May 3

Research Associate

first_imgBayesian modelling for child mortalityApplications are being sought for a 10-­‐12 month full-­‐timeposition with the Maternal Child Epidemiology Estimation (MCEE)team.PurposeAssist with writing code for Bayesian analyses to estimate causesof death in children in 195 countries.BackgroundMCEE (formerly CHERG) has worked extensively on estimating thedistribution of main causes of death in children less than fiveyears of age (including neonates) for countries with incomplete orno vital registration information. This work has contributed torenewed global interest and attention to child/neonatal survivalbut, most of all, MCEE results have contributed to child/neonatalhealth policy. Key policy groups and all major initiatives directedat reducing under-­‐five mortality, including Saving Newborn Lives,Roll Back Malaria, the Global Fund and others, have requestedtechnical contributions from MCEE. MCEE’s work is done in closecollaboration with the WHO Department of Health Statistics andInformation Systems as part of the Global Collaboration onMortality and Causes of Death coordinated by WHO.At the same time, MCEE work has revealed gaps and methodologicalchallenges that need to be addressed to improve the reliability andaccuracy of MCEE’s cause-­‐of-­‐death estimates. The core of MCEE’smortality estimation approach involves using multinomial models topredict cause of death distributions. The current project involvesshifting these models from a frequentist statistical framework to aBayesian framework, to facilitate the incorporation ofcountry-­‐specific random effects into the model, and to improvemodel selection. This work has the promise of being both useful andintellectually stimulating.Work to be performedThe candidate will work under the supervision of MCEE staff toperform various tasks, such as:-­‐ Implement new or modify existing code in a Bayesian framework(e.g. incorporating random effects in a multinomialcause-­‐of-­‐death model)-­‐ Assess Bayesian covariate selection methods and implementappropriate ones-­‐ Improve the efficiency of the existing algorithms-­‐ Perform additional analyses to improve the cause-­‐of-­‐deathmodel reliability/accuracyTimelineThis full-­‐time position is available immediately and willcontinue for 10-­‐12 months, with the possibility of extension.Part-­‐time hours over a longer period of time may benegotiable.Candidates should have an advanced degree in Computer Science,Statistics, Biostatistics, or similar quantitative fields. Thecandidate should have strong computational skills and knowledge ofstatistical modelling. Expertise in writing code for Bayesiananalyses, preferably using R, is essential. Experience with JAGS,STAN, or similar programs is strongly preferred.Interested candidates should email a cover letter and CV [email protected] Applications will be reviewed until the position isfilled. If you have questions about this position, please contactJamie Perin([email protected]).The Johns Hopkins University is committed to equal opportunity forits faculty, staff, and students. To that end, the university doesnot discriminate on the basis of sex, gender, marital status,pregnancy, race, color, ethnicity, national origin, age,disability, religion, sexual orientation, gender identity orexpression, veteran status or other legally protectedcharacteristic. The university is committed to providing qualifiedindividuals access to all academic and employment programs,benefits and activities on the basis of demonstrated ability,performance and merit without regard to personal factors that areirrelevant to the program involved.The successful candidate(s) for this position will be subject to apre-employment background check.If you are interested in applying for employment with The JohnsHopkins University and require special assistance or accommodationduring any part of the pre-employment process, please contact theHR Business Services Office at [email protected] For TTYusers, call via Maryland Relay or dial 711.The following additional provisions may apply depending on whichcampus you will work. Your recruiter will adviseaccordingly.During the Influenza (“the flu”) season, as a condition ofemployment, The Johns Hopkins Institutions require all employeeswho provide ongoing services to patients or work in patient care orclinical care areas to have an annual influenza vaccination orpossess an approved medical or religious exception. Failure to meetthis requirement may result in termination of employment.The pre-employment physical for positions in clinical areas,laboratories, working with research subjects, or involvingcommunity contact requires documentation of immune status againstRubella (German measles), Rubeola (Measles), Mumps, Varicella(chickenpox), Hepatitis B and documentation of having received theTdap (Tetanus, diphtheria, pertussis) vaccination. This may includedocumentation of having two (2) MMR vaccines; two (2) Varicellavaccines; or antibody status to these diseases from laboratorytesting. Blood tests for immunities to these diseases areordinarily included in the pre-employment physical exam except forthose employees who provide results of blood tests or immunizationdocumentation from their own health care providers. Anyvaccinations required for these diseases will be given at no costin our Occupational Health office.Equal Opportunity EmployerNote: Job Postings are updated daily and remain online untilfilled.EEO is the LawLearn more:https://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdfImportant legal informationhttp://hrnt.jhu.edu/legal.cfmlast_img

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Posted May 3, 2021 by admin in category "jnhjskyo

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