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Columbia University/Dept. of Biostatistics – Postdoctoral Research Scientist
Company NameColumbia University/Dept. of Biostatistics
Position TitlePostdoctoral Research Scientist
Company Information
The Department of Biostatistics within the Mailman School of Public Health at Columbia University is seeking a highly skilled and motivated Postdoctoral Research Scientist to join the Integrated Data and Exposure Analytics (IDEA) Core of the new NIH funded Charting solutions for health impacts of extreme weather (CHART) Center.
This position offers a unique opportunity to conduct state-of-the-art data science on the multidimensional and multisectoral health impacts of extreme weather, with a strong emphasis on health and relevant exposures across the United States.
This appointment is effective immediately for a one-year term, with the potential to renew for a second year.
Duties and Responsibilities
Supervision and Research Focus
The Postdoctoral Researcher will operate within the IDEA Core, which supports data systems, statistical analysis, and exposure modeling across the CHART Center's two interlinked Research Projects.
• Overall Core Leadership: The IDEA Core is co-led by Dr. Kiros Berhane and Dr. Dana Thomson; and they will collectively supervise Core related activities.
• Methodology Supervisors: Dr. Kiros Berhane, Dr. Robbie M. Parks, and Dr. Xiao Wu (as well other members of CHART, as relevant) – in combination or individually as appropriate.
• Focus Areas: Developing exposure datasets and bespoke statistical and causal inference methods to link massive administrative and cohort data (e.g., Medicare claims) with high-resolution extreme weather threat metrics (e.g., heat waves, wildfires, hurricanes).
• Methodological Emphasis: Advanced Data Science methods for health modeling and exposure, including Machine Learning, Causal Inference, computational scalability, and expertise in Bayesian statistical modeling.
Key Responsibilities
The successful candidate will be a core contributor to the IDEA Core's mission, ensuring data quality, reproducibility, and advanced analytical support for CHART.
• Building Advanced Analytical Models (25%): Design and implement advanced data science models to estimate complex, multi-threat health impacts of extreme weather, particularly focusing on neurodegeneration and aging pathways.
• Data Processing & Preparation (20%): Prepare and manage large national and multi-national datasets, including cleaning, linking, and processing complex exposure data.
• Manuscript Writing & Dissemination (20%): Lead the writing and submission of high-impact peer-reviewed manuscripts detailing research findings.
• Training and Development (20%): Actively participate in training opportunities and workshop series coordinated by the IDEA and Administrative Cores to further career development toward independence.
• Core Support (15%): Perform related duties as assigned, including providing support for the IDEA Core's QA/QC plans and data-sharing activities. Participate in pilot program activities as a quantitative resource person.
Position Qualifications
Minimum Qualifications:
• A doctoral degree in a related quantitative field such as Biostatistics, Statistics, Epidemiology, Computer Science, or a related discipline.
Preferred Qualifications:
• Ideally a PhD in biostatistics, statistics, data science, epidemiology, computer science or related discipline.
• Demonstrated high degree of competency in advanced data science methods, including Machine Learning, Causal Inference, and Bayesian statistical modeling/inference.
• Extensive experience with large national and multi-national health datasets (e.g., administrative claims).
• High proficiency in coding and software implementation in R and/or Python.
• Experience using GitHub for version control and processing data on high-performance computing (HPC) clusters.
• A strong, relevant peer-reviewed publication record.
Salary Range$75,000
Benefits
https://research.columbia.edu/office-postdoctoral-affairs-and-early-career-research
Application Instructions
Send inquiries/applications to Haruka Morita, email: hm2487@cumc.columbia.edu
Your application should include your CV and the contact information for 2-3 references.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.