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Clinical Data Jobs in Rochester, NY (NOW HIRING)

This non-exempt analytical position is based in a large outpatient family medicine practice; data coordinator provides support to clinical teams to ensure that patients receive chronic disease care ...

Collaborate with Statisticians and Data Management for clinical supply randomization kit/med list. * Collaborate with Clinical Ops and Data Management for RTSM system set-up. UAT testing. * Manage ...

Collaborate with Statisticians and Data Management for clinical supply randomization kit/med list. * Collaborate with Clinical Ops and Data Management for RTSM system set-up. UAT testing. * Manage ...

Collect, record, and maintain accurate clinical research data and source documentation in compliance with regulatory and institutional standards. * Communicate with study participants to provide ...

Collect, record, and maintain accurate clinical research data and source documentation in compliance with regulatory and institutional standards. * Communicate with study participants to provide ...

Collect, record, and maintain accurate clinical research data and source documentation in compliance with regulatory and institutional standards. * Communicate with study participants to provide ...

Clinical Pharmacist Rochester, New York Job Type: Contract Pay Rate: $55 Summary Description ... data analysis and/or benefit interpretation process experience * Must possess strong customer ...

Clinical Pharmacist

Rochester, NY ยท On-site

$116K - $139K/yr

The clinical pharmacist position is responsible for and participates in a wide range of provider ... data analysis and/or benefit interpretation process experience * Must possess strong customer ...

Showing results 21-40

Clinical Data information

See Rochester, NY salary details

$19

$56

$80

How much do clinical data jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for clinical data in Rochester, NY is $56.41, according to ZipRecruiter salary data. Most workers in this role earn between $44.57 and $67.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a clinical data specialist, and why are they important?

To thrive as a Clinical Data Specialist, you need a solid background in life sciences, data management principles, and familiarity with regulatory guidelines, often supported by a relevant degree. Proficiency in clinical data management systems (CDMS), electronic data capture (EDC) tools, and knowledge of standards like CDISC or MedDRA is typically required. Strong attention to detail, analytical thinking, and effective communication skills are crucial soft skills for this role. These competencies ensure the accuracy and integrity of clinical trial data, supporting regulatory compliance and reliable outcomes in clinical research.

What is clinical data?

Clinical data refers to information collected during the course of ongoing patient care or as part of a clinical trial program. This data includes patient demographics, medical history, lab results, imaging studies, treatment plans, and outcomes. Clinical data is crucial for informing medical decisions, improving patient care, and supporting medical research and drug development. It is typically collected and managed by healthcare providers, researchers, and data professionals while maintaining strict standards for patient privacy and data security.

What is the difference between Clinical Data vs Clinical Data Coordinator?

AspectClinical DataClinical Data Coordinator
CredentialsTypically requires a degree in health informatics, life sciences, or related fieldRequires similar credentials, often with additional certification in clinical research or data management
Work EnvironmentData analysis, database management, and reporting in healthcare or research settingsOversees data collection, entry, and quality control in clinical trial or healthcare environments
Employer & Industry UsageUsed across hospitals, research institutions, and pharmaceutical companiesCommonly employed in clinical research organizations and hospitals

While both roles involve handling clinical data, Clinical Data professionals focus on data analysis and management, whereas Clinical Data Coordinators oversee data collection and quality assurance in clinical trials or healthcare settings.

What are some common challenges faced by professionals working in clinical data roles, and how can they be addressed?

Professionals in Clinical Data roles often encounter challenges such as managing large volumes of complex data, ensuring data quality and integrity, and adhering to strict regulatory standards. These challenges can be addressed by staying updated on industry best practices, utilizing advanced data management tools, and working closely with cross-functional teams such as clinical research and regulatory affairs. Continuous professional development and effective communication within the team are also key to overcoming these hurdles and ensuring successful clinical trial outcomes.
What are the most commonly searched types of Clinical Data jobs in Rochester, NY? The most popular types of Clinical Data jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Clinical Data jobs? Cities near Rochester, NY with the most Clinical Data job openings:
Infographic showing various Clinical Data job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,324 per year, or $56.4 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Rochester, NY โ€ข Remote

$90 - $120/hr

Part-time

Posted 10 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 โ€” your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.