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Monmouth University is seeking applications for an Adjunct Professor in the Mathematics department to support the Statistics program. Part-time Adjunct Faculty members typically teach 3-6 credits per semester, with class schedules determined based on departmental needs and candidate availability. Courses are taught in person at the West Long Branch campus. Adjunct positions remain posted continuously to expand the university’s pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps. This is an in-person, on-campus, non-remote position. For additional information about the department, please visit the Department of Mathematics webpage. Additional Application Material Required: Monmouth University requires all applications and supporting documents to be submitted via the university’s career portal. In addition to the application, candidates must upload the following documents. Applications will not be considered complete for review until all required documents are uploaded. Resume or Curriculum Vitae Cover Letter Contact Information for Three Professional References Two Letters of Recommendation Optional Documents: None Special Instructions to Applicants: We encourage candidates to include information in the cover letter that addresses their approach to teaching and their plans to advance diversity, equity, and inclusion in their position at Monmouth University. Duties and Responsibilities: Teach 3-6 credits during the semester. Develop and deliver course lectures, discussions and assignments in accordance with the curriculum and learning objectives. Provide time during the week to meet with students outside of class. Foster a positive and inclusive learning environment conducive to student engagement and academic success. Develop and administer projects and exams to evaluate student learning outcomes and provide grades in a timely manner. Provide timely feedback and guidance to students to support their learning and development. Enrichment Statement: Monmouth University values diversity and invites applications from underrepresented groups who will enrich the teaching and service missions of the university. Minimum Qualifications: Master’s degree or higher in Mathematics or a related field. Excellent interpersonal, organizational and communication skills Preferred Qualifications: None Questions regarding this search should be directed to: Susan H. Marshall at smarshal@monmouth.edu or 732-571-4462 Note to Applicants: Adjunct positions remain posted continuously to expand the university’s pool of qualified adjunct faculty. Screening of applications will commence when an open position becomes available. Should a position become available, you will receive an email advising you of the next steps. Working at Monmouth University perks: Employee Assistance Program (EAP) Employee Tuition Remission Employee elective deferrals to TIAA, 403(b) plan On campus, Fitness Center – free membership To view a full list of benefits, visit our benefits page at: Employee Benefits Information | Human Resources | Monmouth University Department: Mathematics Work Schedule: varies Total Weeks Per Year: 14 Expected Salary: $1,100 per/credit Union: N/A Job Posting Close Date N/A

Are you a statistics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline data analysis for scientists everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for statistics specialists who live and breathe probability theory, statistical modeling, data analysis, hypothesis testing, regression analysis, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning algorithms. You’ll challenge advanced language models on topics like statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on data scenarios and theoretical statistics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in statistics, data science, mathematics, or a closely related field is ideal; peer‑reviewed publications, applied statistical research, or hands-on experience with large datasets signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your statistics expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. • Job title: Statistics Specialist – AI Trainer• Employment type: Contract• Workplace type: Remote• Seniority level: Mid‑Senior Level

Online Criminal Justice 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 Statistics or a relevant subject with statistics experience. Additionalconsideration will be given to applicants who have experience with tutoring or teaching the position on top of academic experience. Competency in other subjects beyond Statistics will also be high valued and beneficial to supplement schedule with additional sessions. There are two tiers of statistics that we are looking for. We have demand for introductory undergrad level statistics courses, as well as advanced undergrad/graduate school statistics courses, with compensation and interest in your candidacy increasing if you can do both. This is a great position for people who desire some flexibility in their daily schedules. Tutors can fit their responsibilities around errands, graduate school courses, other part-time jobs, or family obligations. Tutors receive appointments and conduct tutoring sessions via ThinkingStorm’s system. Desired Time Commitment: 10-20 hours per week, range based on subject breadth and experience as well as availability.Compensation: $14-16 an hour for intro statistics candidates, but $16-20 can be offered for those that can also do advanced statistics courses. You must have a reliable internet connection to be considered for this position. To apply, please email us your resume at tutorrecruiting@thinkingstorm.com . 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: $16.00 per hour

Engineering a world of possibilities The Department of Applied Mathematics and Statistics (AMS) at the Colorado School of Mines in Golden, Colorado invites applications for up to three (3) Postdoctoral Fellowship positions to begin (subject to availability) in August 2026. The position is a two-year appointment (based upon satisfactory performance) that can be renewed by the department for an additional year. The AMS department is a diverse and collegial cohort of 23 faculty members, split almost evenly between research faculty and teaching faculty. Research interests within the department are broad, varied, and frequently interdisciplinary in nature, including mathematical biology, mathematical geosciences, applied partial differential equations, environmental and spatial statistics, scientific computing, and the scholarship of teaching and learning. Mines has the highest admission standards of any university in Colorado and the AMS department confers Bachelor's, Master's, and PhD degrees in applied mathematics and statistics, while providing foundational mathematics coursework for all other Mines majors. Primary Responsibilities: Postdoctoral Teaching Fellows are expected to teach 3-5 courses per year. While the primary teaching responsibilities will be in the core mathematics sequence (Calculus I, II, III and Differential Equations), there may also be opportunities to teach outside of the core curriculum (e.g., Intro to Scientific Computing, Linear Algebra, Intro to Statistics, Intro to Probability) Postdoctoral fellows are further assigned a research mentor from the AMS faculty who guides the fellow in their professional development as a researcher. In addition to teaching obligations, postdocs may collaborate with AMS faculty within their distinct research field or across the department in the improvement and delivery of the AMS curriculum. Additional Responsibilities: Writing manuscripts within peer-reviewed journals and presenting results at (inter)national conferences and workshops Potential for collaboration within an associated research group, including an AMS faculty member, other postdocs, as well as graduate and undergraduate students at Mines Potential for participation in grant-writing and annual reports Perform other duties as assigned Minimum Qualifications: Education and Experience: PhD degree in Mathematics, Applied Mathematics, Computational Science, Statistics or a related field by August 2026. This position is intended for recent PhD candidates. Previous experience in teaching mathematics at the collegiate level Knowledge, Skills, and Abilities: Strong commitment to and experience with undergraduate teaching Experience with mathematics research via journal and/or conference publications Strong communication (both oral and written) and interpersonal skills for collaborative work. Preferred Qualifications: Education and Experience: Undergraduate teaching experience within a coordinated, multi-section setting Experience with and outstanding promise in research devoted to applied and computational mathematics, mathematical biology, applied PDEs, or statistics Interest in interdisciplinary research efforts Experience with mentoring undergraduate student research About Mines & Golden, CO When the world looks for answers, the world looks to Mines. Colorado School of Mines is a top-ranked public university solving the grand challenges facing our society, particularly those related to the Earth, energy and the environment. Founded in 1874 with specialties in mining and metallurgy, Mines' scope and mission have continually expanded to meet the needs of industry and society. Today, we are the No. 36 public university in the nation, recognized for our innovation and undergraduate teaching in science, technology engineering and math (U.S. News and World Report, 2025). Mines graduates are change makers, boundary breakers and problem solvers. Since our earliest days, a Mines education has been and continues to be a transformational opportunity, with one of the strongest returns on investment out there for talented STEM students of all backgrounds. At the same time, Mines faculty members are pushing their fields in new directions, whether that's manufacturing, space resources, quantum engineering, carbon capture or more. Mines was recently classified as a R1 "Very High Activity" research institution by Carnegie, a notable feat for any university but particularly one of our size. Are you looking for an inspiring, mission-driven workplace where you can contribute to solving the world's problems and educating the next generation of change makers? Are you an individual who values a diverse and inclusive community, where our different perspectives, experiences and cultures enrich the educational and work experience? Look to Mines. Equal Opportunity Through its policies, procedures and resources, Mines complies with federal law, Colorado state law, administrative regulations, executive orders and other legal requirements to prevent discrimination (including harassment or retaliation) within the Mines campus community and to address potential allegations of inequity or concerns for safety. Annual Rate $60,000 - $70,000 Mines takes into consideration a combination of candidate's education, training and experience as well as the position's scope and complexity, the discretion and latitude required in the role, work location, and external market and internal value when determining a salary level for potential new employees. In addition to the amazing benefits mentioned below, Mines continues to show its dedication to its employees by offering an 11% employee contribution through our Mines Defined Contribution Plan and an incredible 12% employer contribution with immediate 100% vesting for our Administrative Faculty positions! Colorado School of Mines offers a robust portfolio of benefits for all employees. For this role, that includes: Flexible health and dental care options Generous sick/vacation time: 13 paid holidays per year - including a week-long winter break for entire campus. Fully vested retirement plan on first day of employment, with generous employer contribution Tuition benefits (6 credits per year for employees, 50 percent discount for dependents) Free RTD Ecopass All Mines employees also have access to discount programs through the State of Colorado and free tickets for Mines Athletics home games, as well as access to the state-of-the-art Recreation Center (fitness classes and training, swimming pool and more) and equipment rentals through the Outdoor Rec Center. We are proud to have recently opened an on campus daycare center. For more details about benefits at Mines, visit mines.edu/human-resources/benefits. How to Apply To apply for the position, please send a cover letter stating your professional background, teaching, and research interests, a full curriculum vitae including a publication list and a list of courses previously taught, and teaching and research statements (limited to two pages each). Within the cover letter, applicants should identify a specific research mentor in AMS with whom they wish to be paired. Three letters of recommendation (with at least one addressing teaching) should also be submitted on behalf of the applicant. Review of applications will begin on January 2, 2026, and applications will be accepted until the positions are filled. Questions and requests for further information about can be emailed to Prof. Stephen Pankavich (pankavic@mines.edu). Contact Dorie Gelber, Human Resources, at dorie.gelber@mines.edu with any questions about this opportunity. Background Investigation Required Prior to Start Accommodations - It is the intent of Mines to comply with the applicable requirements of the Americans with Disabilities Act and the Americans with Disabilities Act Amendments Act of 2008, and their implementation rules and regulations, in support of equal opportunities for qualified applicants with disabilities to promote diversity and inclusion at Mines. To meet this goal, Mines will make reasonable accommodations during the employment selection process and within our working environment. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on our site as a result of your disability. You can request a reasonable accommodation by contacting our Human Resources team at hr@mines.edu or 303.273.3250 for assistance. Colorado's premier engineering and applied science university for 150 years and counting

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid 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. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid 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. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Purpose: The Clinical Project Statistician develops or assists in the development of protocol designs, clinical plans, and data analysis plans in collaboration with physicians, clinical research scientists, and other research colleagues. The Clinical Project Statistician is responsible for working with research associates and scientists to establish a reporting database and for analyzing data for clinical studies. Primary Responsibilities: The job tasks listed below outline the scope of the position. The application of these tasks may vary, based upon current business needs. Statistical Trial Design and Analysis Provide input on study protocol, design studies and write protocols for the conduct of each study. Be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created. Collaborate with data sciences in the planning and implementation of data quality assurance plans. Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected. Perform peer-review of work products from other statistical colleagues. Influence team members regarding appropriate research methods Communication of Results and Inferences Collaborate with team members to write reports and communicate results. Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings. Respond to regulatory queries and interact with regulators. Therapeutic Area Knowledge Understand disease states, competitive landscapes, and regulatory environment in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor. Regulatory Compliance Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, Medical, local, and departmental policies, procedures, processes, and training. Statistical leadership and Teamwork Introduce and apply innovative methodology and tools to solve critical problems. Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions. Lead projects independently and work effectively across functions. Apply technical expertise to influence business decisions. Minimum Qualification Requirements: Ph.D. in Statistics OR Biostatistics with at least 3 years of experience in Clinical Research and Development Other Information/Additional Preferences: Proficient in statistical programming languages/software such as SAS, R, Spotfire, WinBUGs, etc Interpersonal communication skills for effective customer consultation Teamwork and leadership skills Technical expertise and application with working knowledge of experimental design and statistical analysis Self-management skills with a focus on results for timely and accurate completion of competing deliverables Resource management skills Creativity and innovation Demonstrated problem solving ability and critical thinking Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $142,500 - $228,800 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Loyola Marymount University's Frank R. Seaver College of Science and Engineering is collecting resumes of potential applicants for future Part-Time faculty positions in the Department of Mathematics, Statistics and Data Science. There may not be openings at this time, but your application will be kept on file. Current applications will be reviewed as openings occur. The position, when needed, is assumed to be a one-semester appointment, normally to teach 1-2 courses. The Department of Mathematics, Statistics and Data Science serves approximately 75 majors and 50 minors across programs in Mathematics, Applied Mathematics and Statistics and Data Science. In addition, we teach many courses required by other majors across the university. Lecturers are typically hired to teach courses such as Algebra, Precalculus and Calculus; other courses may be available depending upon qualifications and experience. Additional information about the department, curriculum, courses, and faculty/staff is available online at https://cse.lmu.edu/department/math/ . Job Responsibilities The following is a non-exhaustive list of instructor job responsibilities: prepare and distribute a course syllabus; prepare and lead class sessions; hold regular office hours and answer student questions; develop, distribute, and/or grade discussion materials, homework, quizzes, and other course materials; write, proctor, and grade midterm and final examinations; maintain and timely submit class records, such as attendance and grade reports; attend meetings and training, as needed; and comply with all university standards and requirements. Minimum Qualifications Prior teaching experience is preferable. Must have the ability to use browser-based software services, and standard classroom and office equipment. Position requires excellent oral and written communication and interpersonal skills. Must possess ability to, and genuine interest in, meeting the educational needs of students, and sensitivity to, and understanding of, the diverse academic, socioeconomic, and cultural/ethnic backgrounds of the students. Required Education A master's or doctorate level degree. Special Instructions Apply online at https://jobs.lmu.edu . A completed application consists of: A current CV/resume Cover Letter Statement of Teaching References - 3 references required Minimum salary is $2,517 per unit taught. Faculty Regular Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

