✦ Luna Orbit — Data & Analytics

Untitled Position

at Company

Hybrid Posted March 29, 2026
Type Internship
Experience intern
Exp. Years 0
Education PhD candidate focusing in one of the following: engineering, economics, statistics, computer science, or a related quantitative field
Category Data & Analytics

12-week Biogen internship at Cambridge, focusing on end-to-end data science insights, collaborating with data scientists and business stakeholders to frame problems and translate results into actionable insights.

  • Assist in end-to-end delivery of data science insights
  • Collaborate on brand analytics plan
  • Deliver consolidated insights to US Commercial teams
  • Evaluate and enhance data science capabilities
  • Communicate value to stakeholders

Exposure to Python, R, SQL, Snowflake/Databricks, big data stack and visualization techniques; emphasis on data privacy and security; cross-functional collaboration.

PhD candidate in a quantitative field with exposure to machine learning, Python, R, SQL, Snowflake and Databricks; strong communication and collaboration skills.

Experience with machine learning technologysuch as big data stackPythonRand visualization techniques.Strong written and verbal communication skills.
Experience with both traditional SQL and modern NoSQL data storesincluding SQLand large-scale distributed systems such as Hadoop or working in Snowflake/Databricks.
Machine learningPythonRbig data stackSQLSnowflakeDatabricksvisualization techniquesdata science
PythonRmachine learningbig data stackvisualization techniquesSQLSnowflakeDatabricks
Strong written and verbal communication
Industry Healthcare & Medical
Job Function Support data science initiatives through modeling, analytics, and stakeholder collaboration during a 12-week internship.
Role Subtype Intern
data science internadvanced analyticsmachine learningpythonrsqlsnowflakedatabrickshybridbrand analyticsus commercial teamsdata privacydata integritybiogencambridgeinternship12-week programphd candidatecommunication

Not authorized to work in the U.S., Non-enrolled candidate or not pursuing a related quantitative field

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