• Drive business intelligence initiatives throughout the company
  
• Develop and apply new predictive models, data mining methods, and algorithms to support a variety of Informatics projects
  
• Serve as a technical expert in data science within the broader ecosystem
  
• Collaborate with stakeholders and technical peers throughout
  
• Identify and leverage all relevant in-house, commercial, and publicly available data resources
  
• Help shape the growth of in-house data resources
  
• Communicate findings internally and externally
  

Minimum Qualifications

• Ph.D. in Data Science, Statistics, Computer Science, or a related discipline or equivalent experience with 0-2 years of experience in industry.
  
• Experience in designing and delivering business intelligence dashboards and visualizations
  
• Experience in architecting ETL pipelines
  
• Deep technical expertise in data science, including:
  
• Advanced data modeling and mining techniques including nonlinear regression and machine learning methods
  
• Math and statistics including design of experiments (doe), statistical tests, maximum likelihood estimators, etc.
  
• Multiple statistical, scripting, or programming languages (Python, R, SAS, and/or Matlab)
  
• Relational and NoSQL databases (schemas, query languages)
  
• Experience with REST APIs and JSON
  
• Data visualization and effective data communication techniques
  
• Software development best practices including agile, version control (preferably Git), and code testing
  
• Familiarity with business intelligence tools (SpotFire, Tableau, Looker)
  
• Strong written and oral communication skills, comfort with senior management interactions
  
• Positive team building and teamwork skills: innate ability to influence, lead and inspire people, within function and beyond functional/company boundaries
  

Preferred Qualifications

• 3+ years of industrial experience
  
• Basic understanding of molecular and cell biology
  
• Database design and modeling
  
• Experience in JavaScript, Node.JS, and web application development
  
• Experience with infrastructure and services for High Performance Computing in the cloud (preferably AWS), including tools for distributed computing (preferably Hadoop or similar)
  
• An established record of innovative research achievements reported in top-tier journals and/or patent applications
  

Competencies

• Commitment to excellence and innovation
  
• Flexibility, speed of learning, and adaptability in response to frequent change
  
• Scientific rigor
  
• Self-starter with a "can do" attitude
  
• Results oriented
  
• Effective communication, both written and verbal
  
• Personal and shared accountability
  
• Scientific and people leadership skills
  

Key Skills: