Research Associate III

Position Information Posting Number SF01647 Job Title Research Associate III (STEEP: Data Management and Analysis Core) Position Number 109179 FTE 1.00 FLSA Exempt Position Type Professional Staff Union PSA/NEA - Professional Staff Assoc Pay Grade Level Grade Level: 11 Pay Grade Range Expected Salary Range: $60,000 - $75,000 Status Calendar Year, Full-time, Limited Department Information Department Kingston Library Contact(s) Please note: Job applications must be submitted directly online only at: Contact Phone/Extension Contact Email Physical Demands Campus Location Kingston Grant Funded No Extension Contingency Notes This is a full time, calendar year position, limited to 06/30/2025 with anticipated renewal. Job Description Summary The search will remain open until the position has been filled. First consideration will be given to applications received by November 2, 2023. Applications received after November 2, 2023, may be reviewed depending on search progress and needs, but are not guaranteed full consideration. BASIC FUNCTION: Support STEEP (Sources, Transport, Exposure & Effects of PFAS) by developing and implementing data management practices based on the FAIR (Findable, Accessible, Interoperable, and Reusable) principles for data collected from experiments, simulations, field research, and clinical studies. Work closely with project teams to ensure that data generated by the project are managed in a manner that promotes transparency, collaboration, and scientific rigor. Duties and Responsibilities ESSENTIAL DUTIES AND RESPONSIBILITIES: Implement data management plans and practices for the project in accordance with the FAIR principles. Work with the research team to ensure that data are properly documented, formatted, and curated to promote reusability and interoperability. Develop and maintain data sharing agreements and policies for the project. Ensure compliance with ethical and legal requirements related to data management and sharing. Participate in project meetings and collaborate with team members to advance the scientific goals of the project. Contribute to the preparation of scientific publications, reports, and presentations. OTHER DUTIES AND RESPONSIBILITIES: Perform other duties as assigned. LICENSES, TOOLS, AND EQUIPMENT: Personal computers and printers; word processing, data analysis, database management, and project management software. Python or R. Required Qualifications REQUIRED: 1. Master's degree in environmental science, data science, public health, or related field. 2. Minimum three years' experience in data management and analysis. 3. Demonstrated ability to effectively communicate technical information to a wide variety of audiences. 4. Demonstrated experience with best practices for data collection, documentation and sharing. 5. Demonstrated experience with Python or R for data management and analysis. 6. Demonstrated organizational skills. 7. Demonstrated strong interpersonal and verbal communication skills. 8. Demonstrated proficiency with written communication skills. 9. Demonstrated ability to work independently and as part of a team. 10. Demonstrated ability to work with diverse groups/populations. Preferred Qualifications PREFERRED: 1. Doctoral degree. 2. Demonstrated familiarity with the FAIR principles. 3. Demonstrated experience with the use of taxonomies, thesauri, and/or ontologies. 4. Demonstrated familiarity with LC-MS analysis. 5. Demonstrated experience with XML or JSON data. 6. Demonstrated familiarity with proteomics and RNA sequencing data. 7. Demonstrated experience working on interdisciplinary research projects. ALL REQUIREMENTS ARE SUBJECT TO POSSIBLE MODIFICATION TO REASONABLY ACCOMMODATE INDIVIDUALS WITH DISABILITIES. Environmental Conditions This position is not substantially exposed to adverse environmental conditions. The physical environment is a climate-controlled office with occasional in-state and out-of-state travel. Significant desk-time and computer use. Posting Date 10/12/2023 Closing Date Special Instructions to Applicants Please attach the following 3 (PDF) documents to your online Employment Application: Cover letter. Resume. Other Document - References - the names and contact information of three professional references. (Note: this document is required even though references may be listed on the application). Quicklink for Posting