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Remote Clinical Data Analyst Intern Jobs in Indiana

ppgnhaik

Clinical Director of Virtual Care Programs

Honolulu, HI · Remote

$79K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hire, mentor, and manage remote care staff (APCs, RNs, case managers, patient navigators) and ... Strong organizational skills, comfort with data/reporting, and process improvement mindset.

coty

$14.25 - $19/hr

Support market analysis, reporting, and performance tracking. * Prepare business data and ... We believe that a more flexible philosophy of remote working will give everyone the freedom to ...

coty

$14.25 - $19/hr

Analytical mindset with high affinity for numbers and data. * Structured, independent, and solution ... We believe that a more flexible philosophy of remote working will give everyone the freedom to ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Symmetry

$14.75 - $19.50/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

Symmetry

$14.25 - $19/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

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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:
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Remote Clinical Data Analyst Intern jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

South Bend, IN • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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