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DATA INTEGRITY COORDINATOR, GIFT ACCOUNT, Development & Alumni Relations, GiftsCategoryJob Location BOSTON, MA, United States Tracking Code 25500029830909 Posted Date 9/12/2025 Salary Grade Grade 26 Expected Hiring Range Minimum $26.37 Expected Hiring Range Maximum $27.47 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular Our Mission We in Boston University Development & Alumni Relations (DAR) harness the power of philanthropy to make an excellent education accessible and welcoming to all, and to advance BU's global leadership in research, scholarship, artistic creation, and professional practice. To support our work, we have built-and are continuing to build-an outstanding team of dynamic, mission-driven advancement professionals who constantly strive to create an environment where everyone belongs. Where it's not just about a job, but a career and a community. Now, our Advancement Information Strategiesteam is looking for a Data Integrity Coordinatorwho will be responsible for the accurate and timely processing of all gifts received by the University, including gifts made by check, credit cards, payroll deductions, pledge commitments, employer matching gifts, stock transfers, gifts-in-kind and planned gifts. Advancement Information Strategies at Boston University The mission of the Advancement Information Strategies department is to provide a high-quality information infrastructure, responsive data services, impactful data analysis and streamlined reporting to support increased participation, engagement, and fundraising income for the University. Partnering with Development and Alumni Relation colleagues and key campus partners, Advancement Information Strategies provides resources and solutions that incorporate accountability, flexibility, and confidentiality as we work to continuously improve systems, procedures, and analytics to support divisional and university goals. Data Integrity Coordinator This position involves researching and analyzing gifts to ensure appropriate donor credit and proper fund designation, as well as identifying discrepancies and adjusting records as deemed necessary. This position generates tax receipts daily and annually, in accordance with applicable regulations. The DI Coordinator is also responsible for reconciling gifts recorded in the CRM with deposits in coordination with the Cashier's office, updating donor records based on supporting gift documentation and transforming data received through data loads from various on campus. In addition, this position is also responsible for preparing pledges and recurring gifts for data integration, producing, and reviewing gift receipts, communicating with university departments, such as payroll, annual giving and other third-party vendor services, and maintaining data on constituent contact preferences, alumni activities, foreign gifts, and various other data points to ensure successful engagement, participation and fundraising outcomes. Essential Functions Gift Accounting Provide timely and accurate gift processing. Handle complex donations including stocks, wire transfers, planned gifts, Donor Advised Fund gifts, matching gifts and other transaction types as needed. Maintain comprehensive electronic gift back up in an organized and accessible manner. Scan checks to deposit directly to the bank; prepare cash and foreign check deposits for the bank and process related batches, produce and send gift receipts. Complete integrity projects as assigned (correcting recognition credits, standardizing attribute fields, pledge application/adjustments, updating appeal codes). Records and Database Management Maintain biographical information, research various sources to ensure the accuracy of data and similar projects as assigned. Ensure biographical information for donors is complete and accurate. Ensure data integrity through monitoring, implementation and streamlining of effective procedures; assist in identifying and troubleshooting data integration issues. Assist in identifying data discrepancies and complete data integrity projects by transforming and enhancing data (correcting or removing unneeded information, standardizing fields such as salutations or street names, renaming, moving, and combining columns to ensure usability). Participate in special short-term or long-term database projects as necessary. Advancement and Donor Relations Services Contact donors as needed regarding gift related errors, including declined credit cards, incomplete checks and unspecified designations. Research giving history as needed and respond to gift and data inquiries from colleagues. Produce and send tribute notifications. Advancement Services Serve as a key member of the larger Advancement Services team. Cross-train with other gift and records colleagues to provide back-up and training support as needed. Collaborate in the development, documentation and maintenance of processes and procedures. Assist with training and supervising student support positions as needed. In coordination with the director, assist in implementation and integration of new systems. Required Skills Qualifications: 1-3 three years of relevant experience. Ability to prioritize workloads as needed to meet deadlines. Ability to handle confidential information responsibly. Strong knowledge of Microsoft products. But that's not all we're looking for; we want someone who embodies our values: Teamwork, transparency, and mutual respect, because we value every member's contribution and know that leadership can come from anywhere. Diversity, equity, inclusion, and a commitment to ensuring that each of us knows we belong here. Integrity in how we work and how we treat one another. Strategic thinking and curiosity in the relentless pursuit of fresh approaches and measurable results. Continuous growth and improvement, both as individuals and as a team. Joy and shared appreciation for working hard toward goals that matter. If this resonates with you and you want to help us in our ambitious next campaign-and maybe do some of your best work as an advancement professional- we encourage you to apply.If you are hesitant to apply because you have not previously performed every responsibility listed in the description, but you do possess transferable skills and the defined qualifications, we still want to hear from you and welcome your application as well. To learn more about Development & Alumni Relations at Boston University, and other job opportunities, please stop by the DAR Talent website: ****************************** We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service,pregnancyor pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at ************. #J-18808-Ljbffr

**Dean of Research, Stanford, California, United States** Research Post Date Dec 13, 2024 Requisition # 105424 This is a 3-year fixed term appointment. **Stanford Data Science** This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future. **POSITION SUMMARY** Stanford University has made a strategic investment in Marlowe, a GPU-centric high-performance computing instrument designed to enable large-scale, data-intensive research. Supporting a wide range of disciplines, Marlowe facilitates sophisticated machine learning applications, including large-language models. The Research Data Scientist will play a critical role in this initiative, leveraging their expertise in computational research to develop and optimize workflows and applications that unlock Marlowe's capabilities. This role requires a deep understanding of computational and data science, machine learning, and the scientific process. It also demands the ability to leverage high-performance GPU computing to efficiently process and analyze large datasets. The successful candidate will collaborate closely with Stanford faculty and research groups to design, implement, and refine GPU-accelerated data processing pipelines. They will also contribute to scientific codes using machine learning, statistical analysis, and computation to address complex research challenges. Additionally, the data scientist will contribute to the development of novel computational methods ranging from biological data analysis to simulation of physical systems via digital twins. Beyond technical expertise, the Research Data Scientist will act as a bridge between Marlowe and the broader research community. They will guide researchers in adapting their applications to Marlowe's GPU-powered infrastructure by providing technical consultation, creating training materials, and leading workshops. The ideal candidate will have a strong background in both data science and GPU-centric computational techniques, combined with a passion for fostering collaboration and pushing the boundaries of interdisciplinary research. This position offers an exceptional opportunity to drive transformational research and establish Marlowe as a cornerstone of Stanford's efforts in pioneering discovery. Remote work for the Research Data Scientist position will be considered. The Research Data Scientist may be asked to attend certain in-person work events during the year regardless of remote status. **CORE DUTIES** **:** **Code Architecture for GPU Computation** + Collaborate with Principal Investigators (PIs) and research groups to architect and optimize GPU-accelerated pipelines. + Develop innovative computational methodologies + Co-author resulting research publications. **Algorithm Development and Data Management** + Design advanced data movement strategies to minimize memory bottlenecks between CPU and GPU, including real-time data streaming methods for scientific applications. + Partner with research teams to design novel algorithms and develop high-quality, reusable software to accelerate complex research projects. **Research Support and Software Infrastructure** + Assist PIs in applying for supercomputing resources at national centers once projects are scaled and workloads are appropriate. Offer guidance on maximizing efficiency of large-scale computational experiments. + Install, configure, and maintain software stacks for core research functions. **Training and Mentorship** + Design and lead hands-on workshops, and interdisciplinary courses focused on GPU-centric research in fields such as computational biology, NLP and image analysis. + Mentor graduate students, postdocs and early-career researchers in computational techniques and research methodologies. **Open Science and Research Continuity** + Integrate open science principles into research workflows, including software for data and computational provenance. + Design systems to manage inputs, outputs, and provenance to meet NIH, NSF, and OSTP mandates. + Develop tools and workflows to ensure the long-term viability of code and tools used by students and postdocs for future research development. *Other duties as assigned. **DESIRED QUALIFICATIONS** **:** + Experience supervising technical staff including training, mentoring and coaching. + Experience developing and writing grant proposals. + A minimum of five years at an Academic Staff - Researcher rank or have equivalent experience + Extensive publication list including first author publications. **Education & Experience (Required)** : + Ph.D. in a computational or data-intensive related field or equivalent + Comfortable running and troubleshooting jobs in a batch scheduled environment + Considerable experience with Linux **Pay Range** **:** This role is open to candidates anywhere in the United States. Stanford University hasfive Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $142,000 to $200,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ Additional Information + **Schedule: Full-time** + **Job Code: 6446** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 105424** + **Work Arrangement : Hybrid Eligible, Remote Eligible, On Site**

Description Data Scientist - Secret Xcelerate Solutions is seeking an experienced Data Scientist. Provide expertise in testing and implementing computer database. We are seeking a Data Scientist / Application Developer to design and build AI-enabled applications and perform analyses in Palantir Foundry that drive operational decision-making. This role emphasizes data science, advanced analytics, visualization, and user-facing application development. You will work in a fast-paced Agile environment alongside engineers and domain experts to translate ambiguous or evolving requirements into intuitive, scalable products. Successful candidates are comfortable moving from exploratory analysis to production-grade applications that deliver measurable mission impact. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry. Location: RemoteSecurity Clearance: Secret Responsibilities: Conduct data discovery and exploratory data analysis (EDA) across structured and unstructured data Perform data cleansing, normalization, aggregation, and modeling Design and build analytic applications in Palantir Foundry, including dashboards and interactive workflows Apply advanced analytics and statistical methods (e.g., regression, clustering, hypothesis testing, A/B testing) Develop and embed AI/ML capabilities (e.g., LLMs, NLP, RAG/GraphRAG) into analytic workflows Create clear visualizations and metrics to support executive and operational decision-making Collaborate in an Agile/Scrum environment to rapidly iterate on solutions Communicate insights effectively to technical and non-technical stakeholders Minimum Requirements: Strong experience in data science and analytics, including EDA, data wrangling, modeling, and statistical analysis Proficiency in Python for analytics and data pipelines (e.g., pandas, polars, PySpark) Experience with AI/ML and statistical modeling tools and python libraries (e.g., scikit-learn, statsmodels, Prophet; NLP tools such as spa Cy or NLTK) Experience building production-grade analytics (apps, dashboards, notebooks) Experience with data visualization i.e using Python libraries (matplotlib, seaborn, plotly) and/or BI tools (PowerBI, Tableau, Qlik) Comfort working in a dynamic Agile/Scrum environment with evolving or loosely defined requirements Strong communication skills with the ability to explain insights to non-technical audiences Background in statistics, mathematics, operations research, or applied sciences Experience with Palantir Foundry, Databricks, or similar data platforms Secret Clearance Preferred Qualifications Prior Army Contractor experience Experience supporting modernization cloud project Hands-on experience with Palantir Foundry (pipelines, transforms, Workshop, Ontologies, AIP) Experience building AI-enabled applications using LLMs, NLP, RAG, or GraphRAG Experience developing rapid analytic demos using Streamlit Familiarity with model deployment and ML/AI serving architectures Exposure to TypeScript Experience with data platform operations, monitoring, or optimization Experience building and maintaining ETL pipelines supporting analytic applications About Xcelerate Solutions: Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (*************************** is one of America's fastest-growing companies. Xcelerate's culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal's “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers!Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability. Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

Description Data Scientist & Visualization Specialist - Secret Xcelerate Solutions is seeking an experienced Data Scientist & Visualization. We are seeking a Data Scientist / Visualization Specialist to design and deliver intuitive, interactive analytic applications and dashboards in Palantir Foundry. This role emphasizes application development, data visualization, and UI/UX ensuring developed products are easy to use and can support decision-makers and operators across the enterprise. You will partner closely with data scientists and data engineers to bring analytics to life. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry. Location: RemoteSecurity Clearance: Secret Responsibilities: Design and develop user-facing analytic applications and dashboards in Palantir Foundry Translate complex data models and analytics into clear, compelling visualizations Build interactive, data-driven UIs that embed analytics and metrics into workflows Collaborate with data scientists and engineers to integrate analytics, AI outputs, and ontologies Apply UX/UI best practices to deliver accessible, intuitive, and scalable applications Collaborate in an Agile/Scrum environment to rapidly iterate on solutions Communicate insights effectively to technical and non-technical stakeholders Minimum Requirements: Experience building data-driven applications or dashboards Strong data visualization and storytelling skills Experience with BI and visualization tools (PowerBI, Tableau, Qlik, or similar) Proficiency in Python Experience with Python-based visualization libraries (plotly, matplotlib, seaborn) Understanding of data analysis and EDA to work effectively with source data Experience wrangling and aggregating data from multiple data sources Grasp of UX/UI best practices for analytic applications Comfort working in a dynamic Agile/Scrum environment with evolving or loosely defined requirements Excellent collaboration and communication skills. Experience with Palantir Foundry, Databricks, or similar data platforms Active Secret Clearance Preferred Qualifications Prior Army Contractor experience Experience supporting modernization cloud project Knowledge of TypeScript for front-end or application-layer development. Experience building rapid analytic demos or apps (e.g., Streamlit) Hands-on experience with Palantir Foundry (pipelines, transforms, Workshop, Ontologies, AIP, etc.) - particular focus on Workshop and Ontologies Experience with data platform operations, monitoring, or optimization Experience building and maintaining ETL pipelines supporting analytic applications Experience with AI/ML and statistical modeling tools and python libraries (e.g., scikit-learn, statsmodels, Prophet; NLP tools such as spa Cy or NLTK) Proficiency in Python for analytics and data pipelines (e.g., pandas, polars, PySpark) About Xcelerate Solutions: Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (*************************** is one of America's fastest-growing companies. Xcelerate's culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal's “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers!Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability. Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Job Category: Academic Staff Employment Type: Regular Job Profile: Data Scientist I The Department of Radiology, University of Wisconsin - Madison, School of Medicine & Public Health is seeking a Radiology Informatics Data Scientist who will work under the direction of Dr. Pallavi Tiwari and will work closely with other staff, medical school groups, UW Health, and the Radiology Informatics team. The research conducted by Tiwari lab utilizes medical imaging and clinical data to build and optimize AI and machine learning models that identify computerized image-based phenotypes, and their associations with genomics and histo-pathology for disease characterization, with the aim of developing personalized diagnostic tools towards improved early diagnosis, prognosis, and response to treatment for neurological conditions and other diseases. The Radiology Informatics Data Scientist will be responsible for data cleaning and management, the development and maintenance of clinical research databases, helping develop and deploy novel imaging tools, and disseminating new knowledge through abstracts, posters, presentations, and manuscripts. They will also be involved in project monitoring and evaluation, data analysis, oversight of trainees, and dissemination of program results and will work closely with the PI, lab manager, and Department of Radiology's Informatics Analysts. ADDITIONAL JOB DETAILS: * This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location. * Multiple Titles: Data Scientist I, Data Scientist II, or Data Scientist III. Applicants for this position will be considered for the titles listed in this posting. The title is determined by the experience and qualifications of the finalist. * Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration; Professional and effective oral and written communications skills, and able to clearly relay information to faculty PI's and other researchers and prepare reports as needed; Effective data management and organizational skills, ability to train, work with, and elicit cooperation from team members with regards to data stewardship; Ability to problem-solve effectively, with ability to develop and implement alternative solutions as needed; Ability to learn and apply new ideas, techniques, processes, policies, functions, etc.; Highly motivated and a self-starter. Key Job Responsibilities: * Identifies, writes, or assists in developing grant opportunities, grant applications, and proposals to secure research funding * Organizes and automates project steps for data preparation and analysis * Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators * Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources * Documents approaches to address research questions * Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining * Conducts literature reviews, prepares reports and materials and, disseminates information to appropriate entities Department: School of Medicine and Public Health, Department of Radiology, Tiwari Research Lab Join UW Radiology and UW Health-A Legacy of Innovation The University of Wisconsin Department of Radiology, in partnership with UW Health, has been at the forefront of clinical care, imaging research, and education for nearly a century. Since its inception on May 18, 1927-when Dr. Ernst Pohle was appointed as the first professor of Radiology, the department has grown to more than 160 faculty members across 14 specialized sections, serving as a key pillar of UW Health's world-class medical enterprise. What Sets Us Apart * Collaborative Excellence: Strong partnerships with UW Health, Medical Physics, and leading equipment vendors drive continuous advancements in imaging. * Cutting-Edge Technology: We utilize state-of-the-art imaging in CT, MR, PET/CT, PET/MR, angiography, ultrasound, PACS, and AI-driven medical imaging. * Robust Research Infrastructure: Dedicated support for grant writing, media specialists, research nurses, technologists, and data managers enhance investigative success. * Premier Imaging Facilities: The WIMR Imaging Sciences Center offers 60,000 square feet of advanced imaging space, including MRI, PET/MRI, PET/CT, CT, ultrasound, angiography, cyclotron, radiopharmaceutical production and comprehensive small animal imaging technologies. Together, UW Radiology and UW Health are committed to advancing human health through groundbreaking clinical care, pioneering research, and excellence in education. We foster a respectful, adaptive, and accountable environment-one that prioritizes innovation while serving the needs of all patients, including underserved populations. Visit our official website to learn more about our work and opportunities. Compensation: The starting salary for the position is $65,000 annually; but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer Required Qualifications: * Experience working with medical imaging and/or electronic health record data, as well as understanding compliance requirements. * Experience in developing machine learning and/or deep learning models for medical imaging, genetic, and/or biological data. * At least 3 years of experience with programming languages (C++, Python, Matlab), including libraries like NumPy, SciPy, and scikit-learn. * Proficiency in Linux environment, including common commands and shell scripting. * Familiarity with medical imaging data and standards such as DICOM and HL7, as well as ensuring compliance. Preferred Qualifications: * Proficiency in database languages (SQL, NoSQL databases like MongoDB, graph databases). * Familiarity with data management and lifecycle platforms such as Flywheel, XNAT, or data versioning tools like DVC. * Previous grant writing experience; manuscript writing; program management and/or development experience. * Experience contributing to clinical research projects, including IRB protocols and clinical trials. * Knowledge of statistical analysis and data visualization tools (R, SAS, Matplotlib, Seaborn, Plotly). Education: Bachelor's Degree Required; focus in Physics, Biomedical Statistics, Computer Science or related field by application date. Terminal Degree Preferred; PhD in Medical Imaging, Physics, Biomedical Statistics, Computer Science, or related field by application date. How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area. Upload required documents: * Cover letter * Resume Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes, and a candidate is selected. University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position, you must provide proof of work authorization and eligibility to work. The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees. Contact Information: Amanda Joncas, **************** Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Job Summary: We are seeking a Lead Data Scientist to act as a player/coach, guiding a high-performing team in building the next generation of intelligent analytics for Cat Foresight. This role combines hands-on technical expertise with leadership responsibilities, driving innovation in condition monitoring with predictive and attentional models that enable advanced insights and efficient decision-making. What You Will Do: * Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. * Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. * Leading to define requirements and scope of data analysis; presenting and reporting possible business insights to management using data visualization technologies. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. What You Will Have: * Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. * Accuracy and Attention to Detail: Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision. * Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. * Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning (particularly recommendation/attentional models); ability to develop, implement and deliver related systems, products and services. * Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages. * Query and Database Access Tools: Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. * Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Considerations for Top Candidates: * Typically, a Masters or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree * Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges. * Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks. * Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action. * Working experience with heavy equipment engineering and/or condition monitoring. * In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field * Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. Additional Information: This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. #LI #BI (used to post on Built In Chicago) What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also apply to part-time employees Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** Posting Dates: January 27, 2026 - February 2, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Lead Data Scientist - Power the future with AI and Digital Twins At Solar Turbines, we're driving smarter decisions through data science and physics-and we're looking for a Lead Data Scientist to help us push boundaries. In this role, you'll interact with massive datasets, apply advanced machine learning and physics methods in Python and Matlab, and work on a team to develop core AI products that help our customers achieve industry leading reliability, performance and growth. What You'll Do Lead data mining, modeling, and analysis of time series data, event data and meta data to build anomaly detection models to be used within InSight Platform. Apply machine learning and physics principles to create, explore and validate hybrid digital twin models using lumped parameter ODE models, PINNs and NeuralODEs to approximate PDE model outputs. Design and optimize algorithms to improve accuracy, numerical performance, and scalability. Build compelling visualizations and present findings to stakeholders using tools like Quicksight or Plotly. Collaborate across teams and business segments to define analytical requirements and deliver actionable solutions related to InSight Platform's digital twin strategy. Work with stakeholders, SMEs and customers to develop project plans and execution schedules. Technical Expertise Machine Learning: Experience applying ML algorithms and techniques to solve both physics and/or business problems. Proficient in Python, with knowledge of libraries like pandas, NumPy, SciPy, Scikit-learn, PyTorch, and SpaCy. Statistical Analysis & Modeling: Solid understanding of hypothesis testing, and predictive modeling. Able to validate models using standard statistical measures and interpret results. Physics & Engineering: Solid understanding of the physics of 1D heat transfer and fluid mechanics with ability to solve