1

Data Capture Jobs in Pennsylvania (NOW HIRING)

Be Seen First

Successfully complete required biometric and data capture processes and paperwork on each applicant * Adhere to all company and departmental employment policies * Perform administrative duties such ...

Showing results 21-40

Data Capture information

See Pennsylvania salary details

$5

$27

$57

How much do data capture jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data capture in Pennsylvania is $27.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $43.12 per hour, depending on experience, location, and employer.

What are some typical challenges faced by data capture professionals, and how are they addressed?

Data Capture professionals often encounter challenges such as handling large volumes of information, maintaining accuracy under tight deadlines, and adapting to frequent updates in data formats or software systems. To address these challenges, companies provide thorough training, maintain clear data entry protocols, and sometimes implement automated quality checks to help ensure data integrity. Collaboration with IT and data management teams is common, allowing Data Capture specialists to resolve any technical issues quickly. By staying organized, communicating effectively, and using available tools, professionals in this role can consistently meet performance expectations and maintain high data quality.

Is data capturing a difficult job?

Data capturing is generally considered a straightforward job that requires attention to detail, accuracy, and familiarity with data entry tools or software. The difficulty level depends on the complexity of the data and the volume to be processed, but it typically involves repetitive tasks that can be learned with training. Strong organizational skills and focus are important for success in this role.

What is a data capture?

A Data Capture job involves collecting, inputting, and managing data from various sources into digital systems. This role ensures accuracy, completeness, and organization of data for business use. Responsibilities may include data entry, verification, and quality control. Data Capture professionals work with databases, spreadsheets, or specialized software to maintain records efficiently. Attention to detail and strong typing skills are essential for success in this role.

What are the key skills and qualifications needed to thrive in data capture, and why are they important?

To thrive as a Data Capture professional, you need strong attention to detail, fast and accurate data entry skills, and a high school diploma or equivalent educational background. Familiarity with data management software such as Microsoft Excel, Google Sheets, or specialized database platforms is often required, and some employers may prefer experience with document scanning tools or OCR technology. Reliability, organization, and the ability to maintain confidentiality are standout soft skills in this position. These capabilities ensure the integrity and accuracy of collected data, which supports informed business decisions and operational efficiency.

Infographic showing various Data Capture job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $56,245 per year, or $27 per hour.

Principal Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)

Johnson & Johnson

Malvern, PA • On-site

Full-time

Retirement, PTO

Posted 3 days ago

New


Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Madrid, Spain, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)

The primary location for this position is open toSpring House, PA; Malvern, PA; Madrid, Spain

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

POSITION SUMMARY

The R&D Data, Data Science and AI organization is seeking a Data Scientist - Data Engineer to design, build, and optimize data capture, processing, and storage solutions that enable advanced analytics, digital process transformation, and AI/ML applications across the developmenttosupply continuum for Therapeutics Development & Supply (TDS).

You will be a handson technical contributor working across Process Development, Manufacturing, Supply Chain, Quality, and Digital/Data Science teams to deliver highquality, AIready data pipelines and data products. This role involves creating robust, futureproof data systems, engineering workflows, and highvalue data repositories that support scientific, technical, and operational decisionmaking.

KEY RESPONSIBILITIES

Data Engineering & Pipeline Development

  • Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing TDS data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).
  • Create and optimize data flows for structured and unstructured data using Python, R, SQL, DBT, cloud services, and other modern engineering tools.
  • Develop and maintain TDSspecific data repositories, implementing enterpriselevel data models and creating new models as needed.
  • Enable AI/ML readiness by ensuring data is wellstructured, versioned, traceable, and semantically aligned with enterprise data standards.

Data Product & Architecture Partnership

  • Partner with data scientists, TDS domain experts, and digital technology teams to translate business needs into highquality data products and engineering requirements.
  • Work closely with ontology/knowledge graph teams to implement semantic models and futureproof data architectures.

Quality, Compliance & Performance

  • Implement data quality and performance standards; define KPIs to measure accuracy, completeness, and consistency across TDS data assets.
  • Apply data versioning and lineage tracking for compliance, traceability, and audit readiness.
  • Follow software development best practices including code versioning, DevOps integration, and documentation.

CrossFunctional Collaboration

  • Engage with scientific, technical, and operations stakeholders to understand requirements, design data solutions, and drive adoption.
  • Support multiple concurrent projects, managing priorities and delivering maximum business value across the TDS network.

QUALIFICATIONS

Required

  • Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.
  • 3+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.
  • Proficiency with Python, R, SQL, and cloud-based architectures (e.g., AWS services, Snowflake, Redshift).
  • Experience with NoSQL and graph databases.
  • Strong analytical, problemsolving, and stakeholdermanagement skills, with the ability to translate discussions into actionable requirements.
  • Ability to drive multiple exciting projects simultaneous with strong organizational skills and adaptability.

Preferred

  • Experience with regulated or standardsdriven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.
  • Familiarity with highdimensional data (e.g., imaging, sensor data, etc).
  • Experience with principles connecting to or feeding MLOps and model deployment workflows.
  • Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.
  • Experience with knowledge graph architectures.

Why This Role Is Unique

This is a rare opportunity to grow in one of the world's most ambitious and fast growing R&D Data Science organizations, shaping how Therapeutics Development & Supply data powers nextgeneration therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson's scientific discovery, fuel AI innovation, and impact patients globally.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

#JRDDS

#JNJDataScience

JNJIMRND-DS

Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

What Johnson & Johnson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom