Top Hybrid Data Science Jobs in San Diego, CA
Senior Staff Bioinformatics Scientist role at GRAIL, specializing in cancer detection, disease biology characterization, and improving patient outcomes through innovative research projects. Responsible for leading team projects, providing technical leadership, collaborating across teams, and mentoring junior members.
Seeking a Senior Data Scientist to join the Cloud Capacity Analytics team at ServiceNow. Responsibilities include delivering effective Cloud Analytics and reporting, collaborating with capacity planners, and leveraging AI and Machine Learning for infrastructure forecasting. Must have experience with data mining technologies and developing predictive models.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, contribute to thought leadership, and have expertise in programming, data engineering, and machine learning. You will also need strong communication, critical thinking, and problem-solving skills.
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Director position in the Products & Technology Risk and Quality team at PwC, responsible for managing technology and data risks, regulatory compliance, and stakeholder relationships. Requires strong communication, critical thinking, and decision-making skills.
The Senior Bioinformatics Scientist will be responsible for designing and implementing analysis software for ScaleBio single cell methods. They will collaborate with interdisciplinary teams to develop novel single-cell assays and advance product development. The role requires experience with single-cell sequencing technology and analysis methods, as well as a track record of designing and implementing novel algorithms and analysis workflows.
Looking for a motivated data scientist to improve industry-leading algorithms in risk adjustment and evolve product offerings in healthcare. Opportunity to develop novel models that solve a wide range of healthcare problems and impact millions of patients.
The Data Scientist will be responsible for establishing a data-driven product development culture, defining core metrics, building technical foundations for data tracking and analysis, and providing product insights to various teams. They must be proficient in SQL, Python/Pandas, analytical, a great communicator, and able to break down complex data into simple analyses.
Top hybrid Companies in San Diego, CA Hiring Data + Analytics Roles
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