Lead Data Scientist in Statistical Genetics

2 weeks ago

London, Greater London, United Kingdom Lifelancer Full time

About Optima Partners

Optima Partners is a leading professional services firm experiencing rapid growth and innovation. We are dedicated to advancing our capabilities in data science and statistical genetics, seeking exceptional talent to contribute to cutting-edge solutions that enhance our services.

We Are Seeking: A Lead Data Scientist Specializing in Statistical Genetics or Bioinformatics

This pivotal role will drive our genetic research initiatives. You'll collaborate with cross-functional teams to integrate genetic data insights into broader business strategies, providing thought leadership in the application of statistical genetics to solve complex biological and medical problems.

Key Responsibilities:
  • Strategic Leadership:
    • Lead the development and execution of 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 methodologies 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 randomization.
    • 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 & Reporting:
    • Communicate complex statistical genetic concepts and findings to non-technical stakeholders.
    • Collaborate effectively with engineering and product teams to achieve common understanding of needs and requirements.
    • Prepare and present scientific publications, reports, and presentations to both internal and external audiences.
Skills & Experience:
  • Advanced degree (Master's or Ph.D.) in Bioinformatics, Computational Biology, Statistics, Genetics, or a related field.
  • Proven experience in applying statistical genetics methodologies to real-world problems.
  • Strong programming skills in languages such as R, Python, or Perl.
  • Experience with large-scale genomic data analysis and visualization tools.
  • Excellent communication, collaboration, and presentation skills.

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