Analytics Engineer Intern

ArcellxRedwood City, CA
15hOnsite

About The Position

Arcellx is a public, clinical-stage biotechnology company reimagining cell therapy by engineering innovative immunotherapies for patients with cancer and other incurable diseases. We believe that cell therapies are one of the forward pillars of medicine and our mission is to destroy cancer and advance humanity by developing cell therapies that are safer, more effective, and more broadly accessible. Our team members are made up of talented innovators and dreamers working from our offices in Rockville, Maryland, and Redwood City, California. At Arcellx, we hire exceptional people and create a fun, diverse, supportive, and informal environment that allows everyone to do their best work. What Matters to Us Living our core values is essential to maintaining a work environment that is high-performing, inclusive, and collaborative. We look for candidates who demonstrate strong values alignment and bring different backgrounds, viewpoints, and abilities to the team. Arcellx Core Values Start with authenticity: We foster an inclusive environment where each person can bring their authentic self to work. Think ‘we’ before ‘me’: We prioritize collective success, collaborating and supporting one another to achieve our shared goals. Embrace the challenge: We deliver exceptional results by working with shared determination and a commitment to doing what’s right.

Requirements

  • Understanding of coding languages such as Python and SQL.
  • Exposure to data analytics in some capacity.
  • Familiarity with exploratory data analysis (EDA), extract, transform, load (ETL) process, and data visualizers. Either by projects or previous internship experience.

Responsibilities

  • Design and build Manufacturing Performance Dashboard that tracks key metrics including:
  • Process Performance
  • Batch Yield
  • Cycle Time
  • Comparability to Historical Performance
  • Support Manufacturing and QC data pipelines by:
  • Improve data ingestion
  • Ensure reliable data flowing into dashboards
  • Prototype a tool that enables non-technical users explore data more easily (ex. natural language “chat with data” interface, reporting UI/UX)
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