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Chief Data Scientist

Job Code : VIT-2018-DB-203
Posted on : October 1, 2018

Job Location : New Jersey
Industry : Healthcare/Lifesciences
Discipline : Product Development/Product Consulting

Brief Description:

This opportunity is for a Chief Data Scientist who will lead the creation of new data sciences capabilities for Vitrana’s integrated analytics platform for Healthcare and Life Sciences Platform.

Detailed Description:

Responsibilities of this Profile includes:

  • Working with VITRANA business units to identify and deliver results on high-impact projects leveraging Big Data Analytics and Machine Learning
  • Work closely with internal and external stakeholders in applying Data Science skills to important business problems, frame problem definition and potential solutions specifically in Life Sciences Domain.
  • Development and Design of the departmental vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data sciences capabilities.
  • Implementation of AI/ML based technologies for Case Intake Automation
  • Implementation of Machine Learning algorithms to do automatic Product Labeling and Semantic Search of Drug-AE relationships
  • Design and Development of NLP Pipelines to consume data from Unstructured sources to enable Data-Driven Decision Support Systems in Life Sciences
  • Implementation of AI-based Scoring of Case Narratives to determine the quality and accuracy.
  • Advocate the power of Data Science concepts and working with cross-functional teams to create actionable insight for customer business lines
  • Identify relevant skill and knowledge gaps needed to solve business problems and will develop training programs within VITRANA to close these gaps while providing hands-on experience solving major healthcare and clinical development problems
  • Responsible for maintaining knowledge of Pharmacovigilance Regulatory Requirements, assessing the impact of any changes on Vitrana Proprietary Products & Oracle Argus Safety.

Job Requirements:

  • Minimum 8 years of continuous and latest experience in data analytics, management, statistical analysis, quantitative analytics, and/or forecasting/predictive analytics.
  • Minimum 2 years of applying Machine Learning using distributed systems and more specifically using Spark libraries.
  • Minimum 2 years of experience with statistical tools/packages, more specifically with Python
  • Strong programming skills to handle data in at least 2 of the following tools (Java, Scala, Python, SQL)
  • AWS services knowledge to define data processing and governance pipeline using S3, SQS, SNS, EC2, Lambda, EMR
  • Cloud based big data and analytics applications experience
  • Experience in handling large data sets for Life Sciences and Healthcare Industry
  • Experience in handling large data sets for PV/Clinical Research/Development Analytics
  • Experience with Business Intelligence tools such as Tableau
  • Experience with Big Data technologies like Hadoop, Hive, Spark, H2O and others
  • Have customer facing experience and excellent presentation and communication skills

Educational Qualification:

Bachelors of Sciences/Bachelors of Engineering (Electronics, Electrical, Mechanical, Computer Science, Biotechnology)

To apply for the above position, please send your word resumes to by specifying the Job Code.