Job Title: Biomarker Statistics -Summer 2026 Intern Location: Cambridge, MA About the Job Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. Join our Biomarker Statistics team for a 12-week internship focused on innovative statistical approaches in drug development and biomarker analysis. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Support statistical analysis of biomarker data from clinical trials Develop and implement statistical methods for multi-omics data integration Assist in creating visualization tools for complex biological datasets Collaborate with cross-functional teams on biomarker-driven projects Learning Opportunities: Hands-on experience in pharmaceutical research Exposure to cutting-edge biomarker analytics Mentorship from experienced statisticians Real-world drug development projects About You Basic Qualifications: Currently enrolled and pursuing a PhD (3+ years) in Biostatistics, Statistics, Computer Science, Bioinformatics, Computational Biology or related field at an accredited college or university. Must be enrolled in school the semester following your internship/co-op with Sanofi Experience with programming in R or Python Knowledge of statistical methods and experimental design Understanding of molecular biology concepts Must be able to relocate to the office location and work 40hrs/week, Monday-Friday, for the full duration of the co-op/internship Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship Preferred Qualifications: Experience with omics data analysis Familiarity with machine learning approaches Knowledge of clinical trial design Strong communication and presentation abilities Why Choose Us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Exposure to cutting-edge technologies and research methodologies. Networking opportunities within Sanofi and the broader biotech community. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SA #LI-Onsite #vhd Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Department Mathematics & Statistics By applying to this posting, you are entering an applicant pool for affiliate faculty. Screening of applicants will take place when positions come available. The number of these temporary, part-time, non-tenure track academic positions varies from semester to semester, depending on the needs of the program. As such, not everyone in the applicant pool for this position will be contacted and/or selected to teach. About the University Established in 1965, Metropolitan State University (MSU Denver) was founded to serve students who were underrepresented in higher education whose life paths and experiences did not fit the traditional mold. Sixty years later, the University continues to serve over 16,000 of Colorado's extraordinary and diverse students, providing them with the foundation on which to build their unique aspirations. As the third largest public institution of higher education in Colorado, MSU Denver is a model university for today's college students. Proud of its federal designation as a Hispanic-Serving Institution that also offers graduate programs (gHSI) and the only Seal of Excelencia certified institution in Colorado, the University serves the most diverse undergraduate student population in the state, as well as the most first-generation students. Through affordable, flexible, and holistic education, MSU Denver helps students build essential skills grounded in a multicultural and global perspective that lead to undergraduate and graduate degrees, and career and life success. Position Summary The Department of Mathematics and Statistics at Metropolitan State University of Denver (MSU Denver) invites applications for part-time affiliate faculty teaching positions. The Mathematics and Statistics affiliate instructor will conduct 1-9 hours of General Studies mathematics courses and/or small group learning sessions that accompany General Studies mathematics courses. They will work and interact with diverse groups of students and/or coordinate with faculty teaching lecture sections aligned with learning sessions. For more information about the Department of Mathematics and Statistics in our College of Letters, Arts, and Sciences, please visit: https://www.msudenver.edu/math . Responsibilities Conduct 1 - 9 hours of in-person or hybrid General Studies mathematics courses and/or in-person small group learning sessions that accompany General Studies mathematics courses. Candidates will work and interact with diverse groups of students and/or coordinate with faculty teaching lecture sections aligned with learning sessions. An affiliate faculty member's duties may include but are not limited to: teaching assigned classes in person or online by delivering course content to students, preparing course materials and lesson plans, grading student work, providing students with robust feedback in a timely manner, addressing student questions consistent with university, college/school, and department policies, and providing online or in person academic support to students as needed and appropriate for the teaching assignment; providing instruction in assigned classes consistent with the content and learning objectives of the regular course syllabus and, if required, with department course coordination policies; and complying with university-wide student evaluation of instruction policies and peer observation policies. The ability to adapt and learn new modes of instruction is highly encouraged. Candidates need to be sensitive to the educational needs of a diverse student population. Required Qualifications Bachelor's degree in mathematics, statistics, mathematics education, or closely related field Preferred Qualifications Master's degree in mathematics, statistics, mathematics