Title: Upward Bound/Upward Bound Math Science Coordinator Location: Butte, MT Department: Institute for Educational Opportunities Job Description:Title: Upward Bound/Upward Bound Math Science Coordinator Job Type: Contract Professional on a Letter of Appointment- Fiscal Year, Full time Funding Type: Grant Funded Department: Institute of Educational Opportunities FLSA: Exempt - Salary Montana Technological University provides a comprehensive benefits package for all eligible positions that includes health, dental and vision insurance, mandatory retirement plan with employer contribution, partial tuition waiver, and a wellness program. Montana Tech is seeking a full-time coordinator to deliver college preparatory services to Upward Bound & Upward Bound students in Butte. The coordinator will also be expected to be on Montana Tech's campus once per week. The main duties of the position are: tutoring students, assisting students in college and scholarship applications, taking students on culturally enriching educational experiences, supporting students in goal setting, and maintaining paperwork on services provided to meet federal reporting requirements. The coordinator will also take an active role in planning and executing an intense 6-week summer academy for participants. DUTIES: - Develop, execute, monitor, and evaluated student service offerings and plan of operations for each high school. - Assist in identifying, recruiting, and selecting student participants. - Provide MTUB/UBMS information to target high schools. - Assist in assessing and prescribing a plan of project services for each participant. - Maintain a presence in target schools by recruiting students, conducting participant follow-up, and meeting with appropriate school personnel. - Maintain and facilitate communication between project, participants, parents, and target schools. - Provide leadership for effective parental and community involvement. - Contribute to the annual development and daily delivery of approved curriculum for program participants and/or program staff. - Deliver financial literacy services to students and their families. - Recruit, recommend for firing, schedule, train, supervise, and evaluate all tutors or referring tutor programs. - Establish and maintain a tutoring program when possible. - Seek professional development via trainings and engagement with professional associations. - Attend all Institute and program meetings at Montana Technological University. REQUIRED QUALIFICATIONS: - Bachelor's degree in education or related field. - Previous experience with 9th-12th grade students. - Previous experience as a project leader responsible for student-oriented projects. - Willing to travel frequently. - Excellent oral and written communications skills. - High comfort level with teenage students and advising the adolescent development process. - Proficient in Microsoft Office and the ability to work with various medias. PREFERRED QUALIFICATIONS: - Clear understanding of Montana post-secondary educational opportunities, admission requirements, application procedures, and financial aid nuances. - Experience working with culturally diverse people in an academic setting. - Experience in working with federal grants. - Background similar to participants. PHYSICAL DEMANDS: - Ability to life 20-50 pounds. - Ability to ride on a bus or drive a vehicle for extended trips. - Ability to sleep in a tent and accompany students on camping excursions, if necessary. Application Requirements For full consideration application materials must be complete. Any offer of employment is contingent upon a satisfactory criminal background check. Equal Opportunity Employer Statement Montana Tech is committed to providing a working and learning environment free from discrimination. As such, the University does not discriminate in the admission, access to or conduct of its educational programs and activities nor in its employment policies and practices on the basis of race, color, religion, national origin, ethnicity, creed, service in the uniformed services (as defined in state and federal law), veteran status, gender, age, political beliefs, marital or family status, pregnancy, physical or mental disability, genetic information, gender identity, gender expression, or sexual orientation or preference. In support of the University's mission to be inclusive and diverse, applications from qualified minorities, women, veterans and persons with disabilities are highly encouraged. Montana Tech makes accommodation for any known disability that may interfere with an applicant's ability to compete in the hiring process or an employee's ability to perform the duties of the job. In compliance with the Montana Veteran's Employment Preference Act, Montana Tech provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. Employment Eligibility: All New Employees must be eligible and show employment eligibility verification by the first date of employment at Montana Tech as legally required (e.g., Form I-9). Montana Tech will require proof of authorization to work in the United States before final hiring. - Further, based on the September 19, 2025, Presidential Proclamation and accompanying guidance from the USCIS and Dept. of State, the University may not be able to offer H-1B sponsorship. Particularly the University is not able to pay the $100,000 payment accompanying new H-1B visa petitions. Why Work at Tech? Help meet the changing needs of society by providing a transformative student experience by helping develop leaders for tomorrow by advancing science, engineering and technology. Benefits Package In addition, Montana Tech offers an attractive benefits package* which includes: - Medical, Dental, and Vision Insurance with low deductibles and comprehensive coverage. - Generous employer contribution toward monthly health care benefits worth $6.08 per hour. - 5.9% retirement employer contribution for eligible employees - 11 Holidays per year - 3 weeks of Annual Leave to start - Generous sick leave policy that can be used for sick children, doctor and dentist appointments as well as bereavement. - 6 credits of coursework free per year (fees not included) - Life and Disability Insurance - Reduced tuition for dependents after 4 months of employment for eligible employees - Employee Assistance and a Wellness Program - Optional Retirement Plan for eligible employees - Possible remote work days with supervisor approval and eligible positions. *Benefits are dependent on position type and terms and conditions of eligibility. About Montana Tech Montana Technological University, Butte Montana, is nestled in the Heart of the Rocky Mountains along the Continental Divide, where I-15 and I-90 intersect. We are home to the largest National Historic District in the country. Montana Tech is a special focus institution with a reputation for excellence and value. Montana Tech is ranked #1 in the nation by CollegeNET.

