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We are looking for an aspiring and motivated Senior Software Engineer with expertise in AWS infrastructure to join the Park Lab (https://compbio.hms.harvard.edu) in the Department of Biomedical Informatics at Harvard Medical School. This software engineer will help build platforms that manage a large amount of DNA sequencing data for advancing scientific research and their clinical application by scientists worldwide. The Park Lab has developed the Data Portal for the SMaHT (Somatic Mosaicism across Human Tissues, https://data.smaht.org) consortium, an NIH-funded project to characterize somatic mutations in human tissues, launched in 2023. This platform builds on the 4D Nucleome Data Portal (https://data.4dnucleome.org/) we have built (2015-2025). These data portals are scalable web-based applications for analysis, annotation, visualization, and reporting of genomic data, based on an AWS back-end. We are looking for an experienced senior software engineer who wants:...

Job Title: Institutional Research Manager Job ID: 29949 Location: LaGuardia Community College Full/Part Time: Full-Time Regular/Temporary: Regular POSITION DETAILS Founded in 1971 in Long Island City, Queens, LaGuardia Community College is one of seven community colleges of the City University of New York/CUNY. LaGuardia offers more than sixty associate degree and certificate programs, as well as dozens of workforce training, ESOL, GED, and pre-college programs. In 2023, LaGuardia served approximately 25,000 students. More than one-third of our degree-seeking students were born outside of the United States, coming to LaGuardia from 136 countries and speaking forty-three heritage languages. More than half are first-generation college students. Sixty-nine percent live in Queens; the rest live in Brooklyn and beyond. Approximately two-thirds of our degree students receive financial aid. Since forty-five percent of them identify as Hispanic, the US...

Do you want to be part of the team that brings Artificial Intelligence (AI) technology to the field? We are looking for a Solution Architect or Data Scientist to join the NVIDIA AI Enterprise (NVAIE) SA Segment team. We specialize on the newest technology and advances in Machine Learning, Deep Learning, Accelerated Data Analytics and Cloud. The vision of the NVAIE Segment team is to use our deep expertise to guide and enable the successful adoption at scale of NVIDIA AI Enterprise Software in production! Digital Humans revolutionize enterprise applications by integrating animated, lifelike avatars that serve as interactive interfaces. These digital personas enable more dynamic and human-like interactions, offering users a far more engaging and intuitive experience compared to traditional text-based or static interfaces. This shift allows businesses to optimize workflows, reduce time spent on repetitive tasks, and ensure their teams spend more time on innovation and critical...

We are looking for a Staff Software Engineer - Data Science Platform. At NVIDIA, we pride ourselves on data-driven decision-making, and the data science team is at the heart of this initiative. We are looking for an excellent Software engineer with extensive data platform engineering experience for our data science platform supporting NVIDIA’s cloud platform services. Our data science platform serves as the basis for advanced real time data analytics, streaming, data lake, accelerated data processing and ML/AI training for NVIDIA’s cloud services. What you’ll be doing: They design and deliver essential, high-performance services and libraries. Build streaming data pipelines for collecting & processing data from multiple data sources: from the point of ingestion to useful insights Design and build data Lakehouse architecture for our customers Partner with our other engineering and business teams to integrate your amazing innovations and...

Work remotely as a Senior Recruiting Partner while being fluid between client development, candidate representation, and full-desk recruitment. You'll earn one of the highest rates in the industry and gain access to our corporate-level resources to support your success. About We are a funded startup building a nationwide team of recruiting partners driven by a passion for connecting exceptional talent with the right opportunities. Collaborate with an ambitious, highly skilled team while leveraging our corporate infrastructure, including: operations, technology, legal, billing, collections, and virtual meetings. Responsibilities Generate qualified leads and requisitions for job orders with clients. Interview candidates by video or phone to assess skills and background. Identify, evaluate, screen, and present top talent to clients. Manage the full recruitment cycle from sourcing to placement. Build and maintain strong relationships with candidates and...

Are you looking for a rewarding career where you can learn and grow? If so, you may be the perfect fit for the Analyst II - Technology Operations position at Walmart! As an Analyst II - Technology Operations, you would be responsible for working on mass data changes within Workday, supporting the development of business cases and recommendations, supporting process updates and changes, and understanding the relevant data and metrics that impact the business. Location: This position will be fully onsite in Bentonville, AR You’ll make an impact by… Identifying and reporting gaps across subdomains for potential innovation opportunities. Demonstrating awareness of new processes and automation techniques. Supporting the preparation of documentation under guidance and supervision. Identifying major categories of business risks and utilizing organizational resources for risk avoidance and management. You’ll sweep us off our feet if…...

