Postdoctoral Associate in Biostatistics/Epidemiology

Zymtronix Catalytic Systems Inc; New York (NY); Hybrid; USD 61,000 - 87,000; Full time

Job summary

An established industry player is seeking a dedicated Postdoctoral Associate in Biostatistics/Epidemiology to join a dynamic research team. This full-time position offers the opportunity to engage in impactful research related to nutrition, infectious diseases, and maternal and child health. The ideal candidate will leverage their expertise in statistical analyses using SAS or R to manage and analyze complex datasets, contributing to the development of scientific manuscripts and grant applications. With potential for remote work and international travel, this role promises a rewarding experience in a collaborative environment focused on advancing public health initiatives.

Qualifications

• Doctoral degree in Biostatistics, Statistics, or Epidemiology required.
• Proficiency in SAS or R and experience with large datasets is essential.

Responsibilities

• Conduct biostatistical analyses of large complex longitudinal datasets.
• Develop publishable-quality tables and figures for research manuscripts.

Skills

SAS

R

Biostatistics

Statistical Analyses

Data Management

Scientific Writing

Attention to Detail

Communication Skills

Education

Doctoral Degree in Biostatistics

Doctoral Degree in Statistics

Doctoral Degree in Epidemiology

Tools

SAS

R

Job description

Postdoctoral Associate in Biostatistics/Epidemiology

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:

• Conduct biostatistical analyses of large complex longitudinal datasets
• Develop final publishable-quality tables and figures for inclusion in research manuscripts
• Write (and clearly document) SAS or R programs to clean, maintain, and analyze datasets
• Manage data-related aspects of research projects
• Assist with the development of research manuscripts
• Assist with the development of grant applications

Qualifications:

• A doctoral degree in Biostatistics, Statistics, or Epidemiology or related field is required.
• 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.)
• Excellent quantitative, technical, analytic, and applied research skills are required.
• Excellent written and communication skills, including scientific writing are required.
• Strong attention to detail, excellent time management, detail-oriented work style, and meticulous and consistent follow through on projects are required.
• Strong written and oral communication skills and ability to work both independently and collaboratively as part of a multidisciplinary research team are required.
• Knowledge of artificial intelligence (AI) models and development of AI tools with applications in disease detection/diagnosis and epidemiology is desirable.
• Familiarity with biological, medical, nutrition and/or public health research; and randomized trials and epidemiological studies desirable.
• Interest in nutrition and maternal and child health and experience with biological datasets, or high-dimensional data and knowledge in biology is preferred.

Application Materials Required:

• Curriculum Vitae
• Letter of Interest with research experience and available start date
• Sample scientific publication
• Three references (no actual letters, just names and email addresses)

Questions should be directed to Dr. Julia Finkelstein at: [e-mail].

Pay Range:
$61,008.00 - $87,000.00

Employment Assistance:

For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email [e-mail].

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 [phone], or email [e-mail].

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 to all identities and backgrounds. We encourage individuals from underrepresented and/or marginalized identities to apply.