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Multiple Open-Rank and Open-Track Faculty position(s) - Assistant Professor, Associate Professo[...]

Columbia University

New York, Cary (NY, NC)

On-site

USD 80,000 - 160,000

Full time

30+ days ago

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Job summary

An esteemed institution is seeking dynamic faculty members for its Biostatistics Department. This role offers the opportunity to engage in cutting-edge research and education in biostatistics, with a focus on innovative methodologies and collaborative projects. Join a team renowned for its expertise in clinical trial design, machine learning, and precision medicine. Candidates will be part of a vibrant academic community, contributing to the advancement of health data science while mentoring the next generation of leaders in the field. This position promises a fulfilling career in a supportive and intellectually stimulating environment.

Qualifications

  • Candidates should hold a doctoral degree in biostatistics, statistics, or a related field.
  • Expertise in biomedical applications and statistical genetics is desirable.

Responsibilities

  • Maintain an active research program in biostatistical methodology.
  • Teach effectively to graduate students in biostatistics.
  • Mentor graduate students and contribute service to the department.

Skills

Biostatistical Methodology
Teaching
Research
Mentoring
Deep Learning in Health
Statistical Genetics/Genomics
Causal Inference
Machine Learning

Education

Doctoral Degree in Biostatistics
Doctoral Degree in Statistics
Doctoral Degree in a Related Field

Job description

The Department of Biostatistics at Columbia University's Mailman School of Public Health seeks applicants for multiple open-rank, tenure-track, and tenured faculty positions in Biostatistics.


The Department of Biostatistics at Columbia University is one of the premier biostatistics departments in the nation. It has more than 35 faculty members, including 13 ASA Fellows, and 14 research staff members. The department is renowned for research in clinical trial design, survival analysis, nonparametric and semi-parametric statistics, precision medicine, causal inference, machine learning, functional data analysis, imaging statistics, statistical genetics, and other fields. It maintains strong collaborative ties within the Mailman School of Public Health, a top-ranked institution, and the Columbia University Irving Medical Center. The department offers education programs leading to M.S., M.P.H., Ph.D., and Dr.P.H. degrees and is at the forefront of health data science in collaboration with the Columbia Data Science Institute.


The Mailman School of Public Health is a globally renowned institution in public health research and education, with over 500 full-time faculty members across six departments, many holding interdisciplinary appointments, and numerous centers fostering interdisciplinary collaboration. The Columbia University Irving Medical Center includes four schools and is a leader in scientific research, medical education, and patient care.


Responsibilities:

  • Maintain an active research program in biostatistical methodology and collaborative research.
  • Teach effectively to graduate students in biostatistics and students from other disciplines.
  • Mentor graduate students.
  • Contribute service to the department, school, university, and profession.

Candidates should hold a doctoral degree in biostatistics, statistics, or a related field by the start date. Expertise in biomedical applications such as deep learning in health, reinforcement learning, spatio-temporal statistics, digital health, network analysis, knowledge extraction, statistical genetics/genomics, aging, frailty, and precision medicine is desirable. Consideration for tenure requires a strong record in teaching, research, publications, and external funding. Junior candidates should demonstrate potential; senior candidates should be recognized scholars with a proven track record.


Columbia University is an Equal Opportunity Employer / Disability / Veteran.


Pay Transparency Disclosure


The salary will be determined based on factors such as qualifications, experience, and departmental budget. The posted range is an estimate of possible compensation.

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