Associate Principal Computational Biologist, Neuroscience

• Deliver biological insights on therapeutic candidates and disease biology from the analysis of high-dimensional datasets to support clinical development planning
• Evaluate biological and molecular evidence for therapeutic hypotheses to accelerate drug program progression into the clinic
• Synthesize diverse datasets to generate and evaluate hypotheses for drug discovery, biomarker development, mechanism of action and target population identification
• Present data analysis to decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients

This role creates positive change by reimagining drug discovery to bring life-changing therapies to patients at unprecedented speed, particularly in neuroscience diseases, through the analysis of massive biological datasets.

• PhD in a relevant field (computational biology, systems biology, bioinformatics, neuroscience, etc.) with a very strong computational focus and 5+ years of experience in biotech or pharma industry OR MS in a relevant field
• Experience applying computational methods to analyze and integrate matched human clinical and molecular data in a high-level programming language such as Python or R
• Deep expertise in the analysis and data integration of one or more 'omics data modalities and/or human clinical data
• Exceptional data visualization skills and excellent cross-functional communication skills

Estimated annual base range of $200,600 to $238,400, plus eligibility for annual bonus and equity compensation, and a comprehensive benefits package. The role is office-based hybrid with at least 50% in-office time.