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Internship Data Mapping Jobs (NOW HIRING)

... Internship. You will have the opportunity to learn and contribute to a company and team that is ... mapping and export creation. Assist in QC reviews. Assist with data cleaning tasks (query ...

... Internship. You will have the opportunity to learn and contribute to a company and team that is ... data mapping and export creation. • Assist in QC reviews. • Assist with data cleaning tasks ...

... IT/data teams to map raw material usage to manufacturing campaigns and produce actionable ... or interns on data review, documentation standards, and investigation best practices.

Create and maintain standardized data mapping templates * Support documentation and optimization of ... Previous internship or project experience in IT / business analysis What we offer: ​ * Paid ...

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... map raw material usage to manufacturing campaigns and produce actionable visualizations ... Mentor and guide junior staff, contractors, or interns on data review, documentation standards, and ...

Participates in environmental audits and prepare data summaries, data tables, data mapping and ... Previous Internship or construction experience is preferred * Ability to review and understand ...

Basic understanding of data mapping, file formats (XML, CSV, flat files), and system integrations ... Internship, academic project, or professional experience involving EDI, data integrations, ERP ...

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Internship Data Mapping information

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How much do internship data mapping jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship data mapping in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What type of internship can I get for data analyst?

Internships for data analysts typically include roles such as data analysis intern, business intelligence intern, or data science intern. These internships often require skills in Excel, SQL, or Python and may involve working with data visualization tools like Tableau or Power BI. They are usually offered by companies in technology, finance, healthcare, and consulting sectors and can be full-time or part-time during the summer or academic year.

What are data mapping jobs?

Data mapping jobs involve creating connections between different data sources and formats to ensure accurate data integration and transfer. These roles typically require knowledge of databases, data structures, and tools like Excel or specialized mapping software, and often involve analyzing data flow and maintaining data quality.

Is GIS a high demand job?

GIS (Geographic Information Systems) jobs, including roles like GIS analysts and data mappers, are in high demand due to the increasing use of spatial data across industries such as urban planning, environmental management, and logistics. Skills in GIS software like ArcGIS or QGIS, along with data analysis and mapping expertise, are highly valued in the job market.

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

AspectInternship Data MappingData Analyst
Required CredentialsTypically pursuing or recent graduate, basic technical skillsBachelor's degree in related field, some certifications preferred
Work EnvironmentInternship setting, supervised, entry-level tasksFull-time, collaborative, analytical projects
Employer & Industry UsageInternship programs in tech, finance, healthcareVarious industries, corporate and consulting firms
Search & Comparison IntentUnderstanding entry-level roles, internshipsCareer advancement, skill development

Internship Data Mapping is an entry-level position focused on assisting with data organization and basic mapping tasks during a temporary internship. In contrast, a Data Analyst is a full-time professional responsible for analyzing data, generating reports, and providing insights. While both roles involve working with data, internships are designed for learning and skill development, whereas Data Analysts perform more complex, ongoing analysis in a professional setting.

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is helpful, entry-level positions often consider candidates with relevant coursework, certifications, or strong analytical skills, making it possible to start without professional experience.
More about Internship Data Mapping jobs
What cities are hiring for Internship Data Mapping jobs? Cities with the most Internship Data Mapping job openings:
What are the most commonly searched types of Data Mapping jobs? The most popular types of Data Mapping jobs are:
What states have the most Internship Data Mapping jobs? States with the most job openings for Internship Data Mapping jobs include:
Infographic showing various Internship Data Mapping job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Scientist / Pharma Manufacturing / Remote Work

Pioneer Data

Titusville, NJ • On-site

Contractor

Re-posted 12 days ago


Job description

Position Details:
Our client, a world-leading Pharmaceutical Company in Titusville, NJ is currently looking for a Data Scientist to join their expanding team.  
 
