• Expert practitioner in AI/ML, Generative Artificial Intelligence, Machine Learning, Deep Learning, and related fields
• Technical individual contributor on the Data Science Team
• Learn continuously to stay current on cutting-edge AI/ML technology
• Identify and understand business problems, define data requirements, formulate, build, and communicate AI/ML solutions concisely
• Contribute to development of MLOps platform
• Bring Data Science perspective working with Product Management Team to design and create self-service solutions for business clients leveraging products built on the MLOps platform
• Foster a strong network with business and functional partners to drive AI/ML adoption

• Expertise using Deep Learning in applications such as image analysis
• Experience in Generative AI including Retrieval Augmented Generation using Large Language Models
• Excellent communication and interpersonal skills to act as a translator of complex technical topics to simple language with business partners
• Ability to collaborate with business partners to drive adoption
• Geographic Information Systems experience is a plus
• Ability to work independently and within a team to tackle meaningful problems
• Valid Drivers' License and good driving record required.

• Design, implement, and support enterprise-grade LAN/WAN and SD-WAN networks
• Administer and troubleshoot Cisco ACI fabric, ensuring smooth network operations
• Perform network performance analysis, traffic engineering, and optimization
• Lead incident resolution for escalated network issues and perform root cause analysis
• Maintain strong documentation including network diagrams, SOPs, and change logs
• Collaborate with cross-functional teams including security, infrastructure, and application teams
• Ensure security best practices are applied across all network layers
• Participate in capacity planning and infrastructure upgrades
• Support change management and service delivery within established SLAs

• 10+ years of experience in network engineering roles with increasing responsibilities
• Strong technical expertise in LAN/WAN, routing, switching, and SD-WAN technologies
• Hands-on experience with Cisco ACI environments (configuration, monitoring, troubleshooting)
• Solid understanding of network security concepts and tools
• Familiarity with enterprise monitoring and management platforms
• Excellent troubleshooting skills and the ability to handle high-priority incidents independently
• Strong communication and documentation skills
• Relevant certifications such as CCNP, CCIE, or equivalent needed

Additional Links:

• This position is Benefit eligible; click here for an overview of available benefits.
• This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
• This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
• UConn Health

PURPOSE OF CLASS:

At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports.

**Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa's or candidates that cannot relocate to Connecticut at this time.

SUPERVISION RECEIVED:

Works under the general supervision of a higher grade.

EXAMPLES OF DUTIES:

Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;

Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;

Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;

Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;

Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;

Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;

Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;

Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;

Performs other related duties as required.

KNOWLEDGE, SKILLS AND ABILITIES:

Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;

Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;

Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications;

Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;

Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;

Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;

Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;

Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;

Proven ability to communicate complex data analytics using clear and concise methods and presentation media.

EXPERIENCE AND TRAINING:

GENERAL EXPERIENCE:

Six (6) years of experience in a healthcare data analytical role.

SUBSTITUTION ALLOWED:

Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.

PREFERRED QUALIFICATIONS:

Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.

Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.

Experience with Epic electronic medical records platform.

Experience with data analytics related to value-based programs.

SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm.

Why UConn Health

UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

• Providing real-time awareness, early warning, and operational readiness to defend Zoom against global cyber threats
• Developing and maintaining adversary profiles and mapping threat activity using frameworks such as MITRE ATT&CK, Cyber Kill Chain, and Diamond Model
• Performing technical threat intelligence analysis to collect, enrich, and evaluate threat information to identify malicious activity and support detection and response efforts
• Researching, writing, and disseminating intelligence products using structured analytic techniques tailored to both technical and non-technical stakeholders
• Delivering briefings, presentations, and written reports to senior and executive leadership to inform strategic decision-making and drive security recommendations
• Identifying collection gaps and employing intelligence-gathering methods across open and closed sources
• Working closely with peer security teams to provide contextual threat intelligence, triage potential incidents, and assess the impact of threats to Zoom. Building and maintaining intelligence-sharing partnerships with internal and external stakeholders.
• Collaborating with cross-functional security teams to provide timely, actionable threat intelligence that enhances Zoom's defensive posture and drives leadership decision-making

• Have extensive experience in cyber threat intelligence, threat hunting, or related cybersecurity discipline within an operational and tactical setting.
• Have a good technical understanding of attacker tradecraft, common attack vectors, and tactics, techniques, and procedures attackers use to propagate across systems and networks
• Have proven experience in research, writing, and publishing analytic reports for both technical and non-technical audiences
• Possess good knowledge and hands-on experience with threat intelligence frameworks. This includes tools used to identify and track adversary behavior and tradecraft, such as MITRE ATT&CK, the Cyber Kill Chain, and the Diamond Model.
• Have hand-on experience using threat intelligence platforms and SIEMs
• Have experience participating in incident response, threat investigations, and escalating detection recommendations to enhance security posture
• Able to demonstrate the ability to work cross-functionally with security, engineering, and product teams
• Have knowledge of intelligence collection methodologies and management

