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 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.

The Data Science & Solutions team is seeking a junior data analytics professional to support research, manufacturing, and analytical data initiatives in a biotechnology environment.

• 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

$75,000 - $90,000 a year