Principal Data Scientist

Scorpion Therapeutics; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Scorpion Therapeutics seeks a Principal Data Scientist to lead AI and data science platform development for clinical research and trial optimization. You will build scalable AI tools, collaborate with clinical scientists, and deploy production-grade ML on AWS.

Strong communication of insights to multi-disciplinary teams is essential. The role requires deep expertise in ML/DL, Python or R, and a track record of deploying models in production within biopharma or similar regulated environments.

Qualifications

• Bachelor's degree in CS, Data Science, Statistics, or related field.
• 12+ years in data science with significant software development experience using Python or R.
• Expertise in machine learning and deep learning (TensorFlow, PyTorch).
• Experience deploying models in production with CI/CD and containerization (Docker).

Responsibilities

• Develop scalable AI tools and data science platform components.
• Collaborate with clinical scientists, biostatisticians, and data managers to design and deploy data-driven solutions.
• Implement robust, production-grade software and infrastructure on AWS.
• Communicate insights effectively to cross-functional teams.

Skills

Python

R

Machine learning

Deep learning (TensorFlow, PyTorch)

Education

Bachelor's degree in CS, Data Science, Statistics, or related

Master's or Ph.D. in relevant fields

Tools

Docker

CI/CD

AWS

Job description

Role

Principal Data Scientist leading AI and data science platform development within biopharma, focusing on clinical research and trial optimization.

Responsibilities

• develop scalable AI tools
• collaborate with clinical scientists, biostatisticians, and data managers to design and deploy data-driven solutions
• implement robust, production-grade software and infrastructure on AWS
• communicate insights effectively

Requirements

• Bachelor's in CS, Data Science, Statistics, or related
• 12+ years in data science with significant software development experience using Python or R
• expertise in machine learning, deep learning (e.g., TensorFlow, PyTorch)
• experience deploying models in production
• strong analytical and software engineering skills, including CI/CD, containerization (Docker)

Preferred

• Master's or Ph.D. in relevant fields
• cloud architecture experience (AWS, GCP, Azure)
• Big Language Models (LLMs), GenAI experience
• proven ability to develop and optimize analytics pipelines

High Value

biopharma clinical research, AI-powered data platforms, production ML deployment, scalable cloud infrastructure, cross-functional collaboration in clinical development.

Work Setup

remote connection week.