Full-Time Data Scientist @ Newton/Massachusetts
Silent Spring Institute seeks a versatile data scientist, machine learning expert, or statistician to tackle big data problems in environmental health and breast cancer prevention. The position can be structured as a permanent position or a postdoctoral fellowship.
Work in a multi-disciplinary mission-driven team with experts in epidemiology, toxicology, chemistry, computer science, and community-based research, all focused on impartial research to identify and reduce environmental hazards to human health.
Collaborate with investigators at Harvard, Northeastern, UC Berkeley, US EPA, US CDC, and other top-tier research institutions, as well as with diverse environmental and health advocacy groups.
Projects may include
• Analysis of high-throughput toxicity testing and gene expression experiments for insights about the mechanisms of chemical carcinogenesis
• Mapping the “exposome” and “metabolome” by developing computational methods for new, more comprehensive analyses of chemicals in human tissues
• Text mining to uncover trends in published research on suspected carcinogens
• Identifying the unique exposures of workers in high-risk occupations
• Author articles for publication in high profile peer-reviewed journals
• Present research at conferences and public events
• Provide occasional statistical support and training to colleagues
• Lead study design and development
• Contribute to grant proposals
• Dedication to rigorous science in the public interest
• Machine learning and big data expertise
• Programming and data management experience, including familiarity with R
• Doctorate or Master’s degree in related field (or equivalent experience)
Silent Spring Institute is an independent non-profit research organization dedicated to identifying—and changing—the links between the environment and women’s health, especially breast cancer. Our research focuses on breast cancer and environmental pollutants, especially hormone disruptors and animal mammary gland carcinogens. We develop and apply new technologies to differentiate hazardous and safer chemicals, to measure exposures, and to identify effective exposure reduction strategies. We are funded by grants from the NIH, EPA, and other federal and state agencies, as well as private foundations and charitable contributions.