Associate Principal Computational Biologist, Neuroscience

Recursionpharmaceuticals

New York, New York, US
Base: $200,600 to $253,100; bonus/equity: eligible...
On-site
High-dimensional omics data analysis
Integrate diverse biological datasets
Neuroscience disease biology
As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities

Job Summary

  • As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities.
  • You will integrate layers of Recursion platform data (phenomics, transcriptomics, proteomics, etc) to validate the link between target and disease biology and to propose targets and early programs in novel areas of neuroscience.
  • Our group is a bold, agile, diverse collective of computational drug discovery scientists and data scientists deeply focused on the singular goal of bringing new therapeutics into the clinic at an accelerated pace.

Matching Summary

As a key member of Recursion's partnership-facing data science team, you will be at the forefront of reimagining drug discovery from first principles using Recursion’s massive data and compute capabilities.

Salary

Base: $200,600 to $253,100; Bonus/Equity: eligible for annual bonus and equity compensation; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • high-dimensional omics data analysis
  • integrate diverse biological datasets
  • neuroscience disease biology
  • computational drug discovery
  • Python or R programming

Nice-to-have

  • patient genetics understanding
  • neuroscience clinical trial biomarkers
  • client-facing team experience
  • bold, agile, diverse collective

Key Requirements

  • PhD in relevant field with 5+ years biotech/pharma experience OR MS
  • 5+ years of experience in biotech or pharma industry
  • Experience with probabilistic, statistical, or machine learning techniques
  • Deep expertise in omics data modalities
  • Exceptional data visualization skills
  • Excellent cross-functional communication skills

Work Rights

Not specified

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