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Internship Remote Clinical Data Manager Jobs in Colorado

micro1 AI

Cheminformatics Specialist - Remote

Denver, CO · 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 ...

micro1 AI

Cheminformatics Specialist - Remote

Pueblo, CO · 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 ...

micro1 AI

Cheminformatics Specialist - Remote

Aurora, CO · 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 ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

... clinical, claims, demographic, and provider data into a single governed platform that powers ... This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise ...

Guardian Recovery

Clinical Intake Coordinator

Denver, CO · On-site +1

$59K - $79K/yr

This is a remote position designed to support and scale virtual services across the organization ... interns or credential-interns and shall: I. Be enrolled in a course of study leading to a CADC or ...

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Internship Remote Clinical Data Manager information

What is an internship remote clinical data manager?

An Internship Remote Clinical Data Manager is a trainee or entry-level professional who assists in managing and organizing clinical trial data from a remote location. Their tasks typically include collecting, cleaning, and validating clinical data to ensure accuracy and compliance with regulatory standards. Working remotely, they use specialized software to support the data management process and collaborate with clinical teams virtually. This role helps interns gain valuable experience in clinical research and data management while allowing flexibility in work location.

What are the typical responsibilities and learning opportunities for an intern in a remote clinical data manager role?

As an intern in a remote Clinical Data Manager position, you will typically assist in collecting, cleaning, and managing clinical trial data under the supervision of experienced data managers. You'll gain hands-on experience with electronic data capture (EDC) systems, help with data validation, and support quality control processes to ensure data accuracy. This role offers valuable exposure to industry-standard practices, collaboration with clinical research teams, and insight into regulatory compliance requirements. The remote setting also helps you develop strong communication and time management skills, which are essential for success in the field.

What are the key skills and qualifications needed to thrive as an internship remote clinical data manager, and why are they important?

To thrive as an Internship Remote Clinical Data Manager, you typically need a background in life sciences, data management, or related fields, with strong analytical and organizational skills. Familiarity with clinical data management systems (CDMS), EDC platforms like Medidata or Oracle Clinical, and an understanding of regulatory guidelines such as GCP are highly valuable. Attention to detail, effective communication, and problem-solving abilities are essential soft skills for ensuring data accuracy and collaborating across remote teams. These competencies are crucial for maintaining data integrity, regulatory compliance, and the success of clinical research projects.

What is the difference between Internship Remote Clinical Data Manager vs Remote Clinical Data Coordinator?

AspectInternship Remote Clinical Data ManagerRemote Clinical Data Coordinator
CredentialsTypically pursuing or holding a degree in life sciences or related field; some internships may require basic knowledge of clinical dataUsually requires a degree or certification in health sciences, with some experience in data management
Work EnvironmentRemote internship, often part-time, with supervision from senior staffRemote or hybrid, supporting data entry, validation, and management tasks
Employer & IndustryPharmaceutical, biotech, or clinical research organizations; entry-level positionSimilar industries, often as entry or support role in clinical research teams

The Internship Remote Clinical Data Manager is an entry-level, temporary position designed for students or recent graduates gaining experience in clinical data management. In contrast, the Remote Clinical Data Coordinator is a more operational role focused on data entry and validation. Both roles are remote, require related educational backgrounds, and serve as stepping stones into the clinical research industry.

What are popular job titles related to Internship Remote Clinical Data Manager jobs in Colorado?

For Internship Remote Clinical Data Manager jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Internship Remote Clinical Data Manager jobs in Colorado look for?

The top searched job categories for Internship Remote Clinical Data Manager jobs in Colorado are:

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Cities in Colorado with the most Internship Remote Clinical Data Manager job openings:

Internship Remote Clinical Data Manager jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Denver, CO • Remote

$80 - $110/hr

Part-time

Posted 21 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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