Cornell University, Division of Nutritional Sciences
Position Description
Postdoctoral
Associate in Biostatistics/Epidemiology
Division of
Nutritional Sciences, Cornell University
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 or related field is required.
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
Applicants must submit the required materials in Academic Jobs Online. To Apply, please click the following link: https://academicjobsonline.org/ajo/jobs/29563
Questions should be directed to Dr. Julia Finkelstein at: jfinkelstein@cornell.edu
Employment Assistance:
For specific questions about the position or application process, please contact the Recruiter listed in the job posting or for general questions email mycareer@cornell.edu.
If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Institutional Equity and Title IX at voice (607) 255-2242, or email at equity@cornell.edu.
Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu.
Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.
EEO Statement:
Diversity and Inclusion are a part of Cornell University’s heritage. We are a recognized employer and educator valuing AA/EEO, and we do not tolerate discrimination based on any protected characteristic, including race, ethnic or national origin, citizenship and immigration status, color, sex/gender, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff from all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.
Pay Ranges:
The hiring rate of pay for the successful candidate will be determined considering the following criteria:
- Prior relevant work or industry experience.
- Education level to the extent education is relevant to the position.
- Academic Discipline (faculty pay ranges reflects 9-month annual salary)
- Unique applicable skills.
Application Materials Required:
- Cover letter
- Curriculum Vitae
- Sample Scientific Publication
- Three references (no actual letters, just names and email addresses
)
Further Info:
Division of Nutritional Sciences
Savage Hall, Ithaca, NY 14853