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Clinical Research Postdoctoral Fellow (LEE1701.17)
Post Date:Jan 26, 2017Type:Part time
Start Date:- n/a -Salary:DOE
Location: United States   California - Palo Alto Job Reference:LEE1701.17

The Palo Alto Veterans Institute for Research (PAVIR) is seeking a Clinical Research Postdoctoral Fellow to analyze NIH-supported projects assessing androgen-estrogen balance and cardiometabolic biomarkers using molecular and genetic epidemiologic longitudinal research-based data from multiple large cohorts of unrelated individuals and of families.

The Postdoc will also have the opportunity to work with very large electronic health records (EHR) such as the VA’s (longest running EHR of about 6-7 million people per year) and administrative databases. Methods will include evaluating trajectories of hormonal and metabolic biomarker alterations (and gender and racial/ethnic differences) on progression of and responses to treatments for cardiovascular diseases, glycemic dysregulation and diabetes, cancers, fractures, and cognitive decline.

The Postdoc will coordinate with collaborating labs/investigators, prepare manuscripts for publication for ongoing NIH-supported and VA-supported studies, and contribute to novel projects/proposals.

The Postdoc will be mentored to serve as Co-Investigator on proposals, and obtain funding towards becoming an independent investigator.

Dr. Lee is an endocrinologist, epidemiologist, and also site co-director of BD-STEP (Big Data Scientist Training Enhancement Program), a collaborative between National Cancer Institute and Veterans Health Administration, which trains postdocs/graduate students to be big data scientists in the use of EHR-data to impact cancer care.

This is a regular, full time (40 hours/week), Exempt position.

PAVIR is a nonprofit foundation affiliated with the Veterans Affairs Palo Alto Health Care System (VAPAHCS). As a condition of employment, all PAVIR employees are required to have an approved Without Compensation (WOC) appointment with VAPAHCS and complete a background check before they can commence work.


•        Work with and analyze data from relatively large longitudinal datasets with repeated measures of biomarkers (also genetic, epigenetic, etc) covariates over many years of follow-up; conduct data quality assessments (methodology and validation).
•        Prepare manuscripts for publication and study grant proposals for submission, present work at conferences and talks.
•        Coordinate with collaborating hormone/biomarker labs that perform measurements of hormones from frozen bio-specimens.
•        Work in collaboration with study investigators locally and nationally.



•        Ph.D. in Biostatistics, Statistics, Epidemiology, Medical/Bio Informatics, Genetic or molecular epidemiology, Health Services/Outcomes Research, or in a related quantitative field.

•        Two years or more experience working in population health sciences research.
•        One year or more working with large longitudinal datasets/databases.
•        Understanding of medicine or health field is highly desired.

Knowledge / Skills / Abilities:
•        Proficiency in SAS (preferred statistical software) and SQL with data management skills is highly desired. R and UNIX operating systems preferable too. Genetic epidemiology software and/or Python or other would be advantageous, Markov modeling, etc.
•        Experienced in a variety of research techniques/methods for longitudinal with repeated measures of exposures (propensity score matching, IPBW, machine learning, survival analyses), health services research, and genetic epidemiological research and follow-up data collection.
•        Familiarity with VA EHR-based data (Corporate Data Warehouse) or other EHR-based databases, claims data would be desirable;
•        Attention to detail and good organizational skills are essential;
•        Good computer, writing, and speaking communication skills;
•        Ability to apply knowledge of development of new methods or procedures to the coordination of the study/program;
•        Ability to use library resources for information on scientific/applied aspects of study.
•        Demonstrated ability to work independently as well as a contributor in a collaborative team environment

Environmental Conditions / Physical Demands:

Physical: Sitting in front of a computer for potentially long periods of time, repetitive movement, etc.
Environmental: Exposure to an office environment.

PAVIR engages in nonprofit medical research and works with sponsors and the Veterans Affairs Palo Alto Health Care System (VAPAHCS) in administering funds for conducting research to find new and improved ways to combat human disease and help people with disabilities. Please refer to our website for additional information: www.pavir.org

PAVIR is pleased to be an Equal Opportunity Employer for Minorities, Females, Protected Veterans, and Qualified Individuals with a Disability. If you need special assistance or an accommodation to apply for a posted position, please contact our Human Resources department.

How to Apply:
Please apply online for job code ‘LEE1701.17’ via our Jobs page (http://pavir.org/careers/jobs/) and include your cover letter and your resume/curriculum vitae as ONE document.  

Contact Details / Apply for this Job

URL: http://pavir.org/careers/jobs/

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