ACA-compliant supplemental package available for enrollment. Candidates must be legally authorized to work in the United States and must be able to sit on Primary Talent Partners W2 without sponsorship.

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


Description:
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).

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
• Required: 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

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 Client laboratory standards is required

Primary Talent Partners is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

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