Postdoctoral Health Analytics Scientist Global Science

Talentmate

What We Can Achieve Together

The Postdoctoral Health Analytics Scientist will work as part of the Global Science Team for The Nature Conservancy (TNC). They provide technical and scientific support for The Nature Conservancy s One Conservancy Science Plan, which is investing in science across the organization to achieve TNC s 2030 Goals for people and nature. This position will be focused on health sciences, helping to advance the work of the organization s Planetary and Human Health Initiative.

This position will report to the Planetary Health Scientist and will sit on the Human Dimensions Science team (one of the 6 Science lines in the Global Science team). The Postdoctoral Fellow will analyze health impacts of nature-based solutions, informing the development of new methodologies and supporting study design and analytics work under a range of projects (e.g. on health dimensions of urban greening, restoration, regenerative agriculture, natural climate solutions, and watershed conservation).

This is a two-year term limited position with the possibility of a one- or two-year extension based on performance, deliverables, and funding opportunities. A competitive salary and benefits package is part of TNC s value proposition to our employees. TNC strives to provide competitive pay and bases salaries on the geographic location of the role, committing to being equitable across groups and providing hiring salary ranges when possible. The location for this position is flexible to all locations where The Nature Conservancy is registered to do business. Specific salary ranges will vary depending on the location of the selected candidate.

We re Looking For You

The Postdoctoral Health Analytics Scientist reviews and synthesizes scientific literature to guide understanding that can inform conservation action related to TNC s 2030 Goals including people, global climate change and biodiversity, with a focus on connections to health. They analyze data, develop research methodologies, design and conduct studies, write reports and peer reviewed articles and develop proposals to support conservation efforts that are health-positive. The Postdoctoral Health Analytics Scientist designs empirical strategies, identifies data protocols to test hypotheses, evaluates outcomes, and contributes to the development of new theories of change related to the testing, validating, and scaling of nature-based solutions and ecosystem services for health. They may provide quantitative research support to other Human Dimensions Science projects, administer and coordinate conservation activities, and undertake project management in order to inform programs within the Global Science business unit and scientific research. They also contribute to grant writing and other fundraising activities.

• Ph.D. in a health-related or natural or social science discipline with mixed methods skills, awarded by start of the position (and no longer than 4 years prior) and at least 1 to 2 years of related experience.
• Experience and interest in interdisciplinary research on topics including health-related ecosystem services, health geography, and/or epidemiological analyses related to climate/biodiversity and health connections.
• Experience reviewing and synthesizing relevant scientific literature.
• Experience collecting, manipulating, analyzing and interpreting scientific data.
• Experience preparing reports of findings for peer-reviewed publications.
• Experience with grant writing or other fundraising efforts.
• Strong writing and communication skills in English.
• Record of peer reviewed publications.
  
  

• Experience sourcing and analyzing health and exposure information (e.g., via clinical records, population-based household surveys, surveillance studies) using secondary or primary data.
• Experience integrating and analyzing health, ecological, and spatial data.
• Experience managing, analyzing, and visualizing spatial data with Google Earth Engine, ArcGIS, QGIS, or similar programs, using languages such as Python or R.
• Experience with qualitative comparative analysis.
• Experience with sampling strategies and developing data collection instruments.
• Experience working with and integrating health and environment data.
• Familiarity with demographic and socio-economic data sets.
• Experience that demonstrates attention to detail.
• Experience working collaboratively across multiple interests and disciplines, including non-scientists.
• Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities.
• Experience working with diverse groups of staff and partners.
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