Open date: December 4th, 2019
Last review date: Thursday, Dec 19, 2019 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Jul 10, 2020 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Location: University of California, Berkeley, CA
Salary: Commensurate with experience
Target Start date: January 2020
The Department of Environmental Health Sciences at the University of California, Berkeley seeks applications for a Postdoctoral Scholar, in the area of data science and environmental molecular epidemiology, at 100% percent time with an expected start date in January 2020.
The UC Berkeley Superfund Research Program
(SRP; https://superfund.berkeley.edu/) comprises multiple biomedical and engineering projects that investigate the toxicity and remediation of Superfund chemicals. We have generated a variety of datasets from different sources. To ensure these data are Findable, Accessible, Interoperable, and Reusable (FAIR), we are creating standardized protocols and associated workflows to meet the needs of each project to upload, store, annotate and preserve current and future SRP datasets and metadata for its long-term use and reuse. The Postdoctoral Scholar will apply novel machine learning, Artificial Intelligence (AI) algorithms and targeted estimation methods to existing SRP data with the guidance of Drs. Martyn Smith and Andres Cardenas. The candidate should have R statistical software experience and expertise in executing and interpreting machine learning algorithms and using epidemiological data. Projects include analyses of existing large scale -omics data such as genome-wide DNA methylation, transcriptomics and epigenetic aging from multiple human cohorts and studies. The candidate will have access to a vibrant research community at UC Berkeley, data science experts, methodologists and join a dynamic team of SRP trainees. The scholar will work in a multidisciplinary collaborative environment.
During the appointment period, the successful candidate will be expected to:
• Apply novel machine learning, artificial intelligence (AI) algorithms and targeted estimation methods to existing SRP data with the guidance of Drs. Martyn Smith and Andres Cardenas.
• Projects include analyses of existing large scale -omics data such as genome-wide DNA methylation, transcriptomics and epigenetic aging from multiple human studies.
• Expected to report results at scientific conferences and disseminate findings in publications.
Basic qualifications (at time of application):
PhD (or equivalent international degree), or enrolled in a PhD (or equivalent international degree) granting program at the time of application.
Additional qualifications (by start date):
PhD (or equivalent international degree)
• PhD in one of a variety of fields, including but not limited to epidemiology,
bio-statistics, or environmental health
• Experience using R statistical software
• Experience with epidemiological analyses and application of machine learning,
and artificial intelligence methods
• Previous experience with analyses of large-scale DNA methylation data is
desirable, bioinformatics and using Bioconductor
• Proven record of scientific publications
This position is full-time for one-year term with the possibility of renewal, contingent on performance and availability of funding. Salary is commensurate with experience. The total duration of an individual's postdoctoral service may not exceed five years including postdoctoral service at other institutions.
To apply, please go to the following link: http://aprecruit.berkeley.edu/apply/JPF02429
The position will remain open until filled.
Please direct questions to Dr. Andres Cardenas at firstname.lastname@example.org
Letters of reference may be solicited for finalists. We will seek your permission before contacting your references. All letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (http://apo.berkeley.edu/evalltr.html) prior to submitting their letters.
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.
UC Postdocs are exclusively represented by the United Auto Workers Local (5810).
Diversity, equity, and inclusion are core values at UC Berkeley and The School of Public Health. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. Successful candidates for our academic positions will demonstrate evidence of a commitment to advancing equity and inclusion.
Curriculum Vitae - Your current CV
Cover Letter - Cover letter addressed to Dr. Andres Cardenas
Misc / Additional - Candidate should highlight their published research relevant to the position in their Curriculum vitae and cover letter.
- 3 required (contact information only)