Biostatistics Data Engineer

Harvard T.H. Chan School of Public Health; Boston (MA); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Parental leave and generous PTO

Tuition assistance and reimbursement

Wellbeing resources

Commuter benefits and campus perks

Professional development opportunities

Job summary

Harvard T.H. Chan School of Public Health in Boston seeks a Programmer for the NSAPH group to develop and deploy data cleaning, processing pipelines, and analytic datasets from EHR, claims, environmental data, using GitHub and UNIX environments.

Under supervision of Principal Research Scientist Dr. Danielle Braun, you will maintain databases with R, Python, SQL; build modular pipelines; contribute to documentation and data catalogs; work on HPC clusters.

Qualifications

• 2+ years post-secondary experience with R, Python, SQL, GitHub.
• Experience with data cleaning and pipelines.
• Experience with healthcare/environmental data a plus.

Responsibilities

• 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
• Develop and refactor code for modular data processing pipelines, utilizing workflow languages and configuration managers
• Perform data exploration for preparation of datasets for environmental health research
• Build deployable data products using containers for data processing pipelines and dashboards
• Support data cataloging via JSON-based metadata schema
• Perform other duties as assigned

Skills

R

Python

SQL

GitHub

UNIX

Data cleaning

HPC

Education

Bachelor's or Master’s in Statistics/Data Science/CS

Tools

R

Python

SQL

GitHub

UNIX

Containers

Job description

Harvard T.H. Chan School of Public Health in Boston seeks a Programmer for the NSAPH group to develop and deploy data cleaning, processing pipelines, and analytic datasets from EHR, claims, environmental data, using GitHub and UNIX environments.

Under supervision of Principal Research Scientist Dr. Danielle Braun, you will maintain databases with R, Python, SQL; build modular pipelines; contribute to documentation and data catalogs; work on HPC clusters.