education, or closely related field and proficiency in teaching with technology, e.g., calculators and computer software Terms of Employment Affiliate faculty are part-time, at-will employees hired to teach on a per credit hour basis for specific classes, usually on a semester-by-semester basis. Affiliate faculty are not eligible for benefit coverage under the University's benefit program. All such teaching assignments are dependent on budget and enrollment. Qualified candidates will be expected to teach in person/on campus upon hire. Salary for Announcement The final salary is based on the number of credit hours assigned at a rate determined by university policy. For more information, please view pay rates under the College of Aerospace, Computing, Engineering, and Design: Affiliate-Rates-AY-25-26 How to Apply Candidates must apply online through MSU Denver's career site, https://www.msudenver.edu/careers . Complete applications will include the following required materials: Resume or CV Cover letter Applicants will notice on the application portal there is one location (the resume/cover letter submission field) to upload all required materials. Multiple documents can be submitted into this one field; alternatively, merge all documents into one PDF and upload. Once submitted, you will not be able to edit your application. Please submit questions to Jess Bertram, Affiliate Faculty Coordinator at jbertra3@msudenver.edu. Official transcripts will be required of the candidate selected for hire. Closing Date Open Until Filled Posting Representative Shayna D Tillmon Posting Representative Email stillmon@msudenver.edu Benefits The University's benefits package is comprehensive and offers medical, vision and dental, free RTD pass, tuition reimbursement, as well as a life and supplemental insurance plans, retirement plans and other programs, such as access to a long-term disability (LTD) plan. Visit MSU Denver's benefits website to learn more. For a brief overview, please see: https://www.msudenver.edu/wp-content/uploads/2024/01/MSU-Benefit-Summary.pdf . The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at totalrewards@msudenver.edu. Background Checks Metropolitan State University of Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To Assist in achieving that goal, we conduct background checks on all finalists for positions at the University prior to employment. Diversity Statement Metropolitan State University of Denver is a unique, access-oriented campus community that values diversity, equity, and inclusion in all its forms. Our student population consists of nearly 58% first generation students and over 50% students of color. We are a designated Hispanic Serving Institution located in downtown Denver. We create an equitable learning and working environment in concert with individuals who consistently demonstrate commitment to equity and inclusion. We greatly value the diverse identities and perspectives of our students, faculty, and staff and recognize that in order to achieve a just and equitable society, diversity must go beyond simple representation. It requires critical inquiry and dialogue and a commitment to action. We strive to provide a culture of belonging for all community members to achieve personal and professional success.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid 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. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

The VHA Survey of Veteran Enrollees’ Health and Utilization of Health Care (Survey of Enrollees) began in 1999 as a key input for the Enrollee Health Care Projection Model. It is an annual survey that gathers information from enrolled Veterans regarding their perceived health status, experiences with health services, current and anticipated future health care usage, insurance coverage, access to telehealth, and demographic characteristics. Participation remains voluntary. The data collected has supported projections of future health care utilization and informed VHA leadership in planning for the evolved needs of the Veteran population. This information is being collected in accordance with section 3507 of the Paperwork Reduction Act of 1995. We are seeking a Subject Matter Expert in Statistics to help with this potential upcoming project. Key Duties and Responsibilities Survey Design & Development Design, develop, and test surveys, questionnaires, and data collection instruments. Determine sampling methods, sample sizes, and appropriate survey methodologies. Evaluate survey reliability, validity, and response quality. Data Collection & Management Oversee data collection processes and ensure adherence to statistical standards. Clean, validate, and prepare datasets for analysis. Integrate data from multiple internal and external sources. Statistical Analysis & Modeling Apply statistical techniques such as regression, hypothesis testing, time-series analysis, and multivariate analysis. Build predictive models and algorithms to uncover trends, patterns, and relationships in data. Select and justify appropriate analytical methodologies. Reporting & Communication Interpret statistical results and translate them into clear, actionable insights. Prepare technical reports, dashboards, visualizations, and presentations. Communicate findings clearly to both technical and non-technical stakeholders. Quality Assurance & Methodological Support Conduct data validation, error-checking, and sensitivity analyses. Evaluate model performance and ensure statistical accuracy. Provide methodological advice during project planning and evaluation. Requirements PhD in Statistics, Statistical Analysis or closely related field 8 years of relevant experience Ability to obtain a Public Trust clearance Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Training & Development

