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Entry Level Clinical Data Analyst Jobs in Nevada

micro1 AI

AI Training Specialist - Life Sciences

Reno, NV · Remote

$90 - $120/hr

Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer subject ...

micro1 AI

Digital Chemistry Specialist - Remote

Reno, NV · Remote

$90 - $120/hr

Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer subject ...

City of Las Vegas

NV

$60K - $79K/yr

This includes program design and implementation, data analytics, outcomes tracking, program ... Distinguishing Characteristics This is the entry level class in the Management Analyst series. This ...

MRoads

Sales Productivity Analyst

Reno, NV · On-site

Need someone who understands how to simplify a front-line AM's work thru process and data and can gain their trust to implement. This is an entry-level operations analyst role , working to help ...

MRoads

Sales Productivity Analyst

Reno, NV · On-site

Need someone who understands how to simplify a front-line AM's work thru process and data and can gain their trust to implement. This is an entry-level operations analyst role , working to help ...

City of Las Vegas

NV · On-site

$71K - $92K/yr

Ideal Candidate The ideal candidate for the Financial Analyst role in Financial Data Management and ... Financial Analyst I This is the entry-level class within the Financial Analyst series. This class ...

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Entry Level Clinical Data Analyst information

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How much do entry level clinical data analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level clinical data analyst in Nevada is $37.02, according to ZipRecruiter salary data. Most workers in this role earn between $29.86 and $42.84 per hour, depending on experience, location, and employer.

What is an entry level clinical data analyst?

An Entry Level Clinical Data Analyst is responsible for collecting, cleaning, and analyzing clinical data to support healthcare research and decision-making. They work with databases, statistical tools, and reporting software to ensure data accuracy and integrity. Their role often includes identifying trends, generating reports, and assisting in regulatory compliance. This position requires analytical skills, attention to detail, and knowledge of clinical terminology and data management systems. It is a great starting point for individuals interested in healthcare analytics and clinical research.

What are the typical daily responsibilities of an entry level clinical data analyst?

As an Entry Level Clinical Data Analyst, your daily responsibilities typically include reviewing and cleaning clinical trial data, performing data entry or validation tasks, generating standard reports, and assisting with database testing and documentation. You may work closely with senior data analysts, clinical research coordinators, and project managers to ensure data accuracy and compliance with regulatory standards. Collaboration and communication are key, as you’ll often participate in team meetings to discuss data queries or project updates. This hands-on experience helps build a strong foundation for future growth in the clinical data management field.

What are the key skills and qualifications needed to thrive as an entry level clinical data analyst?

Entry Level Clinical Data Analysts need foundational knowledge in statistics, data management, and healthcare terminology, usually supported by a degree in a related field such as life sciences, health informatics, or mathematics. Familiarity with data analysis software like Microsoft Excel, SAS, or SQL, and exposure to clinical trial management systems or electronic data capture (EDC) platforms are beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills help individuals excel in this role. These competencies are crucial for ensuring accurate and reliable data collection, analysis, and reporting that directly support clinical research outcomes.

Can I become an entry level clinical data analyst with no experience?

Entry level clinical data analysts typically need a bachelor's degree in a related field such as health informatics, biology, or statistics. While prior experience is not always required, familiarity with data management tools like Excel or SQL and understanding of clinical research processes can improve job prospects. Entry-level roles often provide on-the-job training for specific software and procedures.

What do you need to be an entry level clinical data analyst?

To become an entry-level clinical data analyst, candidates typically need a bachelor's degree in health informatics, biology, statistics, or a related field. Skills in data management, proficiency with tools like Excel and SQL, and understanding of clinical trial processes are important. Some positions may also require familiarity with electronic data capture systems and basic knowledge of regulatory standards such as HIPAA.

What are the most commonly searched types of Clinical Data Analyst jobs in Nevada?

The most popular types of Clinical Data Analyst jobs in Nevada are:

What are popular job titles related to Entry Level Clinical Data Analyst jobs in Nevada?

For Entry Level Clinical Data Analyst jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Entry Level Clinical Data Analyst jobs in Nevada look for?

The top searched job categories for Entry Level Clinical Data Analyst jobs in Nevada are:

Entry Level Clinical Data Analyst jobs near you
Infographic showing various Entry Level Clinical Data Analyst job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,009 per year, or $37 per hour.

AI Training Specialist - Life Sciences

micro1 AI

North Las Vegas, NV • Remote

$90 - $120/hr

Part-time

Posted 22 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.

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