In an effort to map fungal networks and advocate for their protection, SPUN, the Society for the Protection of Underground Networks, is looking for a Global Data and Sampling Coordinator who will handle sampling, logistics, and database management for an open-source global fungal mapping pipeline. The scientist should be familiar with next generation DNA sequencing data formats and processing, and be very detail oriented, with stellar communication skills. The work will involve identifying existing datasets, and networking with partners to generate new data from under-sampled areas around the world, in collaboration with our sequencing service providers.
Coordinating and Building: We are looking for a detail oriented scientist who is capable of learning new data structures and formats. A critical component of the job is to harmonize datasets from diverse sources, and to document nuanced differences in DNA sequencing chemistries and platforms. The scientist will build relationships with researchers and field biologists around the world, including developing and managing relationships across a network of global universities and companies. The Global Data and Sampling Coordinator will work closely with our Global Fungal Diversity Scientist, who will supervise and integrate datasets into an analysis pipeline.
The ideal candidate will have an interest in fungal networks and how they operate, and will be able to support the organization with conceptual questions. This role offers excellent opportunities to contribute to scientific publications for primary academic literature, as well as lead authorship if desired. However, generating publications is not required.
Finally, we do not expect the researcher to have all desired skills. Application is encouraged even if only some of the criteria are met. This is an excellent opportunity to build experience, while working with a motivated team of scientists.
SPUN is a science-based initiative founded to map fungal networks and advocate for their protection. In collaboration with researchers and local communities, we aim to accelerate efforts to protect underground ecosystems largely absent from conservation and climate agendas. SPUN is using machine learning to predict the distribution of network biodiversity across the planet. SPUN will collect an additional 10,000 samples across ecosystems on all continents in the next 18 months to explore network biodiversity and carbon-sequestration hotspots.
Full-time, initially contract based
We are looking for strengths in:
- Management of microbiome datasets
- Use of bioinformatic pipelines to process microbiome data
- Incredible attention to detail, and a commitment to document those details
- Ability to manage many global relationships simultaneously
We expect you to:
- Have Masters-level or PhD qualifications, but exceptions will be considered
- Bring a passion for fungi and biodiversity
- Have ownership of all work from end-to-end
- Take part in strategic thinking
- Communicate, develop and document all research with painstaking detail
How to apply:
Please send applications to firstname.lastname@example.org with the subject line "Global Data and Sampling Coordinator" and your name. Please include a CV, a one-page cover letter describing why you are well suited for this position, and if available, though not required, a link to a code repository you believe is a strong example of your work (i.e. a github repo or similar).