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.
Celgene Corporation has an opening in Summit, NJ for a Sr. Data Scientist.
Duties: A member of Celgene’s IKU (Information, Knowledge, Utilization) organization, conduct high-quality statistical and/or machine learning analyses, utilizing real world evidence (RWE) and other healthcare-related data sources to answer exploratory questions and support Celgene goals, publication plans and cross-functional internal and external RWE collaborations. 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. Develop examples, prototypes and demonstrations to help the business better understand innovative solutions. Maintain a deep scientific and analytical understanding of healthcare data, from data generation, collection, integration to its analysis and interpretation.
Requirements: Master’s degree in Biostatistics, Epidemiology, Computer Science, Informatics or Applied Mathematics, with a substantial statistical component, followed by 3 years of Data Analysis related experience.
Experience must include:
3 years with Pharmaceutical, Biotechnology, Healthcare or Health IT industry, working in environments demanding diverse data sources, such as clinical trial data, electronic health record data, insurance claims data, or disease/patient registry data; 3 years working with and analyzing structured and unstructured data, including at least 2 years with observational healthcare data analyses; 3 years, and advanced hands-on knowledge of, R and/or Python; 3 years working with SQL and relational databases; 3 years analyzing data from traditional healthcare databases (electronic medical records, claims, etc); Some experience with Hadoop platforms (e.g., Cloudera or Hortonworks) and related “big data” technologies Apache Hive/Pig, MapReduce, Impala, Spark and HPC; Some experience working in Cloud Computing environments (e.g., AWS or Azurec); Advanced knowledge of a subset of analytical approaches (machine learning, statistical analysis, predictive modeling or visual analytics); Excellent communication skills, with ability to communicate complex data analytics concept in laymen’s terms (to non-technical staff); Demonstrated record of delivering data-driven research projects, having collaboratively translating medical or business questions into data and analysis requirements, to support data-driven decision-making.
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Celgene is a global biopharmaceutical company committed to improving the lives of patients worldwide. At Celgene, we seek to deliver truly innovative and life-changing treatments for our patients.