If you are a current University of Tampa student, please search for and apply to student jobs here via Workday. Job applications for current students will not be considered if submitted through the external career center. Position Details The Department of Information & Technology Management in the Sykes College of Business at The University of Tampa is seeking applications for part-time instructors to teach undergraduate courses in Managerial (Business) Statistics. This course provides students an overview of basic statistics including descriptive statistics, basic probability concepts, probability distributions, inferential statistics, one and two sample hypothesis testing, simple linear regression, multiple regression, basic time series concepts, and statistical process control. Responsibilities will include: 1. Teach one or more 4-hour course sections per semester. 2. Modify existing course syllabus with input from the department course coordinator. 3. Provide meeting time for students. 4. Manage online course system (Blackboard) to supplement classroom instructor. The successful candidate will have: 1. A minimum of a Master's Degree and at least 18 credit hours in statistics, mathematics or a related field. 2. Professional experience with statistical analysis in organizational or academic environments plus previous teaching experience is highly preferred. 3. Experience with Microsoft Office Excel and its related statistical capabilities preferred. 4. Demonstrated continuous self-improvement by actively pursuing discipline-related continuing education, professional development, or active participation with professional or academic organizations. Required Attachments Please be sure to attach all required documents listed below in the attachment box at the bottom of the "My Experience" page of the application before continuing through the application. Cover Letter Curriculum Vitae Additional Information Applications for part-time positions are accepted on a continuous basis and reviewed by the department when openings become available. Future teaching assignments are on a term-by-term basis which may include fall, spring and summer. The University of Tampa is an equal opportunity/affirmative action employer dedicated to excellence through diversity and does not discriminate on the basis of age, race, sex, disability, sexual orientation, national origin, religion, marital status, gender identity, veteran status or any other non-job related criteria. The University of Tampa recognizes the importance of a multicultural community of students, faculty, and staff who seek to advance our commitment to diversity. The University invites applications from underrepresented groups and those who have academic experiences with diverse populations. Submission Guidelines To receive full consideration for a faculty appointment with The University of Tampa, please be sure to upload documents as required for this position at time of application submission. Once your application has been submitted, no changes may be made. Required documents should be submitted in the attachment box at the bottom of the "My Experience" page of the application before continuing through the application. Note: A maximum of five (5) documents may be attached to your application. If more than five (5) documents are required, please combine the additional documents into a single attachment so that you may continue through the application process. Background Check Requirements Finalists may be required to submit to a criminal background check.

Job Title: Adjunct Faculty - StatisticsLocation: IndianapolisJob Type: Part-timeClassification: Adjunct facultySalary Range: $48.67 Per Contact HourReports To: Department/Program Chair*All Applications must include a Cover Letter and an Unofficial TranscriptWho We Are:We are an open-access college that fuels Indiana’s economy through excellence in teaching and proactive engagement with industry and community partners, embedded in a culture of innovation that empowers all students to learn and succeed. We are “higher education at the speed of life!”Our Values: * Empathy: We stand with our students, partners, and communities. * Integrity: We treat all with dignity and respect. * Accountability: We deliver on our commitments. * Agility: We innovate, iterate, and transform. * Connectivity: We connect with partners to strengthen communities and ensure student success for all. About the Role: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: Facilitate student learning by delivering assigned classes in accordance with College policy and course objectives. Make optimal use of available technology to enhance instructional methods. Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate student records, grades, and other requirements. Engage with students proactively and regularly in meaningful and productive ways that impact student learning and lead to a positive experience with Ivy Tech Community College. Demonstrate evidence of developing and implementing teaching strategies focused on engaging online students with their learning. Interact with students and co-workers in a professional and cooperative manner, complying with College policies, guidelines and expectations. Maintain a safe, quality online educational environment. Must demonstrate the ability to promote an environment that reflects the broad backgrounds represented by our students and employees in which every individual feels respected and valued. 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. EDUCATION AND EXPERIENCE: A qualified faculty member meets the education component of the School of Business discipline standard through one of three routes: Possesses any specialized certifications or credentials required for the class being taught as indicated in the Curriculum of Record (COR) And, 5 years directly related work experience in the field that is specifically linked to the competencies listed in the Curriculum of Record (COR); or Possesses a current Workplace Specialist License granted by the Indiana Department of Education appropriate to course objectives and directly linked to credentials, certifications, and competencies listed in the Curriculum of Record (COR) And, possesses any specialized certifications required for the class being taught as indicated in the Curriculum of Record (COR) Must demonstrate ability to promote an environment that reflects the broad backgrounds represented by our students and employees and which every individual feels respected and valued. *All Applications must include a Cover Letter and an Unofficial Transcript 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.