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Internship Biotech Data Analyst Jobs in Forney, TX

Alignerr

Biotech Health Data Governance Lead

Dallas, TX · Remote

Biotech Health Data Governance Lead (AI Training) About the Role What if your expertise in biotech ... Enable secure, governed data access for analytics, innovation, and external collaborations - while ...

Loopback Analytics

RWD Data Analyst Intern

Dallas, TX · On-site

This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ... Data Analysis & Solution Development * Analyze Loopbacks large-scale healthcare data warehouse ...

Scout Energy Partners

Data Analyst I

Dallas, TX · On-site

Prior internship or work experience in a data analysis or business intelligence role. * Knowledge of business operations and key performance indicators relevant to the industry. Responsibilities:

Scout Energy Management

Data Analyst I

Dallas, TX · On-site

Prior internship or work experience in a data analysis or business intelligence role. * Knowledge of business operations and key performance indicators relevant to the industry. Responsibilities:

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site

$25 - $35/hr

This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ... Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ...

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site +1

This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ... Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ...

Loopback Health

RWD Data Analyst Intern

Dallas, TX · On-site +1

Rwd Data Analyst Intern This employer will not sponsor applicants for employment visa status (e.g ... This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ...

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site +1

This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ... Data Analysis & Solution Development * Analyze Loopback's large-scale healthcare data warehouse ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

The data science analyst will also analyze and manipulate large-scale data sets from a multitude of ... Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ...

Command Alkon

Senior Data Analyst Batch AI

Dallas, TX · On-site

$85.40K - $107.80K/yr

Senior Data Analyst Batch AI Job Category: Product Management Requisition Number: SENIO001999 ... work, projects, internships, or professional roles. -Familiarity with SQL is helpful, but not ...

Accenture

Data Protection Sr. Analyst

Dallas, TX · Hybrid

$84.80K - $100.70K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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How much do internship biotech data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship biotech data analyst in Forney, TX is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $22.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Biotech Data Analyst, and why are they important?

To thrive as an Internship Biotech Data Analyst, you need a foundation in biology or biotechnology, statistical analysis, and data interpretation, typically gained through coursework or relevant internships. Familiarity with data analysis tools such as Python, R, Excel, and experience with bioinformatics databases or platforms like BLAST is highly beneficial. Strong attention to detail, problem-solving abilities, and effective communication skills make candidates stand out in this role. These competencies are crucial for accurately analyzing complex biological data, supporting research projects, and conveying findings to multidisciplinary teams.

What types of projects or data sets might I work with as an Internship Biotech Data Analyst?

As an Internship Biotech Data Analyst, you can expect to work with real-world biological or clinical data, such as genomic sequences, protein structures, or patient trial results. Projects often involve cleaning, analyzing, and visualizing these datasets to support research or product development. You'll likely collaborate closely with scientists, senior analysts, and sometimes software engineers to interpret findings and present actionable insights. This hands-on experience not only strengthens your technical skills but also helps you understand how data analysis drives innovation in the biotech industry.

What does an Internship Biotech Data Analyst do?

An Internship Biotech Data Analyst supports research and development teams in biotechnology companies by collecting, processing, and analyzing complex biological data. They use statistical tools and software to interpret experimental results, identify trends, and help drive decision-making in projects such as drug discovery, genomics, or clinical trials. Interns often work alongside experienced data analysts and scientists, gaining hands-on experience with real-world datasets and contributing to ongoing research efforts.

What is the difference between Internship Biotech Data Analyst vs Biotech Data Scientist?

AspectInternship Biotech Data AnalystBiotech Data Scientist
Required CredentialsEnrolled in or recent graduate of related degree (e.g., biology, bioinformatics, data analysis)Advanced degree (Master's or PhD) in data science, bioinformatics, or related fields
Work EnvironmentInternship setting in biotech or pharmaceutical companies, labs, or research institutionsFull-time role in biotech firms, research centers, or biotech startups
Employer & Industry UsageUsed for entry-level training, skill development, and gaining industry experienceUsed for advanced data analysis, modeling, and research projects

The Internship Biotech Data Analyst is an entry-level position focused on gaining practical experience in biotech data analysis, often requiring relevant coursework or a recent degree. In contrast, a Biotech Data Scientist typically holds advanced degrees and performs complex data modeling and research tasks. The internship provides foundational skills, while the data scientist role involves more specialized expertise and responsibilities.

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Biotech Health Data Governance Lead

Alignerr

Dallas, TX • Remote

Other

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

Job description

Biotech Health Data Governance Lead (AI Training)
About the Role
What if your expertise in biotech data governance could directly shape how AI understands and operates within one of the world's most consequential industries? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory filings, and advanced AI-driven analytics.
This is a fully remote, flexible contract role built for experienced professionals who know what it takes to govern sensitive data in regulated life sciences environments.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Govern biotech research and clinical trial data to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions
  • Define and enforce data policies covering classification, access controls, security, and metadata standards across research, clinical, regulatory, and partner teams
  • Enable secure, governed data access for analytics, innovation, and external collaborations - while rigorously protecting confidential and patient-related information
  • Identify gaps in existing data governance frameworks and lead initiatives to close them
  • Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and workflows
Who You Are
  • Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
  • Deep understanding of data privacy, security, compliance, and regulatory expectations as they apply to research and clinical trial data
  • Skilled at working across scientific, IT, compliance, and business teams to drive alignment on data standards and processes
  • Detail-oriented, systematic, and comfortable operating in complex, high-stakes data environments
  • Self-directed and reliable when working independently in a remote, asynchronous setting
Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI training data systems
  • Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6 GCP, or GDPR as applied to clinical and research data
  • Background in bioinformatics, clinical data management, or research informatics
  • Experience working with or evaluating AI-generated outputs in a scientific or regulated context
Why Join Us
  • Work at the intersection of life sciences and cutting-edge AI with leading research organizations
  • Fully remote and flexible - structure your work around your life, not the other way around
  • Freelance autonomy with the substance of meaningful, high-impact work
  • Direct contribution to AI initiatives that are advancing how science is conducted and how discoveries are made
  • Potential for ongoing work and contract extension as new projects launch

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