Top Data Science Jobs in San Diego, CA
The Staff Bioinformatics Scientist will develop algorithms and software solutions for genetic and epigenetic data analysis, applying machine learning and statistical methods to meet clinical application requirements. The role involves designing robust analytical workflows to automate studies in a product development environment.
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
The Machine Learning Research Scientist will develop and research state-of-the-art NLP models to enhance market research. The role involves predictive modeling, algorithm development for large-scale applications, and effective communication of technical concepts to non-technical stakeholders.
The role involves developing and executing biomarker strategies for early clinical development, utilizing advanced bioanalytical methods and collaborating with interdisciplinary teams. Responsibilities include analyzing clinical samples, optimizing assays, and maintaining thorough documentation to support clinical trials.
The Senior Bioinformatics Scientist will lead bioinformatics analysis and pipelines for product development teams focused on cell therapy and personalized medicine. Responsibilities include developing data analysis methods, enhancing single-cell data visualization, integrating AI/ML models, and collaborating across teams to analyze biological data sets.
The Senior Data Scientist will lead predictive modeling projects to solve complex business problems by processing large data streams in a distributed environment. Responsibilities include developing proprietary algorithms, providing actionable insights, and mentoring other Data Scientists while collaborating with business partners.
The Senior Programmer/Analyst will capture user requirements for systems development, create functional specifications, migrate legacy applications, develop prototypes, and document programming tasks. They will also work with cross-functional teams to deliver solutions and enforce compliance processes.
The Principal AI Data Scientist will lead AI strategy for clinical trial optimization, leveraging machine learning models and diverse medical data sets. Responsibilities include ideating ML applications, developing prototypes, optimizing data pipelines, and mentoring junior staff. The role requires strong research, leadership, and communication skills, alongside hands-on model design and implementation.
The Sr. Specialist in Data Engineering and Science at Sony Electronics Inc. will architect data solutions using Databricks, ensuring data quality and integrity for marketing insights. Responsibilities include designing data pipelines, optimizing workflows, and collaborating with teams for data requirements. The role demands proficiency in managing data environments and resolving production issues, aiming for continuous improvement in data practices.
As a Credit Analyst II, your primary responsibilities include analyzing financial documents to evaluate the creditworthiness of loan applicants, preparing credit reports, making underwriting recommendations, and collaborating with colleagues to communicate decisions and address inquiries.
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