• Home-based remote work opportunities
• Great work/life balance
• Collaborate on projects and innovations with industry leaders in the Pharma and CRO sectors
• Cohesive team environment fostering a collaborative approach to study work
• Variety of therapeutic areas, indications and, study phases
• Job stability; long-term engagements and development opportunities
• Career advancement opportunities

• Develop, test, and validate clinical data programs and applications.
• Ensure compliance with CDISC SDTM standards for clinical data.
• Utilize visualization tools such as Spotfire or other similar tools to create insightful data visualizations.
• Write and maintain Python scripts for data manipulation and analysis.
• Collaborate with cross-functional teams to support clinical data needs.
• Provide technical guidance and mentorship to junior programmers.
• Participate in the development and implementation of data management plans.
• Troubleshoot and resolve programming issues in a timely manner.

• Bachelor’s or master’s degree in computer science, Statistics, Data Science, or a related field
• Minimum 5+ years’ hands-on experience in clinical trials or life sciences industry
• 3+ years’ extensive experience in clinical data programming and Data Visualization using tools such as Python, Spotfire, or similar.
• Python programming skill is Mandatory.
• Experience with PySpark, Databricks is preferred.
• Proficiency in CDISC SDTM standards.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage multiple tasks simultaneously.

About the Role (Meta-specific):

Responsibilities:

• Collaboration with Data Science/Engineering: Work closely with Meta Reality Labs' data science and engineering teams to communicate sales reporting needs, provide guidance on tooling requirements, and ensure alignment between data capabilities and business objectives.
• Rhythm of Business Reporting:  Develop and maintain continuous reporting processes that provide a clear and comprehensive view of Reality Labs' business performance.  Focus on agility and identify how business operations impact sales outcomes. Create impactful data visualizations to effectively communicate key metrics and trends to stakeholders.
• Insights to Action:  Conduct ad hoc analyses to address specific business questions and challenges. Apply critical thinking and sales analytics expertise to develop data-driven recommendations for senior sales leaders. Propose adjustments to sales models to optimize operational plans and identify areas for efficiency improvement.

Qualifications:

• Strong analytical and problem-solving skills with a proven ability to translate data into actionable insights.
• Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
• Excellent communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams.   
• Experience working with large datasets and cloud-based data platforms.

Preferred Qualifications in any of this:

• Experience in one or more of the following channels:

• • Direct to Consumer
  • Business-to-Business
  • Commercial Sales

• Familiarity with statistical modeling techniques.
• Experience with data storytelling and presentation skills.

About Quora:

• Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
• Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

About the Team and Role:

• https://poe.com/blog/report-early-2025-ai-ecosystem-trends

Responsibilities:

• Collaborate closely with cross-functional teams (design, product, data science, QA, and engineering) to advise on product roadmap and create innovative features and user experiences for bot creators
• Iterate on our developer APIs using best practices for performance and reliability
• Be a champion for both user experience and for sustainable, scalable code practices
• Collaborate closely with LLM providers to easily integrate new LLMs on Poe
• Participate in on-call responsibilities to ensure Poe provides a reliable and high quality product

Minimum Requirements:

• Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
• A passion for learning and always improving yourself and the team around you
• Strong communication and interpersonal skills

Preferred Requirements:

• Passion for Poe and Quora's products and mission
• Passionate about API design, the developer ecosystem and overall developer experience
• Passion for code quality and designing elegant systems

Additional Information:

• US candidates only: For US based applicants, the salary range is $155,656 - $225,160 USD + equity + benefits.
• Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $202,383 - $278,361 CAD + equity + benefits. For all other locations in Canada, the salary range is $188,891 - $259,803 CAD + equity + benefits.

• Bachelors degree or equivalent amount of education and work experience.
• One (1) plus years of work experience related to software development and containerized applications with a focus on CI/CD and application monitoring.

• Experience with DevOps (CI/CD) pipeline concepts and tools such as GitHub, Gitlab, Docker, and Jenkins.
• Experience with one or more scripting languages (Bash, Python, Go).
• Understanding of Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
• Familiarity with configuration management systems (Ansible) to automate infrastructure provisioning and application deployment tasks across varied language stacks.
• Proficient in source code management using Git, including branching strategies, merging workflows, and code reviews for projects in Python, PHP, JavaScript, and SQL.
• Familiarity with various methods to audit site performance, monitor uptime and prevent intrusion preferred.
• Knowledge of networking fundamentals and experience troubleshooting web server connections and routing.
• Familiarity with AWS, Azure, or other cloud hosting preferred.
• Experience with WordPress, Django, and identity providers, such as Azure Entra.
• Experience documenting systems, architecture and solutions.
• Excellent communication skills, the ability to work well with others and independently as necessary.
• Ability to prioritize projects, evaluate requests and offer solutions.

