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Manager Next Generation Sequencing Data Analysis Jobs

Upenn

$65 - $90/hr

... next-generation sequencing data analysis is desirable but not required. The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to ...

Centrilliontech

Bioinformatics Analyst

Palo Alto, CA · On-site

$65 - $90/hr

Knowledge about next generation sequencing (NGS), genotyping and other biotechnologies * Familiarity with NGS data analysis algorithms and tools/pipelines * Programming skills with C++, Python or ...

New

Servier

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

The Scientistwill be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with program teams, contributing ...

Quest Diagnostics

Scientist - Fellow

Lewisville, TX · On-site

Perform bioinformatic analysis of genomics data from next generation sequencing. Specific data ... Serves as consultant to top management in long-range company planning concerning new or projected ...

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Manager Next Generation Sequencing Data Analysis information

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$24.5K

$59.5K

$116K

How much do manager next generation sequencing data analysis jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager next generation sequencing data analysis in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Next Generation Sequencing Data Analysis vs Bioinformatics Scientist?

AspectManager Next Generation Sequencing Data AnalysisBioinformatics Scientist
CredentialsBachelor's or Master's in Bioinformatics, Genetics, or related field; leadership experienceMaster's or PhD in Bioinformatics, Computational Biology, or related field
Work EnvironmentTeam leadership, project management, overseeing analysis teamsHands-on data analysis, algorithm development, research-focused
Industry UsagePharmaceuticals, biotech, clinical labs, research institutions

The Manager Next Generation Sequencing Data Analysis primarily oversees sequencing data projects, manages teams, and ensures timely delivery. In contrast, a Bioinformatics Scientist focuses on developing algorithms, analyzing complex datasets, and conducting research. Both roles require strong bioinformatics skills, but the manager role emphasizes leadership and project management, while the scientist role emphasizes technical expertise and innovation.

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Manager Next Generation Sequencing Data Analysis jobs near you
Infographic showing various Manager Next Generation Sequencing Data Analysis job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.

Data Scientist Contractor, Computational Biology

CAMP4 Therapeutics

Cambridge, MA

$64K - $64K/yr

Contractor

Re-posted 13 days ago

Key responsibilities

  • Process, analyze, visualize, and interpret next-generation sequencing datasets, including RNA-seq, scRNAseq, and long-read sequencing data.

  • Execute bioinformatics analyses such as quality control, alignment, quantification, differential expression, isoform/transcript, and splicing analysis according to predefined plans.

  • Collaborate with cross-functional teams to develop, refine, and execute research plans and interpret computational results.

Job description

Position Title: Data Scientist Contractor, Computational Biology (6-month contract)
Reports To: Senior Director, Head of Data Sciences
Location: Cambridge, MA
Join the adventure!
CAMP4 is seeking a Data Science Contractor for a 6-month temporary contract assignment, specializing in Computational Biology, Bioinformatics, or Systems Biology, to support the processing, analysis, visualization, and interpretation of next-generation sequencing datasets. This assignment will have a particular focus on RNA-seq, scRNAseq, and long-read sequencing data, including Nanopore and PacBio platforms.
The successful candidate will apply state-of-the-art computational tools and, where needed, develop fit-for-purpose analytical approaches to interrogate complex genomics datasets. This role will help generate focused biological hypotheses to support target identification, target validation, and drug discovery programs. The candidate will work closely with experimental biologists and data scientists to systematically apply hypothesis-driven genomics approaches to advance CAMP4’s understanding of transcriptional mechanisms of disease and therapeutic strategies derived from them.

Key Responsibilities:
  • Process, analyze, visualize, and interpret next-generation sequencing (NGS) datasets, with an emphasis on bulk RNA-seq, scRNAseq, and long-read RNA sequencing, including Nanopore and PacBio sequencing data.
  • Execute bioinformatics analyses according to predefined analysis plans, including quality control, alignment, quantification, differential expression analysis, isoform/transcript analysis, splicing analysis, and integrative interpretation of results.
  • Collaborate closely with cross-functional teams, including experimental biologists, computational scientists, and project teams, to develop, refine, and execute research plans.
  • Provide clear biological interpretation and scientific context for computational results to support target discovery, validation, and mechanistic understanding.
  • Evaluate, implement, and apply new bioinformatics methods, tools, and emerging technologies relevant to transcriptomics, long-read sequencing, and functional genomics.
  • Develop scripts, workflows, and software tools where gaps exist to enable reproducible and scalable data analysis.
  • Provide conceptual input into analysis plans, including analytical strategy, study design, prioritization, and interpretation of key results.
  • Participate in cross-functional discussions to refine project goals, identify key priorities, and communicate findings effectively to both computational and experimental scientists.
  • Demonstrate strong ownership, attention to detail, and a sense of urgency in delivering high-quality analyses that support the discovery of breakthrough medicines for patients.
Qualifications:
Education amp; Experience
  • PhD in Bioinformatics, Computational Biology, Systems Biology, or a related field with 3+ years of relevant industry or postdoctoral experience.
Skills amp; Competencies
  • Strong hands-on experience analyzing NGS datasets, especially RNA-seq, scRNAseq, and long-read sequencing data from Nanopore and/or PacBio platforms.
  • Familiarity with long-read sequencing tools and workflows for transcript discovery, isoform characterization, or full-length transcript analysis is highly desirable.
  • Experience with additional functional genomics datasets, such as ATAC-seq, ChIP-seq, and PRO-seq.
  • Solid background in statistics and strong programming skills in Python and/or R.
  • Experience working in a Linux environment and using high-performance computing clusters and/or cloud computing platforms such as AWS.
  • Familiarity with human genome annotation resources, biological pathway databases, and systems biology concepts.
  • Strong commitment to reproducible research, best practices in software development, documentation, and version control.
  • Excellent collaboration and communication skills, with the ability to explain computational results clearly to experimental scientists and cross-functional teams.
  • Strong attention to detail, high professional integrity, and commitment to excellence in execution.
  • Creative and solution-oriented with the ability to develop fit-for-purpose approaches for diverse data and project needs.
  • Passionate about applying computational biology and genomics to translate fundamental scientific discoveries into medicines that improve patients’ lives.
Compensation:
Pay rate for this role will be determined based on the candidate’s skills and experience.

About CAMP4:
CAMP4 is developing disease-modifying treatments for a broad range of genetic diseases where amplifying healthy protein may offer therapeutic benefits. Our approach amplifies mRNA by harnessing a fundamental mechanism of how genes are controlled. To amplify mRNA, our therapeutic ASO drug candidates target regulatory RNAs (regRNAs), which act locally on transcription factors and are the master regulators of gene expression. CAMP4’s proprietary RAPTM Platform enables the mapping of regRNAs and design of optimal chemistry to generate potent therapeutic candidates to address hundreds of genetic diseases across multiple tissues. Learn more about us at www.camp4tx.com and follow us @CAMP4tx.

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