ZipRecruiter

Log In

2

Clinical Data Associate Remote Jobs in Miami, FL

micro1 AI

Cheminformatics Specialist - Remote

Miami, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

YO AI Labs

Clinical Document Author - Remote

Miami, FL · Remote

$50 - $80/hr

Medical Writer / Clinical Document Author Location: Remote Job Type: Contractor Pay: $50-$80/hour ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

previous pagenext page

Showing results 21-40

All JobsClinical Data Associate JobsClinical Data Associate Remote JobsClinical Data Associate Remote Jobs in Miami, FL

Clinical Data Associate Remote information

See Miami, FL salary details

$13

$37

$82

How much do clinical data associate remote jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for clinical data associate remote in Miami, FL is $37.26, according to ZipRecruiter salary data. Most workers in this role earn between $28.03 and $37.26 per hour, depending on experience, location, and employer.

What is a clinical data associate?

A Clinical Data Associate (Remote) is a professional who manages and verifies data collected during clinical trials, working from a remote location. They ensure the accuracy, integrity, and confidentiality of clinical trial data, collaborating with clinical teams and using specialized software. Their responsibilities include data entry, cleaning, validation, and generating reports to support regulatory submissions. Remote Clinical Data Associates utilize secure systems to access and manage data, allowing them to efficiently support clinical research from anywhere.

What are the key skills and qualifications needed to thrive as a clinical data associate?

To thrive as a Clinical Data Associate (Remote), you need a strong background in life sciences, data management, and an understanding of clinical trial processes, often supported by a relevant bachelor's degree. Familiarity with electronic data capture (EDC) systems, clinical data management software, and GCP (Good Clinical Practice) certification are commonly required. Attention to detail, problem-solving abilities, and effective virtual communication are crucial soft skills for managing data integrity and collaborating with remote teams. These skills and qualifications ensure the accurate collection, validation, and reporting of clinical trial data, which is essential for regulatory compliance and successful study outcomes.

What are some common challenges faced by a clinical data associate working remotely, and how can they be managed?

Clinical Data Associates working remotely often face challenges related to communication and maintaining data quality standards across distributed teams. It can be more difficult to collaborate with clinical research coordinators, data managers, and other stakeholders without in-person interactions, making clear and timely communication essential. Utilizing secure data management platforms, participating in regular virtual meetings, and adhering strictly to data integrity protocols can help address these challenges. Proactively seeking feedback and staying updated on regulatory changes also contribute to maintaining high standards while working remotely.

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

AspectClinical Data Associate RemoteClinical Data Coordinator
CredentialsBachelor's in life sciences or related field; familiarity with data management systemsBachelor's in health sciences or related field; experience with clinical data
Work EnvironmentRemote, primarily computer-basedTypically on-site or hybrid, working with clinical teams
Employer & IndustryPharmaceutical companies, CROs, biotech firmsHospitals, research institutions, clinical trial sites
Search & Comparison IntentYesYes

The Clinical Data Associate Remote and Clinical Data Coordinator roles share similarities in required education and industry usage. However, Clinical Data Associate Remote positions are primarily remote and focus on data entry and management from a distance, while Clinical Data Coordinators often work on-site, coordinating data collection and quality at clinical sites. Both roles are essential in clinical research but differ mainly in work setting and specific responsibilities.

What are popular job titles related to Clinical Data Associate Remote jobs in Miami, FL?

For Clinical Data Associate Remote jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Clinical Data Associate Remote jobs in Miami, FL look for?

The top searched job categories for Clinical Data Associate Remote jobs in Miami, FL are:

What cities near Miami, FL are hiring for Clinical Data Associate Remote jobs?

Cities near Miami, FL with the most Clinical Data Associate Remote job openings:

Clinical Data Associate Remote jobs near you
Infographic showing various Clinical Data Associate Remote job openings in Miami, FL as of June 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,491 per year, or $37.3 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Miami Gardens, FL • Remote

$80 - $110/hr

Part-time

Posted 19 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.

Apply