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Metabolomics Jobs (NOW HIRING)

Sr. Pharma Business Analyst

Rahway, NJ ยท On-site

$93K - $121K/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 ...

Be intrinsically involved in performing and supporting proteomics and metabolomics data analysis and multi-omics data integration across various pipeline programs. * Design, develop and adapt ...

New

$47K - $64K/yr

Postdoctoral/research fellow will responsible for coordinating all Plant metabolomics/Hydroponics and Aquaponics research and hands-on laboratory activities associated with Undergraduate Research ...

Duties include preparing solvents and standard curves, biological sample preparation for metabolomics and/or proteomics analysis, analyzing chromatography results, and organizing large datasets for ...

Programmer Analyst I

Los Angeles, CA ยท On-site

$36.55 - $46.67/hr

Develop, implement, and maintain data processing pipelines for environmental exposure, metabolomics, and other high-dimensional datasets * Support integration and harmonization of multi-source data ...

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Metabolomics information

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How much do metabolomics jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for metabolomics in the United States is $45.04, according to ZipRecruiter salary data. Most workers in this role earn between $37.98 and $50.48 per hour, depending on experience, location, and employer.

What is a Metabolomics job?

A Metabolomics job involves studying small molecules (metabolites) in biological systems to understand metabolic processes, biomarkers, and disease mechanisms. Professionals in this field use advanced analytical techniques like mass spectrometry and NMR spectroscopy to identify and quantify metabolites. They work in research institutions, pharmaceuticals, healthcare, and biotechnology to develop diagnostics, therapies, and personalized medicine. Strong knowledge of chemistry, biology, and data analysis is essential for this role.

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

To thrive in a Metabolomics role, you need a solid background in biochemistry or molecular biology, experience with analytical techniques like mass spectrometry or NMR, and typically a graduate degree in a relevant field. Proficiency with laboratory instrumentation, bioinformatics tools, data analysis software such as MetaboAnalyst, and familiarity with quality control standards are highly valued. Attention to detail, problem-solving skills, effective communication, and the ability to work collaboratively in multidisciplinary teams are crucial soft skills. These skills ensure accurate data generation, meaningful biological interpretation, and effective contribution to research or clinical projects.

What does a typical workday look like for someone in a Metabolomics position?

A typical workday in Metabolomics often involves preparing biological samples, running analyses on instruments like LC-MS or NMR, and processing large data sets using specialized software. You may collaborate with colleagues in bioinformatics, biology, or clinical teams to interpret results and troubleshoot experimental issues. Throughout the week, there are often meetings to discuss findings, plan experiments, or coordinate with external partners such as core facilities or research collaborators. This dynamic environment provides opportunities to contribute to scientific discovery, advance technical expertise, and take on increasing responsibility with experience.

More about Metabolomics jobs
What cities are hiring for Metabolomics jobs? Cities with the most Metabolomics job openings:
What are the most commonly searched types of Metabolomics jobs? The most popular types of Metabolomics jobs are:
What states have the most Metabolomics jobs? States with the most job openings for Metabolomics jobs include:
Infographic showing various Metabolomics job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $93,688 per year, or $45 per hour.
Sr. Pharma Business Analyst

Sr. Pharma Business Analyst

Noblesoft Technologies

Rahway, NJ โ€ข On-site

$93K - $121K/yr

Contractor

Posted 15 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