Data Scientist – Research Analytics

The Research Analytics team is seeking a highly motivated and experienced individual for a rapidly growing multi-disciplinary team. The candidate will be instrumental in the analysis and interpretation of high-throughput molecular data. The ideal candidate should have solid Data Sciences background and be strongly goal oriented with a focus on real world impact.


  • Conduct statistical and bioinformatics analyses of high-throughput molecular data
  • Interact with internal and external collaborators to understand, design and develop the requested solutions
  • Develop and execute data analysis protocols to support company’s discovery pipeline
  • Present scientific results internally and externally
  • Prepare and submit scientific manuscripts for review and publication


  • Requires a PhD in Applied Math, Computer Sciences, Engineering or related field with 0-3 years of industry experience; or a MS with a minimum of 7 years of industry experience
  • Proficiency in R is required. Experience in Bioconductor is preferred
  • Experience in Linux and Big Data technologies
  • Experience in Scala, C, Python and MySQL is a plus
  • Proven ability to find creative and practical solutions to complex problems
  • Proven experience in applying Data Science methodologies to extract, process and transform data from multiple sources
  • Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoid miss-interpretations and value the conclusions
  • Proven ability to demonstrate attention to detail and record keeping
  • Quick learner, extremely flexible and adaptable to the needs of internal collaborators in a dynamic environment
  • Ability to efficiently work in multiple projects
  • Excellent communication and interpersonal skills
  • Must be able to work in team-oriented environment