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English. At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Statistics, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Requirements Bachelor’s Degree in Statistics, Biostatistics, Econometrics, or a closely related quantitative field. At least 2+ years of relevant professional experience in statistics or statistical modeling. Level of English is advanced (C1) or above. Strong expertise in statistical modeling and data analysis , including descriptive and inferential statistics, regression analysis, experimental design, and statistical learning methods . Ability to design high-quality, diverse statistical problems and evaluation tasks , going beyond basic parameter changes and requiring conceptual understanding, rigorous reasoning, and correct statistical interpretation . Experience working with complex or ambiguous statistical guidelines , with the ability to interpret requirements accurately and apply consistent judgment. Willingness to learn new statistical methods , switch efficiently between topics, and handle intellectually challenging tasks. This is a fully remote freelance role — you only need a laptop, a stable internet connection, sufficient availability, and motivation to take on challenging statistical work. Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $73/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English. At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Statistics, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. Effort estimate Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. Requirements Bachelor’s Degree in Statistics, Biostatistics, Econometrics, or a closely related quantitative field. At least 2+ years of relevant professional experience in statistics or statistical modeling. Level of English is advanced (C1) or above. Strong expertise in statistical modeling and data analysis , including descriptive and inferential statistics, regression analysis, experimental design, and statistical learning methods . Ability to design high-quality, diverse statistical problems and evaluation tasks , going beyond basic parameter changes and requiring conceptual understanding, rigorous reasoning, and correct statistical interpretation . Experience working with complex or ambiguous statistical guidelines , with the ability to interpret requirements accurately and apply consistent judgment. Willingness to learn new statistical methods , switch efficiently between topics, and handle intellectually challenging tasks. This is a fully remote freelance role — you only need a laptop, a stable internet connection, sufficient availability, and motivation to take on challenging statistical work. Benefits Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $73/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Adjunct Faculty Mathematics & Statistics Department of Applied Sciences and Professional Studies UMGC Stateside Location: Minot Air Force Base, North Dakota University of Maryland Global Campus (UMGC) seeks adjunct faculty to teach on-site at Minot Air Force Base, North Dakota,for the Mathematics program. Specifically, we are seeking faculty for the following course(s): Topics for Mathematical Literacy (MATH 105): An investigation of contemporary topics in mathematics. The aim is to apply mathematical processes to solve problems involving exponential and logarithmic modeling, personal finance, probability, basic logical thinking, and statistical reasoning. College Algebra (MATH 107): An introduction to equations and inequalities and a study of functions and their properties, including the development of graphing skills with polynomial, rational, exponential, and logarithmic functions. The objective is to apply appropriate technology and demonstrate fluency in the language of algebra; communicate mathematical ideas; perform operations on real numbers, complex numbers, and functions; solve equations and inequalities; analyze and graph circles and functions; and use mathematical modeling to translate, solve, and interpret applied problems. Introduction to Statistics (STAT 200): The objective is to assess the validity of statistical conclusions; organize, summarize, interpret, and present data using graphical and tabular representations; and apply principles of inferential statistics. Focus is on selecting and applying appropriate statistical tests and determining reasonable inferences and predictions from a set of data. Topics include methods of sampling; percentiles; concepts of probability; probability distributions; normal, t-, and chi-square distributions; confidence intervals; hypothesis testing of one and two means; proportions; binomial experiments; sample size calculations; correlation; regression; and analysis of variance (ANOVA) Required Education and Experience: Master’s degree in Mathematics, Statistics, or a related field from an accredited institution of higher learning. Professional experience in Mathematics, Statistics, or related field. Experience teaching adult learners online and in higher education is strongly preferred. This position is specifically to teach on-site at Minot Air Force Base, North Dakota . Preferred Education and Experience: Terminal Degree in Mathematics, Statistics, or a related field from an accredited institution of higher learning. Materials needed for submission Resume/Curriculum Vitae Cover letter highly preferred If selected, candidates with international degrees may be required to submit a translation/degree evaluation from a NACES approved vendor. Who We Are and Who We Serve UMGC—one of 12 degree-granting institutions in the University System of Maryland (USM)—is a mission-driven institution with seven core values that guide us in all we do. At the top of the list is "Students First,” and we strive to do just that for our 90,000 students at home and abroad. From its start in 1947, UMGC has demonstrated its commitment to adult learners. We recognize that adult students need flexibility and options. UMGC is proud to be a global, 24-hour, institution of higher learning. The typical UMGC student is an adult learner juggling a career, family, and other priorities. Roughly 80% work full time, half are parents, and half are minority students. They are continuing their education to better themselves, their families, and their professional opportunities. UMGC is also a leading higher education provider to the U.S. military, enrolling 55,000 active-duty service members, reservists, National Guard members, veterans, and family members