NCEAS Environmental Data Science Training Program Manager

We seek a collaborative, creative, and motivated Environmental Data Science Instructor to join our NCEAS Learning Hub team. The NCEAS Learning Hub's mission is to support environmental scientists throughout their data science journey. We teach core data science curriculum, facilitate collaborative learning, and promote best practices in open science through a diverse portfolio of in-person and virtual trainings. The Training Program Manager will be responsible for leading training events, developing and maintaining curricula, facilitating synthesis science research, and supporting the growth of our environmental data science training programs.

The trainings offered by the Learning Hub vary in style (e.g., hour-long workshops, multi-day in-person events), focus (e.g., R, Git, data management, open science, team science, Python), and audience (e.g., graduate students, researchers, industry and agency representatives). This position will play a crucial role in developing training opportunities that address the needs of environmental scientists and professionals, helping them to stay on top of the changing landscape of these fields. The position will also support our full portfolio of Learning Hub programs, such as our introductory to environmental data science course, coreR, and contribute to training efforts led by projects housed at NCEAS, such as the Gulf Ecosystem Initiative, Arctic Data Center, Morpho Initiative, and the LTER Network Office among others.

The Learning Hub team members embrace open, collaborative, inclusive and kind practices. Creating a space where we can co-create and learn from each other. We stand by the principles we teach, empowering our team and others to be part of the open science movement.

RESIDENCY AT NCEAS: NCEAS is located in scenic downtown Santa Barbara, California. Established in 1995, NCEAS is a research center of the University of California, Santa Barbara, and has a growing and thriving community of postdocs, resident scientists, and analysts, and a frequent influx of leading scientists and practitioners from around the world for scientific training and working groups. For 30 years, NCEAS has been developing data science tools, supporting environmental research, and training environmental scientists. There is broad acknowledgment that NCEAS has significantly altered the way ecological science is conducted toward being more collaborative, open, integrative, relevant, and technologically informed.

NCEAS is committed to improving diversity and inclusion in science. We value the diversity of expertise, backgrounds, needs, and experiences reflected among our residents, visitors, and broader communities. We are committed to providing a safe, productive, and welcoming environment for everyone, regardless of race, ethnicity, religion, age, gender identity, parental status, sexual orientation, (dis)ability, citizenship status, and nationality. To see the steps we are taking to advance diversity and inclusion, please see our full statement here: https://www.nceas.ucsb.edu/DEIJ.

To learn more about the NCEAS workplace and for applicant resources, please visit https://www.nceas.ucsb.edu/employment

The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service.

• Bachelor's degree (B.S., B.A.);
• 1 or more years experience in data science, including programming in R, Python, or similar programming language.

• Master's Degree in environmental science or computing-related field;
• Ability to organize information in a way that enhances accessibility and usability;
• Experience using version control (e.g. Git and GitHub);
• Experience conducting or contributing to scientific research project(s).
• Experience with community management or with community groups;
• Experience utilizing various technologies (e.g. Slack, Zoom) for communication and events;
• Demonstrates an understanding and acceptance of diversity, equity, and inclusion concepts that are inclusive of but broader than only race, ethnicity, and gender.

As a successful applicant:

• You have participated in some level of teaching and conducting data science training sessions.
• You have experience conducting data analysis and working with data.
  You understand the need for innovative and creative teaching strategies that promote inclusion.
• You regularly engage with environmental data science communities.
• You have an environmental science background or experience engaging with environmental science-related researchers.

These preferred qualifications offer an aspirational view of the ideal candidate. We encourage applications from candidates with a wide range of experiences and backgrounds, especially those from underrepresented groups regardless of whether you feel that you meet every listed qualification.

• 3 required (contact information only)

Name and contact information for three references. The top candidate's reference will be contacted before the final job offer.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the University of California's Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20. For the University of California's Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination.

As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.