Truveta
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The Director of Genomics Partnerships will lead collaboration with health system partners to enhance the supply of genomic samples for data generation, manage biospecimen contributions, and improve the efficiency of processes while aligning with Truveta's goals.
The Software Engineer will design and build APIs, enhance Kubernetes infrastructure, streamline CI/CD pipelines, and improve system observability. They will collaborate with frontend engineers to ensure user needs are met and commit to ongoing training in ethics and security.
The Senior Technical Program Manager will lead data onboarding initiatives, manage project risks, coordinate efforts with stakeholders, and optimize workflows to enhance internal processes and partner engagement.
The Senior Research Analyst will lead research studies, carry out data analysis, manage multiple projects, and create research outputs. The role involves transforming complex datasets into insights and collaborating with various teams to enhance healthcare data solutions.
As a Senior Applied Research Scientist at Truveta, you will lead applied research studies leveraging extensive healthcare data to enhance public health. Your responsibilities include driving research projects using causal inference and other advanced analytical methods, collaborating with cross-functional teams, and maintaining high standards in research rigor.
The Senior Product Manager will evolve and scale Truveta Studio as a platform for organizational workflows, focusing on usability, security, and efficiency. Responsibilities include developing product strategy, improving user experience, collaborating cross-functionally, communicating with stakeholders, and tracking product usage metrics.
The Director of Product Management - Analytics Experience will lead the development of analytics capabilities in Truveta Studio, enabling scientific research through advanced analytics. This role includes strategy formulation, user experience design, collaboration with cross-functional teams, and effective communication with stakeholders.
The Senior Product Manager will drive the roadmap for Truveta's genomics program, integrating genomics into their data platform, managing cross-functional teams, and ensuring product compliance and quality. They will also identify innovation opportunities and work closely with clients to understand their genomic data needs.
As a Senior Product Manager for Truveta Data, you will lead the roadmap for various product domains, focusing on third-party data enrichment strategies. Your responsibilities include understanding customer research needs, collaborating across teams, and ensuring the successful delivery of data products that enhance user experience and satisfaction.
The Director of Product Management will lead the evolution and scaling of Truveta Studio, focusing on platform usability, security, and analytics. Responsibilities include developing product strategy, enhancing user experience, collaborating with cross-functional teams, and tracking product usage metrics to drive data-informed decisions.
The Director of Product Management for Data at Truveta will drive the roadmap and business objectives for the data product portfolio, focusing on third-party data enrichment and understanding customer needs. Responsibilities include collaborating with stakeholders and executing strategic initiatives to enhance product offerings.
The Director of Product Management for Genomics at Truveta will lead the strategizing and implementation of the genomics program and product portfolio, ensuring the integration of genomic data into their platform while managing cross-functional teams to innovate and uphold data quality and compliance.
The Partner Research & Success Manager will manage customer relationships, facilitate onboarding and training, conduct data queries, and provide project management support. They will also summarize customer analyses and contribute to operational efficiency and client growth, while advocating for customers within Truveta.
The ML Postdoc Researcher will design and refine large language models, develop algorithms for generative tasks, and implement models on large datasets. Responsibilities also include collaborating with teams, staying informed on advancements in machine learning, and contributing to health data applications.