1

Biomedical Informatics Jobs in New York (NOW HIRING)

next page

Showing results 1-20

Biomedical Informatics information

See New York salary details

$16

$31

$42

How much do biomedical informatics jobs pay per hour?

As of Sep 5, 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 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 York?

The most popular types of 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:

Infographic showing various Biomedical Informatics job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,912 per year, or $31.2 per hour.

Manager, Applied AI, Advanced Informatics

Scorpion Therapeutics

Tarrytown, NY • On-site

$180 - $280/hr

Other

Posted 6 days ago


Job description

Discover Your Role
  • Frame clinical and business informatics challenges into well-scoped AI/ML problem statements with clear success criteria
  • Design and build ML pipelines (data ingestion, feature engineering, training, evaluation) alongside production engineering
  • Run experiments, benchmarks, and ablation studies to validate model performance and guide modeling decisions
  • Partner across clinical informatics, data engineering, and ML engineering to bring models into real workflows
  • Track advances in foundation models, LLMs, and retrieval-augmented generation, and apply them to biomedical/health data
  • Document research findings and contribute to internal reports, publications, or conference presentations
  • Explain model behavior, limitations, and performance to technical and non-technical teams
This Role Requires
  • Bachelor’s in CS/ML/Data Science/Biomedical Informatics/Statistics or related; Master’s/Ph.D. strongly preferred with 4–6+ years applied AI/ML (Ph.D. research experience considered)
  • Grounding in supervised, unsupervised, and self-supervised learning; deep neural networks; modern ML frameworks (PyTorch/TensorFlow or equivalent)
  • Strong Python skills (scikit-learn, HuggingFace Transformers, pandas, NumPy)
  • Experience designing/evaluating NLP or multimodal models, including LLM fine-tuning or prompt engineering
  • Experiment tracking/versioning/reproducibility (MLflow, W&B, DVC, or similar)
  • Familiarity with cloud ML (AWS SageMaker/GCP Vertex AI/Azure ML or equivalent)
  • Experience with health/life sciences data (EHR/EMR, claims, clinical notes, genomic, imaging)
  • Familiarity with medical terminologies/ontologies (SNOMED CT, ICD-10/11, LOINC, RxNorm, OMOP CDM)
  • Published/open-source work in applied ML/NLP/computational biomedicine
  • MLOps/CI/CD for ML or model observability in production
  • Familiarity with federated learning, privacy-preserving ML, or regulated data use agreements
#J-18808-Ljbffr