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Associate Clinical Data Analyst Jobs in Baton Rouge, LA

Clinical Nurse Liaison

Baton Rouge, LA · On-site

$62K - $84K/yr

... data-driven analysis and metrics used to measure effectiveness and ROI of all current and new products Act as the clinical representative in various meetings Collaborate with staff to identify ...

Clinical Nurse Liaison

Baton Rouge, LA · On-site

$62K - $84K/yr

... data-driven analysis and metrics used to measure effectiveness and ROI of all current and new products Act as the clinical representative in various meetings Collaborate with staff to identify ...

Showing results 21-40

Associate Clinical Data Analyst information

See Baton Rouge, LA salary details

$16

$34

$58

How much do associate clinical data analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for associate clinical data analyst in Baton Rouge, LA is $34.91, according to ZipRecruiter salary data. Most workers in this role earn between $28.17 and $40.38 per hour, depending on experience, location, and employer.

What does an associate clinical data analyst do?

An Associate Clinical Data Analyst is responsible for collecting, managing, and analyzing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. They typically work closely with clinical research teams to support data entry, data cleaning, and the preparation of reports. Their work is essential in helping organizations make informed decisions about the safety and efficacy of medical treatments, devices, or drugs. This entry-level role often serves as a foundation for more advanced positions in clinical data management or biostatistics.

What are some common challenges faced by associate clinical data analysts when working with clinical trial data?

Associate Clinical Data Analysts often encounter challenges such as managing large volumes of complex clinical trial data, ensuring data accuracy and consistency, and adhering to strict regulatory standards. They may also need to resolve discrepancies found during data cleaning and work collaboratively with clinical research teams to clarify ambiguous data points. Staying organized and maintaining clear communication with colleagues are key to overcoming these challenges and ensuring high-quality data for analysis.

What are the key skills and qualifications needed to thrive as an associate clinical data analyst, and why are they important?

To thrive as an Associate Clinical Data Analyst, you need a solid background in life sciences, statistics, or a related field, often supported by a bachelor’s degree. Familiarity with data management systems like EDC (Electronic Data Capture), statistical software such as SAS or R, and regulatory standards is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, regulatory compliance, and the successful execution of clinical research studies.
What are the most commonly searched types of Clinical Data Analyst jobs in Baton Rouge, LA? The most popular types of Clinical Data Analyst jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Associate Clinical Data Analyst jobs? Cities near Baton Rouge, LA with the most Associate Clinical Data Analyst job openings:
Infographic showing various Associate Clinical Data Analyst job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,618 per year, or $34.9 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Baton Rouge, LA • Remote

$90 - $120/hr

Part-time

Posted 12 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.