Research Associate, Research Scientist, Biotech Research

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

• TBachelor's degree in biological sciences, engineering, chemistry, physics, math, computer science, or related field
• s3+ years of hands-on experience in a laborator
• yPreferre
  d:
  Prior experience with spatial technologies (e.g., Phenocycler/CODEX, COMET, Visium, Cos Mx, 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 candidat
• eQuick learner with an openness to adopting new technologie
• sPosition Summar
  yThe 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 Responsibilitie
  sOperate, maintain, and troubleshoot spatial profiling instruments (Phenocycler Fusion, Visium, and related platforms
• )Prepare samples and reagents, including validation and slide preparatio
• nSupport genomic and histological assay workflow
• sMaintain accurate records, manage reagent/sample inventory, and perform routine data transfer
• sAssist in the development and optimization of new spatial technology reagents and protocol

• ed Bachelor's degree in biological sciences, engineering, chemistry, physics, math, computer sciences, or related fiel
• ds3+ years of hands‑on laboratory experien
• ce Quick learner with genuine openness to new technologies and methodologi
• es Excellent hands‑on technical and organizational skills, with strong attention to detail and quali
• ty Effective and timely communication skills with both peers and senior leadersh
• ip Demonstrated ability to meet project goals and timelin
• es Experience in a collaborative team environme

• nt)
  Hands‑on experience with spatial transcriptomics or proteomics platforms, including one or more of:
  Phenocycler/CODEX (Akoya), COMET (Lunaphore), Visium (10x Genomics), Cos Mx (Nano String/Bruker), Xenium (10x Genomics), or comparable technolog
• ies Familiarity with spatial assay workflows: antibody panel design, staining optimization, and image acquisition/analy
• sis Experience with single‑cell RNA sequencing (scRNA‑seq) or bulk RNA/DNA sequencing using Illumina platfo
• rms Familiarity with library preparation, sequencing workflows, DV200 t
• est Preferred – Histology/Pathology, Cell Culture (Secondary Preferen
• ce)
  Experience with multiplex immunofluorescence (mIF), IHC, or ISH workflows, particularly on automated autostainer platforms (e.g., Leica Bond, Venta
• na)
  Basic proficiency in mammalian culture and standard laboratory assays including single cell cloning, CRISPR‑Cas9, protein immunoblot and flow cytometry (4+ channel