{bc}
Apply
greenhouse

Data Intern

Legend Biotech US
Bridgewater, USA
Intern
Onsite
Discovered 4 days ago
power-bipythonsqltableau

Full Job Posting

Key Responsibilities

  • Assist with collecting, cleaning, transforming, and analyzing structured and unstructured data from multiple business systems.
  • Perform exploratory data analysis to identify trends, patterns, anomalies, and potential data quality issues.
  • Develop and enhance dashboards, reports, and visualizations using tools such as Microsoft Power BI.
  • Write SQL queries to retrieve, analyze, and validate data from databases and cloud data platforms.
  • Support data engineering activities, including data ingestion, transformation, validation, and reconciliation.
  • Assist with preparing analytics-ready datasets and support the development of data and semantic models.
  • Support enterprise data platform initiatives using technologies such as Snowflake, Microsoft Azure, Microsoft Fabric, or similar cloud platforms.
  • Assist with documenting data sources, transformations, lineage, metadata, and business rules.
  • Perform data quality checks and support the resolution of data inconsistencies.
  • Support discussions with business stakeholders to understand and document reporting and analytics requirements.
  • Assist with analytics, automation, and AI-enabled solutions where appropriate.
  • Participate in testing and validation of reports, dashboards, datasets, and data pipelines.
  • Prepare technical documentation, presentations, and analytical summaries.
  • Follow organizational requirements for data privacy, cybersecurity, data governance, and the appropriate handling of confidential information.
  • Perform other data and analytics-related activities as assigned.
  • The Data Intern works under the guidance of the Data & Analytics team and may independently perform assigned analysis, prepare reports, document findings, and identify data quality issues. The role may recommend process improvements and highlight risks or issues but does not have authority to make architectural, compliance, financial, or strategic decisions without management approval.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in:
  • Data Science
  • Computer Science
  • Information Systems
  • Statistics
  • Mathematics
  • Engineering
  • Bioinformatics
  • Business Analytics
  • Ability to break down problems and use data to develop insights.
  • Desire to learn new data, cloud, analytics, and AI technologies.
  • Attention to accuracy, completeness, consistency, and traceability of data. ·
  • Ability to summarize analysis and communicate findings clearly.
  • Ability to work effectively with technical teams and business stakeholders.
  • Ability to manage assigned tasks, meet deadlines, and raise issues when needed. ·
  • Willingness to learn unfamiliar systems, technologies, and business processes.
  • Basic knowledge of SQL and data analysis concepts.
  • Coursework, academic projects, or practical experience using Python or a similar programming language.
  • Familiarity with a data visualization tool such as Power BI, Tableau, or a similar platform is preferred.
  • Exposure to cloud data platforms or data engineering technologies is a plus.
  • Coursework or project experience involving machine learning, generative AI, or large language models is a plus.
  • Familiarity with data governance, data privacy, or regulated environments is a plus.
  • Interest in biotechnology, pharmaceuticals, healthcare, or life sciences is preferred
  • #Li-CR1
  • #Li-Hybrid
  • Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
  • Work Authorization & Employment Eligibility
  • Applicants must be authorized to work in the United States. As part of our commitment to maintaining a lawful workforce and ensuring compliance with federal employment regulations, we participate in the E-Verify program. If you are selected for employment, you will be required to complete the Form I-9 process, and your employment eligibility will be verified through E-Verify in accordance with applicable federal law. We are committed to providing a fair, transparent, and welcoming hiring experience for all candidates.
  • EEO Statement
  • It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
  • Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
  • For information related to our privacy notice, please review: Legend Biotech Privacy Notice.

Preferred Qualifications

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

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Legend Biotech US

IT Project Coordinator

Bridgewater, USA

Discovered Today

CQV Manager

Raritan, USA

Discovered Today

Principal Scientist, Bioinformatics

Somerset, USA

Discovered Today

Site Project Management Office Intern

Raritan, USA

Discovered 4 days ago

Facilities Planning and Digitalization Specialist

Raritan, USA

Discovered 4 days ago

QA Warehouse Specialist III

Raritan, USA

Discovered 4 days ago

Intern, FFBA Analytical Development

Somerset, USA

Discovered 4 days ago

QC Stability Coordinator (Intern)

Somerset, USA

Discovered 4 days ago