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Visualization Postdoctoral Researcher Jobs (NOW HIRING)

Umd

Postdoctoral Associate

College Park, MD

$75K - $80K/yr

The postdoctoral research associate is responsible for developing novel computational methodology ... and visualization Familiarity with common genomics tools, formats and programs Experience with ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site

Research Faculty Senior management: Agriculture & Life Sciences Department: Agricultural & Applied ... data visualization and decision-support tools (e.g., R Shiny, Power BI, Tableau, or similar ...

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How much do visualization postdoctoral researcher jobs pay per year?

As of Jun 7, 2026, the average yearly pay for visualization postdoctoral researcher in the United States is $113,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Visualization Postdoctoral Researcher, and why are they important?

To thrive as a Visualization Postdoctoral Researcher, you need a PhD in computer science or a related field, with expertise in data visualization, programming, and quantitative analysis. Familiarity with visualization libraries (e.g., D3.js, Tableau), statistical tools, and scientific publishing platforms is typically required. Strong analytical thinking, creativity, collaboration, and communication skills help convey complex research findings effectively. These abilities are crucial for advancing the field, securing funding, and ensuring research has real-world impact.

What is a Visualization Postdoctoral Researcher?

A Visualization Postdoctoral Researcher is an early-career scientist who specializes in the study and development of new methods for visualizing data. They typically work at universities, research institutes, or industry labs after earning a PhD, focusing on topics such as scientific visualization, information visualization, or visual analytics. Their work often involves developing algorithms, conducting user studies, and publishing research on how to best represent complex data visually to facilitate understanding and decision-making. These researchers also collaborate with interdisciplinary teams to apply visualization techniques to various domains, including science, engineering, and medicine.

What is the difference between Visualization Postdoctoral Researcher vs Data Scientist?

AspectVisualization Postdoctoral ResearcherData Scientist
Required CredentialsPhD in relevant field, research experience in visualizationBachelor's/Master's in CS, stats, or related; often with experience in data analysis
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, or consulting firms
Employer & Industry UsageResearch projects, academia, government labsBusiness analytics, product development, data-driven decision making

While both roles involve data visualization skills, a Visualization Postdoctoral Researcher primarily focuses on academic research and developing new visualization methods, often within a university or research setting. In contrast, a Data Scientist applies visualization techniques to analyze and interpret data for business insights, typically within industry environments.

What are some common challenges faced by Visualization Postdoctoral Researchers when collaborating with interdisciplinary teams?

Visualization Postdoctoral Researchers often work closely with professionals from domains such as computer science, data science, and specific application fields like biology or engineering. One common challenge is bridging the communication gap between team members with diverse technical backgrounds and priorities. Researchers frequently need to translate complex data concepts into intuitive visual representations that are meaningful to all stakeholders. Effective collaboration requires strong communication skills, openness to feedback, and the ability to adapt visualization techniques to suit varied audience needs.
Postdoctoral Associate - Clinical Epidemiology

Postdoctoral Associate - Clinical Epidemiology

Baylor College of Medicine

Houston, TX • On-site

$62K - $64K/yr

Full-time

Posted 9 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

50th of 534 rated colleges and universities

Job description

Job Title: Postdoctoral Associate - Clinical Epidemiology
Division: Pediatrics
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232 - $64,356
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Department of Pediatrics is seeking a Postdoctoral Associate to use data science tools and population health techniques to improve outcomes for children with cancer and blood disorders globally. This position splits time evenly between maintaining data pipelines and conducting analyses for the Global HOPE capacity-building program in Sub-Saharan Africa and conducting epidemiological research on pediatric cancer disparities for patients treated in the US. The Postdoctoral Associate will use R or Python to maintain data pipelines, develop interactive dashboards, perform survival analyses, and conduct research in health outcomes disparities and predictors of treatment success for children with cancer.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Supports the construction and maintenance of data pipelines. Maintains and further develops the existing data pipeline used for Monitoring & Evaluation (M&E) of the Global HOPE initiative, ensuring data integrity across partner sites in Sub-Saharan Africa.
  • Designs and builds interactive data dashboards to visualize key performance indicators, patient volumes, and program outcomes for stakeholders. Develops dashboards for program operations and research.
  • Designs and develops statistical analysis for research. Analyzes programmatic data to support the Global HOPE mission of training pediatric hematologist-oncologists and building treatment capacity in partner countries.
  • Assists in interpretation of data.
  • Investigates treatment-associated toxicities using clinical data to develop predictive risk models.
  • Applies survival analysis techniques to evaluate long-term outcomes in diverse pediatric patient populations.
  • Leads production of scientific abstracts and manuscripts for scientific community.
  • Contributes to grant writing and study development.
  • Leads the writing and prepares manuscripts for peer-reviewed journals and present findings at national and international conferences.
  • Provides technical guidance to junior data analysts or research coordinators, but primarily an individual contributor role.
  • Performs other job-duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • PhD in Epidemiology, Biostatistics, Data Science, Bioinformatics, or a related field; OR an MD with a strong quantitative background/Master's degree in a quantitative field.
  • Experience developing data dashboards (e.g., Shiny, Dash, Tableau, or PowerBI).
  • Strong background in survival analysis and regression modeling.
  • Experience with data engineering or maintaining data pipelines (ETL processes).
  • Experience in Global Health or working with international datasets (specifically Sub-Saharan Africa).
  • Prior experience with clinical or healthcare data (EHR, registries).
  • High proficiency in coding with R or Python for data cleaning, analysis, and visualization.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Nature; PD; SN
Requisition ID: 24644

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