Position Summary
We seek an energetic individual with doctoral-level academic training in Environmental epigenomics or genomics, environmental biostatistics, or related disciplines who has an interest in working at the intersection of environmental epidemiology, multi-omics, and maternal and child health! This individual will have the opportunity to work with data from multiple cohorts for projects including integration of multi-generational -omics data in relation to prenatal and early childhood environmental exposures on maternal and child health outcomes (with a focus on cardiometabolic health and/or respiratory health). The selected candidate will work in a multidisciplinary collaborative environment and gain training in epigenomics, multi-omics and environmental epidemiology. The position will focus on answering questions related to the biological impact of environmental exposures on health outcomes and the candidate will be expected to analyze complex epidemiologic datasets and utilize an array of software packages to conduct high dimensional mediation analyses, multi-omic analyses, and more. The candidate will also be expected to interpretate findings and contribute to manuscript writing and grant proposal writing for new interdisciplinary research studies.
The selected candidate will join a dynamic and growing team and will have access to a vibrant research community within the new School of Public Health at WashU in St. Louis, MO, including epidemiologists, data scientists, clinicians and environmental engineers and will be a part of the School of Public Health’s development and future. The opportunity for involvement with the School’s Innovation Research Networks (IRNs), which are at the heart of the School’s research mission, is a key unique feature of this position. The primary goal of the Planetary Health IRN is to understand how changes to the environment affect human health and find sustainable ways for people to live healthier lives while maintaining the health of the planet that supports us all. There is also the opportunity to contribute to new and emerging cross university research initiatives, including work in collaboration with the University-wide Center for the Environment as well as interdisciplinary projects with the WashU School of Medicine.
Onsite is preferred, but remote or hybrid position is possible.
Job Description
Primary Duties & Responsibilities:
Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.
For information on the University-wide Center for the Environment, please visit https://environment.washu.edu/.
Trains under the supervision of a faculty mentor including (but not limited to):
- Following instructions and discussions with the Principal Investigator, designs and executes research protocols for analysis of epidemiological data and large scale ‘omics data such as epigenomics, transcriptomics, miRNA, metabolomics, epigenetic aging.
- Analyzes data and writes interpretative reports. Verifies the correctness of the data and code. Organizes data and contributes to submission of code and datasets to approved archives.
- Documents research results and takes a leading role in preparing and submitting papers based on research work for publication and presentation at conferences.
- Assists with grant preparation and reporting as needed.
- Under supervision of Principal Investigator, assists with student mentoring including MPH and undergraduate students.
- Performs other duties as assigned.
Salary Range:
Base pay is commensurate with experience.
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
Preferred Qualifications:
- Doctorate degree in environmental or genetic epidemiology, environmental biostatistics or a related field.
- Solid proficiency in biostatistical and epidemiologic methods for environmental ‘omics and related software packages, including R, SAS, Python or equivalent.
- Previous experience analyzing large DNA methylation datasets, bioinformatics, and use of Bioconductor is desired.
Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Not Applicable
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
Washington University is dedicated to building a community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.