Scientist IV

Job Title: Scientist IV
Location: Cambridge, MA 02141
Duration: 12 Months+ (Possible Extension)

Shift: Standard shift
Pay Range: $100 - $111/ hr. on W2
 
Must have experience:

• PHD or Master’s degree Molecular Biology, Cellular Biology, Genomics, or a related field.
• Minimum of 1+ years of dedicated single cell and Next gen sequencing experience with demonstrated expertise in transcriptomics and spatial biology.
• scRNA-seq and snRNA-seq, Bulk RNA-seq, Next-Gen Sequencing (NGS)
• Preferred qualifications: 3-5 years of related of dedicated single cell and Next gen sequencing experience with demonstrated expertise in transcriptomics and spatial biology.
• scRNA-seq and snRNA-seq o Spatial transcriptomics platforms (e.g., 10x Genomics Visium and/or Xenium, NanoString GeoMx).
• Spatial proteomics technologies (e.g., Akoya CODEX/Phenocycler-Fusion)
• Proficiency in tissue handling, imaging, and histological techniques.
• Familiarity with bioinformatics tools and pipelines for omics data analysis.
• Fully onsite role
• Position is 100% lab-based

 
Job Description:

• We are looking for a highly motivated and innovative scientist to join the Target, Disease & Systems Biology (TDSB) department at Client as a Scientist. In this role, you will collaborate with the Pre-clinical Omics research team to investigate disease biology, uncover Client pathways and mechanisms, and identify strategies to address unmet medical needs across a range of therapeutic areas.
• This position offers the opportunity to apply cutting-edge molecular biology and spatial technologies to advance our therapeutic discovery efforts. The ideal candidate will bring strong technical expertise in bulk RNA-seq, single-cell/single-nucleus RNA-seq (sc/snRNA-seq), spatial transcriptomics, and spatial proteomics to support a broad Product of research initiatives.

 

• We are seeking someone who can lead and execute scientific research, analyze and present complex data, and communicate effectively with both expert and non-expert audiences. Strong organizational skills—including meticulous record keeping, planning and scheduling, and maintaining laboratory equipment—are essential. The successful candidate will be curious, Product, and creative in exploring new scientific directions and proposing innovative experimental approaches.
• At Client, we are an innovative global healthcare company driven by a singular purpose: to chase the miracles of science to improve people’s lives. We offer a dynamic environment where you can thrive professionally, build meaningful connections, and push the boundaries of scientific discovery. Ready to begin your journey?

 
Responsibilities:

• Experimental Design & Execution
  • Design and perform experiments using bulk RNA-seq, single-cell/single-nucleus RNA-seq (sc/snRNA-seq), NGS and spatial assays (GeoMx, Visium, Xenium, Phenocycler-Fusion) on human and non-human biological samples.
  • Optimize and troubleshoot protocols for molecular and spatial assays.
• Data Analysis & Interpretation
  • Collaborate with bioinformatics teams to analyze high-dimensional omics data.
  • Interpret results to guide therapeutic target identification and validation.
• Technology Development & Innovation
  • Evaluate and implement emerging molecular biology and spatial technologies.
  • Contribute to the development of Client workflows and platforms.
• Cross-functional Collaboration
  • Work closely with scientists across biology, chemistry, and computational disciplines.
  • Present findings in internal meetings and contribute to strategic research discussions.
• Documentation & Reporting
  • Maintain detailed experimental records.
  • Prepare technical reports and presentations

 
Qualifications:
Master’s degree or Ph.D. in Molecular Biology, Cellular Biology, Genomics, or a related field.
3–5 years of relevant experience in academia or industry, with demonstrated expertise in transcriptomics and spatial biology.
 
Required qualifications:

• scRNA-seq and snRNA-seq
• Bulk RNA-seq
• Next-Gen Sequencing (NGS)

• Preferred qualifications:
• Spatial transcriptomics platforms (e.g., 10x Genomics Visium and/or Xenium, NanoString GeoMx).
• Spatial proteomics technologies (e.g., Akoya CODEX/Phenocycler-Fusion)
• Proficiency in tissue handling, imaging, and histological techniques.
• Familiarity with bioinformatics tools and pipelines for omics data analysis.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Excellent communication and organizational skills.

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