Senior Statistical Genetics Expert

1 week ago

London, Greater London, United Kingdom Lifelancer Ltd Full time
Job Description

Lifelancer Ltd is a leading professional services firm dedicated to advancing our capabilities in data science and statistical genetics. We are seeking an exceptional Lead Data Scientist specialising in Statistical Genetics or bioinformatics to drive our genetic research initiatives and contribute to cutting-edge solutions that enhance our services.

Key Responsibilities
  • Strategic Leadership
    • Develop and execute data science strategies focused on statistical genetics, bioinformatics, and computational biology.
    • Collaborate with cross-functional teams to integrate genetic data insights into broader business strategies.
    • Provide thought leadership in the application of statistical genetics to solve complex biological and medical problems.
  • Research Development
    • Design and conduct advanced statistical analyses of large-scale genetic and genomic datasets.
    • Interpret results and find tangible links between outcomes and methodology applied.
    • Develop and validate predictive models to understand genetic contributions to complex traits and diseases.
    • Stay abreast of the latest advancements in statistical genetics and bioinformatics, incorporating relevant techniques into ongoing projects.
  • Technical Expertise
    • Apply statistical genetics methodologies such as genome-wide association studies (GWAS), meta-analysis, polygenic risk scoring, heritability.
    • Apply genetics causal inference methodologies such as finemapping, colocalization, and Mendelian randomisation.
    • Scientifically support ideation, design, development, and maintenance of large-scale pipelines and workflows.
    • Ensure robust data processing pipelines and workflows for handling large-scale genomic data.
    • Familiarity with target validation approaches such as ontology pathway enrichment, gene and protein annotations, disease-phenotype associations.
  • Communication and Reporting
    • Communicate complex statistical genetic concepts and findings to non-technical stakeholders.
    • Communicate and align with engineering and product teams and work towards achieving common understanding of needs and requirements.
    • Prepare and present scientific publications, reports, and presentations to both internal and external audiences.
  • Skills and Experience
    • PhD (or Masters degree with extensive experience) in quantitative discipline such as Statistical Genetics, Bioinformatics, Computational Biology, or a related field.
    • Minimum of 5 years of experience (for Lead position) or at least 3 years of experience (for Senior position) in statistical genetics or a closely related discipline.
    • Strong programming skills in languages such as R, Python, and experience with relevant bioinformatics tools and databases.
    • Extensive experience with large-scale genomic datasets (e.g., Open Target Genetics, GWAS-/eQTL-Cat) and biobanks (e.g., UKBiobank, FinnGen).
    • Experience in target validation procedures such as variant annotations (VEP), GO enrichment, pathway enrichment, PPIs.
    • Experience in utilizing and understanding of on-prem and/or cloud high-performance computing environments.
    • Experience working with at least one cloud platform (Azure, GCP, Amazon AWS).
    • Experience working with bioinformatics tools CLI/APIs (e.g. PLINK, bcftools, GATK, etc.).
    • Proven track record of accomplishment of conducting and publishing high-quality research in statistical genetics.
    • Excellent problem-solving skills and the ability to work independently and as part of a team.
    • Effective communication skills with the ability to convey complex scientific concepts to a diverse audience.

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