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Metagenomics Jobs (NOW HIRING)

Sr. Pharma Business Analyst

Rahway, NJ ยท On-site

$93.90K - $121.30K/yr

Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics) Must Have Experience: * Functional ...

Bioinformatics or metagenomics data analysis experience may substitute for education. โ€ข Must have experience and passion in the field of bioinformatics, metagenomics, microbiomics and NGS data ...

New

... metagenomics, and microbiome analysis. For more information on Cantata Bio, its technology, and offerings, visit www.cantatabio.com. We are seeking a vibrant, purposeful, and competent Sales Manager ...

... metagenomics, and microbiome analysis. For more information on Cantata Bio, its technology, and offerings, visit www.cantatabio.com. We are seeking a vibrant, purposeful, and competent Sales Manager ...

Scientific Sales, Oncology

San Diego, CA ยท On-site

$80K - $120K/yr

... metagenomics, and microbiome analysis. For more information on Cantata Bio, its technology, and offerings, visit www.cantatabio.com. We are seeking a vibrant, purposeful, and competent Sales Manager ...

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Metagenomics information

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$42K

$139.9K

$187.5K

How much do metagenomics jobs pay per year?

As of May 30, 2026, the average yearly pay for metagenomics in the United States is $139,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a Metagenomics job?

A metagenomics job involves analyzing genetic material recovered directly from environmental samples to study microbial communities. Professionals in this field use sequencing technologies and bioinformatics tools to identify and characterize microorganisms, their functions, and interactions. These roles are commonly found in research institutions, biotechnology firms, healthcare, and environmental science organizations. Responsibilities may include data processing, genome assembly, functional annotation, and interpreting microbial diversity.

What are the key skills and qualifications needed to thrive in the Metagenomics position, and why are they important?

To thrive in a Metagenomics role, you need a strong background in molecular biology, bioinformatics, microbial ecology, and data analysis, often supported by an advanced degree in a relevant field. Familiarity with sequencing technologies, data processing pipelines (such as QIIME, Mothur, or MetaPhlAn), and programming languages like Python or R is typically required. Critical thinking, collaboration, and strong communication skills enable effective teamwork and the translation of complex scientific data into actionable insights. These competencies are vital for producing high-quality research, driving innovation, and contributing to multidisciplinary scientific projects.

What are typical daily responsibilities for someone working in a Metagenomics position?

Professionals in Metagenomics typically spend their days planning and executing complex experiments, extracting and sequencing DNA from environmental samples, and analyzing large datasets using specialized bioinformatics tools. They often collaborate closely with microbiologists, computational scientists, and environmental specialists to interpret results and design follow-up studies. Documentation of findings, preparing research reports, and sometimes presenting at scientific meetings or conferences are regular parts of the job. This role offers a dynamic blend of laboratory work, computational analysis, and teamwork within a rapidly advancing scientific field.
What cities are hiring for Metagenomics jobs? Cities with the most Metagenomics job openings:
What are the most commonly searched types of Metagenomics jobs? The most popular types of Metagenomics jobs are:
What states have the most Metagenomics jobs? States with the most job openings for Metagenomics jobs include:
Infographic showing various Metagenomics job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 2% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $139,887 per year, or $67.3 per hour.
Sr. Pharma Business Analyst

Sr. Pharma Business Analyst

Noblesoft Technologies

Rahway, NJ โ€ข On-site

$93.90K - $121.30K/yr

Contractor

Posted 19 days ago


Job description

Job Title: Sr. Pharma Business Analystย 
Location: Rahway NJ or West Point PA
Skills: Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics)
ย 
Must Have Experience:
  1. Functional Business Analyst coming from a Pharma / R&D / GxP environment (Who has worked in Laboratory practice or Manufacturing practice
  2. Business Analyst who has experience with Workflows, Data Mining, gathering requirements, Building Functional requirements, Writing Lifecycle Docs SDLC,
  3. Experience with Omicsย modalities (scRNA-seq, bulk RNA-seq, proteomics) and FAIR,ย Omics Data products (Genomics, Metagenomics, Proteomics and Metabolomics)ย would be a plus nice to have.

Mandatory Skills: Business Analysis, Data Analytics, Pharma R&D domain experience specially focused in Omics Data products (Genomics, Metagenomics, Proteomics and
  • Experience in requirements management, business analysis, and product analytics within a technical or scientific environment.
  • Familiarity with Omics modalities (scRNA-seq, bulk RNA-seq, proteomics) and FAIR data principles.
  • Strong analytical and problem-solving skills; ability to interpret technical data and translate into actionable insights.
  • Proficiency with Agile methodologies, backlog tools, and data analysis platforms (SQL, BI dashboards).
  • Help define and monitor KPIs for Omics data products (e.g., data availability, accessibility, cost efficiency).
  • Recommend optimizations for automation,ย scalability, and workflow efficiency.
  • Experience with cloud platforms (AWS, Azure) and data processing pipelines.
  • Exposure to AI/ML applications in Omics data analysis.
  • Knowledge of metadata standards, data governance, and compliance in life sciences