Sr Data Scientist I (Remote - US)

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.

Accountabilities

• Optimize, fine-tune, and operationalize large language models (LLMs) and domain-specific ML models to improve precision, recall, and contextual relevance.
• Implement retrieval-augmented generation (RAG) systems and other AI/ML solutions that enhance product functionality and user experience.
• Collaborate with data engineering, product, and domain teams to translate research challenges into scalable model-driven solutions.
• Evaluate model performance using key metrics, identify opportunities for improvement, and ensure model fairness, transparency, and compliance.
• Develop and maintain pipelines for training, evaluation, and deployment using Databricks, MLflow, and Delta Lake.
• Document methodologies, validation results, and best practices to support reproducibility, audit readiness, and internal governance.
• Stay current on advancements in LLMs, RAG, and multi-modal learning to drive continuous improvement and innovation.

Requirements

• MS in Machine Learning, Computer Science, or a related quantitative discipline, or equivalent relevant experience.
• 5+ years of hands-on experience developing and fine-tuning ML or LLM models.
• Expertise in Python and commercial ML frameworks such as PyTorch.
• Experience with embeddings, retrieval-augmented generation (RAG), and the ML lifecycle.
• Hands-on experience managing and troubleshooting workflows in Databricks for data engineering and ML projects.
• Strong analytical, problem-solving, and communication skills.

Preferred

• PhD in Machine Learning, Computer Science, or a related quantitative field.
• Experience in fast-paced applied research environments with iterative experimentation.
• Familiarity with causal inference, simulation modeling, or graph-based reasoning in clinical or biomedical research.
• Hands-on fluency in Databricks notebooks and workflow orchestration.
• A mindset of continuous learning, bridging experimental work with high-value product applications.

Benefits

• Competitive base salary: $130,000 $168,000 USD.
• Eligible for variable bonus in addition to base salary.
• Comprehensive health coverage, paid holidays, and other benefits.
• Flexible remote work options across the United States.
• Opportunity to work in a mission-driven, collaborative, and innovative environment.
• Professional growth through applied research, cutting-edge AI/ML work, and cross-functional collaboration.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

• Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
• It compares your profile to the jobs core requirements and past success factors to determine your match score.
• Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
• When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are handled by their internal hiring team.

Thank you for your interest!