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Remote Clinical Data Management Jobs in Kansas (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Topeka, KS · 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

Bioinformatics Software Engineer

Wichita, KS · 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

Bioinformatics Software Engineer

Olathe, KS · 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 ...

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... Remote US, UK, Ireland, Poland, Canada ICON is a global healthcare intelligence and clinical ... Data Management, Biostatistics, Pharmacovigilance, Medical Affairs, and other critical delivery ...

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Remote Clinical Data Management information

What are some common challenges faced when managing clinical data remotely, and how can they be addressed?

Remote Clinical Data Management professionals often encounter challenges such as ensuring data integrity, maintaining secure access to sensitive information, and staying aligned with team workflows despite geographic separation. To address these issues, it's important to leverage validated electronic data capture (EDC) systems, follow strict data security protocols, and participate in regular virtual meetings for clear communication. Building strong relationships with cross-functional teams and staying proactive about regulatory updates also contribute to overcoming these remote work challenges.

What is remote clinical data management?

Remote clinical data management involves overseeing and maintaining the accuracy, integrity, and security of clinical trial data from a location outside of a traditional office or clinical site. Professionals in this field use digital tools and software to collect, validate, and analyze data gathered during clinical studies, ensuring regulatory compliance and high data quality. This role is essential for supporting drug development and medical research, and typically requires strong attention to detail, knowledge of data management systems, and understanding of clinical trial processes.

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

To thrive as a Remote Clinical Data Manager, you need expertise in clinical data standards, database management, and regulatory compliance, typically supported by a degree in life sciences or a related field. Familiarity with electronic data capture (EDC) systems, clinical trial management systems (CTMS), and certifications such as CDM (Certified Clinical Data Manager) are highly valuable. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for managing data integrity and collaborating with cross-functional teams remotely. These skills ensure accurate, compliant data collection and reporting, which are vital for successful clinical trials and regulatory submissions.
What are the most commonly searched types of Clinical Data Management jobs in Kansas? The most popular types of Clinical Data Management jobs in Kansas are:
What are popular job titles related to Remote Clinical Data Management jobs in Kansas? For Remote Clinical Data Management jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Management jobs in Kansas look for? The top searched job categories for Remote Clinical Data Management jobs in Kansas are:
What cities in Kansas are hiring for Remote Clinical Data Management jobs? Cities in Kansas with the most Remote Clinical Data Management job openings:
Remote Clinical Data Management jobs near you
Infographic showing various Remote Clinical Data Management job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Kansas City, KS • Remote

$80 - $110/hr

Part-time

Posted 9 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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