Research Scientist or Postdoctoral Research Associate - School of Data Science

UVA Health

1d • $80,000 - $120,000

About The Position

This position offers the opportunity to work on a wide range of data science projects, including—but not limited to—network science, AI and machine learning, computational social science, and the science of science.

Requirements

• Ph.D. in data science, computer science, informatics, statistics, network science, or a related field.
• Strong record of research productivity, demonstrated through publications or equivalent contributions.
• Expertise in one or more of the following: machine learning, network science, natural language processing, computational social science, causal inference, or science of science.
• Strong software engineering and data visualization skills, as well as research communication skills to both technical and non-technical audiences.
• Experience with large-scale data analysis and modern data science tools.
• Good communication skills and enthusiasm for collaborative, interdisciplinary work.

Responsibilities

• Conduct independent and collaborative research in data science.
• Lead and contribute to grant proposals and funded research projects.
• Develop, implement, and publish novel data-driven methods, models, analyses, and tools.
• Collaborate with faculty, students, and external partners on interdisciplinary research.
• Contribute to the intellectual community of the School of Data Science through seminars, workshops, and mentoring.

Benefits

• UVA Health Plan: the choice between 3 different health plans
• Vision Coverage
• Dental Plan
• Benefit Savings Plans
• Life Insurance
• Disability Benefits
• Paid Time Off: starting with 22 days of time off per year, 12 or more holidays, 8 weeks parental leave
• Use of up to $5250 per calendar year towards a for-credit degree program or for-credit certificate program
• Use of up to $2000 of the total $5250 noted above per calendar year for professional development including job-related training, conferences, and initial certificate exams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree