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Transcriptomics Jobs in Emerson, NJ (NOW HIRING)

SupportFinity™

Research Assistant

Manhattan, NY · On-site

$21.25 - $29.25/hr

Conduct image analysis related to spatial transcriptomics experiments. * Adapt analytical approaches to integrate with wet-lab experiments and optimize data pipelines. * Administrative - 10% * ...

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All JobsTranscriptomics JobsTranscriptomics Jobs in Emerson, NJ

Transcriptomics information

See Emerson, NJ salary details

$50.1K

$208.1K

$409.1K

How much do transcriptomics jobs pay per year?

As of Sep 15, 2026, the average yearly pay for transcriptomics in Emerson, NJ is $208,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $409,100.00 per year, depending on experience, location, and employer.

What is transcriptomics?

Transcriptomics is the study of the complete set of RNA transcripts produced by the genome under specific circumstances or in a specific cell. It provides insights into gene expression patterns, how genes are regulated, and how cells respond to various conditions. By analyzing the transcriptome, researchers can better understand biological processes, disease mechanisms, and identify potential targets for therapy. Technologies such as RNA sequencing (RNA-seq) are commonly used in transcriptomics research.

What are some common challenges faced by professionals working in transcriptomics, and how can they be addressed?

Professionals in transcriptomics frequently encounter challenges such as handling large and complex datasets, ensuring data quality, and staying current with rapidly evolving analytical tools and technologies. Working closely with bioinformaticians and statisticians is essential for effective data analysis and interpretation. Additionally, clear communication and collaboration with wet-lab biologists and clinicians help bridge the gap between raw data and meaningful biological insights. Regular training and professional development can help transcriptomics professionals stay updated with the latest best practices and software advancements.

What are the key skills and qualifications needed to thrive as a transcriptomics scientist, and why are they important?

To thrive as a Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with next-generation sequencing (NGS) platforms, RNA-seq analysis pipelines, and programming languages like R or Python is essential. Attention to detail, problem-solving abilities, and effective communication skills set outstanding candidates apart. These competencies are vital for generating accurate transcriptomic data, interpreting complex results, and collaborating within multidisciplinary research teams.

What is the difference between Transcriptomics vs Bioinformatics?

AspectTranscriptomicsBioinformatics
Required credentialsBachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologiesBachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills
Work environmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic institutions, data analysis centers
Industry usageGenomics, molecular biology, medical researchData analysis, software development, computational biology

While both Transcriptomics and Bioinformatics involve analyzing biological data, Transcriptomics focuses on studying gene expression profiles using sequencing technologies, whereas Bioinformatics encompasses a broader range of computational methods to analyze various biological datasets. Professionals in both fields often collaborate but have distinct skill sets and work environments.

Transcriptomics jobs near you
Infographic showing various Transcriptomics job openings in Emerson, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $208,072 per year, or $100 per hour.

Research Assistant

Manhattan, NY • On-site

SupportFinity™
IT Services • 51 - 200 employees
Learn more about SupportFinity™external

$21.25 - $29.25/hr

Other

Posted 7 days ago

Job description

Job Information
  • Technical Grade 5
  • Job Type: Support Staff - Union
  • Bargaining Unit: SSA
  • Regular/Temporary: Regular
  • Hours Per Week: 35
  • Salary Range: $61,042.40 - $61,042.40
Position Summary

The Al-Dalahmah laboratory's mission is to define the states of glial pathology in neurologic diseases like neurodegeneration and glioblastoma. We use this knowledge to develop novel therapeutic strategies to block disease progression.

We are seeking a highly qualified Research Assistant with expertise in data science and bioinformatics to join our team. The ideal candidate will be an expert in programming languages such as C, Python, and R, with significant knowledge of single-cell RNAseq analysis. This role will focus on developing and applying computational methods to analyze complex biological data, contributing directly to the lab's research goals.

Responsibilities
  • Data Analysis – 65%
    • Perform all analytical steps for RNAseq, single nucleus RNAseq, and spatial transcriptomics.
    • Develop and implement new computational methods for analyzing spatial transcriptomics and long-read sequencing data.
    • Conduct image analysis related to spatial transcriptomics experiments.
    • Adapt analytical approaches to integrate with wet-lab experiments and optimize data pipelines.
  • Administrative – 10%
    • Oversee progress of ongoing research projects, ensuring timely completion of milestones.
    • Train and mentor junior personnel in coding, data analysis techniques, and best practices.
    • Coordinate with internal teams and collaborators to support project needs.
  • Communication – 10%
    • Prepare scientific papers, progress reports, and presentations for conferences.
    • Communicate findings clearly to both computational and non-computational team members.
  • Data Acquisition and Organization – 10%
    • Organize, manage, and maintain large-scale sequencing datasets for reproducible analyses.
    • Collaborate with wet-lab personnel on experimental design, data collection, and data annotation.
  • Other duties as assigned – 5%
Minimum Qualifications
  • A Bachelor’s degree and at least one and one-half years of related experience or equivalent in education, training and experience. Knowledge of various related laboratory procedures and techniques required.
Preferred Qualifications
  • A Master's degree in bioinformatics is a plus. A background in mathematics and/or biology is preferred. Previous experience aligning Fastq files, performing single nucleus and spatial RNAseq analysis, and expertise in spatial transcriptomics and cancer biology are also preferred.
  • Four years of related experience is recommended.
Other Requirements
  • Expertise in Python and R. Proficiency with bioinformatics tools such as CellRanger, SpaceRanger, Seurat, and Monocle. Knowledge of deep learning, FACS, and image analysis.
Equal Opportunity Employer / Disability / Veteran

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