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Data Visualization Engineer Jobs in Philadelphia, PA

OCUGEN OPCO INC

Clinical Data Scientist

Malvern, PA · On-site

Success in this role requires strong programming and data visualization skills, along with the ability to translate complex clinical data into clear, actionable insights for both internal and ...

SEI

Data and Analytics Consultant

Philadelphia, PA

Data Visualization The ideal candidate's experience may include but is not limited to the following ... Must have experience in architecting and implementing data architecture, data engineering ...

Compunnel

Business Data Analyst

Blue Bell, PA · On-site

... visualization, and the ability to work effectively across technical and business teams. Key ... data engineers, developers, and business stakeholders to ensure data solutions align with ...

ResolveSoft Inc

Data Analyst

Philadelphia, PA · On-site

$65K - $85K/yr

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Philadelphia, PA

Data Visualization Engineer information

See Philadelphia, PA salary details

$42.5K

$124K

$169.6K

How much do data visualization engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data visualization engineer in Philadelphia, PA is $123,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by data visualization engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

What are the key skills and qualifications needed to thrive as a data visualization engineer, and why are they important?

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are the most commonly searched types of Data Visualization Engineer jobs in Philadelphia, PA?

The most popular types of Data Visualization Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Data Visualization Engineer jobs in Philadelphia, PA?

For Data Visualization Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Visualization Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Data Visualization Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Visualization Engineer jobs?

Cities near Philadelphia, PA with the most Data Visualization Engineer job openings:

Data Visualization Engineer jobs near you
Infographic showing various Data Visualization Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,973 per year, or $59.6 per hour.

Clinical Data Scientist

OCUGEN OPCO INC

Malvern, PA • On-site

Full-time

Posted 16 days ago

Job description

Position Summary

The Clinical Data Scientist will support clinical development programs through data-driven insights, analysis, and high-impact visual communication. This role is responsible for parsing and interpreting clinical trial data, generating figures and presentations, and supporting data review activities to inform study execution and development strategy.

The individual will work closely with Biostatistics, Data Management, and Clinical Operations to ensure data quality, consistency, and usability. Success in this role requires strong programming and data visualization skills, along with the ability to translate complex clinical data into clear, actionable insights for both internal and external stakeholders.

Responsibilities

  • Parse, review, and structure clinical trial data to support study interpretation, decision-making, and leadership updates.
  • Develop high-quality graphs, tables, and figures using programming and analytics tools for analysis and presentation purposes.
  • Act as a liaison between Biostatistics/Stat Programming, Data Management and Clinical Operations. Experience working with EDC data, Lab imaging data and external vendor data. 
  • Collaborate with Biostatistics, Data Management, and Clinical Operations to support data cleaning, reconciliation, and study tracking.
  • Perform ongoing data review to assess safety, efficacy, and operational metrics.
  • Create clear, visually compelling slide decks and materials for senior leadership, study teams, investigators, and governance forums.
  • Contribute to clinical study documentation, including protocols, statistical analysis plan (SAP) support materials, clinical study reports (CSRs), and interim analyses.
  • Interpret emerging study data and communicate findings in a concise, structured, and clinically relevant manner.
  • Maintain proficiency in programming, reporting, and visualization tools to support evolving data needs.
  • Identify trends, anomalies, and data quality issues, and proactively escalate findings to relevant stakeholders.
  • Advanced degree preferred in life sciences, quantitative sciences, or a related field.
  • Minimum of 5 years of experience in clinical development, clinical data analysis, programming, DSMB or DMC support or related analytics roles.
  • Proficiency in programming languages such as SAS, R, Python, SQL, or similar tools.
  • Demonstrated ability to generate high-quality visualizations, tables, and presentations from clinical datasets.
  • Experience with Data Visualization tools (R-Shiny, Power BI, Tableau or AI based tools) is a plus
  • Working knowledge of clinical trial design, operations, GCP, and clinical data structures.
  • Strong analytical thinking, attention to detail, and communication skills, with the ability to convey complex data clearly.
  • Expertise in Neuroscience and Ophthalmology is a plus.

Working Conditions

This position operates in an office setting, in person. Job may additionally require incumbent to be available outside of these hours to handle priority business needs.

Ocugen is an equal opportunity employer. In order to provide equal employment and advancement opportunities to all individuals, we make all of our employment decisions based upon merit, qualifications, abilities, and an individual's conduct and performance. We will not make any of our decisions, and will not discriminate against any employee or applicant, on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including sexual orientation, gender identity and status as a transgender or transsexual individual), age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected from discrimination under the law. Ocugen complies with applicable federal, state and local laws governing nondiscrimination in employment.

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