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Internship Pharma Data Analyst Jobs (NOW HIRING)

... Analyst to work on data standards and migration. The role involves translating business ... Required : • Pharma Domain Mandatory • Experience with CDISC, BRIDG, HL7 and other related ...

Hands‑on experience turning raw data into analysis used in live mandates. * Exposure to deal processes and financial modelling workflows. * Skill growth with Excel, data wrangling and visualisation ...

$46K - $111K/yr

Perform gap analysis for requirements, data models, and interfaces * Assist in rollout, adoption, and post-implementation support * Provide consulting services in the pharma/life sciences domain

New

Data Analyst

$60K - $70K/yr

Working alongside senior analysts and the delivery team, you will pull data together, check its ... NICE TO HAVE - Internship or project experience with data cleansing, reporting, or dashboards ...

Data Analyst

Almont, CO · On-site

$55 - $65/hr

Description: Remote Our client seeks a Data Analyst with strong backend data engineering ... Experience in CRO, pharma, biotech, or medical device environments is beneficial. Education ...

Internship or academic project experience in data analysis or business intelligence. * Experience creating dashboards and executive reports. * Knowledge of KPIs, business metrics, and reporting ...

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Internship Pharma Data Analyst information

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$34K

$82.6K

$136K

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

As of Sep 3, 2026, the average yearly pay for internship pharma data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

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What are the most commonly searched types of Pharma Data Analyst jobs?

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States with the most job openings for Internship Pharma Data Analyst jobs include:

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The top searched job categories for Internship Pharma Data Analyst jobs are:

Infographic showing various Internship Pharma Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Business Data Analyst

Keylent Inc

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago


Key responsibilities

  • Translate business requirements, process documentation, system/report specifications, integrated data flows, and data models into data definitions, metadata specifications, and data policies.

  • Work with stakeholders to define data standards, manage data standards, and facilitate communication between technical and non-technical teams.

  • Participate in the development, deployment, and documentation of data management solutions, including system configuration, user requirements, and process flow diagrams.


Job description

Job Summary:
Keylent Inc is a company focused on data management solutions, and they are seeking a Business Data Analyst to work on data standards and migration. The role involves translating business requirements into data definitions, managing data standards, and facilitating communication between technical and non-technical stakeholders.
Responsibilities:
• Translating business requirements, process documentation, system/report specifications, integrated data flows and data models into proposed data definitions, metadata specifications, and data variant/dimensional policies creating fit for purpose standards appropriately aligned with industry standards, compliance requirements and internal Data Governance policies and procedures.
• Working with sponsors, standards core and governance teams to define stakeholders, propose data standards and adjudicates feedback from stakeholders Previous experience in managing data and developing data standards.
• Experience with CDISC, BRIDG, HL7 and other related pharma development data standards Data modelling. Understands the concepts and principles of data modelling and is able to produce relevant data models across multiple subject areas. Understands industry recognized data modelling patterns and standards and when to apply them. Experience in data modeling / architecture principles and techniques.
• Data Management. Awareness of the key aspects of managing data through its lifecycle, including understanding of data ownership, data quality and associated data governance principles.
• Communicating between the technical and the non-technical. Able to listen to the needs of technical and business stakeholders and interpret between them. Regularly manages stakeholders' expectations, providing proactive and reactive communication. Brings strong written and verbal communication and interpersonal skills.
• Analyze business scenarios that may potentially be solved by implementation of automated systems and/or modifications to business processes. Provide expertise in identification, evaluation, design, development, and deployment of systems and/or processes.
• Play a key role – as part of a project team or M&E – in delivery of solutions that are cost effective, sustainable, and meet business requirements.
• Accountable for documentation, which may include, but is not limited to:
• User Requirements
• Functional and/or technical specifications
• Process flow diagrams
• Training documentation and/or work instructions
• Depending on the application and/or function, may configure system settings and/or options
• Provide consultation to customers regarding enhancement/improvement of current solutions and implementation of new solutions – both systems and processes
• Facilitate and/or support customers in UAT planning and execution
• Participate in and advise roadmap discussions; key member of vendor assessment teams
• Drive resolution of business or systems issues
Qualifications:
Required:
• Pharma Domain Mandatory
• Experience with CDISC, BRIDG, HL7 and other related pharma development data standards Data modelling
• Understands the concepts and principles of data modelling and is able to produce relevant data models across multiple subject areas
• Understands industry recognized data modelling patterns and standards and when to apply them
• Experience in data modeling / architecture principles and techniques
• Awareness of the key aspects of managing data through its lifecycle, including understanding of data ownership, data quality and associated data governance principles
• Able to listen to the needs of technical and business stakeholders and interpret between them
• Regularly manages stakeholders' expectations, providing proactive and reactive communication
• Brings strong written and verbal communication and interpersonal skills
• Analyze business scenarios that may potentially be solved by implementation of automated systems and/or modifications to business processes
• Provide expertise in identification, evaluation, design, development, and deployment of systems and/or processes
• Accountable for documentation, which may include, but is not limited to: User Requirements, Functional and/or technical specifications, Process flow diagrams, Training documentation and/or work instructions
• Depending on the application and/or function, may configure system settings and/or options
• Provide consultation to customers regarding enhancement/improvement of current solutions and implementation of new solutions – both systems and processes
• Facilitate and/or support customers in UAT planning and execution
• Participate in and advise roadmap discussions; key member of vendor assessment teams
• Drive resolution of business or systems issues
Company:
Keylent provides Software Development Services in the Cloud, Analytics and Digital Transformation space. Founded in 2010, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Keylent logo

About Keylent

Sourced by ZipRecruiter

Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2010

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