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Manager Remote Clinical Data Abstractor Jobs in Houston, TX

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

Clinical Affairs Scientist

Houston, TX · On-site +1

$105K - $197K/yr

... to manage multiple projects in a fast-paced environment with changing priorities. * Must be able to work and make independent decisions, understand complex scientific and clinical data information ...

New

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 ...

Telehealth RN

Texas City, TX · Remote

$32 - $39/hr

These roles are 100% remote and involve conducting outbound calls to patients and receiving inbound ... clinical data required to support adherence to regulatory program requirements and therapy ...

New

Data Analyst Location: Remote Duration: 6 months- Initially 20- 30 hours a week. Data Analyst Role ... We have an overall project manager person that has done this before managing the overall effort. We ...

Manager, Clinical Support

Houston, TX · Remote

$71K - $109K/yr

Leverage data to assign priority work across teams, hit daily/weekly/monthly operational KPIs and ... to remote work needs. Mid-Senior Level - #LIRemote #ZR #mid-seniorlevel Recruitment Scam Notice We ...

Manager, Clinical Support

Houston, TX · Remote

$71K - $109K/yr

Leverage data to assign priority work across teams, hit daily/weekly/monthly operational KPIs and ... to remote work needs. Mid-Senior Level - #LIRemote #ZR #mid-seniorlevel Recruitment Scam Notice We ...

Showing results 41-60

Manager Remote Clinical Data Abstractor information

See Houston, TX salary details

$19

$54

$78

How much do manager remote clinical data abstractor jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for manager remote clinical data abstractor in Houston, TX is $54.59, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $64.95 per hour, depending on experience, location, and employer.

What is the difference between Manager Remote Clinical Data Abstractor vs Remote Clinical Data Abstractor?

AspectManager Remote Clinical Data AbstractorRemote Clinical Data Abstractor
ResponsibilitiesOversees data abstraction team, manages quality control, and ensures project timelinesPerforms data abstraction tasks, reviews medical records, and enters data into databases
CredentialsTypically requires experience in clinical data management, often with supervisory skillsRequires knowledge of medical terminology, certifications like CDIS or RAC, and attention to detail
Work EnvironmentRemote, team management, collaboration with project teamsRemote, focused on data entry and review

The main difference is that the Manager Remote Clinical Data Abstractor oversees the team and manages projects, while the Remote Clinical Data Abstractor focuses on performing data abstraction tasks. Both roles require clinical knowledge and attention to detail, but the manager position involves leadership and quality oversight.

What are the most commonly searched types of Remote Clinical Data Abstractor jobs in Houston, TX?

The most popular types of Remote Clinical Data Abstractor jobs in Houston, TX are:

Infographic showing various Manager Remote Clinical Data Abstractor job openings in Houston, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $113,554 per year, or $54.6 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Pearland, TX • 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.