Entity: Oracle America, Inc. Job Duties: Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. May telecommute. (385.34516) Employer will accept a Master’s degree in Computer Science, Engineering, or related technical field and 3 years of experience in the job offered or in a Data Scientist-related occupation. Position requires: 1. Data science programming languages including R and Python; 2. SQL, RDBMS, query optimization concepts and experience in querying and manipulating data for analysis; 3. Data visualization, dashboarding and reporting using tools including Tableau, Looker, and Matplotlib; 4. Statistical Data analysis including quantitative analysis, statistical data mining, data insights, KPI dashboard, predictive modelling, data manipulation, data modeling, and EDA (Exploratory Data Analysis); 5. Machine Learning algorithms including decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, graph data modeling, cross-validation, and model evaluation; 6. ETL and ELT, data warehousing and big data concepts; 7. Cloud Platforms including Amazon Web services and Google cloud platform; 8. Development on IDE including Pycharm and Jupyter Notebook; and, 9. Agile Methodologies including Kanban and SCRUM. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Role Description Lead Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms, and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass: - Devising strategies, executing plans, and operationalizing solutions. - Articulating tangible business outcomes achieved. - Collaborating with cross-functional teams and conveying discoveries to both technical and non-technical stakeholders. - Staying up-to-date with industry advancements, ensuring data quality and security. - Providing guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Qualifications - Experience in leading the analysis and modeling of different datasets and overseeing the inception to deploying and productionizing the models. - Experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization, and other data science techniques to implement end-to-end data science projects. - Understanding of specialized areas of AI with a specialty in at least one (e.g., NLP, computer vision, Generative AI). - Experience with R, Python, or equivalent statistical/data analysis tools, capable of writing production-ready code that is easy to evolve and test. - Ability to gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. - Experience analyzing datasets using statistical and visualization techniques to identify patterns, trends, and relationships. - Development and implementation of machine learning models, algorithms, and predictive analytics to solve specific business problems or improve existing processes. - Evaluation of model performance using appropriate metrics and validation of models to ensure robustness and reliability. - Ability to interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations, and visualizations. - Ensuring compliance with data privacy regulations and ethical standards when handling sensitive information. Requirements - Understanding the importance of stakeholder management and ability to liaise between clients and other key stakeholders throughout projects. - Resilience in ambiguous situations and adaptability in approaching challenges from multiple perspectives. - Willingness to take on risks or conflicts and skillfully manage them. - Eagerness to coach, mentor, and motivate others, aspiring to influence teammates positively. - Proven leadership with a track record of encouraging teammates in their professional development and relationships. - Natural ability to cultivate strong partnerships and understand the importance of relationship building. Benefits - Support for career development through interactive tools and numerous development programs. - Empowerment in career journeys with a focus on helping each other grow.

Role Description We are seeking a talented professional to carry out projects in imaging AI, informatics, health information technology and data science. The Research Data Curator will be responsible for collecting, processing and publishing medical imaging and related information for use in research. - Manage collection, curation and maintenance of imaging data and related resources for AI research efforts. - Oversee RSNA data ingestion tools and processes to organize, manage and prepare data submitted by contributing sites for publication. - Provide consultation to data contributing sites regarding data submission requirements, processes and tools. - Investigate and advise RSNA staff on platforms and tools for research data publication. - Report regularly to Director of Informatics, project teams, oversight committees and collaborating organizations on project status, progress and issues. - Research and evaluate new technologies to support project work. Qualifications - BS or equivalent with preference for medical informatics or related technical field. - Two years or more of direct AI, medical imaging or informatics project experience preferred. - Experience working with medical imaging and other clinical data. - Problem solving ability and project management skills. - Detail oriented with excellent organizational skills. - Ability to work effectively in collaboration with staff and volunteers. - Self-directed with personal initiative and good judgment. - Strong written and oral communication skills. Requirements - To apply, you should include a CV and a cover letter describing your scientific background and interest in editorial and evaluative roles in scholarly publishing. - While some roles may require proximity to our Oak Brook, IL office, roles based outside of our Oak Brook, IL office can sit in any of the following states: AZ, CA, FL, GA, IL, IN, KS, MD, NC, NY, OH, OR, TX, VA, VT, WA, WI and Washington, D.C. - Please only apply if you are able to live and work full-time in one of the states listed above. - State locations and specifics are subject to change as our hiring requirements shift. - All salaried ranges are standardized nationwide and will not vary by region. Company Description The Radiological Society of North America is an equal opportunity employer and prohibits discrimination and harassment of any kind. RSNA is committed to hiring and employing qualified people without regard to race, color, religion, sex, marital status, national origin, age, disability, veteran status, citizenship status, genetic information, sexual orientation, unfavorable military discharge, ancestry, order of protection status, pregnancy, or any other legally protected characteristic. All employment decisions at RSNA are based on business needs, job requirements, and individual qualifications.

• Manage each of the data management projects to which assigned; provide leadership to the corresponding data management teams. • Represent WCT in all dealings with Sponsors with respect to the Data Management aspects of the projects to which assigned. • Liaise with the Director, Data Management at regular intervals to discuss progress and any issues outstanding. • Take responsibility for staff training for all projects to which assigned; both direct involvement in training and supervision of staff assigned to training. • Ensure that all data management operations are conducted to WCT SOPs; contribute to the ongoing revision/improvement of these SOPs. • Create and review project specific documentation for assigned trials, i.e. the Data Management Plan and the Data Management File. • To ensure that adequate QC checks (including spot checks) and Database Quality Assessments on the clinical databases of assigned projects.