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Internship Pharma Data Analyst Jobs in Remote, OR

Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ... Experience with Pharma claims. * Billing/coding experience.

You will provide analytical data to management, including sales forecasting, business planning ... Your working environment at Korber Join Korber Pharma and you will work in an innovative, friendly ...

Internship Pharma Data Analyst information

See Remote, OR salary details

$34K

$82.6K

$135.9K

How much do internship pharma data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for internship pharma data analyst in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

What does an internship Pharma Data Analyst do?

An Internship Pharma Data Analyst supports pharmaceutical companies by collecting, organizing, and analyzing healthcare and drug-related data. Their work helps teams make informed decisions about drug development, clinical trials, and market trends. Interns often use statistical software and databases to interpret data, create reports, and visualize findings. Under supervision, they may also assist with data cleaning and ensure the accuracy of research results.

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

To thrive as an Internship Pharma Data Analyst, you need a solid foundation in statistical analysis, data interpretation, and a background in life sciences, pharmacy, or a related field. Familiarity with data analysis tools such as Excel, SQL, R, or Python and experience with clinical trial databases are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These skills are crucial for accurately analyzing pharmaceutical data, supporting research decisions, and ensuring clear reporting to stakeholders.

What are some common challenges faced by internship Pharma Data Analysts, and how can they be addressed?

Pharma Data Analyst interns often encounter challenges such as learning to handle large, complex datasets and understanding industry-specific regulations like HIPAA. Adapting to specialized software and statistical tools can also be a hurdle. These challenges can be addressed by proactively seeking mentorship from experienced analysts, participating in training sessions provided by the company, and dedicating time to learn about data privacy standards. Collaborating with team members and asking questions will help interns quickly become comfortable with both the technical and regulatory aspects of the role.

What is the difference between Internship Pharma Data Analyst vs Pharma Data Analyst?

AspectInternship Pharma Data AnalystPharma Data Analyst
QualificationsEnrolled in or recent graduate of relevant degree (e.g., life sciences, data analysis)Bachelor's or higher in related field, with some experience
Work EnvironmentInternship program, entry-level, training-focusedFull-time professional role, project-driven
Industry UsageTypically part of training or educational programRegular employment in pharmaceutical companies or healthcare organizations
Search & Comparison IntentUnderstanding entry-level opportunities and learning rolesSeeking experienced roles with more responsibilities

The main difference between an Internship Pharma Data Analyst and a Pharma Data Analyst is experience level and employment status. Internships are training-focused, entry-level positions for students or recent graduates, while Pharma Data Analysts are full-time professionals with more experience handling data projects in the pharmaceutical industry.

Infographic showing various Internship Pharma Data Analyst job openings in Remote, OR as of September 2026, with employment types broken down into 23% Internship, 31% Full Time, 15% Part Time, and 31% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $82,559 per year, or $39.7 per hour.

Bluespine-Sr. FWA Analyst

Team8

OR • On-site, Remote

Full-time

Re-posted 19 days ago


Job description

Description
Bluespine is an innovative new startup in the health-IT domain. By employing cutting-edge technologies, Bluespine is developing an engine that detects errors in medical billing, which causes billions of dollars in losses across the entire industry. Bluespine can offer personalized precision by tailoring assessments to each unique medical claim, considering the relevant provider, payer, and plan, and ensuring unparalleled accuracy.
We are looking for a Sr. FWA Analyst experienced in discovering medical billing errors and fraudulent billing patterns of medical claims for commercial payers.
Responsibilities
  • Proactively identify potential instances of fraud, waste, and abuse through data analysis using company systems and tools
  • Support engineering and data science teams with audit and FWA concepts, data mapping, and defining data requirements
  • Determine the likelihood of cases being true error/fraud, based on real-life experience.
  • Validate and help to tune anomaly detection algorithms.

Requirements
  • Hands-on experience exploring and investigating potential medical billing errors/fraud using analytic and SQL/graph-based tools.
  • Extensive knowledge of medical terminology, medical records, health information management, medical coding, DRG methodologies, CPT/HCPCS coding guidelines, physician specialty guidelines, reimbursement programs, claims adjudication processes, member contract benefits, regulatory agency policies (CMS/HCFA, DOI, state regulations), and provider billing systems and practices.
  • Strong analytical skills and ability to approach tasks in a scientific manner.
  • Background in SIU or Payment Integrity.
  • Independent, Organized, and with excellent communication skills.

Advantages
  • Medical/clinical background.
  • Experience with Pharma claims.
  • Billing/coding experience.