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Remote Health Informatics Data Analyst Jobs in Port Chester, NY

Product Data Analyst

New York, NY · Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Marketing Data Analyst

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze business health and revenue drivers across key segments (e.g., species, buyer type, order ... Data Quality, Process Improvement & AI Enablement * Identify and resolve data quality issues and ...

YipitData is the leading market research and analytics firm for the disruptive economy and most ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Degree in Computer Sciences, Statistics, Clinical Informatics or similar * Relevant certification ... BA/BS degree with 6+ years experience in data engineering, notably in the healthcare sector or 5+ ...

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Showing results 41-60

Remote Health Informatics Data Analyst information

See Port Chester, NY salary details

$47.1K

$94.8K

$138.5K

How much do remote health informatics data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote health informatics data analyst in Port Chester, NY is $94,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $110,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Health Informatics Data Analyst vs Remote Healthcare Data Specialist?

AspectRemote Health Informatics Data AnalystRemote Healthcare Data Specialist
Required CredentialsBachelor's in Health Informatics, Data Science, or related field; certifications like CPHIMS or CHDABachelor's in Health Information Management, Data Analytics; similar certifications
Work EnvironmentRemote, healthcare organizations, clinics, hospitalsRemote, healthcare providers, insurance companies, health tech firms
Industry UsageUsed for analyzing health data, improving patient outcomes, supporting clinical decisionsUsed for managing health data, ensuring data accuracy, compliance, and reporting

The Remote Health Informatics Data Analyst focuses on analyzing health data to improve clinical outcomes, while the Remote Healthcare Data Specialist manages and ensures the accuracy of health data. Both roles require similar credentials and often operate remotely within healthcare settings, but their core responsibilities differ in analysis versus data management.

What are popular job titles related to Remote Health Informatics Data Analyst jobs in Port Chester, NY?

For Remote Health Informatics Data Analyst jobs in Port Chester, NY, the most frequently searched job titles are:

What cities near Port Chester, NY are hiring for Remote Health Informatics Data Analyst jobs?

Cities near Port Chester, NY with the most Remote Health Informatics Data Analyst job openings:

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 15 days ago


Job description

Contact: Neisha Camacho/Terra Parsons -
No 3rd party candidates

We are partnering with a growing biotech organization seeking a Clinical Data Manager/Data Analyst to support ongoing and upcoming clinical programs across multiple therapeutic areas.

This role will sit within a highly collaborative clinical development team and is ideal for a hands-on, analytical Clinical Data Manager who enjoys digging into the data, identifying trends or issues proactively, and developing creative solutions to improve data quality and study execution. The client is seeking someone resourceful and technically curious — not just process-oriented — with the ability to independently explore datasets, generate meaningful reports, and surface potential issues early.

The ideal candidate will bring a blend of traditional clinical data management expertise along with strong data review, querying, and analytical skills. Experience with R, SQL, SAS, or other data interrogation and reporting tools is highly desirable.

Key Responsibilities

  • Support clinical data management activities across studies from start-up through database lock
  • Perform hands-on data review and exploratory analysis to identify data trends, inconsistencies, missing data patterns, and potential study risks
  • Develop custom reports, listings, and data visualizations to support proactive data cleaning and study oversight
  • Utilize R, SQL, SAS, or similar tools to query, analyze, and troubleshoot clinical datasets
  • Partner with CROs and vendors to ensure high-quality, timely data delivery
  • Collaborate cross-functionally with Clinical Operations, Biostatistics, Statistical Programming, Medical, and Safety teams on data review strategies and issue resolution
  • Contribute to development and review of key deliverables including:
    • Data Management Plans (DMPs)
    • eCRF design and completion guidelines
    • Edit checks and query logic
    • User Acceptance Testing (UAT)
    • Data review plans and cleaning processes
  • Support ongoing query management and ensure data integrity, consistency, and inspection readiness
  • Assist with implementation of data standards, reporting enhancements, and process improvements
  • Work independently to investigate data anomalies and recommend practical solutions in a fast-paced biotech environment

Qualifications

  • BS in a scientific, technical, or clinical discipline
  • Approximately 5–8 years of clinical data management experience within biotech, pharma, or CRO environments
  • Strong hands-on experience reviewing and interrogating clinical trial data
  • Experience using R, SQL, SAS, or other querying/reporting tools to analyze clinical data and generate custom reports
  • Experience with EDC systems such as Medidata Rave, Oracle, or Veeva
  • Working knowledge of CDISC standards (SDTM/ADaM) and downstream data usage
  • Experience supporting Phase II and/or III clinical trials; CNS experience is a plus
  • Exposure to CRO/vendor oversight
  • Understanding of clinical data structures and dictionaries including MedDRA and WHODrug
  • Strong critical thinking and problem-solving skills with the ability to work independently
  • Resourceful, proactive, detail-oriented, and comfortable operating in a dynamic biotech environment
  • Strong communication and cross-functional collaboration skills