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Scientist, Laboratory of Women's Health & Genetics (GIS)

A*STAR RESEARCH ENTITIES

Pasir Panjang

On-site

MYR 80,000 - 120,000

Full time

5 days ago
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Job summary

A leading research organization located in Negeri Sembilan, Malaysia, seeks a skilled researcher to conduct Mendelian Randomization analyses and develop R workflows for genomic data analysis. The ideal candidate holds a PhD in a related field and has experience with large genomic datasets like GWAS and WGS. You'll collaborate with multidisciplinary teams, publish findings, and contribute to groundbreaking research in genetic epidemiology.

Qualifications

  • Proficiency in Mendelian Randomization methods.
  • Experience with large genomic datasets, particularly GWAS, WGS, and PRS data.
  • Strong problem-solving and data visualization skills.

Responsibilities

  • Conduct Mendelian Randomization analyses for disease risk.
  • Utilize and develop data analysis workflows using R.
  • Collaborate with multidisciplinary research teams.

Skills

Mendelian Randomization methods
R programming
Statistical modeling
Data visualization
Genomic data analysis
Machine learning approaches in genomics
Survival analysis
Analytical skills

Education

PhD in Genetic Epidemiology or related field

Tools

R packages (e.g., TwoSampleMR, survival, tidyverse, Bioconductor)
DNAnexus

Job description

Key Responsibilities:

  • Conduct Mendelian Randomization analyses to infer causal relationships between genetic variants and disease risk.
  • Utilize and develop workflows using R for data analysis, including statistical modeling and visualization.
  • Work with large-scale genomic datasets, including genome-wide association studies (GWAS), whole-genome sequencing (WGS), and polygenic risk scores (PRS).
  • Perform survival analyses to examine genetic and epidemiological predictors of disease outcomes.
  • Utilize DNAnexus or other cloud-based platforms for genomic data processing, storage, and computational workflows.
  • Collaborate with multidisciplinary teams, including biostatisticians, clinicians, and geneticists, to interpret findings and drive translational insights.
  • Publish findings in peer-reviewed journals and present at scientific conferences.

Job Requirements:

  • A PhD (or equivalent) in Genetic Epidemiology, Bioinformatics, Biostatistics, Computational Biology, or a related field. Strong proficiency in Mendelian Randomization methods, including familiarity with MR-Base or other relevant tools.
  • Expertise in R programming and experience with statistical packages (e.g., TwoSampleMR, survival, tidyverse, Bioconductor).
  • Experience with handling and analyzing large genomic datasets, particularly GWAS, WGS, and PRS data.
  • Experience with multi-ancestry genomic studies or integrating different omics datasets.
  • Knowledge of genome-wide imputation methods and quality control procedures for genomic data.
  • Exposure to machine learning approaches in genomics.
  • Knowledge of survival analysis techniques (e.g., Kaplan-Meier, Cox proportional hazards models).
  • Familiarity with DNAnexus or other cloud-based genomic analysis platforms is highly desirable.
  • Strong analytical, problem-solving, and data visualization skills.
  • Ability to work independently and collaboratively in a multidisciplinary research environment.
  • Excellent written and verbal communication skills, with a track record of scientific publications.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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