Research Fellow, Biostatistics, Sics
2 weeks ago
Research Fellow - Bioinformatics / Molecular Epidemiology - Perinatal and Child Health and Development
**Job Description**:
The cohorts represent world-class efforts in deep pheno
- and geno-typing, with available measures including: clinical characteristics; sociodemographics and spatiotemporal data; parenting and child behaviors; child neurodevelopmental assessment; state-of-the-art brain and body imaging; and numerous -omics (metabolome; (epi)genome; transcriptome; microbiome). A large biorepository (e.g. hair, saliva, urine, blood) has been formed. Details on available data and samples for GUSTO/S-PRESTO can be found at: gustodatavault.sg
The Fellow will work closely with the PI to develop research based on two competitively-funded projects:
Early work on this has been published in Huang, et al. Nature Communications. 12: 5613. 2021. The Fellow may contribute to further developing outlined approaches including methods for negative controls for unmeasured confounding, eQTLs, causal mediation, etc.
This work will contribute to a new consortium on placental transcriptomics that includes one of the largest multi-ethnic samples of placental RNAseq (N ~600) across several international cohorts.
2.The relationships between paternal pre
- and perinatal factors on pregnancy and offspring health.
Omics data (triad (maternal, paternal, child) genomics, epigenomics, and placental RNAseq) will be used to narrow down on windows of paternal influence in the context of supporting potential interventions: e.g. pre-conception, maternal support in pregnancy, postnatal caretaking behaviors
This work will support an interdisciplinary and international translational science team
The Fellow will not have teaching responsibilities and will be expected only to conduct research and knowledge dissemination activities (i.e. data analyses, manuscript writing, grant writing, conference presentations, lectures, workshops, scientific community engagement, etc.).
Opportunities for further training, mentorship, and collaboration, including out-placement with a data science industry partner may be possible. Incumbent will have access to a highly interdisciplinary local research environment at SICS; A*STAR; Duke-NUS; NUS School of Public Health; NUS School of Medicine; NTU, etc. with the goal of supporting the incumbent’s long-term career goals. SICS is a dynamic working environment with dozens of postdoctoral peers working in such diverse domains as eating behaviors, neurodevelopment, allergy, growth and metabolism, parenting, -omics, brain and body imaging, and oral health.
Job Requirements
Qualification & Field of Study
PhD in quantitative biomedical discipline e.g. Epidemiology, Biostatistics, Statistics, Bioinformatics, with experience in human cohort studies and multi-omics.
Min. Years of Experience
3 years of relevant research, including concurrent with doctorate
Other Requirements (e.g. Skills, Competencies)
**Required**:
Proficiency in statistical programming languages (R, Stata, Python)
Strong knowledge of biostatistics and bioinformatics
Strong data and analytic visualization skills
Knowledge of molecular epidemiologic principles including some familiarity with data collection methods and laboratory assays
Knowledge of epidemiologic and longitudinal research designs
Organized, detail oriented, able to communicate scientific concepts clearly
**Preferred**:
Knowledge of genetics, -omics, and general physiology a plus
Commitment to transparent and reproducible research
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