Associate Director, Data Science

  • Celgene
  • Boudry, Switzerland
  • 13/04/2018
Full time Data Science Data Engineering Machine Learning Data Analytics Big Data Software Engineering

Job Description

Job Category: Information Technology

Celgene is a global biopharmaceutical company leading the way in medical innovation to help patients live longer, better lives. Our purpose as a company is to discover and develop therapies that will change the course of human health.  We value our passion for patients, ​quest for innovation, spirit of independence and love of challenge. With a presence in more than 70 countries, and growing - we look for talented people to grow our business, advance our science and contribute to our unique culture.

The ideal candidate will be a hands-on data scientist, quantitative epidemiologist or statistician with experience in large-scale healthcare data analysis. S/he will have experience working with a variety of data sources, such as clinical trial data, electronic health record data, insurance claims data, and disease/patient registry data. The candidate must also have a demonstrated ability to actively listen, integrate input from diverse sources, and collaboratively translate medical or business questions into data and analysis requirements and a clear path forward.

Overall responsibilities include:

  • Directly participate in multiple analytics projects
  • Collaboratively develop analysis plans based on clinical or business questions, and lead their execution through the use of existing analytic approaches or the development of novel ones.
  • Interpret data analysis results in clinical or business context, and articulate the implications of the results to the business function
  • Represent the IKU Data Sciences group and its capabilities in meetings with nontechnical peers
  • Work in a fast-paced multidisciplinary dynamic environment, and as necessary create examples, prototypes, demonstrations to help the business better understand innovative solutions
  • Collaborate with team members to meet project checkpoints and accomplish team objectives

Key competencies, skills, and attributes:

  • Advanced knowledge of a subset of analytical approaches (ex. statistics, predictive modeling, visual analytics) and the desire to continually learn and grow your analytical skillset
  • Ability to work with structured and unstructured data
  • Excellent communication skills with an ability to communicate complex matters in laymen’s terms
  • Ability to multi-task and handle numerous complex relationships at a time
  • Demonstrated ability to engage in effective joint problem-solving to address key challenges

Education and Experience Guidelines:

  • 1+ years experience in pharmaceutical / biotechnology / healthcare / health IT industry
  • Masters degree, or equivalent experience, in Biostatistics, Epidemiology, Computer Science, Statistics, Mathematics, or related field with a substantial statistical component
  • At least 1 year experience in observational healthcare data analyses

Technical Experience Guidelines:

  • Advanced hands-on knowledge of R and/or Python
  • Working knowledge of SQL and relational databases
  • Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred
  • Experience with Hadoop platforms (ex Cloudera, Hortonworks) and related “big data” technologies is preferred

Experience working in Cloud Computing environments (ex AWS, Azure, etc) is preferred

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