54gene is Recruiting For Statistical Geneticist
Lagos, NG
2d ago
source : Mrjobsnaija

Job Description

  • The Statistical Geneticist will have an opportunity to make his or her mark within a growing scientific team within 54gene.
  • S / he will support the research discovery and development activities to transform human genetics and genomics discoveries to therapeutic hypotheses, and effectively communicate results to impact our emerging pipeline.
  • The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment and will be responsible for developing and employing rigorous statistical and computational approaches.
  • S / he will demonstrate experience in genotype-phenotype associations as well as engage fellow scientists and project teams to leverage genomics data in achieving project objectives.
  • Roles and Responsibilities

  • Apply and develop robust statistical and computational approaches to analyze whole-exome and whole-genome sequence data in combination with phenotypic or other genomic data to enable disease / target / biomarker identification and evaluation, exploring mechanism of action, and identification of genetic causal links to disease or subtypes of disease
  • Evaluate and implement statistical methods to integrate, summarize and report genetic, genomic, and other omics data, examples include WGS, WES, GWAS, and RNA-seq
  • Understand strategies and methods for genotype imputation, haplotyping, relationship inference and / or polygenic risk score estimation
  • Work collaboratively within a diverse team, and provide learning opportunities for other staff, if and when applicable
  • Qualifications

    Knowledge, Skills & Abilities :

  • Knowledge of genome-wide analyses and approaches, including quality control options for genomic data, approaches for association analysis in the presence of relatedness or population structure, and approaches for burden-based analyses
  • Expertise with modern cluster and cloud computing environments and with statistical analysis software (R environment for statistical computing, STATA) and human genetics analysis tools (METAL, GCTA, PLINK or similar)
  • Ability to learn in a fast-paced work environment
  • Ability to coordinate and manage tasks and processes with minimal supervision
  • Strong sense of responsibility with keen attention to details
  • Good communication skills
  • Education & Certifications :

  • M.S or PhD in Biostatistics, Statistical Genetics, Computational Biology, or related field
  • 3+ years’ experience in biostatistics or statistical analysis of DNA sequencing data
  • Experience :

  • Knowledge and expertise with whole genome as well as whole exome sequence analysis
  • Solid foundation in statistical genetics principles and applications, especially population genetics
  • Demonstrated experience in statistical programming using R and other programming languages (e.g. Python, C / C++, Javascript) on large datasets
  • Experience designing and analyzing validation experiments for laboratory assays
  • Effective at communicating insights and presenting concepts to a diverse audience
  • Ability to work with multidisciplinary teams; Experience collaborating with lab scientists on data generation and analysis
  • Ability to annotate and explore potential functions of identified variants with publicly available functional datasets or fine-mapping tools
  • Knowledge of rare variant validation using multiple technologies and publicly available resources
  • Experience in genome-wide (GWAS) and phenome-wide association studies, especially as they relate to implications in large multi-ethnic cohorts and analysis
  • Other :

  • Authorization to work in the Nigeria, the United States, and / or the United Kingdom
  • Must live in one of the locations listed above
  • Valid international travel documentation
  • Occasional domestic and international travel may be required
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