Intern- IT, AI Team, Data

Ask Bio Inc., a wholly owned and independently operated subsidiary of Bayer AG, is a fully integrated gene therapy company dedicated to developing life-saving medicines and changing lives. The company maintains a portfolio of clinical programs across a range of neuromuscular, central nervous system, cardiovascular, and metabolic disease indications with a clinical-stage pipeline that includes investigational therapeutics for congestive heart failure, limb-girdle muscular dystrophy, multiple system atrophy, Parkinson's disease, and Pompe disease.

Ask Bio's gene therapy platform includes Pro
10, an industry-leading proprietary cell line manufacturing process, and an extensive array of capsids and promoters. With global headquarters in Research Triangle Park, North Carolina, and European headquarters in Edinburgh, Scotland, the company has generated hundreds of proprietary capsids and promoters, several of which have entered pre-clinical and clinical testing.

Our vision:
Pioneering science to create transformative molecular medicines.

Our mission:
Lead innovative science and drive clinical outcomes to transform people's lives.

Our principles:

* Advance innovative science by pushing boundaries.

* Bring transformative therapeutics to patients in need.

* Provide an environment for employees to reach their fullest potential.

Our values:

* Be a Pioneer. We are not afraid of the impossible and to innovate to make gene therapies accessible to those in need.

* Cultivate Collaboration. Strive to be the best teammate, actively listen, openly communicate, and embrace diverse points of view.

* Embrace Responsibility. We are humbled by the enormity of our mission. We hold a relentless commitment to advance science and clinical outcomes for our patients, families, and caregivers.

* Raise the Bar. Continuously drive improvements and efficiencies. Seek and provide constructive feedback. Have a bias for learning and action.

* Act with Uncompromising Integrity. Be honest, transparent, and committed to doing what's right in every situation. Make clear commitments and follow through.

Position Summary

Working as part of the AI Readiness Intern Team, this intern will support the data readiness workstream for prioritized, high‑value AI use cases across business and scientific functions. The role focuses on finding, assessing, and improving data availability, quality, lineage, and access needed to move use cases from "marginally ready" to "deployment‑ready." The intern will collaborate with the AI Hub, AI champions in R&D, Clinical, Technical Operations, and corporate functions.

The program culminates in a final presentation on "Accelerating AI Use Case Readiness:
Data."

This internship is office-based and will report to the Director, AI Automation and Integration.

Job Responsibilities

* Support data readiness assessments for prioritized AI use cases (profiling, quality checks, completeness, lineage

* Learn how to map enterprise data sources, metadata, and governance processes to use case requirements

* Review data pipelines and integration points; identify gaps in ingestion, transformation, or access controls

* Partner with team of IT Interns on the AI squad, business SMEs, data stewards, and platform engineers to validate requirements and close data gaps

* Observe cross‑functional workflow handoffs and how data quality impacts downstream analytics/ML

* Review and enhance data documentation (glossaries, dictionaries, lineage diagrams)

* Participate in building lightweight AI use case and analytics prototypes to validate feasibility

* Assist in defining readiness KPIs (e.g., data completeness, timeliness, quality scores)

* Maintain a backlog of data issues and remediation actions; track progress with stakeholders

* Communicate findings via concise updates and visualizations for diverse audiences

* Collect lessons learned to contribute to a Data Readiness Playbook

* Present a final readout: impact achieved, insights, and recommendations

Minimum Requirements

* Must be pursuing a Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Management Information Systems (MIS) or related discipline

* Must be at…