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9 часов назад

Data Intern (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Intern (AI): Supporting data collection, analysis, visualization, engineering, and AI-enabled initiatives for enterprise analytics in a regulated life sciences environment with an accent on SQL, cloud data platforms, data quality, and business intelligence. Focus on building dashboards and analytics-ready datasets, validating data pipelines, documenting lineage and business rules, and identifying data quality issues.

Location: Hybrid, Bridgewater, New Jersey, United States. Applicants must be authorized to work in the United States; employment eligibility is verified through E-Verify.

Company

hirify.global is a global biotechnology company developing cell therapies, including CAR-T, TCR-T, and natural killer cell-based therapies, for life-threatening diseases.

What you will do

  • Collect, clean, transform, analyze, and reconcile structured and unstructured data from multiple business systems.
  • Perform exploratory analysis, identify trends and anomalies, and conduct data quality checks.
  • Develop and enhance reports, dashboards, and visualizations using Power BI or similar tools.
  • Write SQL queries and support data ingestion, transformation, validation, analytics-ready datasets, and data and semantic models.
  • Support enterprise data platform initiatives using Snowflake, Microsoft Azure, Microsoft Fabric, or similar cloud platforms, as well as analytics, automation, and AI-enabled solutions.
  • Document data sources, transformations, lineage, metadata, business rules, requirements, findings, and technical materials; participate in testing and validation.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Bioinformatics, or Business Analytics.
  • Ability to break down problems, use data to develop insights, summarize analysis clearly, and communicate findings.
  • Ability to work effectively with technical teams and business stakeholders, manage assigned tasks, meet deadlines, and raise issues when needed.
  • Willingness to learn unfamiliar systems, technologies, and business processes, including data, cloud, analytics, and AI technologies.
  • Attention to data accuracy, completeness, consistency, and traceability.
  • Basic knowledge of SQL and data analysis concepts.
  • Coursework, academic projects, or practical experience using Python or a similar programming language.
  • Follow requirements for data privacy, cybersecurity, data governance, and confidential information handling.

Nice to have

  • Familiarity with Power BI, Tableau, or a similar data visualization platform.
  • Exposure to cloud data platforms or data engineering technologies.
  • Coursework or project experience involving machine learning, generative AI, or large language models.
  • Familiarity with data governance, data privacy, or regulated environments.
  • Interest in biotechnology, pharmaceuticals, healthcare, or life sciences.

Culture & Benefits

  • Work with IT, business, and data teams in a regulated life sciences environment.
  • Work under the guidance of the Data & Analytics team while independently performing assigned analysis, preparing reports, documenting findings, and identifying data quality issues.
  • Permanent full-time employees may receive benefits; contractors are not eligible for hirify.global benefits.
  • Equal employment opportunity and an at-will employment arrangement apply.

Hiring process

  • Selected applicants must complete Form I-9 and employment eligibility verification through E-Verify.

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