Postdoctoral Research Associate – Human Data Interaction/Data Visualization

**Job Description**
The Roux Institute is seeking two postdoctoral research fellows with an interest in data visualization and statistical graphics to join their multidisciplinary Human-Data Interaction research team. The primary focus of this work will be information visualization, data ethics, and statistical communication, with additional interest in the rhetorical and communicative aspects of data communication. The candidate will lead projects centered on designing and evaluating data visualization techniques for communicating statistical and uncertainty information to broad audiences, leveraging expertise in data visualization and Human-Computer Interaction (HCI). This fully funded position offers a competitive compensation package, benefits, and formal mentoring on research, technology transfer, and proposal development within an academic research environment that provides access to end-users from Biology, Health, and Engineering fields.

**Skills & Abilities**
• Prior research experience in data visualization, graphical perception, or human-centered design.
• Excellent interpersonal, verbal, and written communication skills.
• Meticulous attention to detail.
• Proficiency in HCI research methodology.
• Proficiency in quantitative and qualitative data analysis.
• Experience in interdisciplinary collaborations or a demonstrated potential for such collaborations.
• Strong computational and analytical skills.
• Experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega.
• Expertise in languages and libraries for data analysis such as R or Python.
• Experience performing human subjects experiments.

**Qualifications**
Required Degree(s) in:
• Computer Science
• Human-Centered Computing
• Information Science
• Data Science
• Psychology

**Experience**
Other:
• Must demonstrate prior research experience in data visualization, graphical perception, or human-centered design.
• Preference given to candidates with experience in interdisciplinary collaborations or a demonstrated potential for such collaborations.
• Ideal candidates should possess experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega.
• Ideal candidates should possess expertise in languages and libraries for data analysis such as R or Python.
• Ideal candidates should have experience performing human subjects experiments.

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