Research Data Scientist

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets. The position will contribute to building scalable, reproducible data frameworks that enable insights, predictive modeling, and informed decision-making. Responsibilities:

• Design and implement scalable data analysis pipelines for structured and unstructured datasets
• Develop and apply statistical models to analyze trends, patterns, and key outcomes
• Build and deploy machine learning models for predictive analytics and pattern recognition
• Perform integrative analysis across multiple data sources and modalities
• Collaborate with stakeholders to support study design, data strategy, and analytical approaches
• Establish and maintain reproducible workflows, including data preprocessing, quality control, and version control
• Develop data organization standards and reporting frameworks
• Generate clear data visualizations, dashboards, and analytical summaries
• Contribute to technical documentation, reports, and presentations
• Support data infrastructure development for efficient storage, access, and processing
• Partner with cross-functional teams to align data solutions with project goals

• Master’s degree (Ph.D. preferred) in Data Science, Statistics, Computer Science, or a related quantitative field
• 3+ years of experience in data analysis, statistical modeling, or computational work
• Strong expertise in statistical analysis and data interpretation
• Proficiency in programming languages such as Python or R
• Experience working with large, complex datasets
• Experience building reproducible data workflows and pipelines
• Strong analytical, problem-solving, and communication skills
• Ability to work both independently and collaboratively, * Ph.D. in a quantitative or computational discipline
• Experience with machine learning or advanced modeling techniques
• Experience integrating data from multiple sources or systems
• Familiarity with data visualization tools and techniques
• Experience with data infrastructure, cloud platforms, or big data tools
• Exposure to analytical work in research or technical environments
• Experience contributing to technical reports, publications, or presentations