ZipRecruiter

Log In

1

Biomedical Informatics Jobs in New Jersey (NOW HIRING)

Rutgers University

Open Rank Faculty

Piscataway, NJ · On-site

PhD in Computer Science, Health Informatics, Biomedical Engineering, or a closely related field * Exceptional candidates with an MS in Computer Science and demonstrated expertise in generative AI ...

next page

Showing results 1-20

All JobsBiomedical Informatics JobsBiomedical Informatics Jobs in New Jersey

Biomedical Informatics information

See New Jersey salary details

$15

$28

$39

How much do biomedical informatics jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for biomedical informatics in New Jersey is $28.96, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $32.69 per hour, depending on experience, location, and employer.

What is biomedical informatics?

A Biomedical Informatics job involves applying computational techniques, data analysis, and information systems to improve healthcare, biomedical research, and patient care. Professionals in this field work on managing and analyzing medical data, developing health informatics tools, and optimizing electronic health records. They may collaborate with clinicians, researchers, and IT specialists to enhance decision-making and streamline healthcare processes. Roles vary from data scientists and bioinformaticians to health IT specialists and clinical informaticians.

What does a biomedical informatics professional do?

Professionals in Biomedical Informatics spend their days analyzing and managing healthcare data, designing or optimizing data systems, and collaborating with clinicians, IT staff, and researchers to implement technology solutions. Tasks often include developing algorithms to improve clinical workflows, ensuring data integrity and security, and facilitating the integration of health information systems. Much of the work involves translating clinical needs into technical requirements and interpreting data-driven results to help guide decision-making in healthcare settings. This role often requires continuous learning to keep pace with advancements in both medical science and information technology.

What skills and qualifications are needed for biomedical informatics?

To thrive in Biomedical Informatics, you need a strong background in healthcare, computer science, and data analytics, typically with an advanced degree in a related field. Familiarity with programming languages like Python or R, experience with electronic health records (EHRs), and knowledge of standards such as HL7 or FHIR are often required, as are certifications like AMIA Health Informatics Certification. Excellent problem-solving, communication, and teamwork skills help distinguish top candidates in collaborative, interdisciplinary environments. These skills are crucial for transforming complex health data into actionable insights that drive improvements in patient care and healthcare systems.

Is biomedical informatics a good career?

Biomedical informatics is a growing field that combines healthcare, data analysis, and information technology to improve patient outcomes and research. It offers diverse job opportunities, often requiring skills in programming, data management, and knowledge of healthcare systems. The career can be rewarding for those interested in interdisciplinary work and technological innovation.

Is biomedical informatics still a good career?

Biomedical informatics is a growing field that combines healthcare, data analysis, and information technology, with increasing demand for professionals skilled in data management, electronic health records, and health data analytics. The field offers diverse roles in research, clinical settings, and industry, often requiring knowledge of programming, databases, and healthcare systems. Job prospects remain strong due to ongoing advancements in healthcare technology and data-driven decision making.

What can you do with a degree in biomedical informatics?

A degree in biomedical informatics prepares individuals for roles such as clinical informaticist, health data analyst, or biomedical software developer. Graduates work with electronic health records, health information systems, and data analysis tools to improve healthcare delivery and research. Skills in programming, data management, and understanding healthcare workflows are essential in this field.

What are the most commonly searched types of Biomedical Informatics jobs in New Jersey?

The most popular types of Biomedical Informatics jobs in New Jersey are:

What are popular job titles related to Biomedical Informatics jobs in New Jersey?

For Biomedical Informatics jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Biomedical Informatics jobs in New Jersey look for?

The top searched job categories for Biomedical Informatics jobs in New Jersey are:

Biomedical Informatics jobs near you
Infographic showing various Biomedical Informatics job openings in New Jersey as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $60,237 per year, or $29 per hour.

Principal Scientist, Data Science (Translational Knowledge Engineering)

Scorpion Therapeutics

Raritan, NJ • On-site

$150 - $190/hr

Other

PTO

This job post has expired today. Applications are no longer accepted.

Job description

Position Summary
  • Design and implement semantic and knowledge architecture enabling AI-driven reasoning across the drug discovery and development lifecycle.
  • Lead ontology development, knowledge graph design, semantic interoperability, and AI-ready knowledge representation.
Mission
  • Build the semantic foundation for AI reasoning across discovery, preclinical, clinical, and post-marketing domains while preserving meaning, provenance, and translational fidelity.
Key Responsibilities
  1. Semantic Architecture & Knowledge Modeling: Design/maintain enterprise knowledge models (discovery biology, toxicology, safety pharmacology, pathology, clinical development, pharmacovigilance, real-world evidence); create conceptual/logical/physical knowledge models.
  2. Ontology Engineering & Governance: Lead ontology strategy, development, governance, lifecycle management; ensure semantic consistency, provenance/traceability, FAIR principles.
  3. Knowledge Graph & Reasoning Infrastructure: Build RDF-based knowledge graphs; develop mappings/inference rules/reasoning frameworks; enable GraphRAG, semantic retrieval, AI agents; establish interoperability.
  4. Translational Data Harmonization: Create semantic bridges across SEND, SDTM, ADaM, MedDRA, HPO, MONDO, SNOMED CT, FHIR, OMOP, Cell Ontology, Protein Ontology.
  5. Scientific & Cross-Functional Leadership: Partner with translational, safety, data science, AI/platform teams; influence semantic strategy and standards communities.
Required Qualifications
  • PhD or Master’s in Biomedical Informatics/Bioinformatics/Computational Biology/Computer Science/Information Science/Knowledge Engineering or related.
  • 5+ years in biomedical informatics, semantic technologies, knowledge engineering, or scientific data architecture.
  • Experience designing ontology-driven knowledge systems across drug discovery/development phases.
  • Expertise: ontology governance, knowledge representation; RDF/OWL/SHACL/SPARQL; semantic web technologies.
Preferred Qualifications
  • Experience building semantic foundations for AI/GraphRAG/agentic AI/scientific reasoning; LLM-based retrieval/reasoning.
  • Contributions to ontology standards/open-source biomedical ontologies/knowledge graphs.
Benefits (time off)
  • Vacation 120 hrs/yr; Sick time 40 hrs/yr (Colorado 48; Washington 56); Holiday pay incl. floating holidays 13 days/yr; Parental leave 480 hrs; plus other listed leave time.
#J-18808-Ljbffr

Apply