Research Associate- Spatial Biology

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

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).

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