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Biomedical Informatics Jobs in New York (NOW HIRING)

Jj

Principal Scientist, Data Science

Raritan, NJ

  • Retirement

  • PTO

D. degree in quantitative discipline (e.g., computer science, electrical and computer engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or similar), * 5+ ...

Rutgers University

Open Rank Faculty

Piscataway, NJ · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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 ...

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All JobsBiomedical Informatics JobsBiomedical Informatics Jobs in New York

Biomedical Informatics information

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How much do biomedical informatics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for biomedical informatics in New York is $31.21, according to ZipRecruiter salary data. Most workers in this role earn between $26.54 and $35.24 per hour, depending on experience, location, and employer.

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 still 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 roles in hospitals, research institutions, and industry, with demand driven by advancements in electronic health records and data-driven medicine. Professionals often require skills in programming, data management, and healthcare systems, making it a viable and evolving career choice.

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 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 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 York?

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

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

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

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

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

What cities in New York are hiring for Biomedical Informatics jobs?

Cities in New York with the most Biomedical Informatics job openings:

Biomedical Informatics jobs near you
Infographic showing various Biomedical Informatics job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $64,912 per year, or $31.2 per hour.

Scientist- Bioinformatics R&D -REMOTE

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted 7 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Scientist- Bioinformatics R&D tojoin our team. The Bioinformatics Scientist leads translational bioinformatics and product development for NGS pipelines as part of the R&D Bioinformatics department. This scientist is an integral part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data from reproductive health, cancer, and other diseases. As part of a development team of engineers and scientists, this scientist will translate research prototypes into production-quality, scalable pipeline products used by a variety of clinical diagnostics and research projects across many teams at Sema4. This scientist will serve as an authority in these products to other users and teams and optimize them to serve Sema4 data science needs.
RESPONSIBILITIES
  • Design, develop, and test NGS pipelines for clinical tests and research projects in oncology, reproductive health, and other indications.
  • Lead or support bioinformatics projects to translate NGS results, as well as public and internal genomic, phenotype, and clinical/EMR datasets, to features and optimizations of clinical utility.
  • Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusions, transcript isoforms, RNA abundance, RNA editing and modification) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays.
  • Work with wet labs and clinical teams to plan and design experiments to generate such data, and analyze this data.
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs.

QUALIFICATIONS
  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline requiring strong computational and analytical skills supplemented with biology background
  • Hands-on experience working with NGS tools with high proficiency, especially for sequence analysis and expression analysis
  • Strong coding proficiency in R, Python, and SQL programming languages in a Linux environment.
  • Well-versed in the art of effective communication on interdisciplinary teams (scientists, programmers, and clinicians), especially graphical communication about high-complexity datasets to scientific audiences from different backgrounds.
  • High self-motivation, great ability to work in both multiple-task and independent fashions.
  • Good understanding of molecular, cell, and developmental biology, especially where relevant to cancer genomics, oncology, or endocrine neoplasms, and especially molecular cloning and NGS library preparation methodologies.
  • Developing code using distributed version control tools (especially Git) and software issue tracking/management systems (especially Jira).
  • Using or developing genome browsers or other tools for visualization of genomic datasets.

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