The Finkelstein Laboratory in the Division
of Nutritional Sciences, Cornell University is seeking applications for a
full-time post-doctoral associate. We are conducting several large randomized
clinical trials, cohort studies, and surveillance programs, in India, Latin
America, and the United States related to nutrition, infectious diseases, and
maternal and child health; funded by the National Institutes of Health and the
Centers for Disease Control and Prevention.
The
post-doctoral associate will provide expertise in statistical analyses and assist
with the development of scientific manuscripts and research grant applications.
The candidate will work with large,
complex datasets from recently completed
randomized trials and prospective cohort studies. Responsibilities include
cleaning datasets from recently completed research studies, database
management, conducting statistical analyses (SAS or R), review/verification and
archival of programs for research manuscripts, and providing support for other
lab members designing and conducting statistical analyses for research
manuscripts. This position will be based in Ithaca,
New York, with the potential for remote/flexible work and short-term travel and
fieldwork at our international research sites. This is a one year full-time benefits eligible position which may be
extended for up to 4 years depending on performance and continuation of funding.
Responsibilities
1.
Conduct biostatistical analyses of
large complex longitudinal datasets
2.
Develop final publishable-quality
tables and figures for inclusion in research manuscripts
3.
Write (and clearly
document) SAS or R programs to clean, maintain, and analyze datasets
4.
Manage data-related aspects of research
projects
5.
Assist with the development of research
manuscripts
6.
Assist with the development of grant
applications
Qualifications
1.
A doctoral degree in Biostatistics, Statistics,
or Epidemiology is required. Individuals with
doctoral training in other fields with a strong quantitative focus are
also invited to apply
2.
Demonstrated proficiency in SAS or R and
experience working with large complex longitudinal datasets is required. (Experience
conducting statistical analyses such as robust variance, binomial regression,
generalized estimating equations, Cox proportional hazard models, repeated
measures analyses, and hierarchical analytic methods required.)
3.
Excellent quantitative,
technical, analytic, and applied research skills are required
4.
Excellent written and communication
skills, including scientific writing are required
5.
Strong attention to detail, excellent
time management, detail-oriented work style, and meticulous and consistent
follow through on projects are required
6.
Strong written and
oral communication skills and ability
to work both independently and collaboratively as part of a multidisciplinary
research team are required
7.
Knowledge of artificial intelligence
(AI) models and development of AI tools with applications in disease
detection/diagnosis and epidemiology is desirable
8.
Familiarity with biological, medical, nutrition
and/or public health research; and randomized trials and epidemiological
studies desirable
9.
Interest in nutrition and maternal and
child health and experience with biological datasets, or high-dimensional data
and knowledge in biology is preferred
)