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Data Systems and Analytics Intern

Remote Rockville, MD

Who We Are 

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 

  • Character: Committed to always doing what’s right.  
  • Audacity: Willing to challenge convention and share candid feedback with others.  
  • Determination: Curious and self-motivated. Always looking to improve and learn.    
  • Collaboration: "No job is too small" mentality. Humble and willing to help others.  
  • Originality: Will bring your unique perspective to the table and respect a diverse set of views and backgrounds.  

The “Fine Print” – What You’ll Do  

  • Establish E2E processes and systems for the collection, structuring, storage, and trending of process development data 
  • Establish E2E processes and systems for data verification and reporting, from source material to a final technical report 
  • Establish an internal policy document for statistical analysis and reporting for PD studies, based on industry best practices 
  • Representing PD, partner with a cross-functional team to align on implementation of a shared data lake 

Skills and Experience We Look For  

  • Our ideal candidate has a degree or is currently in a chemical engineering, bioengineering, or similar program.  
  • Exposure to college-level statistical courses in data analysis and DOE design is required. 
  • Ideally, the candidate is planning to pursue a career in biotechnology, bioengineering, process engineering, or a similar field. 

Join us in our quest to reimagine cell therapy and destroy cancer. For more on our technology, culture, and team, go to