BACKGROUND

RESPONSIBILITIES

• Collaboratively create scoring functions that leverage all relevant evidence to prioritize targets, proteins, and pathways in the context of a disease.
• Prototype pipelines that rigorously integrate multimodal analysis results to create links between biological entities like variants, genes, proteins, cell types, pathways, and diseases.
• Collaborate to design and oversee construction of tools that help our scientific community interpret biological relevance of analysis results.
• Oversee a team of contract scientific programmers to implement production quality software solutions for prototype methods
• Collaborate with therapeutic area scientists to understand and prioritize the development of the most relevant methods.
• Partner with gRED's computational communities in the design and delivery of methodological solutions.
• Maintain state-of-the-art expertise in newly developed disease genetics, functional genomics, and statistical genetics methods and technologies.

REQUIREMENTS

• PhD level (post-doc preferred) biologically-oriented computational scientist who has an interest in software engineering and is ready for a career change.
• Has direct experience engaging in methods development, as evidenced by scientific publications leveraging these methods
• Has an outstanding record in the delivery of analyses, open source contributions, or first authorship peer reviewed papers.

PREFERENCES

LOCATION

COMPENSATION

HOW TO APPLY

POLICY