The Healthcare Quality and Outcomes Lab (HQO) at the Harvard T.H. Chan School of Public Health, Department of Health Policy and Management is a research center focused on producing actionable evidence to promote quality, equity, and resilience across health care delivery systems. HQO brings together a multidisciplinary team of physicians, health policy researchers, health economists, biostatisticians, and data science experts across the Harvard T.H. Chan School of Public Health and Harvard-affiliated teaching hospitals to evaluate and inform national and international health reform efforts. HQO faculty members seek an energetic and organized individual to assist with a portfolio of multidisciplinary health policy and health services research projects. Our research team uses Medicare and other large national claims datasets to evaluate the effectiveness and unintended consequences of US health reform. Project topics include, but are not limited to: Variations in cost,...

The Office of the Vice Provost for Advances in Learning (VPAL) is dedicated to transforming the landscape of education by pioneering innovative methods that foster competence, curiosity, and confidence among learners globally. We aim to create engaging and scalable learning experiences, inspire groundbreaking ideas, and connect a worldwide community of learners—all while developing tools, technologies, platforms, and policies that streamline the learning process. We are seeking a Manager of Data Engineering to serve as the technical leader on our Data and Technology Team. This team addresses VPAL’s data requirements related to its online learning initiatives and Harvard’s new custom online learning experience platform. The ideal candidate will possess significant expertise in data architecture, data warehousing, and data pipeline and ETL processes, and will excel in navigating complex, distributed environments. How You’ll Contribute: Reporting to...

Duties: Partner with C-suite, corporate strategy, finance, marketing, merchandising, research, product, data science, and analytics organizations to drive outcomes and influence strategic and tactical decision-making. Identify, collect, and explore large amounts of data used for predictive modeling and algorithm development while performing developments using statistical and modeling techniques. Develop and implement quantitative analyses, predictive models, and customer KPIs to uncover insights on the customer journey and identify cause-effect relationships between business actions and customer outcomes. Identify high value customer actions across Walmart products/services that will help Walmart meet customer needs. Evaluate behaviors and actions that unlock incremental value by leveraging causal analysis methodologies. Translate and simplify data-informed insights into actionable business recommendations, implications, and relevant data products. Develop...

Job Title: Dean for Institutional Effectiveness Job ID: 29960 Location: LaGuardia Community College Full/Part Time: Full-Time Regular/Temporary: Regular POSITION DETAILS Founded in 1971 in Long Island City, Queens, LaGuardia Community College is one of seven community colleges of the City University of New York/CUNY. LaGuardia offers more than sixty associate degree and certificate programs, as well as dozens of workforce training, ESOL, GED, and pre-college programs. In 2023, LaGuardia served approximately 25,000 students. More than one-third of our degree-seeking students were born outside of the United States, coming to LaGuardia from 136 countries and speaking forty-three heritage languages. More than half are first-generation college students. Sixty-nine percent live in Queens; the rest live in Brooklyn and beyond. Approximately two-thirds of our degree students receive financial aid. Since forty-five percent of them identify as Hispanic, the US...

Your role in helping us shape the future: U.S. News empowers everyone to thrive. As a data analyst on our Money team, you will collaborate closely with a cross-functional team to guide the development of products and services from conception to launch, and engage closely with our partnerships and editorial teams to help maximize success on both fronts. The primary responsibilities of the Data Analyst are Providing tactical support to product managers through the entire development lifecycle, including assisting with technical specifications and QA. Analyzing key metrics to understand product performance, including running A/B tests, predictive modeling, and dashboard development Generate revenue yield analysis and recommendations on partner campaigns/budgets (including both paid media and on page placements across the US News experience) Access and manipulate large external datasets to enable our editorial experts to publish unique data...

The NVIDIA Operations organization is seeking an experienced technology professional for the position of Senior Data Engineer to support initiatives for Operations. As a Data Engineer on our team, you will be an integral part of the Data and Advanced Analytics organization in Operations that is building the Operations Data Platform to turn data into business insights and results. What you'll be doing: Develop and implement the new End-to-End Data systems for our Planning, Logistics and Services, and Sourcing initiatives Lead discussions with stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases Build data pipelines to transport data from a data source to the data lake Analyze and organize raw operational data including structured and unstructured data Build data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood...

  i-team Data Analytics Manager   The Bloomberg Center for Public Innovation at Johns Hopkins University seeks an i-team Data Analytics Manager to support new Innovation Teams (“i-teams”) in Jackson, MS , and Nashville, TN . These teams collaborate closely with city leadership to address complex urban challenges through data-driven strategies and community engagement. Key Responsibilities   Develop and implement data analytics approaches to understand and address complex city issues. Collaborate with city officials, departments, and community stakeholders to identify data needs and opportunities. Utilize programming languages (e.g., Python) or statistical packages (e.g., R) to analyze data and generate insights. Translate data findings into actionable strategies and communicate results to diverse audiences. Contribute to the innovation process beyond quantitative analysis, including stakeholder engagement and solution...