Data Engineer Intern (takeda)

Job Description

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Job Description

The Data and Modeling Applications team supports Biologics Process Development by leveraging advanced data analytics, machine learning, and mechanistic modeling to manage, analyze, and simulate complex datasets. By integrating cutting-edge computational tools, process informatics, and predictive modeling, we collaborate closely with scientists and engineers to optimize workflows, uncover actionable insights, and enhance decision-making. Our expertise in advanced data systems and AI-driven approaches drives innovation, accelerates biologics development, and ensures the delivery of high-quality biologic products to patients.

Job Description:

The Data Engineer Intern will be crucial in supporting the Digitalization Initiatives project within the Biologic Process Development (BPD) team. This internship offers a unique opportunity to enhance the efficiency and effectiveness of Research and Development (R&D) operations by implementing advanced digital solutions. The BPD team is dedicated to fostering innovation, improving data accessibility, and streamlining workflows across various projects.

How You Will Contribute:

In this role, you will:

• Collaborate with cross-functional teams to develop and optimize data pipelines that ensure seamless data integration across multiple research projects, designing robust workflows that support real-time data access and analysis
• Work closely with stakeholders to identify data requirements, translating these into technical specifications while assisting in designing workflows that align with project goals and ensuring efficient data flow and accessibility
• Ensure that project deliverables align with organizational objectives, assisting in tracking milestones, managing timelines, and reporting progress to meet business needs.

Additionally, you will:

• Support the optimization of workflows by enhancing processes related to data management and analysis, implementing solutions that improve the accuracy and accessibility of data, and contributing to better decision-making
• Ensure that all data-related processes align with organizational standards and best practices in data management, collaborating with team members to maintain compliance with relevant regulations and guidelines
• Create and maintain comprehensive documentation for data processes, pipelines, and workflows, providing regular updates on project status and deliverables to stakeholders.

Internship Development Opportunities:

The Data Engineer Intern will gain valuable experience in digital transformation through this internship. You can work on impactful projects contributing to BPD’s mission of driving innovation and improving operational performance. You can gain hands-on experience with advanced data engineering tools like Python, SQL, AWS, and Apache Airflow, enhancing technical data manipulation and integration proficiency. The internship provides a unique opportunity to apply theoretical knowledge to real-world projects in the biotechnology industry, bridging the gap between academic learning and industry practices. Additionally, the intern will build valuable industry connections and receive mentorship from experienced professionals, setting the stage for future career opportunities in data engineering and biotechnology.

Job Requirements:

• This position will be Fully Onsite and require 4+ days in the Lexington office per week.
• Must be currently pursuing a Master’s or Doctoral degree in Computer Science, Data Science, Information Technology, or a related field
• Proficient in Python for data manipulation and analysis.
• Strong experience with SQL for database querying and management.
• Familiarity with AWS services (e.g., S3, Lambda, RDS) for data storage and processing.
• Experience with Tableau for creating interactive dashboards and visualizations.
• Basic knowledge of HTML and CSS for web interface integration.
• Experience with FastAPI or similar frameworks for building APIs.
• Understanding Big Data technologies (e.g., Hadoop, Spark, Databricks) for processing large datasets.
• Basic knowledge of machine learning principles and tools to support data-driven decision-making.
• Experience with Apache Airflow or similar workflow orchestration tools for managing data pipelines.
• At least 1 year of experience in Data engineering, Software Engineering, data analysis, or related fields is preferred.
• Highly reliable and a strong team player
• Flexible with an attention to detail
• Strong verbal and written communication skills

Internship Eligibility

• Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship
• Must be currently enrolled in a degree program graduating December 2025 or later
• The internship program is 10-12 weeks depending on the two start dates (June 2nd- August 29th) or (June 16th - August 22nd)
  • The intern must be able to commit to one of these time frames
• Able to work full time 40 hours a week during internship dates
• Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program

 Program Highlights:

• Hands-on experience with real projects and responsibilities
• Dedicated mentorship program pairing interns with experienced professionals
• Networking opportunities with industry professionals and fellow interns
• Internship events focused on professional and skills development
• Exposure to multiple business areas or departments within a Pharmaceutical Organization

Applications will be accepted between December 18th and January 10th

For Location:

U.S. Hourly Wage Range:

$21.00 - $46.00

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

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Job Exempt