annually. We are proud of our military heritage and are committed to this service. The Adjunct Faculty Role at UMGC UMGC is committed to helping students achieve success not only with us, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners: professionals who are actively and successfully engaged in their field who additionally wish to help the next generation of professionals grow in their knowledge and expertise through education. Your role as an adjunct faculty member will be to: Actively engage students through frequent interaction that motivates them to succeed, and conveys a genuine energy and enthusiasm for their learning. Guide students in active collaboration and the application of their learning in problem- and project-based learning demonstrations. Provide rich and regular constructive feedback, utilizing rubrics effectively for the assessment of student work, and acknowledging student accomplishments. Demonstrate relevant and current subject-matter expertise, and help students connect concepts across their academic program. Provide feedback to your program chair on possible curricular improvements. The Mathematics & Statistics Program at UMGC Please visit the following link to learn more about this program, including its description, outcomes, and coursework: https://www.umgc.edu/academic-programs/course-information.cfm?course=STAT Faculty Training at UMGC We are committed to your professional success at UMGC. Each new faculty member is required to successfully complete our online two-week new faculty orientation, FacDev 411, as a condition of hire. Position Available and will Remain Open until Filled Salary Commensurate with Experience All submissions should include a cover letter and resume . The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions. Workplace Accommodations: The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu . Benefits Package Highlights: Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date. NOTE: Adjuncts are not eligible for the State of Maryland subsidized rates. Adjuncts would be responsible for the total cost if enrolled. Insurance Options: Term Life Insurance and Accidental Death and Dismemberment Insurance. Supplemental Retirement Plans : include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds. For additional information please see: SS Adjunct Faculty_2020.pdf (umgc.edu) Hiring Range by Rank and Degree: Instructor: No Terminal Degree: Step 1 $806 - Step 11 $1,050 per credit hour Assistant Adjunct Professor: No Terminal Degree Step 1 $877 - Step 11 $1,127 per credit hour Assistant Adjunct Professor: Terminal Degree Step 1 $1,023 - Step 11 $1,288 per credit hour Associate Adjunct Professor: No Terminal Degree Step 1 $947 - Step 11 $1,205 per credit hour Associate Adjunct Professor: Terminal Degree Step 1 $1,202 - Step 11 $1,483 per credit hour Adjunct Professor: No Terminal Degree Step 1 $1,023 - Step 11 $1,288 per credit hour Adjunct Professor: Terminal Degree Step 1 $1,347 - Step 11 $1,645 per credit hour

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid 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. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America Job Description: Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people. Johnson & Johnson is the world's most comprehensive and broadly-based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. Johnson & Johnson employs over 125,000 people with products touching the lives of over a billion people every day, throughout the world. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer. J&J Innovative Medicine Research & Development, L.L.C, a member of Johnson & Johnson's Family of Companies, is recruiting for Statistics & Decision Sciences Summer Interns for our Raritan, NJ, Titusville, NJ, Spring House, PA, and La Jolla, California locations. Virtual internships are potentially available. For Statistics & Decision Sciences (SDS), summer internships are available for undergraduate and graduate students working towards a degree in Statistics, Biostatistics, or a related Quantitative discipline. There are up to 10 positions available. Students will have the opportunity to work with practicing statisticians and computing science specialists and to learn about practical, applied statistical needs and solutions specific to clinical or nonclinical pharmaceutical industry settings. Our teams benefit from the student's academic training and in turn contribute to the further professional development of the student as well as have a first-hand opportunity to evaluate the student's potential for future employment. In this role, students will be involved in activities such as: Supporting Research and Development in areas that range from Drug Discovery through Phase 2 and 3 clinical studies and concurrently, Pharmaceutical Manufacturing, including: Data preparation, graphical exploration of data, statistical model building and analyses, report writing, and writing of computer programs or software applications associated with the statistical analyses. Other activities may include designing experiments, conducting simulations to evaluate optimal designs, and participation in methodological development. Qualifications Candidates must be enrolled in an accredited college/university pursuing (not necessarily taking classes) and pursuing the following degrees: Biostatistics, Statistics, or a related Quantitative discipline. Candidates must be available to work 10-12 weeks from May - August and have the ability to work full-time during that time. Candidates must be legally authorized to work in the United States, as Permanent Residents or United States Citizens, and not require sponsorship for employment visa status (e.g. H1-B status) now or in the future. Demonstrated leadership is preferred. Proficiency in R is preferred. Candidates must be detail-oriented, highly organized and able to manage multiple tasks. Candidates must have the ability to work individually (independently) as well as on a team. A minimum G.P.A. of 3.0 is strongly preferred. Participation in campus/community service activities is desired. Notes: Remote work options may be available. Reimbursements for travel and housing would be available. Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers . internal employees contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: