Data Analytics Associate

Capricor Therapeutics (NASDAQ: CAPR) is a biotechnology company dedicated to advancing transformative cell and exosome-based therapies for rare diseases. At the forefront of our innovation is Deramiocel (CAP-1002), our lead cell therapy in late-stage development for Duchenne muscular dystrophy. We are also harnessing our proprietary StealthX™ exosome platform to unlock new possibilities in targeted delivery and vaccinology. Every program reflects our commitment to pushing the boundaries of science and delivering life-changing treatments to patients and families who need them most.

• Assist with development, execution, and maintenance of analytical workflows, scripts, reports, and dashboards
• Work with biological, analytical assay, and research datasets, including transcriptomics and proteomics data
• Perform data extraction, cleaning, harmonization, integration, and troubleshooting across multiple data sources and systems
• Support RNA-seq and proteomics data preprocessing, quality control, and exploratory analyses under guidance from senior scientists
• Support generation of figures, tables, summaries, and technical documentation for internal reports and presentations
• Maintain organized, traceable, and reproducible analytical workflows, datasets, and supporting documentation in accordance with internal procedures and SOPs
• Support maintenance and organization of cloud, database, and shared data storage environments
• Assist with workflow automation, cloud computing, and data processing activities using tools such as AWS, Git, and scripting languages
• Investigate data inconsistencies, missing information, and technical issues related to analytical datasets and reporting
• Collaborate with cross-functional teams including R&D, Manufacturing, Quality, and Data Science personnel

• MS or PhD degree in Bioinformatics, Data Science, Statistics, Computational Biology, Biology, or related field; relevant industry experience may be considered in place of an advanced degree.
• Experience with R or Python for data analysis
• Familiarity with transcriptomics, RNA-seq, or proteomics datasets
• Basic understanding of statistical analysis and data visualization
• Experience with SQL and cloud platforms (AWS) is a plus
• Familiarity with biotechnology or regulated laboratory/manufacturing environments is a plus
• Experience with structured datasets, databases, or version control systems (e.g., Git) is a plus
• Strong organizational, communication, and problem-solving skills
• Strong attention to detail and ability to manage multiple tasks/projects