David Allison writes:
UAB’s Office of Energetics (http://www.soph.uab.edu/energetics/home) seeks a post-doctoral fellow with statistical training for a fellowship in obesity-related research as part of a highly interactive collaborative interdisciplinary team.
· Collaborative Style: We are seeking a good-spirited team-player who gets along well with others from diverse intellectual, social, and demographic backgrounds and who enjoys being part of a group and helping others.
· Communication Ability: Excellent English-language written and oral communication abilities are essential. Must be able to communicate with scientists from many disciplines and who have statistical training ranging from zero to highly expert.
· Citizenship: Though not formally required, US citizenship or permanent residency is desirable.
· Statistical Abilities: Abilities should be commensurate with a PhD in biostatistics or statistics and include strength and experience in applied data analysis. No knowledge of or experience in obesity is required. We will provide that training. The ability to work rigorously and carefully to assure quality control is essential.
· Duties: Participate in multiple scientific projects related to obesity, energetics, and related topics. Conduct statistical analyses, write sections of manuscripts, write sections of grant proposals, and participate in design of new studies. Many opportunities to publish papers as co-author and some as lead author. Participate in training seminars and workshops.
· Salary: Greater than or equal to NIH stipend levels (see: http://grants.nih.gov/grants/guide/notice-files/NOT-OD-16-047.html)
· Benefits: See – https://www.uab.edu/postdocs/benefits
· Start Date: As early as possible.
· Duration of Appointment: Initial appointment is for 1 year and is potentially renewable for up to an additional 3 years by mutual agreement.
· Environment: See: http://www.norc.uab.edu/news/161
· Other: Women, persons from traditionally underrepresented groups, and persons with disabilities are encouraged to apply.
Looks interesting, and this is a research group that’s trying to do real science, not just spit out p-values.