sas jobs in San Diego

Join Amazon Private Brands' Selection Guidance team as a Data Scientist II to develop generative AI, machine learning, and statistical solutions for product assortment and business decisions. You will investigate business problems, invent novel solutions and prototypes, and guide other scientists on their designs and implementations.…See more Current research areas include named entity recognition, product substitutes, pricing optimization, agentic AI, and large language models. You'll partner with business stakeholders, perform data analysis and build pipelines, deploy production software, and publish research across Amazon.

As a Data Scientist II, you will partner with business stakeholders to frame and solve private brands product assortment and pricing problems using generative AI, machine learning, and statistical modeling. You'll investigate business problems using data, invent novel solutions and prototypes, and deploy production software while reviewing and guiding science solutions across the team.…See more The role requires strong expertise in data querying, machine learning, statistical modeling, and the ability to communicate complex concepts and publish research both internally and externally.

Lead Clinical Data Manager responsible for directing data management activities across the full lifecycle of one or more clinical studies, from database setup through lock and close-out. The role includes managing CRO and EDC vendor performance, authoring core data management documentation (DMP, DRP, guidelines), ensuring compliance with FDA regulations, ICH-GCP, and CDISC standards (CDASH, SDTM), and representing Data Management on cross-functional teams.…See more Requires 7–10+ years of clinical data management experience with demonstrated expertise in EDC systems (Medidata Rave preferred), vendor oversight, FDA/ICH/HIPAA regulations, and oncology knowledge including RECIST/RANO criteria.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Implement IoT integrations, digital lab twins, telemetry systems, and maintain integrations across automation schedulers, LIMS, and data platforms using DevOps best practices and cloud solutions. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience (or equivalent M.S./B.S. with 10+/13+ years respectively), strong proficiency in Python, SQL, and JavaScript, and experience with lab digitalization and autonomous systems.

Principal Specialist overseeing clinical data management for pharmaceutical studies, responsible for database lock coordination, CRO performance monitoring, and ensuring quality control and audit procedures meet departmental standards. The role requires running data review listings, coding medical history and adverse event data using MedDRA, coding concomitant medications using WHO Drug dictionaries, and collaborating with database programmers to ensure CDISC/SDTM compliance.…See more Requires 8+ years of pharma industry experience (or equivalent with advanced degree), strong knowledge of Good Clinical Data Management Practices, and demonstrated ability to lead and manage teams across multiple projects.

Sr. Principal Specialist will oversee clinical database programming operations, including review/cleaning programs, validation procedures, database migrations, SAS dataset creation, and vendor management within a pharmaceutical environment.…See more The role requires hands-on technical expertise in Medidata Rave, SAS, and SQL alongside strategic leadership of cross-functional teams and oversight of regulatory compliance, inspection readiness, and system implementations. Responsibilities include proactive risk mitigation, evaluation and adoption of new technologies, and acting as a technical liaison across Clinical Data Management, Clinical Operations, Regulatory, and IT. The ideal candidate combines 8+ years of clinical database programming experience (or equivalent with advanced degree) with expert knowledge of CDISC standards, GCP regulations, and end-to-end drug development processes.

Junior Business Analyst role focused on leveraging data analytics, visualization, and business intelligence tools to support analytics processes for a business function. The role requires 2+ years of professional data experience, proficiency with data visualization platforms (Tableau, Qlik, or Power BI), and knowledge of business analysis or BI approaches.…See more Work under direct supervision on routine, limited-scope problems; the position is based in San Diego, CA and requires the ability to obtain a Secret clearance.

Design and develop software applications orchestrating complex automated laboratory workflows, closed-loop learning systems, and AI-integrated autonomous discovery ecosystems for biotherapeutics research. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Create digital lab infrastructure including IoT integrations, digital lab twins, telemetry monitoring, and integrations across automation schedulers, LIMS, and data platforms. Requires Ph.D. in Computer Science/Software Engineering/Bioengineering with 3+ years industry experience (or M.S. with 10+ years, or B.S. with 13+ years), preferably in pharmaceutical or automation sectors.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Create digital lab infrastructure including IoT integrations, digital lab twins, and telemetry monitoring. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience, or equivalent education with more experience; strong proficiency in Python, SQL, JavaScript, and DevOps practices; and familiarity with lab data platforms and autonomous systems.