Senior Data Scientist I - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Data Scientist I in the United States.

As a Senior Data Scientist, you will focus on advancing AI-driven solutions across the clinical research ecosystem. This role centers on optimizing, fine-tuning, and operationalizing large language models (LLMs) and other advanced machine learning models to enhance decision-making, improve data insights, and drive business impact. You will collaborate closely with cross-functional teams, translating real-world research and operational challenges into scalable, model-driven solutions. The position offers the opportunity to shape and deploy innovative AI/ML solutions, contribute to evaluation frameworks, and ensure compliance and interpretability in regulated environments. It combines technical rigor, applied research, and strategic problem-solving within a collaborative, fast-paced, and mission-driven environment.

In Short

• Optimize, fine-tune, and operationalize large language models (LLMs) and domain-specific ML models.
• Implement retrieval-augmented generation (RAG) systems and AI/ML solutions.
• Collaborate with data engineering, product, and domain teams.
• Evaluate model performance and ensure fairness and compliance.
• Develop and maintain pipelines using Databricks, MLflow, and Delta Lake.
• Document methodologies and validation results.
• Stay current on advancements in LLMs and multi-modal learning.

Requirements

• Experience in data science and machine learning.
• Proficiency in large language models and AI technologies.
• Strong programming skills, preferably in Python.
• Experience with data pipelines and model deployment.
• Ability to work collaboratively in cross-functional teams.
• Understanding of compliance and interpretability in regulated environments.

Benefits

• Opportunity to shape and deploy innovative AI/ML solutions.
• Collaborative and fast-paced work environment.
• Work on impactful projects in the clinical research ecosystem.