Lead Data Scientist

7 days ago

London, Greater London, United Kingdom Optima Partners Full time
About the Role

We are seeking an exceptional Lead Data Scientist to join our team at Optima Partners, a leading advanced data and business consultancy. As part of our expansion, we are dedicated to advancing our capabilities in data science and statistical genetics.

Key Responsibilities
  • 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.
  • Design and conduct advanced statistical analyses of large-scale genetic and genomic datasets.
  • 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.
  • Apply statistical genetics methodologies such as genome-wide association studies (GWAS), meta-analysis, polygenic risk scoring, and heritability.
  • Ensure robust data processing pipelines and workflows for handling large-scale genomic data.
Data Management & Compliance
  • Ensure the integrity, security, and confidentiality of genetic data in compliance with relevant regulations.
  • Implement and maintain high standards for data quality and reproducibility in research findings.
Requirements
  • PhD (or Master's degree with extensive experience) in a 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.
  • 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).
  • Proven track record of accomplishment of conducting and publishing high-quality research in statistical genetics.
  • Effective communication skills with the ability to convey complex scientific concepts to a diverse audience.

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