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Bioinformatics Data Analyst Jobs in Rutherford, NJ

Experience in fish embryology, comparative anatomy, high-throughput sequencing, or bioinformatics data analysis is preferred, but not required. Rutgers University is located in New Brunswick, NJ ...

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

About the Position As a Senior Data Scientist at Formation Bio, you will be at the forefront of ... Extensive experience in multi-modal bioinformatics analysis Preferred Qualifications * Proven ...

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Bioinformatics Data Analyst information

See Rutherford, NJ salary details

$6

$46

$84

How much do bioinformatics data analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for bioinformatics data analyst in Rutherford, NJ is $46.71, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $50.00 per hour, depending on experience, location, and employer.

What is a bioinformatics data analyst?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.

How do bioinformatics data analysts collaborate with researchers and other team members?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are the key skills and qualifications needed to thrive as a bioinformatics data analyst?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

What are popular job titles related to Bioinformatics Data Analyst jobs in Rutherford, NJ?

For Bioinformatics Data Analyst jobs in Rutherford, NJ, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Analyst jobs in Rutherford, NJ look for?

The top searched job categories for Bioinformatics Data Analyst jobs in Rutherford, NJ are:

What cities near Rutherford, NJ are hiring for Bioinformatics Data Analyst jobs?

Cities near Rutherford, NJ with the most Bioinformatics Data Analyst job openings:

Scientific Informatics Business Analyst / Consultant

StratG Inc

Roselle, NJ • On-site

Other

Posted 3 days ago

New


Job description

Scientific Informatics Business Analyst / Consultant

Location: West Point / Rahway, USA
Job Type: Contract
Industry: Pharmaceutical / Life Sciences

Job Description

We are looking for an experienced Scientific Informatics / Life Sciences IT professional with strong experience supporting pharmaceutical R&D, Discovery & Development systems, scientific data, and IT integration initiatives.

The ideal candidate will have experience bridging R&D and IT, working with scientists, technical SMEs, Product Managers, Solution Architects, and cross-functional teams to deliver technology solutions and data integration activities.

Responsibilities
  • Lead and manage tasks, deliverables, and milestones for data integration projects.

  • Work with scientists and business stakeholders to define requirements for data capture, storage, search, integration, and visualization.

  • Apply FAIR data principles to scientific data management and integration.

  • Support chemical registration, compound categorization, sample management, and scientific data workflows.

  • Integrate structured and unstructured data into existing R&D / MRL application landscapes.

  • Manage onboarding of on-premise and cloud data, system migrations, and archiving.

  • Work with IT Product teams and Solution Architects to define technical solutions aligned with business requirements.

  • Support integration of eNotebook, chem/bioassay data, sample logistics, dashboards, and related scientific platforms.

  • Collaborate with Discovery Research, Data Science, Chem/Bioinformatics, and Genomics teams.

  • Translate business requirements into executable IT solutions and delivery plans.

  • Manage project plans, timelines, risks, Jira tasks, and Kanban boards.

  • Ensure appropriate pharmaceutical industry standards and regulatory requirements are followed.

  • Coordinate transition and handoff of completed integration activities to business and operational teams.

Required Skills
  • Strong experience in Pharmaceutical / Life Sciences IT.

  • Experience with Scientific Informatics and scientific software.

  • Experience supporting R&D, Discovery Research, or Drug Discovery/Development environments.

  • Strong experience with data integration and scientific data management.

  • Understanding of SDLC and FAIR data principles.

  • Strong stakeholder management and project delivery experience.

  • Experience working with chemical databases and compound registration.

  • Knowledge of chemical structure formats such as MOL, SDF, SMILES, InChI, and CAS Registry Numbers.

  • Experience with Jira and Kanban.

  • Strong communication and cross-functional collaboration skills.

Preferred Skills
  • Oracle / SQL

  • Python

  • Cloud and on-premise data integration

  • Data migration and archiving

  • eNotebook

  • Chem/Bioassay systems

  • Bioinformatics / Genomics

  • Scientific data visualization

  • Pharmaceutical R&D applications

Keywords: Scientific Informatics, Life Sciences, Pharmaceutical IT, R&D IT, Research Informatics, Scientific Data, Data Integration, Drug Discovery, Drug Development, Chemical Informatics, Bioinformatics, Genomics, FAIR Data, SDLC, SQL, Oracle, Python, Jira, Kanban.