these types of problems using python or Matlab libraries. Data Handling: Ability to write SQL statements for database access using SQL Alchemy and CX Oracle. Able to write and optimize queries across multiple tables and schemas. Programming & Automation: Comfortable developing scripts and tools to automate digital twin workflows. Ability to use LLMs for code creation but familiar with structured programming practices and debugging techniques to ensure output is correct. Visualization & Communication: Excellent communication and visualization skills. Need to feel comfortable creating presentations that make technical concepts easy for non-technical audience members to understand. Analytical & Business Acumen Analytical Thinking Above average problem-solving and critical thinking. Ability to take loosely defined requirements or statements of value and turn them into a structured problem that can be solved mathematically. Capable of comparing alternative solutions and making optimal decisions. Educational Background: Master of Science (MS) in Mechanical Engineering, Chemical Engineering, Applied Mathematics, or Physics is required, PhD preferred. Top candidates will also have: At least 2 years of experience post education in mechanical engineering roles. Many years of experience in engineering analysis, including structural, thermal, fluid, and/or performance calculations for the purposes modeling and simulation. Many years of experience modeling physical systems starting with first principles equations and implementing ODEs or PDEs in Matlab, Python or similar programming languages. Some experience with control theory and applications to dynamic systems and industrial machines. Published technical papers at conferences or journals in the engineering and/or physics fields Summary Pay Range: $128,470.00 - $192,710.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off plan (Vacation, Holidays, Volunteer, etc.)* 401(k) savings plans* Health Savings Account (HSA)* Flexible Spending Accounts (FSAs)* Health Lifestyle Programs* Employee Assistance Program* Voluntary Benefits and Employee Discounts* Career Development* Incentive bonus* Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement * These benefits also apply to part-time employees This position requires working onsite five days a week.Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** Posting Dates: Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The Einstein Papers Project at Caltech has an opening for a Data Scientist and Application Developer. Come be a part of the team that is researching and publishing Albert Einstein's published and unpublished writings, his letters and those of his colleagues, family, and friends, his calculation drafts, notebooks, and interviews. This role will work with a vibrant team of scientists and historians and philosophers of science to carry out text and image processing, extracting relevant information from printed sources, photographs, and handwritten manuscripts. The major source of data consists of some 100,000 archival records and tens of thousands of printed sources. We are interested in archive services and analysis tools related to the discovery of specific search objects (text, equations, concepts) and their characterization. Essential Job Duties As an Einstein Papers analyst and developer, you will work with the team members to develop systems to ingest, process and deliver content and tools to users, using modern methodologies and AI software, particularly those tools developed to support digital humanities research, methods and platforms. Developing and improving infrastructure to ingest and organize database records and their associated files (jpg, tiff, pdf) Automating and improving the management of our repositories (move data to GitHub or other cloud-based repository) Streamline deployment of software into test and production environments, through continuous integration, and troubleshoot runtime issues. Basic Qualifications Bachelor's degree in Computer Science/Engineering, Information Sciences, or related field. Three or more years of relevant experience developing code using python or similar programming languages System administration of local networks Web server and website administration and operation Dynamic database design Good familiarity with the TeX-typsetting system Strong communication and interpersonal skills. Preferred Qualifications Knowledge of Adobe products (Photoshop, InDesign) and Adobe FrameMaker (or willingness to learn). Production experience with AWS. Experience with configuration management, Git/GitHub. Strong Linux/UNIX skills. Experience with SQL. Ability to read German is a great plus. Required Documents Resume.

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Job Summary: We are seeking a Lead Data Scientist to act as a player/coach, guiding a high-performing team in building the next generation of intelligent analytics for Cat Foresight. This role combines hands-on technical expertise with leadership responsibilities, driving innovation in condition monitoring with predictive and attentional models that enable advanced insights and efficient decision-making. What You Will Do: * Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models. * Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. * Leading to define requirements and scope of data analysis; presenting and reporting possible business insights to management using data visualization technologies. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. What You Will Have: * Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. * Accuracy and Attention to Detail: Extensive experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision. * Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. * Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning (particularly recommendation/attentional models); ability to develop, implement and deliver related systems, products and services. * Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages. * Query and Database Access Tools: Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. * Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Considerations for Top Candidates: * Typically, a Masters or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree * Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges. * Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks. * Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action. * Working experience with heavy equipment engineering and/or condition monitoring. * In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field * Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. Additional Information: This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. #LI #BI (used to post on Built In Chicago) What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also apply to part-time employees Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** Posting Dates: January 27, 2026 - February 2, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

Seeking Adjunct Professors to teach graduate courses in data science, analytics, machine learning, and related tools at Saint Peter's. About Saint Peter's University Saint Peter's is one of 27 Jesuit colleges and universities in the United States. Established in 1872, the University blends a unique learning experience shaped by rigorous academics, internships that provide real-world experience, community service, and a genuine, caring community that supports alumni long after graduation. Saint Peter's offers more than 50 undergraduate majors as well as master's level and doctorate programs Saint Peter's University is committed to helping students achieve success not only with their academics, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners: professionals who are actively and successfully engaged in their field who additionally wish to help the next generation of professionals grow in their knowledge and expertise through education. Duties: Teaching graduate students in a specific field of expertise on a part-time basis in the following areas: • Big Data and Data Management • Data Mining • Machine Learning • Data Visualization • SQL • Predictive Analytics and Financial Modeling • Knowledge of Python and SAS • Tableau, IBM Watson and Excel preferred • Supervision of Capstone Consulting Engagement Adjunct Rate: $750 - $1,000 per credit hour Qualifications Qualification Standards: Actively engage students through frequent interaction that motivates them to succeed, and conveys a genuine energy and enthusiasm for their learning Guide students in active collaboration and the application of their learning in problem- and project-based learning demonstrations. Provide rich and regular constructive feedback, utilizing rubrics effectively for the assessment of student work, and acknowledging student accomplishments. Demonstrate relevant and current subject-matter expertise, and help students connect concepts across their academic program. Provide feedback to your program chair on possible curricular improvements. Developing and managing the class syllabus and ensuring that the syllabus meets department and college standards Planning and creating lectures, for both online and in-class discussions and assignments Grading assigned papers, quizzes and exams Assessing grades for students based on participation, performance in class, assignments, and examinations Advising students on how to be successful in class Staying updated on innovations and changes within their course field Education: A terminal degree (i.e., PhD, DBA, etc.) is preferred from an accredited institution of higher learning related to Data Science/Business Analytics, and a Master's is required. Experience: Professional experience in industry. Higher Education teaching experience preferred.

Data Scientist Post Available Only to Americans American, Off-grid From here, our viewpoint is that the creative staff is committed to using data to reach findings that inspire fresh ideas. Data is about far more than simply numbers for us; it's the secret to revealing latent opportunities, overcoming tough obstacles, and future industry charting. We want a data scientist driven by data who can explore datasets, identify fresh trends, and apply their knowledge to actually change things. If you enjoy the chance to spin stories out of unprocessed data, join our team! What then is your strategy? Like a detective, examine challenging data looking for trends, connections, and patterns that could support corporate strategy. Exercises your critical thinking to investigate closely and develop reasonable answers. Create and polish machine learning models capable of forecasting consumer trends and actions, therefore contributing significantly to corporate decision-making. Work creatively with others: Work collaboratively with teams in marketing, engineering, and products to grasp corporate goals and create data-driven answers to actual problems. Set up automated data pipelines. Building effective and adaptable data pipelines that automatically transfer data can help to improve the availability and value of data. Share Knowledge: Present complicated data results clearly and attractingly to technical teams and non-technical stakeholders. Your aim should be for every piece of data to be simply understandable. By always learning fresh approaches, tools, and algorithms, keep ahead of the curve. You will make sure we remain competitive always by keeping us at the forefront of data practice innovation. Finding and resolving discrepancies helps one to guarantee that the data utilized for analysis is accurate, high-quality, and uncompromised. Our intended result: Potential applicants for this post could be Americans only. Data science, machine learning, or a similar discipline calls for minimum two to three years of pertinent professional experience. Statistical techniques, data analysis, and model development all flow naturally to you. Technical Mastery: You speak Python, R, and SQL rather well among other programming languages. Good usage of machine learning libraries including PyTorch, TensorFlow, or scikit-learn is appreciated. Using Tableau, Power BI, and Matplotlib, you are a master at visually appealing and intelligible presenting challenging data. According to the analytical perspective, one can see the possible insights by closely reviewing unprocessed data. Constantly asking "why" questions regarding the figures helps you to strengthen your critical thinking abilities. Your creative approach helps you to turn facts into strategic advantage and generate original answers to problems. You like collaborating with others whether you are developing fresh ideas or presenting your results to non-technical aware stakeholders. Your painstaking attention to detail helps the data you handle to be of the best quality and accuracy. Our Motives for Your Contentment in Comprising Our Team Working remotely in the US allows you to enjoy your freedom in juggling job and personal life. Join a team that celebrates uniqueness and creativity to start fresh ideas and assume leadership responsibilities. Development in Your Profession: We provide you various chances to pick up fresh skills, broaden your knowledge in a profession always changing, and progress in your employment. We provide a competitive pay, a whole benefits package, and wellness incentives to guarantee your health and happiness. You will directly influence the course of our company since you own its future. Your efforts will help to shape it. Approaches for Application: Are you ready to use data's power and change things? Your answer would really be much valued. Add a quick cover letter outlining your interest in data science and noting how your background fits the position. Note: Only US applicants are eligible for this post.

Serve as member of Advanced Data Science group to support UMMS's strategic priority to become a data-driven and outcomes-oriented organization. Principal responsibilities and tasks include: * Support analytic efforts designed around the organization's strategic priorities and clinical/business problems, including operations, supply chain, human resources, and finance. * Develop predictive (machine learning and deep learning approaches/algorithms) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization's clinical, operations and business initiatives and priorities. * Formulate and solve complex mathematical optimization problems using exact and heuristic approaches. * Perform exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA). * Design and prototype new application functionality for products. * Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems. * Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings. * Perform statistical analysis to evaluate primary and secondary objectives from such pilots. * Support development of strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization. * Build and extend analytics portfolio supported by robust documentation. * Work in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. * Assist leadership with strategies for scaling successful projects across the organization, and enhance the analytics applications based on feedback from end-users and clinical/business consumers. * Assist leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. * Work with autonomy to find solutions to complex problems using open source tools and in-house development. * Stay abreast of state-of-the-art literature in the fields of machine learning/AI, operations research, statistical modeling, statistical process control and mathematical optimization. * Up to 5% domestic travel. Company Description The University of Maryland Medical System (UMMS) is an academic private health system, focused on delivering compassionate, high quality care and putting discovery and innovation into practice at the bedside. Partnering with the University of Maryland School of Medicine, University of Maryland School of Nursing and University of Maryland, Baltimore who educate the state's future health care professionals, UMMS is an integrated network of care, delivering 25 percent of all hospital care in urban, suburban and rural communities across the state of Maryland. UMMS puts academic medicine within reach through primary and specialty care delivered at 11 hospitals, including the flagship University of Maryland Medical Center, the System's anchor institution in downtown Baltimore, as well as through a network of University of Maryland Urgent Care centers and more than 150 other locations in 13 counties. For more information, visit ************* Qualifications Minimum Requirements * Master's degree in Applied Mathematics, Data Science, Physics, Industrial Engineering, Computer Science, Statistics, Economics or a related field. * Two (2) years of relevant work experience to include: * Machine Learning/AI, Statistics or Operations Research. * Programming with SQL, Python and R. * Machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis. * Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to, data from electronic medical record, financial management, human resources, quality and supply chain). * Developing and deploying healthcare-relevant predictive and prescriptive models. * Combining analytic methods and advanced data visualizations. Compensation: $125,000 to $145,000 per year Benefits: Health, vision, dental, and life insurance, 403(b) retirement plan, paid time off, educational assistance, employee assistance program, and employee discounts. Additional Information .Like many employers, UMMS is being targeted by cybercriminals impersonating our recruiters and offering fake job opportunities. We will never ask for banking details, personal identification, or payment via email or text. If you suspect fraud, please contact us at ****************.

The University of Maryland Medical System (UMMS) is an academic private health system, focused on delivering compassionate, high quality care and putting discovery and innovation into practice at the bedside. Partnering with the University of Maryland School of Medicine, University of Maryland School of Nursing and University of Maryland, Baltimore who educate the state's future health care professionals, UMMS is an integrated network of care, delivering 25 percent of all hospital care in urban, suburban and rural communities across the state of Maryland. UMMS puts academic medicine within reach through primary and specialty care delivered at 11 hospitals, including the flagship University of Maryland Medical Center, the System's anchor institution in downtown Baltimore, as well as through a network of University of Maryland Urgent Care centers and more than 150 other locations in 13 counties. For more information, visit ************* Job Description Serve as member of Advanced Data Science group to support UMMS's strategic priority to become a data-driven and outcomes-oriented organization. Principal responsibilities and tasks include: Support analytic efforts designed around the organization's strategic priorities and clinical/business problems, including operations, supply chain, human resources, and finance. Develop predictive (machine learning and deep learning approaches/algorithms) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization's clinical, operations and business initiatives and priorities. Formulate and solve complex mathematical optimization problems using exact and heuristic approaches. Perform exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA). Design and prototype new application functionality for products. Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems. Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings . Perform statistical analysis to evaluate primary and secondary objectives from such pilots. Support development of strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization. Build and extend analytics portfolio supported by robust documentation. Work in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. Assist leadership with strategies for scaling successful projects across the organization, and enhance the analytics applications based on feedback from end-users and clinical/business consumers. Assist leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. Work with autonomy to find solutions to complex problems using open source tools and in-house development. Stay abreast of state-of-the-art literature in the fields of machine learning/AI, operations research, statistical modeling, statistical process control and mathematical optimization. Up to 5% domestic travel. Qualifications Minimum Requirements Master's degree in Applied Mathematics, Data Science, Physics, Industrial Engineering, Computer Science, Statistics, Economics or a related field. Two (2) years of relevant work experience to include: Machine Learning/AI, Statistics or Operations Research. Programming with SQL, Python and R. Machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis. Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to, data from electronic medical record, financial management, human resources, quality and supply chain). Developing and deploying healthcare-relevant predictive and prescriptive models. Combining analytic methods and advanced data visualizations. Compensation: $125,000 to $145,000 per year Benefits: Health, vision, dental, and life insurance, 403(b) retirement plan, paid time off, educational assistance, employee assistance program, and employee discounts. Additional Information .Like many employers, UMMS is being targeted by cybercriminals impersonating our recruiters and offering fake job opportunities. We will never ask for banking details, personal identification, or payment via email or text. If you suspect fraud, please contact us at [email protected].

**School of Law, Stanford, California, United States** Research Post Date Mar 10, 2025 Requisition # 102373 **NOTE: This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.** **The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab.** **About us:** **Stanford RegLab** **is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an** **interdisciplinary team of lawyers, data scientists, social scientists, and engineers who** **are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health.** **As a Data Scientist, you will:** + **Support collecting, managing, and cleaning of data sets from regulatory agencies, understand discrepancies and build out and document a data dictionary to improve knowledge of different systems and how to manage discrepancies.** + **Produce reports and publications on findings to our government partners and for academic publications, based on extensive data analysis.** + **Work with PI and Research Director to ensure data management/collection is clear, secure, and robust; improve processes for collecting and managing data.** + **Support training of research fellows on best practices and technical skills** **Core Duties:** + **Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.** + **Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed.** + **Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.** + **Research and reconcile data discrepancies occurring among various information systems and reports.** + **Collaborate with data managers to define and implement data standards and common data elements for data collection.** + **Identify new sources of data and methods to improve data collection, analysis and reporting.** + **May test prototype software and participate in approval and release process for new software.** + **Other duties as assigned** **.** **Minimum Requirements:** **This is a one-year fixed term position, with the option of renewal.** **Education & Experience:** **Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, mathematics or engineering.** **Knowledge, Skills and Abilities:** + **Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.** + **Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability.** + **Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.** + **Strong listening, verbal and written communication skills.** + **Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail.** + **Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question.** + **Ability to work with data of varying levels of quality and validity.** + **Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.** + **Ability to work effectively with multiple internal and external stakeholders.** **Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.** **Application Instructions:** **We invite you to apply by clicking on the "Apply for Job" button. To be considered, please submit the following items along with your online application:** + CV + Cover Letter + Project and code samples or Github + Transcript (if graduated within 3 years) **_The expected pay range for this position is $82,468 to $106,256 per annum._** **Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.** **_At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_** **_******************************************************* **_) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._** **_Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._** **Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.** **_Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._** Additional Information + **Schedule: Full-time** + **Job Code: 4744** + **Employee Status: Fixed-Term** + **Grade: G** + **Requisition ID: 102373** + **Work Arrangement : Hybrid Eligible, On Site**

**Dean of Research, Stanford, California, United States** Information Analytics Post Date Dec 15, 2025 Requisition # 107927 **SCHOOL/UNIT DESCRIPTION** **:** Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the Knight Initiative in Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging and brain resilience. Diseases and associated issues of cognitive decline like Alzheimer's, Parkinson's, dementia, and related ailments are increasing with our rapidly aging global population. Stanford seeks to advance a new era of brain science focused on accelerating the fundamental understanding of the aging brain, both the biological causes of neurodegeneration and how to increase brain resilience throughout the lifespan. Our community ranges broadly, consisting of esteemed alumni, world class faculty and students, dynamic staff and administrators and include some of the world's most successful leaders in neuroscience. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish its mission conducting cutting-edge research with the objective of formulating innovative solutions to brain-aging, disease, neurodegeneration, dementia and resilience. **POSITION SUMMARY** **:** We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for managing and analyzing large sets of multi-omics data with a focus on human brain aging. They will work closely with the research team to identify patterns and correlations in the data related to brain aging, develop and implement data analysis pipelines and workflows, generate visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods, identifying and resolving data quality issues, and collaborating with various stakeholders. They will need to have a PhD or Master's degree in a relevant field, strong programming skills, experience with data management systems and visualization tools, and excellent communication and presentation skills. This position is a two-year fixed-term appointment, with possibility of renewal based on programmatic need and funding availability, with a primary work site on Stanford University's main campus. **CORE DUTIES** **:** + Collect, manage and clean datasets. + Manage and analyze large sets of data from various sources, including genomics, transcriptomics, proteomics, and metabolomics. + Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. + Utilize and fine-tune genomic foundation models on aging data. + Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. + Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. + Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. + Analyze data processes in documentation. + Collaborate with faculty and research staff on data collection and analysis methods. + Provide documentation based on audit and reporting criteria to investigators and research staff. + Communicate with government officials, grant agencies and industry representatives. * _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ **MINIMUM REQUIREMENTS** **:** **Education & Experience** : Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. **Knowledge, Skills and Abilities** : + Substantial experience with MS Office and analytical programs. + Strong writing and analytical skills. + Excellent communication and presentation skills. + Ability to prioritize workload. **PREFERRED QUALIFICATIONS** **:** + PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics + Strong programming skills, including experience with R or Python + Experience with multi-omics data analysis and/or experience with brain aging research + Strong understanding of statistical methods and machine learning techniques + Experience with building genomics foundation models, using HPC and cloud computing platforms such as AWS or Azure is a plus **PHYSICAL REQUIREMENTS** ***:** + Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. + Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. + Rarely kneel/crawl, climb (ladders, scaffolds, or other). * _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a_ _contact form_ _._ **WORKING CONDITIONS** **:** + May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. + Some work may be performed in a laboratory setting. + May be exposed to Allergens/Biohazards/Chemicals, confined spaces, unusual work hours or routine overtime and/or inclement weather. **WORK STANDARDS** **:** + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* **The expected pay range for this position is $80,148 to $99,773 per annum.** **Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships.** **At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (** ******************************************************** **) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.** **Why Stanford is for you** **:** Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Ourcultureandunique perksempower you with: + **Freedom to grow** . We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. + **A caring culture** . We provide superb retirement plans, generous time-off, and family care resources. + **A healthier you** . Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. + **Discovery and fun** . Stroll through historic sculptures, trails, and museums. + **Enviable resources** . Enjoy free commuter programs, ridesharing incentives, discounts and more! _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ Additional Information + **Schedule: Full-time** + **Job Code: 4751** + **Employee Status: Fixed-Term** + **Grade: G** + **Requisition ID: 107927** + **Work Arrangement : On Site**

SCHOOL/UNIT DESCRIPTION: Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the Knight Initiative in Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging and brain resilience. Diseases and associated issues of cognitive decline like Alzheimer's, Parkinson's, dementia, and related ailments are increasing with our rapidly aging global population. Stanford seeks to advance a new era of brain science focused on accelerating the fundamental understanding of the aging brain, both the biological causes of neurodegeneration and how to increase brain resilience throughout the lifespan. Our community ranges broadly, consisting of esteemed alumni, world class faculty and students, dynamic staff and administrators and include some of the world's most successful leaders in neuroscience. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish its mission conducting cutting-edge research with the objective of formulating innovative solutions to brain-aging, disease, neurodegeneration, dementia and resilience. POSITION SUMMARY: We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for managing and analyzing large sets of multi-omics data with a focus on human brain aging. They will work closely with the research team to identify patterns and correlations in the data related to brain aging, develop and implement data analysis pipelines and workflows, generate visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods, identifying and resolving data quality issues, and collaborating with various stakeholders. They will need to have a PhD or Master's degree in a relevant field, strong programming skills, experience with data management systems and visualization tools, and excellent communication and presentation skills. This position is a two-year fixed-term appointment, with possibility of renewal based on programmatic need and funding availability, with a primary work site on Stanford University's main campus. CORE DUTIES: * Collect, manage and clean datasets. * Manage and analyze large sets of data from various sources, including genomics, transcriptomics, proteomics, and metabolomics. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Utilize and fine-tune genomic foundation models on aging data. * Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. * Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. * Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. * Analyze data processes in documentation. * Collaborate with faculty and research staff on data collection and analysis methods. * Provide documentation based on audit and reporting criteria to investigators and research staff. * Communicate with government officials, grant agencies and industry representatives. * The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: * Substantial experience with MS Office and analytical programs. * Strong writing and analytical skills. * Excellent communication and presentation skills. * Ability to prioritize workload. PREFERRED QUALIFICATIONS: * PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics * Strong programming skills, including experience with R or Python * Experience with multi-omics data analysis and/or experience with brain aging research * Strong understanding of statistical methods and machine learning techniques * Experience with building genomics foundation models, using HPC and cloud computing platforms such as AWS or Azure is a plus PHYSICAL REQUIREMENTS*: * Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. * Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. * Rarely kneel/crawl, climb (ladders, scaffolds, or other). * Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. WORKING CONDITIONS: * May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. * Some work may be performed in a laboratory setting. * May be exposed to Allergens/Biohazards/Chemicals, confined spaces, unusual work hours or routine overtime and/or inclement weather. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: * Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. * A caring culture. We provide superb retirement plans, generous time-off, and family care resources. * A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. * Discovery and fun. Stroll through historic sculptures, trails, and museums. * Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information * Schedule: Full-time * Job Code: 4751 * Employee Status: Fixed-Term * Grade: G * Requisition ID: 107927 * Work Arrangement : On Site

The Tooele County Health Department (TCHD) is a family-friendly organization committed to providing excellent benefits, opportunities for professional growth, and a healthy work-life balance that "allows all individuals to reach their full potential." The Data Scientist works with TCHD staff, partners, and communities to conduct epidemiological studies, data analysis, and public health surveillance that inform public health policy and support response efforts, including outbreak investigations. This position collaborates with internal teams and external partners to monitor and address chronic/infectious disease trends, health disparities, and emerging public health priorities through epidemiology studies, program evaluation, and community health assessment and planning. SUPERVISION RECEIVED Works under the general supervision of the Director of Nursing and Health Officer. SUPERVISION EXERCISED This position will not directly supervise any staff. MAJOR RESPONSIBILITIES Direct the design and execution of epidemiological studies, utilize appropriate statistical programming to collect, organize, and analyze complex health data from diverse sources, including fieldwork, surveys, interviews, syndromic data, and laboratory results. Lead the development and application of study methodologies to explore the origins and transmission of communicable diseases, chronic health conditions, social determinants of health, and environmental exposures. Participate in epidemiological investigations during disease outbreaks, employing statistical programming to evaluate risk factors, track trends, and offer data-driven recommendations for containment and prevention measures. Formulate corrective actions informed by epidemiological data, for in-depth analysis to design and implement public health interventions to reduce or prevent health issues. Interpret and integrate investigation findings, comparing them with broader health outcome data, while ensuring accurate analysis and reporting. Oversee the production of routine statistical reports, to generate comprehensive summaries and present findings to health officials, policymakers, and the public. Act as the primary communicator of complex epidemiological data, presenting findings in both written reports and oral presentations to professionals and communities, ensuring precision and clarity with the support of statistical programming. Administer and maintain health data systems, ensuring that de-identified data is properly managed for analysis and reporting, while safeguarding the security and integrity of epidemiological databases. Evaluate public health programs for effectiveness and impact. Participate in quality improvement processes. Communicate findings to grant coordinators, program managers/staff, and other stakeholders. Oversee and conduct community health assessment and planning in fulfillment of Local Health Department Minimum Performance Standards (R380-40). Facilitate strategic planning, community engagement, and data collection and analysis that informs an action-oriented community health assessment and plan. MINIMUM QUALIFICATIONS Education and Experience: Education: Graduation from a university with a master's degree in Public Health, Health Promotion and Education, Epidemiology, or a closely related field. Experience: Must have at least one year of work experience in Public Health, Epidemiology, Public or Health administration, or a closely related field. Skills, Knowledge, and Abilities: Build consensus, foster human dignity, and work effectively with people from a variety of social, ethnic, economic, educational, and professional backgrounds Work with minimum supervision and act independently when appropriate Effectively train and motivate others, and effect change in ideas and attitudes Understand, interpret, plan, and conduct research Design, organize, coordinate, and develop programs and policies Respond adequately to problems and utilize problem-solving techniques Establish and maintain effective, trusted working relationships with the public, government, private groups, and individuals Present data to, and communicate and express oneself clearly and effectively, both orally and in writing, to large and small groups PHYSICAL REQUIREMENTS Ability to lift to 25 pounds maximum with frequent lifting and carrying. Even though the weight lifted may only be a negligible amount, a job is in this category may require walking or standing to a significant degree. **Tooele County is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, or any other protected class.**

About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on the fusion of human and machine intelligence into working AI solutions? We are launching a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. The Institute for Experiential AI (EAI) is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous. Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. The Culture: Here at the Institute of Experiential AI (IEAI) we are committed to the highest of standards in all that we do. Working at the Institute of Experiential AI offers opportunities, an environment, a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology and want to be part of a unique community that works on high-impact business and societal problems. This is a full-time, one-year term appointment with the possibility of renewal. Summary: This position supports the Institute in delivering data science and AI projects and expertise to its industry partners and researchers. Assist in delivering data science and AI courses and professional development programs to learners across the University and industry. Help build AI products that will solve the most pressing issues for organizations, including Responsible AI. Be part of a fast-growing team that will develop and maintain a cutting-edge data platform, acquire data sets for research and education purposes, and use data science strategically to support the Institute's mission. Qualifications: Education & Experience: * Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill. * Experience assisting technical staff in the completion of projects. * Experience communicating with technical and non-technical stakeholders and translating business problems into technical specifications. Knowledge, Skills, and Abilities: * Advanced applied statistics skills, such as distributions, statistical testing, regression, etc. * Professional experience developing machine learning solutions and applying them in real-world scenarios. * Proficiency with machine learning frameworks and pipelines in SKLearn, Numpy, Pandas, and PyTorch. * Proficiency with deep learning frameworks such as PyTorch, TensorFlow, LangChain, HuggingFace, axolotl. * Knowledge of and ability to select, adapt, and effectively use large AI foundational models. * Professional experience developing solutions using NLP, computer vision, or forecasting. * Proficiency with statistical computer languages such as Python or R. * Proficiency with relational database systems (SQL) and object-based data stores. * Ability to define and solve logical problems for technical applications. * Knowledge of and ability to select, adapt, and effectively use various programming methods. Preferred Experience: * Knowledge of and ability to select, adapt, and effectively use large AI foundational models. * Experience with distributed data systems such as Apache Spark. * Expertise in analyzing large, complex, multi-dimensional datasets with various tools. * Expertise in hypothesis testing and AB testing. * Proficiency in Linux and version control software (git). * Familiarity with Object-oriented programming languages such as Python, Java, C# or C++. * Familiarity with Agile / Scrum development practices. Values & Abilities: * Aptitude to independently learn new technologies, prototype, and propose software design and solutions. * Excellent verbal and written communication skills * Drive to learn new technologies, statistical methods, and data manipulation techniques. * Ability to communicate effectively across academia and industry. * Team player who can collaborate effectively across many teams within the University. * Open-minded and assertive when collaborating and working within our team and with other groups within Northeastern University. * Entrepreneurial mindset with an ability to navigate complex structures and processes Key Responsibilities & Accountabilities * Assisting technical solutioning using latest research, technical delivery of projects by defining tasks, by providing contributions (architecting, coding, scaling, and deploying), conducting experiments and synthesizing results * Serve as a technical representative in internal and external meetings * Support in developing technical stack (e.g., datasets, infrastructure) for execution on projects Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit ************************************* for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. Compensation Grade/Pay Type: 111S Expected Hiring Range: $86,490.00 - $122,163.75 With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

Summit School Services companies share a strong commitment to provide the highest level of transportation safety, quality transportation, outstanding customer service and positive employee relations. Our corporate headquarters, located in Warrenville, Illinois, houses the administrative and corporate support functions for the organization. Our 250+ local customer service centers (CSCs) are supported by regional operations teams located throughout North America. **Job Overview** We are seeking a highly skilled and innovative Data Scientist to join our analytics team. The ideal candidate will leverage advanced data analysis, business knowledge and machine learning/AI techniques to extract actionable insights from complex datasets. This role offers an opportunity to work with a variety of applications, data sources, and cloud-based vendor solutions. The Data Scientist collaborates with operations and business teams to create predictive models, dashboards, and reports for staffing, KPIs, and contract renewals. **Responsibilities & Duties** + Design and optimize ETL processes for data ingestion, transformation, and storage + Conduct data mining and exploratory data analysis to identify patterns, trends, and anomalies within large datasets. + Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. + Architect, build and maintain databases with effective design principles to ensure data integrity and accessibility. + Deploy machine learning models into production environments using model deployment best practices on cloud platforms. + Analyze operational and performance data from school bus fleets and contracts + Build predictive and statistical models to improve various points of the business such as contract renewal, staffing needs, operational KPIs. + Stay current with emerging trends in AI and analytics to continuously improve modeling approaches. $125,000 - $165,000 **Qualifications** **Requirements** + Bachelor's degree in computer science or a similar field with 5+ years experience as a data scientist or in a similar role. + 5+ years experience developing with programming languages such as SQL, Java and Python. + Excellent understanding of SQL database/design/programming, ETL Processes, and Microsoft SQL Server. + Experience working with data using structured (SQL) and/or unstructured (NoSQL) approaches. + Experience with or exposure to data visualization principles and practices, especially with Power BI or Tableau. + In-depth knowledge of Azure Data Factory, Azure Databricks, and Azure Service Bus. + Critical thinker with excellent problem-solving skills and the ability to solve end user problems. + A team player with good time-management skills and the ability to maintain a friendly demeanor at all times. + Travel requirement of up to 20% on a regular basis. + Demonstrated ability to quickly learn new applications and technologies + Advanced working knowledge of computer software packages including the Microsoft Office Suite as well as demonstrated understanding of operating systems, relational database design and operation, query tools, reporting tools, and decision support tools + Exceptional interpersonal skills with a focus on teamwork, listening, and the ability to build relationships across the business + Excellent verbal and written communication skills + Ability to effectively prioritize and execute tasks in a high-pressure environment + Sense of ownership and pride in your performance and its impact on the company's success. Self-motivated with an energetic disposition. + Strong knowledge of machine learning frameworks and related tools. + Familiarity with cloud computing platforms for model training and deployment. + Proficiency in natural language processing (NLP), linked data integration, and AI applications. + Knowledge of analytics tools for creating insightful dashboards. + Excellent problem-solving skills with the ability to analyze large datasets effectively. + Strong communication skills to convey complex technical concepts to non-technical stakeholders. _Summit School Services has a zero-tolerance policy on conduct that is incompatible with its policies and values, including sexual exploitation and abuse, harassment, abuse of authority, and discrimination. Summit School Services is committed to promoting the protection and safeguarding of all children and passengers._ _We offer medical, dental, vision, basic life insurance coverage, holiday pay, and PTO accrual. Additionally, employees are able to enroll in a retirement savings plan._ _At Summit School Services our goal is to be a diverse workforce that is representative of the communities we serve. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law._ _Summit School Services LLC's independent subsidiaries and affiliates are an equal employment opportunity (EEO) employer_ . _The pay rate range, along with most all of the other terms and conditions of employment, vary between different sites, geographical markets, customer/ contractual terms and positions._