Top Remote Biotech Data Science Jobs

The Sr. Data Scientist will collaborate on clinical projects, translate data into actionable insights, and ensure study compliance, requiring advanced statistical computation skills.

The Senior Bioinformatics Engineer will develop and maintain bioinformatics pipelines, architect AWS infrastructure, analyze data insights, and contribute to regulatory documentation.

The intern will collaborate with statisticians to conduct analysis using AI and machine learning techniques, implementing models and analyzing clinical data.

The role involves building bioinformatics and ML pipelines, analyzing multi-omics data, mentoring, and collaborating across teams to develop actionable insights and scientific breakthroughs.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

The Bioinformatics Engineer II role focuses on developing and improving single cell analysis tools in Trailmaker, collaborating across the full stack, and mentoring teammates.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

The Principal Statistical Programmer will oversee and deliver statistical programming for clinical trials, ensure high-quality data summaries, and support regulatory submissions while collaborating with CROs and other functions.

Analyze biological datasets using machine learning and deep learning, collaborate on research projects, and communicate findings through visualizations and reports.