Scientist

Admera Health; SOUTH PLAINFIELD (NJ); On-site; USD 85,000 - 120,000; Full time

Job summary

Admera Health is looking for a Senior Scientist in South Plainfield, NJ, to join its Single-Cell & Spatial Genomics platform team. The ideal candidate will have a PhD in a related field or a Master's with relevant experience, with hands-on skills in NGS, single-cell RNA-seq, spatial transcriptomics, and a strong foundation in molecular biology. Responsibilities include optimizing workflows, developing laboratory protocols, and collaboration with bioinformatics teams. This role supports the advancement of next-generation multi-omics workflows.

Qualifications

• Strong foundation in molecular biology with practical lab experience.
• Experience with tissue processing and morphology-based experimental design.
• Ability to work in a fast-paced, project-driven environment.

Responsibilities

• Optimize NGS, single-cell, and spatial workflows.
• Develop and refine new laboratory protocols and SOPs.
• Collaborate with bioinformatics teams to align wet lab and data outputs.

Skills

Hands-on experience with NGS workflows

Molecular biology techniques (PCR, nucleic acid extraction)

scRNA-seq / spatial transcriptomics

Strong communication skills

Education

PhD in Molecular Biology, Genomics, Bioinformatics, or related field

M.S. with 3+ years of relevant experience

Tools

FFPE tissue processing

PCR

Job description

Senior Scientist – Single-Cell & Spatial Genomics (NGS / Histology Integration)

Admera Health is expanding its Single-Cell & Spatial Genomics platform team and is seeking a PhD or Senior Scientist I-level candidate to help build and scale next-generation multi-omics workflows.

We are looking for scientists with strong hands-on experience in NGS, single-cell RNA-seq, spatial transcriptomics, and histology-based tissue analysis, who are interested in moving beyond execution toward platform development and workflow engineering.

• Hands-on execution and optimization of scRNA-seq / snRNA-seq workflows
• Tissue dissociation, nuclei isolation, and low-input sample processing
• Library preparation, QC, and performance optimization
• Focus on robustness, scalability, and reproducibility of workflows
• Spatial transcriptomics workflow execution and development
• FFPE and fresh frozen tissue processing
• Spot-based and in situ spatial technology workflows
• Ensuring spatial data quality and biological consistency

Histology Integration (Core Requirement)

• Basic understanding of H&E staining and tissue morphology
• Integration of histology (H&E / IHC) with spatial transcriptomics data
• ROI (region-of-interest) selection and tissue-guided experimental design
• Linking tissue structure with molecular and spatial readouts

NGS & Molecular Biology Core Skills

• RNA-seq, WGS, WES, and targeted panel library preparation
• PCR, nucleic acid extraction, and molecular biology techniques
• QC of libraries and sequencing-ready samples
• Experience with FFPE, degraded RNA, or low-input samples preferred
• Independently execute and optimize NGS, single-cell, and spatial workflows
• Improve workflow robustness, throughput, and reproducibility
• Develop and refine new laboratory protocols and SOPs
• Troubleshoot complex experimental and sample-related issues
• Maintain accurate experimental documentation and deviation records
• Collaborate with bioinformatics teams to align wet lab and data outputs
• Train junior scientists on laboratory procedures and best practices
• Support client-facing technical communication and reporting

Qualifications

Required

• PhD in Molecular Biology, Genomics, Bioinformatics, or related field
• (or M.S. with 3+ years of relevant experience)
• Strong foundation in molecular biology (PCR, library prep, nucleic acid work)
• Hands-on experience with NGS workflows
• Ability to work in a fast-paced, project-driven environment
• Strong communication and documentation skills

Preferred

• Hands-on experience with scRNA-seq and/or spatial transcriptomics
• Experience with FFPE tissue or histology workflows
• Exposure to tissue processing and morphology-based experimental design
• Experience in high-throughput or service-oriented genomics environments
• Experience in workflow optimization or SOP development

What We Are Looking For

The ideal candidate is someone who:

• Understands not just how to run experiments, but how to scale and standardize workflows
• Can connect tissue biology, spatial context, and gene expression
• Has experience moving from kit execution to workflow ownership to platform thinking
• Is motivated to build integrated single-cell + spatial + histology pipelines
• Build next-generation single-cell and spatial genomics platforms
• Move beyond execution into workflow engineering and platform development
• Work with complex clinical and research tissue samples
• Collaborate across wet lab, automation, and bioinformatics teams