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Remote Clinical Data Analyst Intern Jobs in Indiana

CSAA

  • Retirement

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Milliman

Strategic Data Partnership Manager

Indianapolis, IN · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

CSAA

  • Retirement

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

WilsonCTS

Pricing Analyst

Indianapolis, IN · On-site +1

$40 - $44/hr

Open to remote candidates Schedule: Standard workday Pay Rate: $40.00-$44.00 per hour Position ... Review equipment matchups, competitive data, and market pricing levels to determine appropriate ...

coty

$14.25 - $19/hr

Marketing Intern (m/f/d) - Fragrance Brands Darmstadt - 6 months internship Join Coty's our team in ... Analyze consumer, category, and sales data. * Work closely with Trade Marketing and Sales teams.

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Remote Clinical Data Analyst Intern information

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 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 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 popular job titles related to Remote Clinical Data Analyst Intern jobs in Indiana? For Remote Clinical Data Analyst Intern jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Analyst Intern jobs in Indiana look for? The top searched job categories for Remote Clinical Data Analyst Intern jobs in Indiana are:
What cities in Indiana are hiring for Remote Clinical Data Analyst Intern jobs? Cities in Indiana with the most Remote Clinical Data Analyst Intern job openings:
Remote Clinical Data Analyst Intern jobs near you

AI Training Specialist - Life Sciences

micro1 AI

Indianapolis, IN • Remote

$90 - $120/hr

Part-time

Posted 15 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply