AI/ML Automation Pipelines Intern

Daiichi Sankyo, Inc.; Basking Ridge (NJ); Sur place; USD 24 000 - 80 000; Plein temps

Résumé du poste

Daiichi Sankyo, Inc. is seeking an AI/ML Automation Pipelines Intern for Summer 2027. This internship runs about 37.5 hours per week and focuses on applying AI/ML to streamline clinical trial reporting.

You will build and evaluate automation pipelines using Python and ML techniques, aiming to improve efficiency, accuracy, and standardization across studies.

Qualifications

• Pursuing a Masters or PhD in Biostatistics, Computer Science or relevant analytics-focused field.
• Strong experience with R, R Shiny, Python and AI/ML is required.

Responsabilités

• Explore how AI/ML can streamline programming workflows in clinical trial reporting.
• Build proof-of-concept automation pipelines using Python and ML models to improve efficiency and accuracy.

Connaissances

AI/ML

Data analytics

Python

R

Formation

Masters or PhD in Biostatistics, Computer Science, or relevant field

Outils

Python

R Shiny

scikit-learn

Description du poste

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.

Job Summary

We are currently seeking an AI/ML Automation Pipelines Intern for Summer 2027. This position works for approximately 37.5 hours per week.

Responsibilities

The AI/ML Automation Intern will explore how AI and machine learning can streamline programming workflows in clinical trial reporting. The focus will be on building proof-of-concept automation pipelines that use Python and ML models to improve efficiency, accuracy, and standardization.

Objectives

• Learn how AI/ML can be integrated into clinical data workflows.
• Build automation pipelines to reduce manual coding and enhance prediction accuracy.
• Apply Python programming and ML frameworks (e.g., scikit-learn, LangChain) to real-world data challenges.

Key Deliverables

1. 1. Develop a prototype ML-based code recommender for TLF (Tables, Listings, Figures) generation.
2. 2. Automate study metadata extraction from protocols or SAPs using NLP models.
3. 3. Create a Python-based monitoring dashboard for QC metrics across multiple studies.
4. 4. Present findings and demonstrate automation pipeline in a showcase session.

Qualifications

Currently pursuing Masters or PhD in Biostatistics, Computer Science or relevant fields with analytics focus. Strong experience with R, R Shiny, Python and AI/ML is required.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Salary Range

USD$17.23 - USD$58.15