Job Title: Data Scientist / Pharma Manufacturing / Remote Work
Duration: 12 months contract, extendable up to 24 Months
Client Location: Titusville, NJ
 
Note:
The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract.
You may participate in the company group medical insurance plan  
 
Job Description:
Position summary - Senior Scientist
 
Notes:
Role can be HYBRID or REMOTE, but must be in EST time zone, prefers the candidate lives in NJ or PA
Masters degree is required
Required experience with Python and SQL - REQUIRED
Must have MSAT or Manufacturing background
Will work on a major project, will help setup connections, and explore data analysis
Will research specific materials
Must be a critical thinker
Must be eager to learn
MUST HAVE PROGRAMMING AND CODING EXPERIENCE
Will help with coming up with unique ways to solve problems or obstacles
Must have hands on coding experience (versus using AI solutions)
 
Description:
MSAT Material Science is seeking a scientist to drive raw material quality and traceability initiatives that support regulatory compliance and dependable manufacturing outputs. 
This candidate will provide technical support to the MSAT Material Science team on a variety of deliverables critical to successful technical materials deliverables. 
This role will support a range of activities including investigations, specification development, material qualification, change control and technology transfer support, analytical method evaluation and data driven traceability efforts. 
The role will collaborate closely with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams to improve raw material traceability, resolve material issues, and produce regulatory quality documentation.
Key responsibilities
Support the MSAT Material Science team on material related investigations and deviation analyses: gather and analyze manufacturing and analytical data, contribute to technical assessments, and help implement solutions as applicable.
Assist MSAT Material Science in developing and revising raw material specifications: draft language, define acceptance criteria, compile technical justification, compendial review and coordinate SME deliverables.
Support material qualification and requalification activities on behalf of the MSAT Material Science team: prepare qualification plans/protocols, coordinate testing with internal or external labs/vendors, analyze returned data, and draft qualification reports.
Provide technical input for change controls: prepare technical assessments, perform impact and risk evaluations, coordinate verification/validation activities, and compile evidence for closure.
Support technology transfer activities: prepare transfer documentation, align material requirements between development and manufacturing, and coordinate post transfer monitoring and follow up.
Contribute to material traceability and data mapping initiatives: work with Process, Planning, and IT/data teams to map raw material usage to manufacturing campaigns and produce actionable visualizations.
Interface with Supplier Quality and Procurement to support vendor qualification, incoming material review, sample evaluations, and supplier investigations.
Prepare and maintain regulatory grade documentation on behalf of MSAT Material Science: investigation summaries, specifications, test method rationales, SOPs, qualification packages, and technical reports.
Support audits and inspections by preparing evidence, supporting response to technical queries, and assisting in closure of material related findings under Quality oversight.
Communicate findings and recommendations to the MSAT Material Science team, cross functional partners, and leadership; present at technical meetings as required.
Mentor and guide junior staff, contractors, or interns on data review, documentation standards, and investigation best practices.
Qualifications
Advanced degree in Materials Science, Chemical Engineering, Chemistry, Polymer Science, or closely related discipline preferred; Master's with 3-5+ years experience. PhD with 0-3+ years experience.
Experience coordinating testing with external/internal analytical labs and interpreting lab reports.
Knowledge of GMP principles, validation strategies, and risk assessment methodologies (e.g., FMEA).
Familiarity with supplier qualification practices and vendor communications.
Demonstrated experience supporting material investigations, specification setting, qualification oversight, change control, and tech transfer in a regulated manufacturing environment (pharma, biotech, medical device, or related) preferred.
Strong data analysis skills and ability to synthesize manufacturing and analytical datasets to support root cause and risk assessments.
Proven technical writing skills for regulatory grade reports, specifications, and protocols.
Experience collaborating with Process, Planning, Manufacturing, Quality, Supply Chain/Procurement, Supplier Quality, and IT/data teams.
Familiarity with electronic quality systems (eQMS, LIMS), manufacturing systems (MES), SAP and common data tools (Excel, Python/R, JMP, or similar).
Prior industry experience in MSAT or material science support roles within regulated manufacturing preferred.