Opportunities

Programmer

The Department of Biostatistics invites applications for a Programmer position in the National Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics.

Duties and responsibilities include, but are not limited to, the following:

Assist with developing and deploying data cleaning, data processing pipelines, data management, variable creation, and variable naming protocols of projects involving electronic health records, administrative claims data, environmental exposure data, and other complex databases using GitHub

Maintain databases using R, Python, and SQL in collaboration with members of the research team
Create and link customized databases and analytic datasets in UNIX environments
Assist in the development, maintenance, and documentation of software in R (including R functions), Python, and SQL
Function as a resource for the Senior Programmer, to help debug programs and to access correct data
Work on HPC computing clusters and work with cluster computing IT to troubleshoot any issues in collaboration with the Senior Programmer and other team members
Perform other duties as assigned

Preferred Qualifications and Skills

Knowledge of information technology applications, processes, software and equipment

Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor
Bachelor’s or Master’s Degree in Statistics, Data Science, Computer Science, Mathematics, Informatics, or other health data related field
Professional working experience with R, Python, SQL, GitHub, and/or related software
Knowledge of maintenance and support of IT infrastructure systems within a HPC cluster environment
Excellent written, verbal, and interpersonal communication skills, as well as efficiency and time management skills Highly organized with a strong attention to detail and accuracy
Experience collaborating with all levels of research team; demonstrated team performance skills
Service‐oriented mindset and approach
Awareness of and aptitude to appropriately and effectively understand, respect, and adapt to cultural and identity‐ based difference within group environments
Knowledge of and commitment to concepts and issues tied to social justice, diversity, equity, and inclusion
Skills related to creating and supporting an environment that allows for inclusion, effective intercultural engagement, and personal humility and authenticity
Experience fostering and reinforcing an environment that values unique experiences, cultures, backgrounds, and goals

Certificates and Licenses

Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred

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POSTDOCTORAL RESEARCH POSITION: DATA SCIENCE

The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for data science and/or statistical methods development to address questions of climate change and air pollution regulatory policy. Expertise in causal inference and machine learning is desirable but not necessary. The Postdoctoral Fellow will work with a multi-disciplinary team with expertise in statistical methods, epidemiology, climate science, and biomedical science as part of the NSAPH group, https://www.hsph.harvard.edu/nsaph/ . The position will be under the supervision of Dr. Francesca Dominici, Professor of Biostatistics and co-Director of the Harvard Data Science Initiative.

Duties and Responsibilities:

The Post-doctoral Fellow will contribute to the effort of:

· Analyzing environmental health effects in big data

· Collaborate with our biostatistics and data science group

· Writing scientific articles and research proposals

Qualifications:

Doctoral degree in Computer Science, Statistics, Biostatistics, or related field.
Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred.
Excellent communication and writing skills desired.
The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.
Experience in handling very large spatial datasets.
Experience in applied statistics and computational methods.
Knowledge of R, and Python.
Interest in open-source software, reproducibility and data management.

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POSTDOCTORAL RESEARCH POSITION: BIOSTATISTICS

The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Fellow position for statistical methods development to address questions of climate change and air pollution regulatory policy. Expertise in causal inference and machine learning is desirable but not necessary. The Postdoctoral Fellow will work with a multi-disciplinary team with expertise in statistical methods, epidemiology, climate science, and biomedical science. The position will be under the joint supervision of Dr. Francesca Dominici in the Department of Biostatistics and Dr. Rachel Nethery, and in collaboration with Dr. Danielle Braun. Applicants should have an interest in developing and applying novel and state-of-the-art statistical and data science methods in environmental health.