Associate Data Scientist

Job ID REQ20173462 Category Data Analysis

The Department of Stem Cell Biology and Regenerative Medicine at the Keck School of Medicine of USC is seeking an Associate Data Scientist to join the laboratory of Dr. Charles Murry, reporting to Dr. Lil Pabon. This position will support Dr. Murry’s research programs focused on the mechanisms underlying cardiovascular disease and the development of novel regenerative therapies through quantitative data analysis and computational modeling.

The Associate Data Scientist will assist with the management, analysis, and interpretation of complex biological datasets, including genomic, transcriptomic, imaging, and functional data. The position will work closely with laboratory scientists to translate experimental results into actionable insights. Responsibilities may include, but are not limited to:

• Develops and implements data processing pipelines for biological and experimental datasets in accordance with laboratory and institutional standards.
• Performs statistical analyses and computational modeling to support ongoing research projects.
• Integrates multi-omics, imaging, and phenotypic datasets to identify patterns and biological insights.
• Maintains accurate documentation of data workflows, scripts, and analytical methods to ensure reproducibility.
• Uses statistical and programming tools (e.g., R, Python, MATLAB, or similar platforms) to conduct analyses and generate visualizations.
• Assists in the preparation of figures, reports, and data summaries for publications, presentations, and grant submissions.
• Collaborates with laboratory staff to design experiments with appropriate statistical considerations.
• Maintains data organization, storage, and version control in accordance with USC data governance and research compliance policies.
• Conducts literature reviews to support analytical strategy and experimental design.
• Ensures compliance with relevant data security, IRB, and institutional research standards.

The annual base salary range for this position is $99,823.75 - $123,740.87. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Minimum Education: Bachelor's degree Addtional Education Requirements Combined experience/education as substitute for minimum education Minimum Experience: 2 years Minimum Skills: Experience using statistical computer languages (e.g., R, Python, SQL) to manipulate data and draw insights from large data sets. Experience working with and creating data models and data architecture, and using data visualization tools (e.g., Tableau, ArcGIS, D3.js). Knowledge of current data modeling tools and various machine-learning techniques and algorithms (e.g., clustering, decision-tree learning, artificial neural networks). Experience scripting and programming in several languages with common data science toolkits. Proficient use of query languages (e.g., SQL, MDX) and experience working with relational (e.g., MySQL, SQL Server, Oracle, Snowflake, Redshift) and non-relational (e.g., Mongo, NoSQL) databases. Knowledge of applied, statistical concepts and techniques skills (e.g., distributions, statistical testing, regression). Excellent written and oral communication skills. Ability to provide both detailed information and summaries to management-level individuals and groups. Experience developing customer relationships and delivering customer-focused service. Proven problem-solving and decision-making skills, and the ability to uncover root cause and evaluate different solution options. Preferred Education: Bachelor's degree In Applied Mathematics Or Computer Science Or Statistics Or in related field(s) Preferred Experience: 4 years Preferred Skills: Experience in data science, analytics, IT, cognitive engineering, or related fields. Demonstrated interest in data science and artificial intelligence, and experience in open domain (e.g., GitHub). Published writing on artificial intelligence and/or data science. Ability to write high-quality Python code. Familiarity with unit testing, source control and code review.

Job ID REQ20173462 Posted Date 03/25/2026