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Responsibilities: Facilitating a one-hour after-school science enrichment program using a pre-set curriculum. Each session is a high-energy, part entertainment, part education, hands-on class that meets for one hour each week for 8-10 weeks. Enjoy teaching young children the art of science! Occasional daytime programming if your availability allows Qualifications: Some experience working with groups of elementary-age (4-12) children (preferred). Must be available at least two weekdays after 2 p.m. Must have a reliable transportation that is not public or ride share All employees will be fingerprinted for criminal background checks(required) Some college Have a fun & outgoing personality We train you in the curriculum and provide all materials. Mad Science classes follow the school calendar and are presented year-round. This is part-time and rewarding work if it fits with your schedule and lifestyle.$50 per class conducted Compensation: $50.00 per hour Mad Science is a powerhouse brand with locations around the globe! For over 35 years, we have sparked imaginative learning through our summer camps, birthday parties, in-class workshops, after-school programs, and special events for kids ages 3-12. Become part of our team and help us inspire the next generation of scientists and engineers. Our locations are always looking for part-time instructors and full-time office staff.

AI Resident – 2026 Cohort The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science . Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research. Duration: 6–12 months (extension possible) Start Dates: First hires beginning January 2026 , with rolling applications and additional intakes in Summer and Fall 2026 Cohort Size: Small group of selected residents Mentorship: Pairing with technical mentors, feedback from cross-functional teams Resources: Access to proprietary datasets, high-performance compute, and Lila’s research infrastructure Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation. Application Requirement: Please submit your resume alongside a research proposal (up to 3 pages, unlimited references) outlining the project you would plan to pursue during your residency at Lila Sciences. Please submit your research proposal as your cover letter. Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included. About Lila Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai . If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply. Your Impact at Lila The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila’s world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required — what matters most is pushing the frontier of scientific discovery. What You'll Be Building Design and execute independent research projects in AI for materials science Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation Contribute to collaborative team research and co-develop novel approaches to scientific discovery Share findings internally and externally; publications are welcome but not mandatory What You’ll Need to Succeed Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelor’s, Master’s, or PhD) Proficiency in Python and deep learning frameworks (e.g., PyTorch) Experience working with large-scale datasets or simulations Familiarity with modern AI/ML architectures and training techniques Strong research background, demonstrated through publications, thesis work, or open-source projects Bonus Points For Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, simulations) Familiarity with Bayesian optimization, active learning, or generative models Experience in reinforcement learning or agent-based approaches to scientific reasoning Open-source contributions or collaborative research experience Strong communication and writing skills, especially for conveying complex scientific ideas We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We're seeking a Senior Video Producer, Science Communications to advance our strategic objectives: leading AI innovation narratives for Adobe, solidifying brand identity as a birthplace of industry-leading technology, and supporting recrui ting for full-time and intern positions. As a creator of video content and other visuals, you'll craft quick-turnaround social videos, in-depth thought leadership pieces, and executive communications that translate complex AI research into compelling visual stories . You'll oversee end-to-end production processes from story ideation to final de livery, managing timelines, approvals, and asset tracking across multiple campaigns. You'll also strategize and build multimedia content across web, social media, and newsletters—all of which demand skilled multimedia content planning and production. This role will shape how Adobe Research shows up across platforms, ensuring every piece of content is produced with creativity, precision, and impact while translating groundbreaking research into stories the world can understand. This role will include : 20% strategic video and multimedia communications planning , program design, and pre-production work 60% driving scientific story concepts from ideation to finished videos 20% multimedia content creation for blogs, newsletters, and executive communications What You'll Do Develop and implement visual communication strategies – primarily focused on video – to promote Adobe's AI innovation in partnership with the Head of Communications and Engagement, ensuring alignment with brand messaging and business goals in a quickly evolving, fast-paced environment Own the full lifecycle of video content creation for scientific stories from the Research organization—from scouting stories to final production , managing timelines, capacity planning, and asset tracking across multiple projects Produce and deliver 15-20 video and visual assets per month spanning social videos, research explainer content, thought leadership pieces, executive communications, and conference presentations Collaborate with cutting-edge AI researchers and scientists to translate complex technologies into compelling visual narratives for broad audiences Produce high-quality multimedia content: primarily videos, as well as graphics, visual web content, slides, and executive communications Establish scalable workflows, drive approvals and reviews with an eye for quality and brand alignment, and coordinate stakeholder communications throughout production Coordinate with cross-functional teams to ensure strategic distribution of video assets across channels, meeting performance metrics and business objectives Use Adobe Creative Cloud, project management tools (Workfront, Frame.io, or similar), and collaboration platforms to manage workflows, approvals, and efficient delivery Analyze campaign effectiveness and gather insights for continuous improvement Source, vet, and manage production partners, vendors, and interns while juggling multiple projects simultaneously , encouraging a collaborative environment and partnering effectively with internal stakeholders Ensure all visual content adheres to Adobe's brand guidelines and maintains a high standard What We're Looking For 7+ years of experience in video production and visual communications , particularly in technology or science contexts Strong portfolio of creative production work across multiple mediums (video, photography, social content, multimedia) showcasing your hands-on ability to tell compelling visual stories High proficiency in video and multimedia creation using Adobe Creative Cloud and AI tools Self-starter with an ownership mindset who thrive s under tight deadlines , make s quick decisions , and manage s multiple projects in quickly evolving, fast-paced environments under conditions of uncertainty Proven experience in science communications, translating complex research into compelling visual stories for broad and varied audiences. Committed to telling the stories of researchers and their breakthroughs Outstanding video creation and editing skills and ability to create both quick-turnaround social videos and in-depth thought leadership content Expertise in managing creative projects from concept to execution, with proven ability to manage multiple projects simultaneously while staying organized and calm under pressure Deep understanding of what makes engaging social and scientific content and how to bring it to life across channels with in-depth knowledge of content distribution strategies and optimization for engagement, performance, and ROI Excellent storytelling, writing, and communication skills for scripts, short blogs, and social content, grounded in science and thought leadership (not purely marketing) Strong collaboration, leadership, and stakeholder management abilities, with experience coordinating across marketing, product, design, and research teams and ability to partner and negotiate with stakeholders and customers at all levels Experience with content distribution strategies, performance analytics, and budget and resource management across projects and broader departmental needs E xperience working in a startup , newsroom, or other fast-paced equivalent a plus Experience using project management and collaboration tools such as Workfront, Frame.io , or similar platforms to manage workflows and approvals Passion for AI technologies and innovation, with opinions on how emerging tools enhance multimedia storytelling A degree or equivalent experience in Communications (especially Science Communications), Journalism, Digital Media, Film/Video, or a related field is preferred Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $255,450 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $176,400 - $255,450 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Position Summary... What you'll do... Position Summary As a Senior Director of Data Science, you will lead Walmart’s AI strategy and execution across Pricing, Merchandising, Supply Chain for International Markets. In this pivotal role, you’ll drive the design and delivery of AI-powered platforms and agentic intelligence systems that shape the future of how Walmart prices, sources, and moves products globally. You will guide a diverse team of data scientists, machine learning engineers, and applied researchers to build scalable, responsible, and adaptive AI solutions that power Walmart’s global retail ecosystem—impacting millions of customers and associates across markets. What you’ll do... Lead High-Impact Data Science Teams Build, mentor, and inspire world-class data science teams across Pricing, Merchandising, and Supply Chain domains, driving innovation and measurable business outcomes. Shape Walmart’s Global AI Platform Strategy Develop and execute the roadmap for Walmart’s next-generation AI and data science platform—a unified ecosystem that scales across US and international markets to support pricing optimization, inventory planning, and omnichannel merchandising. Drive Agentic AI Innovation Champion the creation of agentic AI systems —autonomous, context-aware solutions that reason, act, and adapt dynamically to real-world business needs. These include intelligent decision agents for demand forecasting, supply chain resilience, pricing elasticity, and assortment personalization. Advance Data Science at Scale Partner with technology, product, and business leadership to operationalize advanced machine learning and causal inference models into production environments at enterprise scale. Deliver Global Impact Collaborate with Walmart International’s data and product organizations to ensure alignment of AI model governance frameworks across markets, driving consistent insights and platform interoperability. Champion Responsible & Explainable AI Embed responsible AI principles into Walmart’s modeling ecosystem—ensuring transparency, fairness, and accountability across automated decision systems. You’ll sweep us off our feet if... You’re a visionary leader who blends business acumen with deep technical expertise. You’ve built large-scale, production-grade AI or platforms in complex, multi-market environments. You’re passionate about agentic AI and believe in creating intelligent systems that learn and adapt to dynamic business contexts. You thrive at the intersection of data strategy, product innovation, and global operations. You inspire teams to think big, execute precisely, and move fast with purpose. Preferred Qualifications 15+ years of experience in data science, analytics, or AI-related fields, with 7+ years in senior leadership. Proven success leading AI and ML initiatives in global retail, eCommerce, or supply chain domains. Expertise in AI platforms, MLOps, and agentic AI systems using frameworks such as LangChain, PyTorch, TensorFlow, and reinforcement learning paradigms. Deep understanding of pricing science, demand forecasting, optimization, and retail merchandising. Demonstrated ability to partner with engineering and product teams to deliver enterprise-scale solutions. Advanced degree (PhD or Master’s) in Computer Science, AI, Statistics, Operations Research, or related field. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $160,000.00 - $320,000.00 Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology or related field and 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or relatedfield.3 years' supervisory experience. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 805 Se Moberly Ln, Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Title: Data Science Intern Program Summary KBR strives to create a safer, more secure and sustainable world by bringing together the best and brightest to deliver technologies and solutions that help our customers accomplish their most critical missions and objectives. Our Colorado Springs, CO Cygnet Heights office is an integration, development and sustainment facility that provides solutions for our customers with safety and quality at the forefront of our operations. Why Join KBR? Mentorship from senior engineers Cutting edge projects, relevant to real world challenges Work in a collaborative and dynamic team environment Competitive pay and great company culture Job Summary KBR is seeking a Configuration Management (CM) Intern to join our team at our Colorado Springs, CO Cygnet Heights office. The selected candidate will operate under the direct supervision of a CM and support projects around ground-based mobile satellite communication systems and radio frequency engineering. The CM Intern will receive direct mentorship in being able to plan and integrate technical data and structures into a Product Lifecycle Management (PLM) Tool. This position will apply principles and techniques of CM to support engineering and drafting on project. Roles and Responsibilities Assist in reviewing and preparing data for integration into PLM Tool Apply CM principles in areas of engineering structures Validate internal and vendor part numbers Provide latest versions of documents and drawings for engineering Review document formatting, spelling and grammar Communicate and collaborate with other engineering disciplines, manufacturing personnel, management, vendors, customers, and subcontractors. Support engineering documentation, i.e., drawings, project specifications, procedures, test data and results Abide by company policies and procedures to complete assigned tasks Must hold a valid driver's license and have the ability to obtain a US DOD security clearance Basic Qualifications Must be a U.S. citizen and have valid documentation Must be currently enrolled at, or have recently graduated from, an ABET accredited college or university pursuing a Bachelor's of Science. Preferred Qualifications Basic knowledge of Configuration Management and PLM tools Possess excellent verbal and written communication skills Able to work a minimum of 20 hours per week Salary Range: $20-$30/hr The salary range posted is based on Colorado Springs, CO. The offered rate will be based on the selected candidate's location, knowledge, skills, abilities, and/or experience, contract affordability, and in consideration of internal parity. KBR Benefits KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet. Sports Science Data Specialist I Knowledge, Skills and Ability Enrollment in an undergraduate program focusing on sport science or a related field (such as kinesiology, exercise science, etc.) Exceptional written and verbal communication skills, enabling effective interaction with diverse audiences. Strong organizational skills, capable of managing multiple tasks in a dynamic setting. Position Responsibilities Execute assigned intern projects, encompassing tasks such as setting up, dismantling, and maintaining sport science equipment. Articulate project outcomes to athletes, coaches, and relevant support personnel proficiently. Work in conjunction with sport science colleagues to enhance ongoing education and program refinement via sport science intern projects. QUALIFICATIONS Education: High School Diploma required with some college/in pursuit of degree in related fields (biomechanics, etc.) being preferred Experience: Preferred experience in collegiate athletics or related professional athletic experience The above statements are intended to describe the general nature and primary responsibilities of this job. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills & abilities required for a job. Job descriptions are not intended, and should not be construed to be an exhaustive lists of all responsibilities, skills, and efforts or working conditions associated with a job. Management reserves the right to revise duties as needed. The University of Miami is recognized as one of the nation's premier research institutions and academic health systems and is among the largest employers in South Florida. With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally. We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service. The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Part time Employee Type: Temporary

Benefits: Working with Kids Great Resume Builder Free food & snacks Help Get Kids Excited About Science! Are you ready to spark curiosity and ignite a love for science in kids? Join the Mad Science team and bring hands-on, jaw-dropping science fun to classrooms across St. Louis! Why Join Us? Make a Difference: Be a hero to kids as you guide them through exciting experiments, fascinating demonstrations, and imaginative activities. Flexible & Fun: Perfect for college students, part-time workers, or anyone looking for a rewarding side gig. No Science Degree Needed: If you have energy, enthusiasm, and a passion for working with kids, we’ll train you on the rest! What You’ll Do Teach 1-hour, high-energy science classes at schools throughout St. Louis. Engage groups of up to 20 kids (ages 5-12) with activities like generating electricity, creating chemical reactions, and building catapults. Work 2-4 afternoons a week (Monday-Thursday) with flexible scheduling to fit your life. The Details Time Commitment: 2 hours per day, between 2:30 PM–5:30 PM. Compensation: Starting at $20/hour. Support: We provide training, curriculum, materials, and a Mad Science lab coat! What We’re Looking For Experience working with kids (e.g., camp counselor, teaching, Sunday School teaching). High-energy, outgoing personality to captivate young students. Reliable transportation and availability at least two afternoons per week. Ability to pass a background check. Why You’ll Love It Whether you’re teaching kids how to make goo, work with robots, or explore the animal kingdom, you’ll leave each class knowing you’ve made a difference. Apply Now! Bring science to life and inspire the next generation of thinkers and creators.Apply online at https://stlouis.madscience.org/workforus-application.aspx Compensation: $20.00 per hour Mad Science is a powerhouse brand with locations around the globe! For over 35 years, we have sparked imaginative learning through our summer camps, birthday parties, in-class workshops, after-school programs, and special events for kids ages 3-12. Become part of our team and help us inspire the next generation of scientists and engineers. Our locations are always looking for part-time instructors and full-time office staff.

The Science Teacher will provide the students a comprehensive academic experience using the Archdiocesan and State of Maryland Science curriculum. This is a full-time, benefit eligible, 10-month teaching position. Essential Functions Maintains high professional standards consistent with the mission of the school and the teaching of the Catholic Church. Plans and implements instructional programs with clear objectives in line with the Archdiocese of Baltimore and State of MD Standards. Creates an instructional environment conducive to learning. Maintains accurate and complete records of student’s progress and development, in a timely manner. Communicates standards, achievements, and deficiencies to students and parents through email, phone calls, conferences, and electronic grade book. Responsible for the safety and active supervision of students both in and outside of the classroom. Position Qualifications Bachelor’s Degree, required. MSDE Certification or the willingness to obtain certification, required. Classroom teaching experience, preferred. Proficient in using a variety of technology. *To be considered for a teaching opportunity and to assist with determining compensation, the following documentation is required to be uploaded with your application: Resume, applicable certifications, licensures (PEL), transcripts, and reference contact information. After submitting your completed application, click “Go To My Presence” to upload these documents. Then click the “My References” link on the right side to submit your reference information. Salary Range : $49,000 - $53,000, Annually Benefits : We offer a comprehensive and competitive benefits package with this position, including health, dental, and vision coverage; employer-paid life and disability insurance; automatic enrollment in the 403(b) plan and employer contribution (whether or not the employee contributes); and generous paid holiday, sick and personal leave. Please click on the link below for more detailed information: https://www.archbalt.org/human-resources/employee-benefits/employee-benefits/

Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided. MAJOR RESPONSIBILITIES: Facilitates student learning by delivering assigned classes in accordance with College policy and course objectives. Makes optimal use of available technology to enhance instructional methods. Develops/maintains course outlines, syllabi, lesson plans, assignments, tests, and materials. Maintains accurate student records, grades, and other requirements. Engages with students in meaningful and productive ways that impact student learning and leads to a positive experience with Ivy Tech Community College, shows evidence of developing and implementing active classroom teaching strategies focused on engaging students with their learning (curricular). Interacts with students and co-workers in a professional and cooperative manner, complies with College policies, campus guidelines and expectations. Ensures knowledge of and implements emergency and safety procedures for classrooms, labs and all learning environments. This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. We are looking for a candidate who is committed to an environment where team members feel valued, respected and supported. The ideal candidate will demonstrate a strong commitment to a workplace culture that recognizes and appreciates varied perspectives, backgrounds, and experiences. We are seeking someone who is passionate about creating and maintaining a team dynamic that encourages open communication and mutual respect. SUPERVISION RECEIVED: Program Chair, Department Chair, or Dean SUPERVISION GIVEN: None Minimum Qualifications: Must have strong working knowledge of current technologies appropriate to area of instruction and meet faculty credentials as outlined in the ASOM 7.1 for the specific area(s) of instruction. Conducts all activities with an appreciation, respect, and promotion of diversity of people, styles, and views. Other Requirements: Science Discipline Standard A qualified faculty member in physical science possesses an earned master's or higher degree, from a regionally accredited institution, with 18 graduate semester hours in the physical sciences. - Transcripts and/or relevant certifications/licenses required at time of hire - Offers of employment are contingent upon completion of a satisfactory background check Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College’s Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Responsibilities: Facilitating a one-hour after-school science enrichment program using a pre-set curriculum. Each session is a high-energy, part entertainment, part education, hands-on class that meets for one hour each week for 8-10 weeks. Enjoy teaching young children the art of science! Occasional daytime programming if your availability allows Qualifications: Some experience working with groups of elementary-age (4-12) children (preferred). Must be available at least two weekdays after 2 p.m. Must have a reliable transportation that is not public or ride share All employees will be fingerprinted for criminal background checks(required) Some college Have a fun & outgoing personality We train you in the curriculum and provide all materials. Mad Science classes follow the school calendar and are presented year-round. This is part-time and rewarding work if it fits with your schedule and lifestyle.$50 per class conducted Compensation: $50.00 per hour Mad Science is a powerhouse brand with locations around the globe! For over 35 years, we have sparked imaginative learning through our summer camps, birthday parties, in-class workshops, after-school programs, and special events for kids ages 3-12. Become part of our team and help us inspire the next generation of scientists and engineers. Our locations are always looking for part-time instructors and full-time office staff.

Benefits: 401(k) Competitive salary Dental insurance Health insurance Paid time off Vision insurance Position: High School Science Tutor/Teacher (On-site) Position Overview: We are seeking an enthusiastic and experienced high school science teacher to join our dynamic faculty team. The ideal candidate should have a rich background in science, capable of teaching various courses including AP Physics 1: Algebra-Based, AP Physics 2: Algebra-Based, Physics, Honors Physics, AP Physics C: Mechanics, AP Physics C: Electricity and Magnetism, Biology, AP Biology, Chemistry, AP Chemistry, Environmental Studies, or AP Environmental Science. The candidate should demonstrate a commitment to fostering an inclusive and engaging learning environment while promoting critical thinking, analytical skills, and effective communication among students. Responsibilities: Plan, prepare, and deliver engaging and challenging lessons aligned with the curriculum standards and objectives of the assigned science courses. Establish a supportive and inclusive classroom environment, encouraging student participation, collaboration, and respect for diverse perspectives. Meet the diverse learning needs and abilities of students, including those with special needs and English language learners, through various teaching methods. Assess student learning through various forms of formative and summative assessments, providing timely and constructive feedback to support their academic growth. Implement effective classroom management strategies, maintaining a positive and orderly learning environment conducive to student success. Collaborate with colleagues to develop interdisciplinary units, share best practices, and align teaching strategies across grade levels and subject areas. Stay updated on developments in the field of science education, including new teaching methods, educational technologies, and relevant research. Participate in professional development opportunities, teacher meetings, and school activities. Fulfill other duties and responsibilities assigned by the school administration. Qualifications: Bachelor's degree in Science, Education, or a related field; master's degree preferred. Valid teaching certificate/license in secondary Science (Preferred). At least two years of teaching experience at the high school level within the past two years, demonstrating effectiveness in teaching science(Preferred). Familiarity with various teaching strategies, assessment techniques, and educational technologies to support student learning and engagement. Strong interpersonal and communication skills, able to collaborate effectively with colleagues, students, parents, and other stakeholders. Commitment to diversity, equity, and inclusion in education, with the ability to create inclusive and supportive learning environments for all students. Passion for science, education, and the teaching profession, genuinely aiming to inspire and empower students to become lifelong learners and critical thinkers. Compensation: $4,600.00 - $7,500.00 per month

About Us: At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster, smarter, and with better focus. We integrate seamlessly with tools like Zoom, Microsoft Teams, Google Meet, Slack, and more, helping teams stay aligned and move forward, whether they’re in the same room or across time zones. Backed by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is growing. If you're excited to shape the future of AI-powered collaboration and want to make an impact at a product-focused startup, we’d love to meet you. The Role: We’re looking for a strategic and hands-on VP of Data Scienceto lead Read AI’s core technical foundation across AI, machine learning, and data engineering. This role will oversee a growing team of data scientists, ML researchers, data engineers, and MLOps professionals focused on building and scaling our AI models, pipelines, and production infrastructure. You’ll own the roadmap, execution, and quality of everything from research to deployment, helping shape the future of AI-powered productivity. Responsibilities Lead and grow a cross-functional data organization spanning research science, ML, and analytics. Recruit, mentor, and develop managers and ICs across functions, fostering a collaborative and high-performance culture. Create clear development paths and career opportunities for a diverse and deeply technical team. Define and drive our long-term AI/ML roadmap, ensuring alignment with product and business goals. Balance forward-looking research with delivering impactful, scalable product features. Represent the data science org to executive stakeholders and help shape company-wide priorities. Oversee the design and optimization of data infrastructure and real-time ML systems, including ranking, summarization, RAG, LLM orchestration, and signal processing. Drive best practices for model experimentation, evaluation, deployment, observability, and responsible AI. Enable a flexible, high-velocity experimentation environment that empowers scientists and engineers to move quickly. Partner closely with Product, Engineering, Design, and GTM teams to integrate AI deeply into our user experience. Translate technical capabilities into product innovation and measurable business value. Serve as a thought leader for AI both internally and externally (optional: speaking, publishing, or open-source contributions). Qualifications: 10+ years of experience in data science, ML, or applied research roles, with 5+ years in technical leadership roles. Demonstrated success leading teams that built and deployed production AI at scale in real-world user-facing applications. Hands-on experience with LLMs, transformers, and modern ML stacks (e.g. PyTorch, JAX, TensorFlow, Hugging Face, LangChain). Strong knowledge of cloud-native data and ML platforms (e.g., BigQuery, Spark, Ray, Airflow, KubeFlow). Proven ability to manage infrastructure as well as applied ML science. Excellent communication skills, with the ability to influence both executive stakeholders and technical teams. Experience building and deploying models to both B2C and B2B experiences that touches tens of millions if not more Experience with GenAI, Retrieval, ML or Recommendations. Advanced degree (MS or PhD) in Computer Science, ML, Statistics, or related field preferred. Why Read AI? Innovative: We bring AI to the masses with proactive technology that acts as the ultimate AI assistant. Built on our proprietary, patented technology, Read AI takes notes, surfaces information, facilitates collaboration, and learns you, making individuals and teams more effective. Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action. Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is one of the leading AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, also was recognized as a Top Startup in Seattle by LinkedIn (2025), also notably a Top Company To Watch in 2025 by Inc Magazine, and is one of the Top AI Companies in Demand by Startups , according to a16z. Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile and listen to him share his vision for AI Agents, Digital Twins and the Future of Work . CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI . For more on our technology, Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief . Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team. The annual base salary for this position ranges from $230,000 - $250,000 plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Sony Pictures Entertainment (SPE) is home to some of the world’s most beloved films and television series. From Cobra Kai to The Night Agent , our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We are seeking a Director of Data Science to lead, mentor, and grow a high-performing team of data scientists while remaining hands-on in technical work. This role requires a leader who can navigate ambiguity, communicate clearly across all levels, and build impactful machine learning solutions that support SPE’s content, marketing, and distribution teams. You will shape the direction of data science at Sony Pictures and help establish a strong, collaborative, and positive team culture. What You’ll Do: Technical Leadership Lead the design, development, and deployment of machine learning models, including traditional ML techniques with opportunities to expand into deep learning and generative AI where appropriate. Oversee end-to-end model development, including problem scoping, data exploration, feature engineering, model training, validation, and operationalization. Contribute as ahands-on IC, demonstrating excellence in execution while modeling collaboration and best practices Conduct code reviews, set technical standards, and ensure model quality, rigor, reproducibility, and performance monitoring. Guide the creation of POCs, validate feasibility, and partner with engineering to productionalize models and data science tools. Work closely with product teams to define requirements, drive adoption, measure impact, and continuously improve data science products Support work across diverse problem types, from predictive modeling and classification to unstructured text processing and AI-enhanced apps. Promote best practices in responsible AI, including interpretability, fairness assessments, and ongoing model governance. Team & Strategy Leadership Manage, mentor, and develop a team of data scientists and analysts, supporting both technical growth and career progression. Scope and structure ambiguous, loosely defined business asks, transforming open-ended questions into actionable data science projects with clear roadmaps and deliverables. Communicate effectively upward, downward, and across the organization, serving as the connective tissue between the team, stakeholders, and leadership. Help the team navigate the realities of the work cycle—projects that may begin undefined or become high-pressure when deadlines accelerate—and ensure priorities remain balanced and achievable. Foster a positive, collaborative culture that values learning, curiosity, flexibility, and giving each other grace as the team grows and evolves. Serve as a strategic partner to stakeholders, helping them articulate needs, uncover insights and drivers, and understand the value data science can deliver What We’re Looking For 10+ years of experience in data science, machine learning, or applied analytics roles. 3+ years of experience managing people, including hiring, mentoring, and performance management. Strong proficiency in Python, SQL, and widely used ML frameworks (scikit-learn, XGBoost, TensorFlow or PyTorch). Deep experience with MLOps practices including CI/CD for ML, feature stores, model registries, monitoring, drift detection, cloud platforms (AWS, GCP) and MLOps tooling Proven experience delivering end-to-end ML solutions, including modeling, implementation, and impact measurement. Strong understanding of traditional machine learning techniques Experience with modern Gen AI techniques such as prompt engineering, embeddings, RAG pipelines, vector databases, and conversational AI/agent frameworks Excellent communication and storytelling skills; able to simplify complex models and influence cross-functional partners. Demonstrated ability to lead teams through ambiguity, rapid changes, and competing priorities. Commitment to team culture, collaboration, and continuous learning. Nice to have: Experience in the media & entertainment industry. Familiarity with apps (Dash, or Shiny). Why Join Us Shape the future of entertainment — your work will directly influence how audiences around the world discover and enjoy Sony content. Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $190K to $228K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Benefits: Flexible schedule Free uniforms Training & development Responsibilities: Facilitating a one-hour after-school science enrichment program using a pre-set curriculum. Each session is a high-energy, part entertainment, part education, hands-on class that meets for one hour each week for 8-10 weeks. Enjoy teaching young children the art of science! Occasional daytime programming if your availability allows Qualifications: Some experience working with groups of elementary-age (4-12) children (preferred). Must be available at least two weekdays after 2 p.m. Must have a reliable transportation that is not public or ride share All employees will be fingerprinted for criminal background checks(required) Some college Have a fun & outgoing personality We train you in the curriculum and provide all materials. Mad Science classes follow the school calendar and are presented year-round. This is part-time and rewarding work if it fits with your schedule and lifestyle.$50 per class conducted Compensation: $50.00 per hour Mad Science is a powerhouse brand with locations around the globe! For over 35 years, we have sparked imaginative learning through our summer camps, birthday parties, in-class workshops, after-school programs, and special events for kids ages 3-12. Become part of our team and help us inspire the next generation of scientists and engineers. Our locations are always looking for part-time instructors and full-time office staff.

Online Math and Science TutorThinkingStorm is a national online tutoring company seeking writing tutors to conduct live online tutoring sessions from home. Our ideal tutor has a BA/BS degree or higher in a math or science related discipline. If tutor is applying to be a math tutor, they should be comfortable teaching math levels up to Calculus, with higher levels being preferred. Science tutors need proficiency in either biology, chemistry, or physics, with preference given to those with comfortability in more than one subject. Additionalconsideration will be given to applicants who have experience with quantitative and/or qualitative research design, or ESL instruction. This is a great position for people who desire some flexibility in their daily schedules. Math and sciencetutors can fit their responsibilities around errands, graduate school courses, other part-timejobs, or family obligations. Tutors receive appointments and conduct tutoring sessions via ThinkingStorm’s system. Desired Time Commitment: 15-20 hours per week, though discussions can be had about different arrangementsCompensation: $14-16 an hour based on experience and subject matter You must have a reliable internet connection to be considered for this position. To apply, please email us your resume at tutorrecruiting@thinkingstorm.com . Please confirm which position you are applying for in the e-mail by putting the exact title in the subject line as we have multiple different positions open.If your resume meets our qualifications, you will be asked to complete a mock teaching session for a Thinkingstorm employee, to be scheduled upon further consideration. This is a remote position. Compensation: $14.00 - $16.00 per hour

The National Security Sector at Leidos currently has an opening for a Research Scientist at the U.S. Army Combat Capabilities Development Command – Chemical Biological Center (DEVCOM CBC) facility located at Aberdeen Proving Ground, Maryland. This is an exciting opportunity to use your experience helping the DEVCOM CBC mission. In this mission we support DEVCOM CBC in basic and applied research, development, testing, and evaluation efforts to support the U.S. Warfighter and ensure our Warfighters maintain battlefield dominance during a chemical and/or biological event. Primary Responsibilities. Specific efforts will include leading a team in analysis of chemical materials, development and characterization of novel materials to include polymers and thermoplastics and testing, evaluation, and modeling materials against traditional chemical warfare agents, non-traditional agents, and toxic industrial chemicals (TICs) and toxic industrial materials (TIMs). The research scientist subject matter expert (SME) will work supporting the DEVCOM CBC Principal Investigator and other research scientists, chemists, and engineers. Basic Qualifications. Ph.D. in Material Science, Chemistry, Engineering or other equivalent scientific fields with 20 or more years of prior relevant experience. Candidate must be able to obtain and maintain a U. S. Department of Defense Secret Clearance with potential for Top Secret Clearance; must demonstrate successful experience in: (1). Functioning as a Subject Matter Expert (SME) in performing research and development in areas of polymer and thermoplastic development; (2). Highly experienced in using technologies and applications such as melt spinning, melt rheology, dynamic scanning calorimeter, ASTM mechanical testing, and microscopy to include scanning electron microscopy (SEM); (3). Expertise in filtration technologies for particulate capture and measurement and familiarity with N95 and High Efficiency Particulate Air (HEPA) development. Preferred Qualifications. Demonstrated expertise in organic synthesis, ability to conduct computational fluid dynamic (CFD) modeling for vapors and particulates. Experience in computer aided design (CAD) and knowledge of multilayer thermoplastics. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: December 16, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $116,350.00 - $210,325.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Environmental Science Expert - $90/hr Remote - Alignerr - Location: Remote About the job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. Organization : Alignerr Position : Environmental Science Expert (Masters/PhDs) Type : Hourly Contract Compensation : $75–$90 /hour Location : Remote Commitment : 10–40 hours/week Role Responsibilities (Training support will be provided) - Develop, solve, and review advanced environmental science problems with real-world relevance. - Apply expertise in climate modeling, ecology, sustainability, or related areas to design complex problem statements. - Collaborate asynchronously with AI researchers and domain experts to enhance AI model reasoning. - Ensure scientific rigor, clarity, and depth across all deliverables. Requirements - Master’s or PhD in Atmospheric Science or a related field from a top U.S. university (or equivalent). - Experience coding in Python or R for research or projects. - Strong expertise in climate modeling, ecology, or sustainability. - Exceptional written and verbal communication skills with strong attention to detail. - Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia. Preferred : - Prior experience with data annotation, data quality, or evaluation systems Application Process (Takes 15-20 min) - Submit your resume - Complete a short screening - Project matching and onboarding PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. $75 - $90 an hour

Making a Difference The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $162 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB’s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB. Serving more than 692,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS. SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee. Home To Top Talent Our high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders. Job Description: About the Team The Data Strategy & Information Delivery Division is a growing, client service-oriented team. We are business-centric, working closely with the investment management and operational teams to anticipate and meet their complex information and reporting needs. With the combination of Data Science, Reporting, and Data Management, we are transforming SWIB into a premier data driven organization. Position Overview SWIB is seeking a Data Science intern to work on the Data Science team. The intern will work up to 40 hours per week over the summer, with the possibility of further work for 10-15 hours per week during the school year, if the selected candidate is local. Essential activities: Assist in collecting, cleaning, and analyzing large investment and market datasets. Support development of predictive models, statistical analyses, and data visualizations to guide investment strategies. Collaborate with cross-functional teams, including portfolio managers, to translate business needs into actionable data solutions. Participate in research initiatives focused on alternative data, quantitative analytics, and emerging investment technologies. Document methodologies, findings, and recommendations. The Ideal candidate: Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2026. Ability to understand results in context (i.e. when does something look wrong). Working with large, structured data sets. Interest in investment management and quantitative finance. Background in Agile methodologies. Extensive SQL background. Passion for AI/ML. Additional technologies may include R, Python, Power BI.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will work on data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy with data scientists to match projects to your interests and goals. You will improve your skills in operations, enhance products, and generate new insights. You will be a Fellow in a full-time position with a duration of one year, beginning in June 2026. Please be prepared to submit upon request the following during the interview process: letter of recommendation and personal statement. Responsibilities Work with internal data science teams on assigned projects. Develop data science approaches, including machine learning models, to improve understanding and predict health care outcomes, conduct data management, and other assigned tasks. Collaborate with internal Vizient staff and leaders, and external stakeholders including Vizient clients, vendors, and other third parties. Conduct self-directed research into healthcare data topics. Participate in client-facing meetings and ‘voice-of-customer’ work to gain understanding of Vizient business needs. Participation in rotations and completion of a capstone project during the Fellowship is an option. Organize a monthly Speaker Seminar Series in collaboration with co-fellow. Qualifications Relevant degree preferred: Master’s degree in data science, statistics, medical or health informatics, or related field highly desired. No previous work experience required. Demonstrated technical skills, including strong proficiency with database design involving SQL, and with programming languages such as Python, R, or SAS required. Demonstrated proficiency in quantitative skills including statistical inference such as Bayesian inference, machine learning application of mathematics for data analysis, and machine learning model development required. Graduate course and project work, or substantial experience in health care data or a technical field preferred. Experience with health care data, such as Electronic Health Records/Electronic Medical Records (EHR/EMR) data, and health care data standards preferred. Strong communication and project management skills preferred. Willingness to travel. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $51,900.00 to $87,900.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.