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Full-Time

Vesalius : Statistical Geneticist

Confirmed live in the last 24 hours

Flagship Pioneering

Flagship Pioneering

501-1,000 employees

Biotechnology firm creating health and sustainability solutions

Venture Capital

Expert

Cambridge, MA, USA

Category
Computational Biology
Biology & Biotech
Required Skills
Python
R
Data Structures & Algorithms
Requirements
  • PhD in statistical genetics, genetic epidemiology, biostatistics, or related field
  • Strong foundational knowledge of quantitative genetics (GWAS, QTL mapping, heritability estimation, etc.), population genetics, and applied statistics
  • Demonstrated experience applying post-GWAS analyses to predict causal mechanisms underlying disease loci (fine mapping, colocalization, functional enrichment, etc.)
  • Experience integrating GWAS data with human genomic data (RNA-seq, ATAC-seq, ChIP-seq, etc.) a plus
  • Demonstrated proficiency in a relevant programming language (R, Python, etc.)
  • Experience developing novel models, algorithms, or software implementations a plus
  • Excellent communication and presentation skills to both technical and non-technical audiences
  • Demonstrated ability to work in a dynamic environment as a team player with a strong work ethic.
  • Demonstrated ability to work in a dynamic environment with a sense of urgency and creativity and focus on deliverables.
  • Team player with a strong work ethic, able to work both independently and collaboratively
  • Continuously learns and adapts quickly to new information
  • Authentic, proactively appreciative of different points of view, backgrounds and perspectives
Responsibilities
  • Design and leverage cloud-scale analysis pipelines to integrate human genetic data, internally generated genomic data, and externally generated genomic data to predict mechanisms underlying complex diseases and nominate novel drug targets
  • Collaborate with computational biologists and wet-lab biologists to validate predicted mechanisms
  • Collaborate with biomedical informaticists to connect predicted mechanisms to patient subpopulations
  • Collaborate with software engineers and data engineers to acquire, organize, and efficiently query human genetic data
  • Maintain awareness of emerging methods in statistical genetics and computational biology
  • Prepare written and oral presentation of results to the team

Flagship Pioneering fosters a culture of groundbreaking advancements in biotechnology, emphasizing an ecosystem approach that synergizes human health and sustainability. Their business model not only focuses on creating transformative products but also incubates leading companies like Moderna and Indigo Agriculture, positioning them at the forefront of scientific innovation and industry leadership. This approach offers employees a unique opportunity to be part of a pioneering team that drives real-world impacts across multiple sectors.

Company Stage

N/A

Total Funding

$6.4B

Headquarters

Cambridge, Massachusetts

Founded

2000