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  • Statistical Geneticist
Date : June 21, 2020
Location : No 17, Sybil Iroche Street, Lekki Phase1 Lagos, Nigeria

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.


Data/Scientific Team


Full-Time, Exempt

Reports to

Chief Data/ Scientific Officer


Lagos, NG; London, UK; or

Washington, DC, USA


Essential Functions

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

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


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

Apply Here: ——> 

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