Geospatial Data Scientist (Full time or Internship)

Job Description

We seek a Geospatial Data Scientist for our Boston-based public health informatics company. The Data Scientist would join a dynamic team of scientists, engineers, and clinicians tackling global challenges across wide range of population health domains, including infectious disease, drug safety, global land use, remote sensing, and supply chain analysis. The Data Scientist will also contribute to presentation decks, white papers, and research projects in using novel data sources for public health surveillance.

Applicants should have experience (or training) with geographic data processing and analysis tools, such as Python, R, MapReduce, Apache Spark/Storm, as well as machine learning, data visualization, data mining, geospatial analysis, and natural language processing. An ideal candidate would also have experience with statistics and domain knowledge from fields such as epidemiology, geography, ecology, bioinformatics, physics, medicine, or digital humanities. We also seek an understanding the software stack including databases, web development, and open source collaboration.

This is a customer-facing position; ability to work with enterprise clients and strong written and verbal communication are important. Off-hours work is limited but, given availability and the dynamics of public health crises, the role occasionally requires rapid responsiveness and attention on nights and weekends, both planned and unplanned.

The position will be full time, albeit with a flexible schedule. Junior applicants will be considered for an internship (20h/week). We are a diverse, multi-nationality, multi-ethnic, gender-balanced, and family friendly team. Candidates from historically underrepresented backgrounds are encouraged to apply.

Requirements

• 2 years experience in applied data science or degree in data science
• A portfolio of past work or personal projects
• Scripting/programming skills e.g. R, Python, Julia, Javascript
• Geospatial analysis (QGIS, ArcGIS, Grass, Python)
• Spatial data experience (PostgreSQL, PostGIS or MongoDB)
• Experience with social programming tools (git/GitHub)

Bonus

• Familiarity with supply chain, remote sensing, or life sciences
• Understanding of data mining and natural language processing

What We Offer

• Full-time: Competitive base salary and annual bonus potential; contribution to health benefits (medical, dental, vision); paid time off
• Internships: Competitive hourly rate
• Flexible schedule and location
• Unique and growing company culture that fosters your professional growth

About Epidemico, Inc.

Epidemico is a health data collection and analytics company. We combine natural language processing, crowdsourcing, and public health expertise to provide real-time insights and consumer engagement on population health. Our web and mobile platforms serve as resources for the public, government officials, life science, hospitality and financial companies. The company is a spinoff from Boston Children’s Hospital, Harvard Medical School and MIT. Our work has been nationally recognized by the Smithsonian, the White House, the Library of Congress as well as national and international media including the New York Times, the Wall Street Journal, NBC and CNN.

HealthMap is one of Epidemico’s major product lines. HealthMap is an established global leader in utilizing online informal sources for disease outbreak monitoring and real-time surveillance of emerging public health threats. The freely available Web site healthmap.org and mobile app “Outbreaks Near Me” deliver real-time intelligence on a range of emerging infectious diseases for a diverse audience including local health departments, governments, and international travelers. HealthMap brings together disparate data sources, including online news aggregators, eyewitness reports, expert-curated discussions and validated official reports, to achieve a unified and comprehensive view of the current global state of infectious diseases and their effect on human and animal health. Through an automated process, updating 24/7/365, the system monitors, organizes, integrates, filters, visualizes and disseminates online information about emerging diseases in fifteen languages, facilitating early detection of global public health threats.

How to apply

Please contact chi AT epidemico DOT com to apply.