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Remote Data Analytics Fall Internship Jobs in Melbourne, FL

micro1 AI

Bioinformatics Software Engineer

Palm Bay, FL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Analyze and interpret small-molecule and drug discovery datasets using advanced computational ...

Obsidian Financial Services

Be Seen First

Senior Mortgage Underwriter

Melbourne, FL · Remote

$70K - $80K/yr

  • PTO

Proficiency in financial software tools used for data collection, analysis, and reporting within ... We provide a remote-first environment, cutting-edge technology, and a strong internal support ...

micro1 AI

Director of Biostatistics

Palm Bay, FL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

micro1 AI

Biostatistician

Palm Bay, FL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

L3HHCM20

Lead, Finance

Melbourne, FL · On-site +1

$105K - $196K/yr

  • Medical

  • Retirement

  • PTO

Melbourne, FL; Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... data into decision making information * Provide capital investment analysis for Service Area

L3HHCM20

Senior Associate, Finance

Melbourne, FL · On-site +1

$67K - $124K/yr

  • Medical

  • Retirement

  • PTO

Melbourne, FL; Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... analysis as requested * Streamline and automate processes for transforming financial data into ...

L3HHCM20

Specialist, Finance

Melbourne, FL · On-site +1

$76K - $141K/yr

  • Medical

  • Retirement

  • PTO

Melbourne, FL; Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... analysis as requested * Streamline and automate processes for transforming financial data into ...

micro1 AI

Director of Biostatistics

Palm Bay, FL · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

micro1 AI

Biostatistician

Palm Bay, FL · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

L3HHCM20

Associate, Finance Shared Services

Melbourne, FL · Remote

$42K - $85K/yr

  • Retirement

Remote The Accounts Receivable Cash Applications Analyst is responsible for the timely, accurate ... data integrity across systems. * Partner with internal stakeholders to research and clear ...

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All JobsData Analytics Fall JobsRemote Data Analytics Fall Internship JobsRemote Data Analytics Fall Internship Jobs in Melbourne, FL

Remote Data Analytics Fall Internship information

See Melbourne, FL salary details

$11

$20

$38

How much do remote data analytics fall internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data analytics fall internship in Melbourne, FL is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.74 per hour, depending on experience, location, and employer.

What is a remote data analytics fall internship?

A Remote Data Analytics Fall Internship is a temporary, typically part-time position offered during the fall semester that allows students or recent graduates to work on data analytics projects from a remote location. Interns gain hands-on experience analyzing data, creating reports, and using analytical tools while collaborating with a team virtually. This internship helps individuals build valuable skills in data analysis, communication, and problem-solving, often serving as a pathway to full-time roles in data science or analytics.

What are the key skills and qualifications needed to thrive as a remote data analytics fall intern?

To thrive as a Remote Data Analytics Fall Intern, you need strong analytical abilities, proficiency in statistics, and foundational knowledge of data analysis, typically gained through coursework in data science, mathematics, or related fields. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau or Power BI is common, and basic certification in analytics or programming can be beneficial. Excellent communication, time management, and problem-solving skills help interns stand out, especially in a remote environment. These skills and qualities are crucial for effectively analyzing data, collaborating virtually, and delivering actionable insights to support business decisions.

What are some common challenges interns face during a remote data analytics fall internship, and how can they overcome them?

One common challenge is staying connected and communicating effectively with team members when working remotely. Interns may also find it difficult to access data or tools due to security protocols or lack of familiarity with remote platforms. To overcome these challenges, it's important to proactively schedule regular check-ins with your supervisor, ask for clear documentation, and leverage collaborative tools like Slack or Microsoft Teams. Building strong virtual relationships and being diligent about time management can also help ensure a productive and rewarding remote internship experience.

What is the difference between Remote Data Analytics Fall Internship vs Remote Data Analyst?

AspectRemote Data Analytics Fall InternshipRemote Data Analyst
CredentialsTypically pursuing or recent graduate in data-related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentInternship program, often part-time or project-basedFull-time or part-time professional role
Employer UsageInternship programs in tech, finance, healthcare, etc.Established companies, startups, consulting firms
Search IntentLearning, gaining experience, entry-level opportunitiesPerforming data analysis, reporting, decision support

The Remote Data Analytics Fall Internship is an entry-level, temporary position designed for students or recent graduates to gain hands-on experience. In contrast, a Remote Data Analyst is a full-time professional role requiring more experience and responsibilities. Internships focus on learning and skill development, while data analyst roles involve ongoing analysis and decision-making support.

What are popular job titles related to Remote Data Analytics Fall Internship jobs in Melbourne, FL?

For Remote Data Analytics Fall Internship jobs in Melbourne, FL, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Fall Internship jobs in Melbourne, FL look for?

The top searched job categories for Remote Data Analytics Fall Internship jobs in Melbourne, FL are:

What cities near Melbourne, FL are hiring for Remote Data Analytics Fall Internship jobs?

Cities near Melbourne, FL with the most Remote Data Analytics Fall Internship job openings:

Remote Data Analytics Fall Internship jobs near you
Infographic showing various Remote Data Analytics Fall Internship job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $43,388 per year, or $20.9 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Palm Bay, FL • Remote

$80 - $110/hr

Part-time

Posted 17 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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