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Urgently Hiring Rna Seq Jobs (NOW HIRING)

AllSTEM Connections

Biologist

Boston, MA · On-site

$101K - $119K/yr

Direct experience with RNA-seq (bulk) and amplicon-seq. • Direct experience with single-cell and ... Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we ...

Howard

Research Assistant

Washington, DC

$40K - $47K/yr

Hiring staff "for fit" makes significant contributions to Howard University's overall mission. At ... The scope of the work includes processing RNA-seq datasets and collaborating with lab members to ...

Howard University

Research Assistant

Washington, DC · On-site

$40K - $47K/yr

Hiring staff "for fit" makes significant contributions to Howard University's overall mission. At ... The scope of the work includes processing RNA-seq datasets and collaborating with lab members to ...

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Urgently Hiring Rna Seq information

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$49K

$203.5K

$400K

How much do urgently hiring rna seq jobs pay per year?

As of Jul 25, 2026, the average yearly pay for urgently hiring rna seq in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is the difference between Urgently Hiring Rna Seq vs Rna Sequencing Technician?

AspectUrgently Hiring Rna SeqRna Sequencing Technician
Required CredentialsTypically requires a Bachelor's degree in Molecular Biology, Genetics, or related fieldUsually requires a Bachelor's degree or relevant laboratory experience
Work EnvironmentResearch labs, biotech companies, or academic institutionsLaboratory settings focused on RNA extraction and sequencing
Industry UsageUsed in genomics research, clinical studies, and biotech projectsInvolved in performing RNA sequencing procedures and data collection

Urgently Hiring Rna Seq and Rna Sequencing Technician roles both involve working with RNA samples and sequencing technologies. However, Urgently Hiring Rna Seq typically refers to a hiring campaign for multiple roles or projects requiring RNA sequencing expertise, often emphasizing immediate staffing needs. In contrast, Rna Sequencing Technician is a specific job title focused on hands-on laboratory work. Both roles require similar skills and credentials but differ mainly in scope and urgency of hiring.

What is an RNA-Seq job and what does it involve?

An RNA-Seq job typically refers to a position focused on RNA sequencing, a cutting-edge technique used to analyze the quantity and sequences of RNA in a sample. Professionals in this role prepare samples, conduct sequencing experiments, and analyze data to study gene expression and identify genetic variations. RNA-Seq is widely used in research, biotechnology, and clinical diagnostics to better understand diseases and biological processes. The job may involve laboratory work, data analysis, and collaboration with researchers or clinicians.

What are the key skills and qualifications needed to thrive as an RNA Sequencing (RNA-Seq) Specialist, and why are they important?

To thrive as an RNA-Seq Specialist, you need a strong background in molecular biology, next-generation sequencing (NGS) technologies, and bioinformatics, typically supported by a relevant degree in life sciences. Familiarity with sequencing platforms (e.g., Illumina), data analysis software (such as R, Python, or Bioconductor), and relevant certifications in genomics or bioinformatics is often required. Attention to detail, problem-solving abilities, and effective communication skills help professionals interpret complex data and collaborate with research teams. These competencies are crucial for producing high-quality, reproducible results and advancing scientific discovery in genomics.

What are some common challenges faced by professionals working in RNA-Seq data analysis, and how can they be addressed?

Professionals in RNA-Seq data analysis often encounter challenges such as handling large, complex datasets, ensuring data quality, and interpreting results amidst biological variability. Addressing these issues frequently involves using robust bioinformatics tools, maintaining meticulous data organization, and collaborating closely with wet-lab scientists to validate findings. Regularly updating skills to keep pace with evolving sequencing technologies and analysis pipelines also helps overcome technical hurdles and ensures accurate, reproducible results.
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Urgently Hiring Rna Seq jobs near you
Infographic showing various Urgently Hiring Rna Seq job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Senior Bioinformatics Scientist - III

Senior Bioinformatics Scientist - III

AllSTEM Connections

Cambridge, MA • On-site

$205K - $221K/yr

Temporary

Medical, Dental, Vision, Retirement

Posted 24 days ago

Job description

Must Have Requirements
  • PhD in Genetics, Bioinformatics, Computational Biology, Biostatistics, or a related quantitative field
  • Minimum 5+ years of post-PhD experience in human or complex disease genetics (mandatory)
  • This is a fully onsite role in Cambridge, MA; no remote or hybrid work allowed
  • Candidates must have strong hands-on experience in multi-omics data integration, including:
  • Bulk RNA-seq
  • Single-cell RNA-seq (required)
  • Genotype/GWAS data analysis
  • Spatial transcriptomics (preferred)
  • Proteomics data (e.g., Olink preferred)
  • Strong experience in statistical genetics and transcriptomics analysis
  • Proficiency in R, Python, and Bash, with ability to develop reproducible and scalable workflows
  • Experience working with high-performance computing (HPC) systems
  • Hands-on experience with AWS cloud platforms (e.g., S3, IAM, and related services)
  • Experience working with large-scale external genomic datasets
  • Must have a strong publication record (to be included in resume)
  • Must be willing to relocate at own expense if non-local and join as per project timelines

Key Responsibilities
  • Conduct large-scale statistical genetics analyses to support target discovery and validation
  • Perform genome-wide association studies (GWAS) using population-scale biobank datasets (e.g., UK Biobank, FinnGen, Our Future Health, and other consortium datasets)
  • Develop, implement, and optimize scalable and reproducible computational pipelines for genomic data analysis
  • Perform meta-analysis of genetic association datasets and integrate public and proprietary summary statistics
  • Execute post-GWAS analyses including fine-mapping, colocalization, Mendelian Randomization, transcriptome-wide association studies (TWAS), and polygenic risk scoring (PRS)
  • Integrate and analyze multi-omics datasets such as bulk RNA-seq, single-cell RNA-seq, ATAC-seq, QTLs, and proteomics data for gene and target prioritization
  • Contribute to data integration strategies linking genetics with functional genomics and molecular phenotypes
  • Work closely with cross-functional teams including computational scientists, disease area experts, and wet-lab biologists
  • Stay current with emerging methodologies in statistical genetics, computational biology, and AI/ML applications in genomics
  • Contribute to the interpretation and communication of complex genetic findings to support drug discovery programs

Required Qualifications
  • PhD (or equivalent) in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, Biostatistics, Genetic Epidemiology, or related quantitative field
  • Minimum 5+ years of post-PhD experience in human genetics or complex disease genetics research
  • Strong hands-on experience in GWAS and large-scale genomic data analysis
  • Demonstrated experience in multi-omics data integration, including RNA-seq and/or single-cell RNA-seq
  • Strong programming skills in R, Python, and Bash
  • Experience working in HPC environments and cloud platforms (AWS including S3, IAM, etc.)
  • Strong understanding of reproducible research practices and scalable pipeline development
  • Experience working with large, complex datasets in collaborative research environments
  • Excellent communication skills and ability to work in multidisciplinary teams

Preferred Qualifications
  • Experience with spatial transcriptomics and emerging single-cell technologies
  • Proteomics experience (e.g., Olink or similar platforms)
  • Familiarity with machine learning/AI approaches applied to genomics or multi-omics data
  • Experience in cardiometabolic disease, immunology, neuroscience, or other complex disease areas
  • Strong knowledge of advanced statistical genetics methods including TWAS, Mendelian Randomization, colocalization, fine-mapping, and PRS modeling
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Broughton
Branch Phone:
(909) 244-1777
Location:
Ontario, CA

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