9 часов назад
Data Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →