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Bioinformatics Genomics Jobs in Ridgefield, NJ (NOW HIRING)

In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required. This is a great opportunity to be involved in an innovative environment ...

Map genomic variants to common standards including HGVS nomenclature * Implement annotation ... Master's degree in Bioinformatics, Computational Biology, Computer Science, or related field ...

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Bioinformatics Genomics information

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How much do bioinformatics genomics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for bioinformatics genomics in Ridgefield, NJ is $31.63, according to ZipRecruiter salary data. Most workers in this role earn between $12.16 and $51.11 per hour, depending on experience, location, and employer.

Scientific Informatics Business Analyst / Consultant

StratG Inc

Roselle, NJ • On-site

Other

Posted 5 days ago


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.