Data Intern (Data Quality and Reporting)

Posted 3 Days Ago
Be an Early Applicant
Kadıköy, İstanbul, TUR
Hybrid
Internship
Artificial Intelligence • Big Data • Healthtech • Machine Learning
The Role
Verify operational and reporting data for accuracy, reconcile figures across sources, document discrepancies, track recurring errors, maintain verification procedures, and prepare summaries for the data team. The role follows structured weekly and monthly checks, with opportunities for additional analysis.
Summary Generated by Built In

About Massive Bio

Every cancer patient deserves access to treatment options. Massive Bio is an AI-powered precision medicine platform transforming how cancer patients discover and access clinical trials by eliminating the barriers of geography, financial constraints, and information asymmetry that have historically limited enrollment.

Founded in 2015 and headquartered in the US, Massive Bio is scaling its impact globally by powering operations across multiple countries and bringing innovative cancer treatment options to a rapidly growing and diverse population of patients. Through our proprietary AI platform, we connect individuals to clinical trials worldwide and partner with leading pharmaceutical companies, contract research organizations (CROs), and healthcare systems to accelerate drug development and expand equitable access to cutting-edge therapies.

About the Opportunity

Massive Bio's data team is looking for an intern to own data verification. You will check operational and reporting data for accuracy and document what needs correcting.

The work is structured and recurring, with room to take on analysis as you go.

Key Responsibilities

  • Check operational and reporting data for errors, gaps, and inconsistencies.

  • Reconcile figures across sources and document what does not match.

  • Work through defined verification checks on a fixed weekly and monthly schedule.

  • Record each issue found with enough detail for the data team to trace and fix it.

  • Track recurring error patterns and flag the ones worth fixing at the source.

  • Keep verification procedures documented and current.

  • Prepare short summaries of verification results for the data team.

Candidate Profile & Qualifications

Required:

  • Currently pursuing, or recently completed, a bachelor's degree in engineering, statistics, economics, mathematics, or a related analytical field.

  • Working proficiency in Excel or Google Sheets, including formulas, lookups, and pivot tables.

  • Careful and consistent with detail, with an eye for what doesn't fit.

  • Advanced English, written and spoken.

  • Available for at least six months.

Preferred:

  • Experience with HubSpot.

  • Familiarity with SQL, Python, or a similar tool.

  • Coursework or personal projects involving a real data set you collected, cleaned, or checked.

  • Quality control, auditing, or reconciliation experience.

  • Interest in healthcare, oncology, or life sciences.

 

Skills Required

  • Currently pursuing or recently completed a bachelor's degree in engineering, statistics, economics, mathematics, or a related analytical field
  • Working proficiency in Excel or Google Sheets, including formulas, lookups, and pivot tables
  • Careful and consistent attention to detail
  • Advanced English, written and spoken
  • Availability for at least six months
  • Experience with HubSpot
  • Familiarity with SQL, Python, or a similar tool
  • Coursework or personal projects involving a real data set that was collected, cleaned, or checked
  • Quality control, auditing, or reconciliation experience
  • Interest in healthcare, oncology, or life sciences
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The Company

What We Do

Massive Bio is an AI‑enabled health‑tech company that connects cancer patients to clinical trials worldwide, combining clinician expertise, real‑world data, and concierge support. The platform matches patients to suitable oncology trials, assists enrollment and logistics, and partners with pharmaceutical companies, CROs and cancer centers to accelerate trial recruitment and improve patient access and outcomes.

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