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 The Principal Application Scientist will act as a partner & advisor to our internal teams such as Product & Solutions Architects & to the customer to solve the most complex business needs of the customer with the Dotmatics SaaS products into complex laboratory, scientific research or scientific development environments. Working in our professional services team you will work closely with our customers to understand their needs, analyse their data environment & design, and implement solutions while aiding in integrations with their systems. The role combines deep scientific domain expertise with hands-on technical capability across data integration, configuration, and solution design. The Principal Application Scientist ensures that solutions are functionally correct, scientifically sound, and aligned to the customer's laboratory workflows and data requirements. This trusted advisor role is highly customer-facing and works closely with Sales, PreSales, Product, Engineering, Cloud Operations and Siemens Digital Industries Software (DISW) architecture teams and delivery partners. It plays a key role in engagements, acting as the technical lead ensuring delivery quality and progress across complex implementations. In this role you will get to - Scientific & Functional Delivery - Lead in discovery activities to identify key systems in scope (customer environment) for data integration. - Work alongside senior leaders internally & client leadership/scientific teams to help identify optimal sourcing and integration strategy ensuring clarity of data requirement, process & workflows in complex laboratory settings. - Provide guidance and best practices on data sourcing for the creation of sustainable integrations and methods utilizing standard data technologies and architectural principles and mentor others. - Conduct technical peer reviews. - Platform and Enterprise Integration and Data Architecture - Data integration: Planning, coordinating, and supervising the integration of data from various sources. - Data flow monitoring: Monitoring the flow of data between databases, servers, and cloud services. - Data architecture: Identifying and implementing the best data integration (DI) architecture for the organization. - Customer & Delivery - Lead the technical/scientific delivery of strategic projects with customers. - Present the benefits of Dotmatics software and explain the technical/scientific value to prospective clients. - Provide oversight and governance on projects where there are parallel activities. - Evaluate user requirements, provide estimates, solution design. - Train Customers on how to use Dotmatics configured solutions. - Communicate and collaborate among cross-functional teams in a multinational environment (Project Managers, Developers, Architects). Qualifications - 10 years + experience in deploying SaaS solutions into the Life science industry/end user environments. - Ideally hold a PhD or comparable working experience in Chemistry, Biology, Data Science, Bioinformatics or similar scientific/technical field. Requirements - Expert experience in consulting customers (typical within the Scientific/Life Science community), with proven experience of SaaS Solution implementations. - Experience as being the technical lead within partner-led delivery engagements, working alongside Stakeholders, Project Managers and Solutions Architects to ensure quality and progress across complex implementations, providing structured feedback directly throughout. - Data integration: Planning, coordinating, and leading teams with the integration of data from various sources. - The ability to clearly document complex key business requirements. - Acting as a consultant to customers, with proven experience of SaaS Solution implementations into complex scientific environments, such as Big Pharma/large laboratory environments. - Advanced knowledge of building and deploying APIs, frameworks, and event-driven integration patterns, with experience in data ingestion and transformation tooling such as Apache NiFi. - In-depth expertise in Oracle (SQL), SQL databases, and cloud native technologies including AWS. - Strong ability to leverage data first architectures utilizing Databricks (incorporating Databricks SQL Warehouse), Snowflake, Sigma, and data warehouse/lake technologies. - Working knowledge of lab informatics software including ELN, LIMS, SDMS and instrument data systems, file transformations (CSV, XML, XLS, XLSX, XSL), and strong configuration management understanding. - Ability to identify and communicate performance, scalability, and data quality risks within implemented solutions. - Strong ability to focus on a data first architecture and data scientist technology (Databricks, Snowflake) and data warehouse/lake technologies. - Programming or scripting language working with scientific data (including, but not limited to Python, JavaScript or other equivalent). - Delivering high quality presentations and training, including the ability to present systems diagramming, UML (Universal Markup Language) and ERD (Entity Relationship Diagrams). - The ability to adjust communication style to speak to the audience with the ability to translate Scientific & Technical language into layman’s terms. Benefits

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)