5 jobs found

Title:  Analytics Manager Schedule Format - Location:  Hybrid - San Francisco Pay Information: $95,500-$119,400 Annually Position Summary KQED is seeking an Analytics Manager who will be responsible for our data engineering and reporting practices. This is an exciting opportunity for someone who would enjoy the challenge of building an analytics practice while also meaningfully translating audience data into insights and strategy. This person will play an integral role in defining and managing most elements of our analytics work: vendor/tool selection, budget management, data cataloging, ELT pipelines, orchestration, dashboarding, and modeling. They will also regularly work with stakeholders from other departments to help define key metrics and respond to a modest volume of ad-hoc reporting requests.  The ideal candidate is a strong generalist with 3-5 years of experience – preferably helping build and manage an analytics function – who...

Responsible for performing difficult or complex analysis, design and programming involving multi-project leadership and broad responsibility in support of new and existing Data Engineering Projects and production support activities. CORE DUTIES: Collaborate with IT and business partners to devise a data strategy that caters to Stanford requirements. Deep understanding and commitment to software engineering principles/processes (e.g. Lean, Agile, DevOps, CI/CD) and continuous improvement through measurement Thorough knowledge, expertise, and practice Data Management Framework to design world-class data stores. Best practices, Data Quality, and security are critical. Understand data endpoints, consumers, and develop strategy.   Fluid end-to-end data vision, design pipelines for seamless data flow. Lead and perform the design, development, implementation, and maintenance of complex Data Store/ Data Lake/Lake house and Data warehousing systems and...

The Department of Genetics in the Stanford University School of Medicine is a world-renowned hub for innovation in genomics, computational biology, and translational research. Our lab focuses on developing next-generation computational frameworks and automatic data analyses systems to analyze single-cell and spatial omics data, enabling new discoveries in developmental biology and disease modeling. We are seeking up to two Software Developer 1 to join our interdisciplinary team and support the development of a modular automatic data analyses system for automating single-cell and spatial data analysis. The ideal candidate will contribute to the design, implementation, and scaling of cloud-based applications that power predictive models of organogenesis and disease progression. This is an excellent opportunity to work at the forefront of biomedical data science, collaborating with world-class researchers, engineers, and entrepreneurs in a fast-paced academic and translational...

Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program (CTRP) are seeking a Research Data Analyst 2. Duties include: Extract clinical and operational data from internal data repositories into usable formats and develop pipeline for ongoing data extraction with new data generation, using SQL, Python, R, or other appropriate languages. Compile survey data and clinical research data into usable formats. Identify relevant publicly available datasets and registries, from the National Institutes of Health, multi-institutional collaboratives, and various other sources. Obtain and harmonize external data with local data, including activities such as converting among data storage formats, merging based on common identifiers, excluding irrelevant data, consolidating naming and labeling strategies, and generating analysis-ready datasets. Conduct feature engineering and missing data imputation as needed, and...

The Cornell Lab of Ornithology is a globally recognized leader in technology, data management, and large-scale citizen science supporting birds and biodiversity conservation. We curate more than a petabyte of digital assets, one billion bird sightings, and leverage innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature enthusiasts, researchers, conservationists, and educators. We rely on a team of high-performance engineers to help navigate intriguing technical challenges to provide data-driven services, learning platforms, and science communications supporting biodiversity and conservation communities in all corners of the globe. This role will develop technical infrastructure and services that support numerous user-facing applications, including eBird, Merlin, Macaulay Library, Birds of the World, and BirdCast.  The Opportunity Are you a tech-savvy problem solver who loves...