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Remote Clinical Data Analyst Intern Jobs in Alaska

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

... and analyzing content for Bluesky and other corporate channels as needed * Proofread social media ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

... and analyzing content for Bluesky and other corporate channels as needed * Proofread social media ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

... and analyzing content for Bluesky and other corporate channels as needed * Proofread social media ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

... and analyzing content for Bluesky and other corporate channels as needed * Proofread social media ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

... and analyzing content for Bluesky and other corporate channels as needed * Proofread social media ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

... and analyzing content for Bluesky and other corporate channels as needed * Proofread social media ... Experience interpreting data and crafting graphs is a plus * Experience using social media for ...

Resource Planning Analyst

Homer, AK ยท Remote

$43K - $102K/yr

Job Location Remote - open to all US states Schedule/Hours Monday through Friday between 12:30 PM-9 ... Create, maintain, and distribute reporting and workforce data in Verint WFM and other applicable ...

Product Analyst

Anchorage, AK ยท Remote

$73K - $97K/yr

We are unable to support remote international applicants or routinely sponsor work visas. The ... Own the setup, maintenance, and governance of product catalog data including products, packages ...

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Remote Clinical Data Analyst Intern information

What does a remote clinical data analyst intern do?

A Remote Clinical Data Analyst Intern assists in collecting, organizing, and analyzing clinical trial data from various sources, often working from home. They help ensure data quality and integrity by cleaning datasets, performing statistical analyses, and supporting the preparation of reports for regulatory submissions or internal use. The role often involves learning to use specialized software and collaborating with clinical research teams to support decision-making in medical studies. This internship provides hands-on experience in the healthcare and data science fields.

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

To thrive as a Remote Clinical Data Analyst Intern, you need a background in life sciences, statistics, or related fields, along with familiarity with data analysis concepts. Experience with tools such as SAS, R, or SQL, and exposure to clinical trial management systems or electronic data capture (EDC) platforms is common. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills in this role. These skills are crucial for accurately analyzing clinical data, ensuring compliance, and supporting research outcomes in a collaborative, remote environment.

What are some common challenges faced by remote clinical data analyst interns, and how can they be addressed?

Remote Clinical Data Analyst Interns often encounter challenges such as managing large datasets, ensuring data quality, and maintaining effective communication with cross-functional teams. Working remotely may also require proactive time management and self-discipline to meet project deadlines. To overcome these challenges, interns should leverage collaborative tools, seek regular feedback from mentors, and participate in virtual team meetings to stay connected and informed. Developing strong organizational skills and being open to continuous learning can greatly enhance success in this role.

What is the difference between Remote Clinical Data Analyst Intern vs Remote Clinical Data Coordinator?

AspectRemote Clinical Data Analyst InternRemote Clinical Data Coordinator
CredentialsTypically pursuing or recent graduate in health informatics, data science, or related fieldUsually requires experience in data management and relevant certifications (e.g., CDMP)
Work EnvironmentInternship setting, often part-time or temporary, with supervisionFull-time remote role, responsible for data oversight and quality control
Industry UsageUsed in clinical research, pharmaceutical, and healthcare companies for entry-level rolesCommon in clinical research organizations and hospitals for ongoing data management

The Remote Clinical Data Analyst Intern is an entry-level position focused on learning and supporting data analysis tasks, often as part of an internship program. In contrast, the Remote Clinical Data Coordinator is a more experienced role responsible for managing and ensuring the accuracy of clinical data. While both roles involve working with clinical data remotely, the intern position emphasizes learning and support, whereas the coordinator role involves more responsibility and independent oversight.

What job categories do people searching Remote Clinical Data Analyst Intern jobs in Alaska look for?

The top searched job categories for Remote Clinical Data Analyst Intern jobs in Alaska are:

What cities in Alaska are hiring for Remote Clinical Data Analyst Intern jobs?

Cities in Alaska with the most Remote Clinical Data Analyst Intern job openings:

Cheminformatics Specialist - Remote

micro1 AI

Anchorage, AK โ€ข Remote

$80 - $110/hr

Part-time

Posted 29 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 customerโ€™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 โ€” 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, Schrรถdinger, 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.