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Industry Solutions & Services Delivery Manager

Accenture, PA - Berwyn, USA

Accenture drives innovation to improve the way the world works and lives.


BASIC QUALIFICATIONS:

Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or a related field, plus 5 years of experience in design and implementation of Data & Analytics solutions in the Life Science industry. In lieu of a bachelor’s degree, employer will accept 2 additional years of experience in design and implementation of Data & Analytics solutions in the Life Science industry.
 
Of the required experience, must have 5 years of experience in each of the following:

  • Working on the design and implementation of technology solutions and platforms in Life Science Research and Development;
  • Working with a team of technical resources through all phases of the technology life cycle, including requirements definition, architecture design, configuration, implementation, and testing;
  • Using statistical computer languages (including SAS, R, Python, and SQL) to manipulate data and draw insights from large data sets;
  • Design and implementation of Data Analytics Solutions using Python, SAS, Apache Spark, SQL, and R;
  • Applying machine learning techniques including clustering, decision tree learning, and artificial neural networks;
  • Utilizing Distributed data/computing tools including Map/Reduce, Hadoop, Hive, Spark, and MySQL;
  • Developing technical architecture documents for technical releases and enhancements which translates the client requirements into technical components;
  • Leading the translation of architecture and documents into working proof of concept;
  • Leading the development team on implementing the design and building data analytics solutions;
  • Using Agile delivery methodologies; and
  • Experience with at least 3 of the following databases: Oracle, AWS Dynamo DB, Google BiqQuery, Postgres, Hive, or Hbase;

Of the required experience, must have 3 years of experience in each of the following:

  • Rest Frameworks including Flask and Django;
  • Experience with at least 2 of the following Data Visualization tools: Tableau, Spotfire, or Qlikview;
  • Clinical Data Management Systems including Medidata Rave, Oracle LSH, and Oracle RDC; and
  • Implementing Cloud technologies including Kubernetes Engine, Google Cloud Storage, Cloud Data Flow, Data Fusion, Docker, and Google Dataproc.

Must have willingness and ability to travel domestically up to approximately 80% of the time to meet client needs.

To apply, please click the ‘APPLY’ button.

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