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
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
Knowledge and expertise with whole genome as well as whole exome sequence analysis
Solid foundation in statistical genetics principles and applications, especially population genetics
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
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