Data Analyst - Remote

Overview

We are seeking a Data Analyst with a foundation in data science, analytics, and AI-driven methodologies to support research initiatives and develop advanced tools that leverage clinical data. This role will focus on data analysis, visualization, and insights generation (60%) while also contributing to AI agent development and automation of data-driven research tools (40%) to enhance biomedical insights and decision-making. This is an exciting opportunity for a motivated individual to gain hands-on experience in a fast-paced startup environment and contribute to groundbreaking advancements in oncology and nuclear medicine.

In Short

• Perform data cleaning, validation, and exploratory data analysis on clinical and preclinical datasets.
• Develop and maintain dashboards and reports to visualize key metrics and insights.
• Conduct predictive statistical modeling to evaluate treatment outcomes.
• Support the development of statistical analysis plans and publications.
• Collaborate with clinical, regulatory, and medical affairs teams.
• Generate reports and visualizations to communicate study findings.
• Assist in the development of AI-driven statistical tools.
• Apply machine learning techniques to enhance decision-making.
• Support the automation of statistical analysis pipelines using Python, R, or SQL.
• Identify opportunities to integrate AI into clinical analytics projects.

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, or related field; Master's preferred.
• Relevant project experience in biotech, pharmaceutical, CRO, or academic research.
• Proficiency in data analysis tools such as R, SQL, Python, and statistical software.
• Experience with machine learning and AI-driven methodologies.
• Proficiency in data visualization tools such as Tableau or Power BI.

Benefits

• Hands-on experience in a fast-paced startup environment.
• Opportunity to contribute to advancements in oncology and nuclear medicine.
• Collaborative work with clinical and regulatory teams.
• Engagement in cutting-edge AI and data analysis projects.