Postdoc in Network Science for Pediatric Health Data

Brigham and Women's Hospital, Inc.

Boston (MA)

Hybrid

USD 70,000 - 72,000

Full time

5 days ago
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Job summary

The RESPOND Lab at MGH is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position.

This role applies network science to pediatric health access and outcome data with a multidisciplinary team of health services researchers and pediatric emergency medicine experts. Strong computational skills and expertise in R are required; Python and network science experience are desirable.

Qualifications

  • Doctoral degree in biostatistics, statistics, or a related field.
  • Strong computational skills and expertise in R is required.
  • Experience with health services data and network science is desirable.
  • Ability to work independently and to present results at meetings and in publications.

Responsibilities

  • Performing independent analytic tasks.
  • Designing and implementing modifications of research protocols.
  • Troubleshooting problems and instructing colleagues in statistical and network science techniques.
  • Synthesizing and interpreting results.
  • Presenting results at lab meetings and national conferences.
  • Assisting with preparation of grant applications.

Skills

Network science
Statistical analysis
Data management
Independent work
Analytical thinking

Education

PhD in biostatistics, statistics, or related field

Tools

R
Python

Job description

The RESPOND Lab at MGH is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position.

This role applies network science to pediatric health access and outcome data with a multidisciplinary team of health services researchers and pediatric emergency medicine experts. Strong computational skills and expertise in R are required; Python and network science experience are desirable.

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