Top Data & Analytics Jobs in San Diego, CA
The Bioinformatics Scientist II will analyze complex clinical DNA sequencing and epigenetic data, develop biomarkers for oncology products, apply statistical methods, and support regulatory submissions. The role also involves scripting and leveraging AI methods for efficiency, alongside the dissemination of research findings through reports and presentations.
The job involves responsibilities related to capital contracting analysis. Specific details on tasks and requirements are not provided in the job description.
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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The Compliance Surveillance Analyst will conduct trade surveillance to identify potential sales practice exceptions, monitor daily reports, analyze data, assist with compliance projects, maintain records, and collaborate with compliance leads.
The Principal Scientist in Technology Transfer will lead initiatives to improve processes, products, and cost efficiency by working with various departments. Responsibilities include transferring workflows from R&D to manufacturing, designing experiments for product stability, setting quality criteria, and ensuring customer-focused product development.
The Research Analyst will conduct market research, analyze industry trends, and maintain databases of property and market data to provide insights for investment sales. Responsibilities include using data mining techniques, updating databases, and collaborating with teams to support business development.
The Manager of Trade Analytics is responsible for leading analytical activities related to rebate management, analyzing large datasets, managing team training and deliverables, and developing statistical models to support business needs. The role requires strong SQL expertise, creativity in data analysis, and the ability to manage multiple priorities effectively.
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 Program Analyst will work with the Program Management Office to support program and engineering management teams during the full contract life cycle, focusing on proposal development and financial management in a dynamic environment.
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.
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