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Senior Lead Health Data Scientist
2 months ago
Job Title: Senior Lead Health Data Scientist
Job Summary:
Lifelancer, a leading talent hiring platform in Life Sciences, Pharma, and IT, is seeking an exceptional Senior Lead Health Data Scientist to join our team. As a key member of our data science team, you will play a pivotal role in driving our genetic research initiatives and contributing to cutting-edge solutions that enhance our services.
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 and Development:
- Design and conduct advanced statistical analyses of large-scale genetic and genomic datasets.
- Ability to 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:
Required:
- Apply statistical genetics methodologies such as genome-wide association studies (GWAS), meta-analysis, polygenic risk scoring, and heritability.
- Apply genetics causal inference methodologies such as fine-mapping, 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.
Preferred:
- Develop statistically grounded methodologies to arrive at practical solutions.
- 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.
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. UK Biobank, 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.
