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Data Science Engineer

Takeda is an industry-leading, global pharmaceutical company dedicated to putting patients first and driving innovation in medicine.
Lexington, MA, USA
$153,000 - $228,000
Data
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Healthcare · Enterprise SaaS

Description For Data Science Engineer

Takeda Pharmaceuticals, a leading global pharmaceutical company, is seeking a Senior Data Science Engineer to join their team in Lexington, MA. This role offers a competitive salary range of $153,000 - $228,000 per year and allows for up to 50% remote work flexibility.

The position requires an experienced professional with 5+ years in healthcare data engineering, particularly in designing and maintaining robust data pipelines that handle both structured and unstructured data from various healthcare and pharmaceutical sources. You'll be working with cutting-edge technologies, including modern AI tools like GPT-4 and AWS Bedrock, to develop innovative solutions for field sales teams and healthcare provider interactions.

As a Data Science Engineer, you'll be responsible for integrating complex data systems, including CRM, ERP, and financial systems, with external healthcare datasets from providers like IQVIA, Symphony, and Veeva. Your role will be crucial in ensuring data quality, implementing efficient ETL/ELT processes, and establishing best practices for data transformation and validation.

The ideal candidate should have a Bachelor's degree in Computer Science, Information Systems, or a related field, along with significant experience in healthcare data engineering. Specific expertise in Unix Shell scripts, Oracle PL/SQL, and Reltio MDM implementation is required. You'll need to demonstrate previous success in leading data migration projects and implementing FDA-required modules in healthcare systems.

At Takeda, you'll be part of a company that values integrity, fairness, honesty, and perseverance. The company is dedicated to advancing healthcare through innovation in medicine, making this an excellent opportunity for someone passionate about making a real impact in the pharmaceutical industry. You'll work with cross-functional teams, including data analysts and scientists, contributing to projects that directly affect patient care and business operations.

This position offers the perfect blend of technical challenge and healthcare industry impact, with the flexibility of hybrid work arrangements. You'll be part of a global organization that prioritizes employee development and maintains a strong commitment to improving patient outcomes through data-driven solutions.

Last updated 5 days ago

Responsibilities For Data Science Engineer

  • Design, build, and maintain scalable data pipelines for structured and unstructured data
  • Ensure seamless data integration between internal and external healthcare/pharma datasets
  • Automate data ingestion and transformation processes
  • Define data engineering techniques and best practices
  • Integrate commercial data with internal data sources
  • Collaborate with data analysts and scientists
  • Review and improve data processing efficiency
  • Develop chatbots and virtual assistants using GPT-4 or AWS Bedrock

Requirements For Data Science Engineer

  • Bachelor's in Computer Science, Information Systems, or data related field
  • 5 years of experience as Data Engineer Consultant in U.S. Healthcare industries
  • Experience leading data team in migrating commercial healthcare data
  • Experience with Unix Shell scripts, Oracle PL/SQL
  • Experience implementing Reltio MDM process across multiple countries

Benefits For Data Science Engineer

  • Competitive compensation and benefits

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