Title: Diet Clerk - PT - Encinitas Location: Encinitas United States Job Description: Scripps Memorial Hospital Encinitas has served North County's coastal communities since 1978. We're located at Santa Fe Drive and I-5, within walking distance of a park, fitness center, grocery store, pharmacy and restaurants. Scripps Memorial Hospital Encinitas' campus includes Scripps Clinic Encinitas and an outpatient imaging center. We're home to notable specialty programs including a 24-hour emergency room, accredited stroke care, physical rehabilitation services (including a brain injury day treatment program), our Baby Friendly birthing pavilion and a Level II neonatal intensive care unit. This is a part-time, fully benefitted position located at our Scripps Memorial campus in Encinitas. Must be available to work a varied shift (start time will be dependent upon the department's need) and varied schedule including weekends. Join the Scripps Health team and work alongside passionate caregivers and provide patient-centered healthcare. Receive endless appreciation while you build a rewarding career with one of the most respected healthcare organizations nationwide. Why join Scripps Health? At Scripps Health, your ambition is empowered, and your abilities are appreciated: - Nearly a quarter of our employees have been with Scripps Health for over 10 years. - Scripps is a Great Place to Work Certified company for 2025. - Scripps Health has been consistently ranked as a top employer for women, millennials, diversity, and as an overall workplace by various national publications. - Beckers Healthcare ranked Scripps Health on its 2024 list of 150 top places to work in health care. - We have transitional and professional development programs to create a learning environment that enables you to thrive in your specific field as well as in your overall career. - Our specialties have been nationally recognized for quality in areas such as cardiovascular care, oncology, orthopedics, geriatrics, obstetrics and gynecology, and gastroenterology. Great opportunity for a Diet Clerk to join our Encinitas Team. Scripps Memorial Hospital Encinitas has served the growing communities of San Diego's coastal North County since 1978. We are a community hospital with a friendly environment. Our Diet Clerks provide administrative and clerical support for Food and Nutrition Services. Responsibilities include processing diet orders, assisting patients with menu selections, and distinguishing between food and medication allergies, Maintains current diet orders and menus to ensure compliance to the physician diet order. Checks tray line for patient tray accuracy. Able to function effectively in a call center environment. Serves as a liaison between Nursing and Food and Nutrition Services departments handling patient complaints, food issues and basic questions about meals/diets. Required Qualifications: - Must be able to speak, read, and write English - SD County Food Handler Card; or Food Safety Certificate, or able to pass Food Handlers test given by certified manager or designee within 30 days of hire. Preferred Qualifications: - Food Service experience - Food Service experience in a healthcare setting - College courses in nutrition - Experience in customer service At Scripps Health, you will experience the pride, support and respect of an organization that has been repeatedly recognized as one of the nation's Top 100 Places to Work. You'll be surrounded by people committed to making a difference in the lives of their patients and their teammates. So if you're open to change, go ahead and unlock your potential. Position Pay Range: $25.48-$30.89/hour

Bioinformatics Research Data Support Specialist Location: United States Job Description: Posting Numberreq26217 DepartmentAnimal&Biomedical Sciences-Res Department Website LinkAnimal & Biomedical Sciences LocationTo Be Determined AddressUSA Position HighlightsThe Research Data Support Specialist II will support research activities in the Computational Zoonoses Lab within the School of Animal and Comparative Biomedical Sciences of the University of Arizona by processing, organizing, and analyzing pathogen genomic datasets. The position assists in maintaining bioinformatics pipelines, managing research data, and generating analytical outputs that support research projects focused on zoonotic infectious diseases. This role collaborates with laboratory researchers to ensure data quality, reproducible analyses, and proper documentation of computational workflows. Remote work available within Arizona. Visa sponsorship is not available for this position. The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here. Duties & Responsibilities Genomic Data Processing and Analysis: Process and analyze genomic datasets using established bioinformatics tools and computational workflows to support research projects investigating zoonotic pathogens. Bioinformatics Pipeline Development and Maintenance: Assist in developing, implementing, updating, and troubleshooting bioinformatics pipelines used for genomic data processing and analysis. Research Data Organization and Reporting: Organize and manage research datasets, generate data summaries and visualizations, and assist in preparing analytical outputs that support research reports and publications. Documentation and Data Management: Maintain documentation of computational workflows, analysis pipelines, and software tools to ensure reproducibility and consistency of research analyses. Research Collaboration and Technical Support: Collaborate with laboratory members and research partners to support data analysis, troubleshoot computational workflows, and contribute to ongoing research initiatives. Knowledge, Skills and Abilities - Knowledge of bioinformatics methods for genomic data analysis. - Ability to manage and analyze large biological datasets. - Programming and scripting skills in Python and related bioinformatics tools. - Experience working in Linux-based computational environments. - Ability to develop and maintain reproducible computational workflows. - Strong analytical and problem-solving skills. - Strong communication and collaboration skills in interdisciplinary research teams. This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve. Minimum Qualifications - High school diploma or high school diploma equivalency. - Minimum of 3 years of relevant experience, or equivalent combination of education and work experience. Preferred Qualifications - Bachelor's degree in Bioinformatics, Computational Biology or a related field. - Experience working with genomic dataset. - Proficiency in Python or other scripting languages used in bioinformatics. - Experience working in Linux-based computational environments. - Experience using workflow management tools such a Nextflow or similar systems for bioinformatics analysis pipelines. FLSANon-Exempt Full Time/Part TimePart Time Number of Hours Worked per Week7 Job FTE.175 Work CalendarFiscal Job CategoryResearch Benefits EligibleNo Benefits Rate of Pay$18.15 - $22.69 Compensation Typehourly rate Grade4 Compensation GuidanceThe Rate of Pay Field represents the University of Arizona’s good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, key skills, and internal equity. The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator. Career Stream and LevelOC2 Job FamilyResearch & Data Analysis Job FunctionResearch Type of criminal background check required:Name-based criminal background check (non-security sensitive) Number of Vacancies1 Target Hire Date8/17/2026 Expected End Date Contact Information for CandidatesLiliana Salvador lilianasalvador@arizona.edu Open Date6/9/2026 Open Until FilledYes Documents Needed to ApplyResume and Cover Letter Special Instructions to Applicant Notice of Availability of the Annual Security and Fire Safety ReportIn compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures. Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

Role Description Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to uncover meaningful trends, conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance, and challenge the team with insights they aren't currently seeing. This is NOT a role for someone who wants to build dashboards and hand them off, it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Outcomes (Performance Expectations) - 30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, identifying discrepancies, redundancies, and inconsistencies across existing dashboards and beginning to develop a roadmap to standardize reporting across your verticals. - 60 Days in: Bridging business context and data understanding by being able to articulate how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context. - 90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established. - 6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team. - Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings. Qualifications - Expert SQL & Comfortable with Unstructured Complex Data: Extracts accurate insights from raw, unstructured data without relying on clean models. - Reporting Ownership & Data Literacy: Builds, standardizes, drives adoption, and leaves teams more data-literate. - Performance Marketing Optimization: Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session. - Advanced LookML Development (or equivalent in Power BI / Tableau): Architects complex models with full understanding of downstream impacts. - Curiosity & Business Depth: Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder. Requirements - Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. - Experience owning reporting end-to-end, from pipeline to dashboard. - Ability to work with messy, complex, third-party data. - Experience partnering closely with business teams to uncover meaningful trends, conduct retrospective analyses, and connect data work to decisions that actually moved the business. Benefits - Base salary: $120,000 to $150,000 per year, paid semi-monthly. - Compensation package includes a base salary, profit-sharing bonus, and competitive benefits. - Performance-driven company: Future increases based on company and personal performance, not annual cost of living adjustments. Company Description Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Role Description SewerAI is looking for sharp, highly computer-proficient individuals to join our operations team. In this role, you'll review and code video and visual inspection data using specialized internal tools and NASSCO coding standards — playing a direct role in helping cities and utilities manage critical underground infrastructure. This work requires speed, precision, and the ability to quickly master structured rules in a fast-moving production environment. - Review, interpret, and code sewer inspection video data according to defined NASSCO visual standards - Navigate multiple software tools and interfaces efficiently - Maintain high accuracy while working at a sustained pace - Apply detailed coding rules consistently across large volumes of data Qualifications - High school diploma or equivalent - Typing speed of 80+ WPM - Strong computer fluency — PC gamers, streamers, and anyone deeply comfortable in digital environments tend to thrive here - Valid NASSCO Certificate with demonstrated fluency in PACP/LACP/MACP - Ability to learn complex systems quickly and apply feedback in real time - High attention to detail and comfort with repetitive, rules-based work Requirements - Paid, on-the-job training provided - Structured ramp-up period with clear productivity and accuracy benchmarks - Regular coaching and feedback to support rapid skill development - Advancement to full production responsibilities based on demonstrated performance Benefits - Starting pay: $25/hour - Temp-to-hire: Temporary role with the intent to convert to full-time after 3 months, based on performance and business need Company Description SewerAI is transforming underground infrastructure management through AI-powered inspection and risk analysis. Our platform helps contractors, engineering firms, and utilities unlock valuable insights from sewer inspection data—turning hours of manual video review into actionable intelligence in minutes. After doubling our customer base over the past year, we’re now entering an exciting phase of accelerated growth. SewerAI is proud to be an Equal Opportunity Employer. We are committed to providing a workplace free from discrimination or harassment on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. All your information will be kept confidential according to EEO guidelines.