Operate and maintain the Room Service Call Center, provide newborn meal information and tube feeding supplements, offer clerical support, and collaborate with departments to meet patient needs effectively.

Research Data Support Specialist II, Department of Psychiatry Location: Phoenix United States Job Description: Research Data Support Specialist II, Department of Psychiatry (College of Medicine-Phoenix) Posting Number req25495 Department COM Phx Psychiatry Department Website Link College of Medicine-Phoenix Location Greater Phoenix Area Address 475 N. 5th Street, Phoenix, AZ 85004 USA Position Highlights A part-time Research Data Support Specialist II is available in the laboratory of Dr. Alexander Niculescu in the Department of Psychiatry at the University of Arizona College of Medicine-Phoenix. The successful candidate is expected to assist with designing and analyzing data within the precision medicine psychiatry laboratory. We are seeking a well-rounded, motivated and enthusiastic individual with prior experience in qPCR, bioinformatic analysis, blood biomarkers, while working in various databases (R, Python) and performing statistical programming (AWS CloudFormation, Stack). This individual should be detailed oriented, conscientious, able to follow instructions, and have the ability to communicate in a clear, concise manner orally and in writing. This is a sponsored-funded position and, as such, is housed within the College of Medicine-Phoenix, Department of Psychiatry that received the funds. While the role will collaborate closely with UITS, its primary responsibilities and funding structure align with the goals of the sponsor-supported project. The University of Arizona has been recognized for our innovative work-life programs. Duties & Responsibilities - Under Dr. Niculescu's mentorship, the successful incumbent will conduct experiments and surveys using various tests, routines, and analyses, where procedures are clearly defined and results readily determined. - Assist with qPCR, performing scientific data collections, reductions, and analyses involving routine procedures. - Preform a variety of bioinformatics analyses to identify blood-based biomarkers for suicidality, psychosis, anxiety, and ADHD using gene expression and phenotypic measures. - Maintain detailed records of studies conducted, organize data, prepare data for computer input ,and record computer output. Offload data-intensive calculations such as RNA sequencing to the cloud using programs such as, AWS S3, AWS EC2, and Docker. - Write summaries of projects, documenting findings and procedures used, and assist in writing reports by conducting literature searches and background research, prepare bibliographies as required. - Compile data and generate computerized statistical data for analytical purposes using software packages and AI, make preliminary analyses and assist in interpreting the data. - Conduct library searches to find research information on related procedures and techniques that can be used in the laboratory. - Assist with mentoring and training students/staff into the workings and processes of the lab. Knowledge, Skills, and Abilities: - Ability to communicate in a clear, concise manner orally and in writing. - Detailed oriented, conscientious, and able to follow instructions. - Knowledge of the principles and techniques of the subject discipline. - Knowledge of modern research methods, data collection and analyses. - Skill in analyzing and evaluating data. 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 is required. - Three (3) years of relevant experience, or equivalent combination of education and work experience. Preferred Qualifications - Bachelor's degree in a field of science or similar degree. - Previous research experience (internship, independent study). - Experience with qPCR. - Experience supporting development used for data analytics. - Experience utilizing R Studio, MS Excel, MS Access, Partek Flow, & Python. FLSA Non-Exempt Full Time/Part Time Part Time Number of Hours Worked per Week 10 Job FTE 0.25 Work Calendar Fiscal Job Category Research Benefits Eligible No Benefits Rate of Pay $18.15 - $22.69 Compensation Type hourly rate Grade 4 Compensation Guidance The 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. Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable) Notice of Availability of the Annual Security and Fire Safety Report In 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.

Title: Clerk, Part-time Location: San Juan, PR Service Center Pay Type Hourly, Part-Time Job ID 28480 Job Description: Job Description Assist and support Department leadership in all administrative duties to allow the leadership to focus on customer service, management, and productivity issues. Responsibilities - Serve as the department point of contact - Create and submit AFEs and invoices for payment; create check requests and scan expense reports and other miscellaneous documents - Maintain a positive attitude in a highly intense environment - Distribute department directives - Work in a team setting to accomplish department goals - Enter and submit payroll advices - Compile weekly, monthly, and quarterly reports - Direct and/or assist customers, as needed - Other duties and projects, as assigned - Assist with travel arrangements, meeting itineraries, equipment setup, etc. Requirements Education: - High School Diploma / GED Experience: - 2 years experience in an office, clerical, or administrative position, and logistics experience, preferred - Experience working in, and a knowledge of the LTL industry, preferred Computer Skills: - Proficient in Microsoft Office Suite. - Knowledge of ABF Freight's intranet, reports portal, Winja, and various applications Additional Requirements: - Project management skills; excellent organizational skills - Strong analytical and interpersonal skills - Ability to handle duties in a confidential manner - Must have excellent verbal and written communications - Must display sense of urgency, ability to work under pressure, with attention to detail; able to prioritize and multi-task in a fast paced environment Other Details Work Hours: - Generally Monday through Friday, evening, and daytime shifts. Must be willing to work evenings and on an as-needed basis. Travel Requirements: - Minimal (0%-25%) Compensation: - This is a hourly position paid weekly. About Us ABF Freight, an ArcBest company, is one of the nation's largest, most trusted less-than-truckload carriers. With over a century of experience, 240 service centers spanning North America, and an unwavering commitment to quality, safety and customer service, ABF offers best-in-class LTL transportation for companies of all sizes and industries. We're driven for excellence.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: - Craft and convey clear, impactful and engaging messages that tell a holistic story. - Apply systems thinking to identify underlying problems and/or opportunities. - Validate outcomes with clients, share alternative perspectives, and act on client feedback. - Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. - Deepen and evolve your expertise with a focus on staying relevant. - Initiate open and honest coaching conversations at all levels. - Make difficult decisions and take action to resolve issues hindering team effectiveness. - Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Platform's Data Solution team you are expected to work closely with leaders across product functions to design the analytics roadmap and to support and implement top quality data driven decisions and deliverables. As a Senior Manager you are expected to lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You are expected to develop and implement quality controls and standards to confirm data integrity and quality. Responsibilities - Design the analytics roadmap in collaboration with leaders - Support and implement data-driven decisions - Lead large projects confirming operational excellence - Interact with clients at a strategic level to drive success - Develop and implement quality controls for data integrity - Innovate processes to enhance data quality - Deliver top-quality data solutions - Foster relationships with product function leaders What You Must Have - Bachelor's Degree - At least 6 years of progressive roles managing IT architecture and engineering designs and domains - Bachelor's degree or in lieu of a degree, for each year of college not completed, demonstrate three years of specialized training and/or progressively responsible work experience in technology, in addition to the minimum years of experience required for the role. What Sets You Apart - Bachelor's Degree in Information Technology, Computer Systems Analysis, Management Information Systems, Computer Applications, Computer Engineering, Computer Programming preferred - Building relationships with clients and developing requests for information - Prioritizing and handling multiple tasks - Coaching and collaborating with colleagues - Understanding application of analytical techniques - Selecting necessary analytical techniques - Designing analytics roadmap and supporting data-driven decisions - Implementing quality controls and standards - Programming with Python and Java The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Remote