About The Position

The Department of Biostatistics and Data Science at Wake Forest University Health Sciences is seeking a motivated research fellow to join a multidisciplinary team led by Dr. David Kline. The team works to improve understanding of the epidemiology of substance use by integrating multiple data sources and developing novel statistical methods for spatio-temporal epidemiology. The fellow will contribute to extramurally funded research projects at the intersection of biostatistics, epidemiology, and health policy. The role combines statistical methods development with collaboration across disciplines to translate methodological research into practice. Interest in substance use epidemiology, public health policy, and application-driven spatial statistical methods development is desirable. The position is within a large academic biostatistics and data science unit with faculty, staff, and collaborators across public health and statistical sciences. It is full-time, with a 40-hour workweek and first-shift schedule. The listed pay range is $30.70–$46.05.

Requirements

  • PhD in biostatistics, statistics, or a related field.

Nice To Haves

  • Experience with Bayesian methods.
  • Experience with spatial statistics.
  • Interest in substance use epidemiology, public health policy, and application-driven spatial statistical methods development.

Responsibilities

  • Develop statistical methods.
  • Conduct applied statistical modeling.
  • Contribute to manuscript development.
  • Contribute to grant proposal writing.
  • Participate in other dissemination activities.
  • Collaborate with a multidisciplinary team on research projects and help translate methodological research into practice.

Benefits

  • Paid Time Off programs
  • Medical, dental, vision, life, and short- and long-term disability benefits
  • Flexible Spending Accounts for eligible health care and dependent care expenses
  • Adoption assistance and paid parental leave
  • Defined contribution retirement plans with employer match and other financial wellness programs
  • Educational Assistance Program
  • Competitive compensation
  • Opportunity for annual increases based on performance
  • Incentive pay for select positions
  • Premium pay such as shift and on-call pay, based on the position

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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