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Entry Level Remote Health Informatics Jobs in New York

Garten

SMB Customer Success Manager

New York, NY · Remote

At Garten, we are pioneering a modern approach to health and wellbeing in the workplace, because we ... Maintain, foster, and develop remote client relationships with SMB and Garten Market client ...

Inizio

Field Service Representative

New York, NY · Remote

$46K - $85K/yr

This is an excellent entry-level role in the healthcare and pharmaceutical industries. The team ... Prepare for andparticipatein all requiredfield meetingsand training classes at local or remote ...

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Entry Level Remote Health Informatics information

What are the key skills and qualifications needed to thrive as an Entry Level Remote Health Informatics professional, and why are they important?

To thrive as an Entry Level Remote Health Informatics professional, you need a background in health information management, data analysis, and basic knowledge of healthcare systems, often supported by a relevant degree or certification such as RHIT or CAHIMS. Familiarity with electronic health record (EHR) systems, data analytics tools, and health informatics software is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you excel in collaborating with healthcare teams and ensuring data accuracy. These skills are essential for supporting efficient healthcare delivery, maintaining data integrity, and complying with regulatory standards in a remote environment.

What is an entry level remote health informatics job?

An entry level remote health informatics job involves working with healthcare data, systems, and technology to improve patient outcomes and healthcare processes, all from a remote location. These roles typically include tasks like managing electronic health records, analyzing health information, supporting data security, and helping with the implementation of health IT systems. Entry level positions usually require at least a bachelor's degree in health informatics, information technology, or a related field, but some roles may accept equivalent experience or certifications. Working remotely allows professionals to collaborate with healthcare teams and IT departments using digital tools and platforms. This role is ideal for individuals interested in both healthcare and technology, offering opportunities to grow in a rapidly expanding field.

What are some typical challenges faced when starting out in an entry level remote health informatics position?

Entry level remote health informatics professionals often encounter challenges such as adapting to healthcare data standards, learning specialized software systems, and balancing independent work with effective virtual collaboration. Additionally, understanding privacy regulations like HIPAA and maintaining clear communication with clinical and IT teams can require extra attention when working remotely. However, most organizations provide onboarding resources and mentorship to help new hires navigate these initial hurdles and build a strong foundation.
What are the most commonly searched types of Remote Health Informatics jobs in New York? The most popular types of Remote Health Informatics jobs in New York are:
What cities in New York are hiring for Entry Level Remote Health Informatics jobs? Cities in New York with the most Entry Level Remote Health Informatics job openings:
Entry Level Remote Health Informatics jobs near you

Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)

NUC S.A.I.

New York, NY • On-site, Remote

Contractor

Posted 22 days ago

Job description

About Us
Nucs AI is a pioneering MedTech startup focused on transforming prostate cancer care through advanced AI-driven software solutions. Our mission is to deliver personalized treatment options that enhance patient outcomes and streamline clinical workflows. We collaborate with leading medical institutions and pharmaceutical companies globally to achieve groundbreaking results in patient care.
Role Overview
Nucs AI is entering a significant phase of growth as we expand our capabilities across nuclear molecular imaging and broaden the clinical applications of our AI-driven products. As we scale, we are strengthening our clinical annotation and validation efforts to ensure our models remain accurate, relevant, and tightly aligned with real-world oncology care. To support this expansion, we are seeking an experienced Physician Annotator to play a critical role in the development and continuous improvement of our clinical AI solutions.
This role combines hands-on nuclear medicine imaging study review, structured clinical annotation, and thoughtful product feedback to ensure AI models are clinically accurate, reliable, and aligned with real-world care delivery. The Physician Annotator will serve as a key bridge between clinical practice, data science, and product teams - bringing practical expertise to annotation standards, model validation, workflow evaluation, and performance refinement.
As part of a fast-moving, clinically grounded AI team, you will directly contribute to how advanced imaging technologies are translated into trusted tools that support physician decision-making and improve cancer care delivery at scale.
Key Responsibilities
Clinical Expertise
  • As a subject matter expert contribute to the development and refinement of annotation protocols and clinical guidelines for different use cases.
  • Identify edge cases, ambiguities, and potential sources of bias in clinical data and model behavior
  • Participate in applied clinical AI research, including hypothesis development and evaluation of model performance.
  • Assist in generating research insights that may inform internal studies, publications, or regulatory documentation

Clinical Annotation & Validation
  • Perform reviews of nuclear medicine imaging exams and provide clinical insight and annotations to support AI model training and refinement. Clinical review tasks include review of studies with and without AI assistance for identification and delineation of areas of interest on a variety of nuclear medicine images (e.g., FDG, PSMA-PET/CT, SPECT) with precision and accuracy.
  • Validate AI outputs for clinical accuracy, safety, and relevance across defined use cases.
  • Review model errors and edge cases; provide structured clinical insights to improve performance.
  • Advise on clinically meaningful metrics, thresholds, and evaluation criteria.

Strategic product feedback
  • Provide concise, actionable clinical feedback on product features and workflows.
  • Advise product teams on feature prioritization based on clinical impact, risk, and feasibility.
  • Support retrospective and prospective analyses to assess clinical validity and real-world utility of AI models.
  • Evaluate usability and workflow integration from a clinician's perspective.

Cross-Functional Collaboration
  • Collaborate asynchronously with clinical, product, and data science teams.
  • Serve as a part-time clinical advisor supporting rapid iteration and informed decision-making.

Why Join Nucs AI
  • Work at the frontier of clinical AI: Help advance next-generation oncology tools in nuclear molecular imaging.
  • Have real clinical influence: Your work and feedback directly shape model performance, product behavior, and clinical reliability.
  • High scientific rigor: Contribute to clinically grounded development with a strong focus on safety, accuracy, and real-world validity.
  • Collaborate with a high-caliber team: Work closely with clinicians, engineers, and data scientists who move fast and value clarity.
  • Flexible by design: Part-time, contract, and fully remote with flexible hours (location restrictions may apply).
  • Mission that matters: Help improve how cancer care is delivered - at scale, and with real patient impact.

Required Qualifications
  • ABR/ABNM Board certified physician with minimum 3 or more years of experience in Nuclear Medicine (or Diagnostic Radiology with subspecialty certification in Nuclear Medicine).
  • Active, unrestricted medical license in the US.
  • Possesses demonstrated expertise in interpreting PET imaging for radioligand tracers such as FDG, PSMA, and SSTR, and in radioligand therapies.
  • Exceptional attention to detail and a commitment to producing high-quality work.

Preferred Experience
  • Prior experience with healthcare AI, digital health, or clinical informatics.
  • Experience with data annotation, clinical validation, or quality review.
  • Familiarity with ML concepts, model evaluation, or human-in-the-loop systems.
  • Experience advising on product strategy or clinical product development.

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