Silent Spring Institute seeks a versatile bioinformatician, data scientist, machine learning expert, or statistician to tackle big data problems in environmental health and cancer prevention. The position can be structured as a permanent position or a postdoctoral fellowship. We will also consider hiring a consultant for short term project-specific work.
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
- Develop and implement new methods for analyzing gene expression data from high-throughput screening platforms to gain insights about the mechanisms of chemical carcinogenesis
- Developing predictive models to identify hazardous chemicals from in vitro data
- Mapping the “exposome” and “metabolome” by developing computational methods for new, more comprehensive analyses of chemicals and effect markers in human tissues
- Analyses in Veterans Administration Health Care database relating pharmaceutical or environmental chemical exposures and adverse health effects
- Text mining to uncover trends in published research on suspected carcinogens
- Identifying the unique exposures of workers in high-risk occupations
- Publish 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
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. Our publications list is here.
Benefits include a competitive salary consistent with academic settings, an intellectually stimulating and friendly workplace with a public interest mission, 4 weeks of vacation and 12 days sick leave per year, funding for classes and conferences to support staff development, and reimbursement for T-pass. Silent Spring pays 75% of health insurance premiums.
Level of Language Proficiency
- Expertise in the analysis of large genomic data sets, esp. with DESeq2, Limma
- Programming and data management experience, including experience with R
- Doctorate degree in statistics, mathematics, or related field (or equivalent experience)
- Dedication to rigorous science in the public interest
Minimum Education Required
How To Apply
To apply, send a cover letter describing your interests and experience related to this job, resume, writing sample, and copies of academic transcripts to Laura Borth at firstname.lastname@example.org with “data scientist position” in the subject line.