Supply Chain & Data Analytics Intern

VeracyteSan Diego, CA
Hybrid

About The Position

At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions. The Position: We are seeking a Supply Chain & Data Analytics Intern to support the development of a next-generation Sales & Operations Planning (S&OP) capability, including foundational work toward AI-driven planning models. This role will focus on organizing, cleaning, and structuring supply chain and commercial data to enable advanced analytics and future predictive modeling.

Requirements

  • Pursuing or completed an MBA or Bachelor’s in Supply Chain, Operations, Data Analytics, or related field
  • Strong analytical and problem-solving skills
  • Experience working with structured datasets and Excel
  • Interest in forecasting, planning, and data-driven decision making

Nice To Haves

  • Familiarity with data visualization tools (Tableau, Looker, etc.)

Responsibilities

  • Clean, standardize, and structure datasets across: Demand forecasts, Inventory and supply data, Commercial / sales inputs
  • Support development of data pipelines for S&OP reporting and modeling
  • Identify data gaps, inconsistencies, and process inefficiencies
  • Build basic dashboards / reporting views (e.g., Tableau, Looker, Excel)
  • Assist in early-stage model inputs for predictive forecasting / AI initiatives
  • Document data definitions, assumptions, and transformation logic

Benefits

  • Exposure to enterprise S&OP processes in a regulated diagnostics environment
  • Hands-on experience preparing datasets for AI / predictive modeling
  • Cross-functional exposure to Supply Chain, Commercial, and Finance
  • Experience working with real-world operational data at scale
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