• Work with web development and marketing technology/platform teams to assist with assist with on-premise and cloud containerized deployments, automating the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner.
• Work with central IT to ensure proper security, code review and University development best practice is followed.
• Break/fix incident response and support of division, campus community, and external vendor partners.
• Craft process, best practice and support documentation as required.
• Quality assurance (QA) test sites and systems in collaboration with web development team for functionality and accessibility.

Executive Summary The Cloud Security Engineer will work closely with the Integration Modernization team to design, implement, and monitor security measures across various integration tools. They will ensure the integrity, confidentiality, and availability of data as it flows between systems. The security engineer will also assist in defining policies and best practices for integrating TIBCO, APIGEE, Kafka, and any future tools. This role will involve both strategic planning and tactical implementation. Key responsibilities include:

• Tool and Platform Security:
  • Ensure security configurations of TIBCO, APIGEE, Kafka, and other integration tools are aligned with industry standards and organizational policies.
  • Manage security integrations with Ulta's identity management systems

• Monitoring and Incident Response:
  • Set up continuous monitoring for security events and anomalies across the integration platforms.
  • Respond to security incidents and provide remediation guidance in the event of breaches or vulnerabilities.

• Compliance and Auditing:
  • Ensure compliance with relevant industry standards and regulations (e.g., GDPR, HIPAA, SOC 2, etc.) for the tools and services in use.
  • Conduct regular audits of security controls and recommend improvements as needed.

• Documentation and Knowledge Transfer:
  • Maintain up-to-date security documentation for each platform transferring monitoring and incident response to the Security Operations Center.
  • Conduct knowledge transfer sessions for the wider IT and security teams to ensure ongoing security practices are followed.

Skills and Experience Required The ideal candidate will have a combination of the following skills and experience: Technical Skills:

• Cloud Security Expertise: Experience securing cloud-based architectures, including AWS, Azure, or Google Cloud.
• Integration Platforms: Deep knowledge of integration tools such as TIBCO, APIGEE, and Kafka with a focus on security.
• API Security: Expertise in securing APIs using industry-standard protocols (OAuth 2.0, OpenID Connect, JWT, etc.).
• Network Security: Knowledge of securing microservices, messaging systems, and network communication in hybrid and multi-cloud environments.

• Information Technology (IT)
• Revenue Cycle Management (RCM)
• Electronic Health Records (EHR)

• Design, develop, and maintain Power BI dashboards and reports.
• Perform data analysis and data modeling to create insightful reports.
• Interact with stakeholders to understand their business needs and goals.
• Provide training and support to business users in the effective use of Power BI dashboards.
• Extract, transform, and load (ETL) data from various sources into Power BI.
• Ensure data accuracy and consistent reporting by designing and creating data validation and error-checking methods.
• Integrate Power BI reports into other applications using embedded analytics or API automation.
• Optimize Power BI dashboards for usability, performance, and standardization.
• Maintain documentation for all functional and business requirements.
• Ensure compliance with data security and relevant regulations.

• A bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• Proven experience in data analysis and business intelligence, specifically with Power BI.
• Proficiency in Power BI, including Power Query, DAX, and Power BI Service.
• Strong knowledge of SQL and data modeling.
• Familiarity with ETL (Extract, Transform, Load) processes.
• Familiarity with multiple data source types including flat file, SQL, REST API, etc.
• Experience with other BI tools (e.g., Tableau, Qlik) are a plus.
• Ability to work independently and on a team.

• While performing the duties of this job, the employee may be regularly required to sit, talk, hear, and use hands and fingers to operate a computer, telephone, and keyboard.
• Specific vision abilities required by this job include close vision requirements due to computer work.

• Understanding of cloud native applications best practices such as using infrastructure-as-code.
• Basic understanding of security controls (e.g. IAM) within cloud environments
• Knowledge of common security weaknesses and associated mitigations within modern applications
• Ability to pragmatically suggest security controls
• Good personal communications style in line with ITV's culture
• Work autonomously and in a team, be inquisitive and demonstrate initiative in identifying and resolving problems across the business

• Using programming languages to develop serverless functions to interact with security services
• Creating event-driven architectures within AWS using infrastructure-as-code tooling
• Responding to notifications of system failure to identify and remediate issues for Security Engineering’s developed services
• Integration commercial security tooling into ITV’s technology estate
• Proactively identifying risks to our cloud environments and implementing mitigations
• Identifying and suggesting security improvements that can be made to technologies, processes, and new initiatives
• Feeding into the plan and strategy for delivering cyber awareness training and cyber events across ITV

• Flexible working with a range of options
• Generous holiday allowance, plus you can buy more
• Annual bonus opportunity
• Competitive pension contribution
• Save as you earn - with an opportunity to buy ITV shares
• Wellbeing and volunteering days plus a wide range of opportunities to help you live a balanced and healthy life