· Manage, clean, harmonize, document, and analyze health-related datasets.
· Communicate research results effectively and actively participate in preparing publication-ready tables, manuscripts, conference abstracts and progress reports.
· Collaborate actively with team members, research staff, students, and external collaborators.
· Perform additional duties and responsibilities as needed, based on the evolving needs of the projects.
· PhD in one of the fields: nursing, public health, epidemiology, biostatistics, biomedical informatics, data science, psychology, gerontology or any other related fields.
· Expertise in at least one data science software package (e.g., R, Python, SQL), experience in statistical analyses or machine learning techniques and ability to manage/analyze data and interpret the results.
· Excellent written communication skills and strong potential for publications.
· Ability to multitask and adjust project priorities based on project needs.
· Enthusiasm to advance research in aging, ADRD, health services research, and data science.
· Experience working with large-scale secondary health datasets, such as electronic health records, claims data, HRS, ADNI, All of Us, or similar aging/health datasets.
· Evidence of experience in quantitative data analysis and reproducible computational research using statistical and programming tools (e.g., R, Python) applied to health or population-based research.
· Project management skills.
Please submit the following documents in interfolio via this link: https://apply.interfolio.com/193432
Most recent curriculum vitae, links to publications.
Cover letter (1–2 pages, single-spaced) highlighting the reasons the applicant is interested in the position and describing relevant research experience, career goals, and the skills and experiences they would bring to the research team.
Candidate evaluation will begin immediately and continue until the position is filled. The postdoc's term is confirmed to be 1 year, with the following years contingent on available funding and the postdoc’s successful performance. Position is full-time with a hybrid work schedule (in-person and remote), based at Clemson University’s Nursing Building (605 Grove Road, Greenville, SC 29605)
· Official transcripts from all institutions of higher education attended.
· Three letters of recommendation, one of which from the applicant’s dissertation committee.
Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law including disability and protected veteran status.
