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Clinical Ai Jobs in Rochester, NY (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Rochester, NY · Remote

$80 - $110/hr

... AI-driven discovery platforms. * Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources. * Provide ...

Athena

LCSW Clinical Supervisor - Remote

Rochester, NY · On-site

$60 - $65/hr

Provide weekly clinical supervision to therapists as assigned, and document supervision sessions in ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Athena

LCSW Clinical Supervisor - Remote

Rochester, NY · Remote

$60 - $65/hr

Provide weekly clinical supervision to therapists as assigned, and document supervision sessions in ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Athena

Intake Clinician (License Required)

Rochester, NY · On-site

$65K - $75K/yr

Work in collaboration with the Clinical Director and other intake workers to ensure day-to-day ... Athena is an Equal Opportunity Employer We may use artificial intelligence (AI) tools to support ...

Athena

Intake Clinician (License Required)

Rochester, NY · On-site

$65K - $75K/yr

Work in collaboration with the Clinical Director and other intake workers to ensure day-to-day ... Athena is an Equal Opportunity Employer We may use artificial intelligence (AI) tools to support ...

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All JobsClinical Ai JobsClinical Ai Jobs in Rochester, NY

Clinical Ai information

See Rochester, NY salary details

$14

$34

$88

How much do clinical ai jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for clinical ai in Rochester, NY is $34.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $32.50 per hour, depending on experience, location, and employer.

What is a clinical AI professional?

A Clinical AI professional is someone who applies artificial intelligence and machine learning techniques to healthcare settings, particularly to improve clinical decision-making, diagnostics, and patient outcomes. These professionals work at the intersection of technology, medicine, and data science, developing algorithms that can analyze medical data and assist clinicians. Their work may involve tasks such as building predictive models, automating image analysis, or supporting personalized medicine initiatives. Clinical AI professionals typically collaborate with healthcare providers, researchers, and technologists to ensure that AI tools are safe, effective, and aligned with clinical needs.

What are the key skills and qualifications needed to thrive as a clinical AI specialist?

To thrive as a Clinical AI Specialist, you need a strong background in healthcare, data science, and machine learning, typically supported by degrees in computer science or biomedical engineering and relevant healthcare experience. Familiarity with programming languages like Python, healthcare data standards (such as HL7 or FHIR), and AI platforms is crucial, along with certifications in AI or clinical informatics. Strong problem-solving, collaboration, and communication skills help bridge the gap between technical teams and clinical stakeholders. These skills are vital to ensure that AI solutions are effectively designed, accurately implemented, and safely integrated into clinical workflows to improve patient outcomes.

How does a clinical AI professional typically collaborate with healthcare providers and data scientists on projects?

Clinical AI professionals often serve as a bridge between healthcare providers and technical teams, working closely with clinicians to understand medical workflows and identify areas where AI can enhance patient care. They collaborate with data scientists to translate clinical requirements into technical specifications and validate AI models for clinical accuracy and safety. Regular interdisciplinary meetings, joint problem-solving sessions, and shared project management tools are common in this environment, facilitating effective communication and alignment on project goals.

What is the difference between Clinical Ai vs Clinical Data Analyst?

AspectClinical AiClinical Data Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and healthcare dataRequires a degree in health informatics, data science, or related fields
Work EnvironmentDevelops and implements AI models in healthcare settingsAnalyzes clinical data to support decision-making in healthcare
Employer & Industry UsageUsed by healthcare tech companies, hospitals, and research institutionsEmployed by hospitals, clinics, and healthcare organizations

Clinical Ai focuses on developing AI-driven solutions for healthcare, requiring technical expertise in AI and machine learning. Clinical Data Analysts interpret clinical data to improve patient care, often with a background in health informatics. While both roles work within healthcare, Clinical Ai is more technical and development-oriented, whereas Clinical Data Analysts focus on data analysis and reporting.

How to become a clinical AI specialist?

To become a clinical AI specialist, individuals typically need a strong background in healthcare or biomedical sciences combined with expertise in artificial intelligence, machine learning, or data science. Relevant skills include programming in Python or R, understanding of medical data, and familiarity with AI tools and frameworks. Earning a relevant degree such as a master's or Ph.D. in a related field and gaining experience through internships or projects are common steps.

What are some clinical AI healthcare jobs?

Clinical AI healthcare jobs include roles such as AI Clinical Data Analyst, Machine Learning Engineer for healthcare, Medical AI Research Scientist, and Clinical AI Software Developer. These positions typically require knowledge of healthcare data, programming skills, and understanding of medical workflows, often involving tools like Python, TensorFlow, or clinical data management systems.

What are popular job titles related to Clinical Ai jobs in Rochester, NY?

For Clinical Ai jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Clinical Ai jobs in Rochester, NY look for?

The top searched job categories for Clinical Ai jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Clinical Ai jobs?

Cities near Rochester, NY with the most Clinical Ai job openings:

Clinical Ai jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Rochester, NY • Remote

$80 - $110/hr

Part-time

Posted 28 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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