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Business Informatics Jobs in New York (NOW HIRING)

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Feasibility Informatics Manager

New York, NY · On-site

Feasibility Informatics Manager ICON is a global healthcare intelligence and clinical research ... e.g., to Business Development Operations) and external clients (e.g., Sponsors), providing ...

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Business Informatics information

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$30.6K

$93.2K

$195.8K

How much do business informatics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for business informatics in New York is $93,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $122,000.00 per year, depending on experience, location, and employer.

What is a business informatics professional?

A Business Informatics job involves analyzing, designing, and implementing information systems that support business operations and decision-making. Professionals in this field bridge the gap between business and IT by leveraging technology to improve efficiency, data management, and strategic planning. They may work in roles such as business analysts, IT consultants, or data managers, helping organizations optimize their technological infrastructure. Strong analytical, problem-solving, and technical skills are essential for success in this role.

What does a business informatics professional do?

Business Informatics professionals often work on projects such as improving business process efficiency through technology, analyzing key business data to support decision-making, and implementing enterprise resource planning (ERP) systems. Their daily responsibilities may include gathering business requirements, translating them for IT teams, conducting data analyses, and supporting digital transformation initiatives. They frequently collaborate with both technical teams (such as software developers and data analysts) and business leaders to ensure solutions align with organizational objectives. This cross-functional work environment offers opportunities to develop project management skills and gain exposure to various parts of the business, creating a strong foundation for career advancement.

What are the key skills and qualifications needed to thrive in business informatics?

To thrive in Business Informatics, you need strong analytical abilities, IT proficiency, and a background in business administration or information systems, typically supported by a bachelor's or master's degree. Familiarity with data analytics tools (such as SQL, Tableau, or SAP), ERP systems, and industry-standard certifications (like CBIP or PMP) is highly valuable. Critical thinking, problem-solving, and effective communication are key soft skills for bridging the gap between technical teams and business stakeholders. These skills enable professionals to design, implement, and optimize information systems that support organizational goals.

What can you do with business informatics?

Business informatics professionals analyze and manage data to improve business processes, often using tools like databases, data analysis software, and enterprise systems. They work in roles such as data analysts, systems analysts, or IT consultants, supporting decision-making and operational efficiency.

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

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

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

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

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

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

Business Informatics jobs near you
Infographic showing various Business Informatics job openings in New York as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $93,188 per year, or $44.8 per hour.

Manager, Applied AI, Advanced Informatics

Tarrytown, NY • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

Other

Posted 16 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
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