Role Description We are seeking a Data Scientist to join our growing Strategic Analytics, Value, and Economics team. In this role, you’ll leverage advanced data science and health economics methods to help shape access to life-saving therapies and innovations. You’ll work with rich, real-world healthcare data including Medicare and Medicaid claims to uncover insights that directly inform policy, pricing, and patient access decisions across the life sciences sector. This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments reach the patients who need them most. The person in this role will perform healthcare claims-based analytics for a variety of internal and client-facing teams. Analytics work will include health economics and outcomes research (HEOR), market basket assessment of diseases or treatment usage, and related evidence-generation studies. Job Duties - Designing and executing analyses in Medicare and Medicaid healthcare claims - Lead in the development and production of deliverables (Excel workbooks and PowerPoint decks) as well as communicating results to shareholders - Manage data analysts and assist in the QA of programs and analyses Qualifications - Master’s or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field - At least 3 years of professional experience with SAS, SQL, or other relevant programming experience applying data science in healthcare, HEOR, or life sciences - Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical trial data) - Experience working with data offered in the CMS’ Chronic Condition Warehouse - Experience working in the Virtual Research Data Center (VRDC) offered by CCW - Experience working with data in Medicare Standard Analytic Files (SAF), Research Identifiable Files (RIF), or Medicaid T-MSIS data Location Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington, DC or Austin, TX, will have the option of hybrid work arrangements. Compensation and Benefits The salary range is $90,000-$140,000 annual base salary plus bonus plan. Exceptionally qualified candidates will be evaluated according to experience levels. Please include your salary requirements with your application if they exceed the posted range. ADVI offers an outstanding benefits package, including the following: - Medical, dental, and vision - 8 paid holidays, including one ADVI Anniversary Day per calendar year - 401(k) retirement contribution match, up to 3 percent of salary, with immediate vesting - Health Reimbursement Account - Life and short-term and long-term disability insurance - Paid vacation and sick leave Diversity Statement ADVI’s commitment to diversity, equity, inclusion, and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then build an environment where you can become the best version of yourself. Our Vision To be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide. Our Mission To provide life science and healthcare innovators the benefit of our team’s wisdom, empathy, and creativity that, through data-informed strategy, generates evidence to optimize outcomes and, through tech-enabled access solutions, creates opportunities and expands care. Our Values - Act with Integrity - Strive for Excellence - Make an Impact - Think smart, Stay curious - Celebrate the Journey, not just the results We look forward to hearing from you! #LI-Remote

• Desenvolver, validar e evoluir modelos estatísticos e de Machine Learning, garantindo performance, estabilidade e explicabilidade • Conduzir análises de ponta a ponta: exploração, preparação, modelagem e entrega • Aplicar técnicas de modelagem preditiva, clustering, detecção de anomalias e forecasting em problemas de negócio • Trabalhar com grandes volumes de dados, garantindo qualidade, integridade e coerência estatística • Atuar em casos de uso estratégicos, traduzindo necessidades de negócio em soluções analíticas orientadas a dados • Apoiar a colocação de modelos em produção em colaboração com times de engenharia de dados e MLOps • Comunicar resultados e insights de forma clara para públicos técnicos e de negócio • Atuar de forma colaborativa com times multidisciplinares (engenharia, analytics, produto e negócio)

Role Description As a Principal Data Scientist at Kainos, you will be accountable for the successful delivery of large-scale, high-impact AI solutions that leverage state-of-the-art machine learning, generative, and agentic AI technologies. You will help set the direction for AI and data science across the business, driving the adoption of modern AI development practices and scalable, cloud-native architectures at enterprise scale. - Provide technical and thought leadership, engaging with C-level and senior stakeholders to define architectural principles and strategic direction. - Foster a culture of innovation, continuous learning, and engineering excellence—both within Kainos and across the wider industry. - Lead, mentor, and develop a community of data scientists, AI engineers, and technical managers, ensuring the adoption of robust standards and responsible AI practices. - Build enduring customer relationships and proactively develop new alliances with technology partners. - Shape Kainos’ commercial AI offerings and embed commercial acumen to influence account strategies. - Ensure customers get measurable business value from AI investments. Qualifications - Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. - Demonstrable experience of technical leadership in AI delivery. - Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs, and agentic AI. - Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG), and orchestration of agentic AI systems. - Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data, and integrating non-traditional data sources. - Deep understanding of responsible AI principles, model interpretability, and ethical considerations, with a track record of influencing policy and standards. - Ability to communicate and negotiate with C-level and senior stakeholders, translating complex technical concepts into business value. - Experience in developing and executing account strategies, shaping commercial AI offerings, and driving business development in partnership with sales and account managers. - Demonstrated ability to build and lead high-performing teams and wider AI and data science communities. - Strong commercial acumen with a history of influencing the commercial success of AI products and solutions. Requirements - Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g., scikit-learn, XGBoost). - Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. - Active contribution to open-source AI projects, research publications, and industry events/websites. - Familiarity with AI security, privacy, and compliance standards (e.g., ISO 42001). Benefits - Supportive and inclusive work environment. - Opportunities for continuous learning and professional growth. - Engagement in diverse and innovative projects. Company Description Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. - 150-strong AI and Data Practice with deep expertise in machine learning, generative AI, agentic AI, and data. - Pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide. - Commitment to ethical, secure, and measurable AI deployment.