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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: $45,500 - $57,000 - $68,500 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 1997-2025, 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.

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide. Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma. Legend Biotech is seeking Global Applied Statistics & Analytics Expert as part of the Global MSAT team based Remotely. Role Overview This position is a technical role in the global MSAT (GMSAT) organization. This individual will be part of the statistics and data science team in GMSAT that is responsible for all applied statistics and analytics scope in support of the approved Carvykti commercial process. At a technical level, the candidate will be required to support the broader Statistics group, develop statistical analyses to solve complex, inter-dependent, multi-variate/factor technical problems and execute statistical models to correlate various process parameters. This effort is business critical to ensure that ongoing manufacturing processes are in a state of control and, additionally, adhere to guidelines established for CPV. In this role, it is expected to work closely with the site to gather data and report globally for all manufacturing nodes. Strong collaboration and partnership both internally and externally is required. Key Responsibilities Develop and execute global statistical analyses Represent GMSAT at joint statistical and analytical committee forums Partner closely with global manufacturing sites to solve complex, inter-dependent, multi-variate/factor technical problems and establish statistical models to correlate all process parameters Provide statistical and analytics guidance for an expanding global manufacturing network for best-in-class CAR-T product Provides applicable cell biology or cell therapy related statistics expertise as dedicated support to cell therapy SMEs and the vector programs Provides advanced statistical analyses and development of simulation models (ie. predictive of risks to study failure) Expertise and development of industry leading advanced statistical methods/tools, Machine Learning and AI tools Works closely with the site to gather data and reporting requirements and aligns tools/models/reporting Works in collaboration with Validation function to established global tiered data governance business processes to align across manufacturing nodes Employs industry leading methodologies and standard approaches specific to cell therapy products (ie. modified Nelson/Shewart rules, Equivalence vs. Expectation approaches for comparability) Drives justification and alignment with key partners (ie. JnJ) Requirements B.S. required, in technical discipline: statistics, engineering, science, or related field. Minimum 5 years of in a data analytics role employing statistical analyses, data science, machine learning, predictive modeling methods industrial biologics CMC development or manufacturing experience, CAR-T experience is highly desirable. experience in cell therapy commercial cGMP program with end-to-end know-how to manage process platform changes/improvements in a global manufacturing network and change management process. Candidate must have extensive experience in Cell Therapy tech transfer and/or MSAT. Experience in cross functional teams as a technical statistics and analytics representative Extensive experience employing statistical and analytical methods to solve complex issues Experience in driving consistent statistical approaches and defending them to regulatory authorities is desirable Experience in collaborating with internal technical SMEs to develop pragmatic solutions and deliverables around validation and comparability Industry leading knowledge in technology transfer, process comparability, CMC regulatory guidelines and manufacturing in cell therapy Ability to think critically and demonstrated troubleshooting and problem-solving skills. Results driven with strong analytical, problem solving and critical thinking skills. Strong experience working in a cross-functional organization with multiple partners with competing priorities. Ability to plan, multitask, prioritize and be an effective and influential decision maker focused on action and implementation. #Li-BZ1 #Li-Remote The anticipated base pay range is: $123,605-$154,000 USD Benefits: We are committed to creating a workplace where employees can thrive - both professionally and personally. To attract and retain top talent in a highly competitive industry, we offer a best-in-class benefits package that supports well-being, financial stability, and long-term career growth. Our offerings are designed to meet the diverse needs of our team members and their families, ensuring they feel valued and supported every step of the way. Highlights include medical, dental, and vision insurance as well as a 401(k)-retirement plan with company match that vest fully on day one. Equity and stock options are available to employees in eligible roles, we offer eight weeks of paid parental leave after just three months of employment, and a paid time off policy that includes 15 vacation days, 5 personal days, 5 sick days, 11 U.S. national holidays, and 3 floating holidays. Additional benefits include flexible spending and health savings accounts, life and AD&D insurance, short- and long-term disability coverage, legal assistance, and supplemental plans such as pet, critical illness, accident, and hospital indemnity insurance. We also provide commuter benefits, family planning and care resources, well-being initiatives, and peer-to-peer recognition programs - demonstrating our ongoing commitment to building a culture where our people feel empowered, supported, and inspired to do their best work. EEO Statement Legend Biotech is a proud equal opportunity/affirmative action employer committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is Legend's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by applicable law. Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company. Legend may adjust base salary or other discretionary compensation at any time based on individual, team, performance, or market conditions. Legend Biotech maintains a drug-free workplace.

To participate in a remote work arrangement, employees must reside in the United States. No remote work arrangement will be considered for working from outside the United States. If you are a current employee, faculty or adjunct instructor at Herzing University (not a Contractor or temporary employee through a staffing agency), please click here to log in to UKG and then navigate to Menu > Myself > My Company > View Opportunities to apply using the internal application process. Requirements: Master's degree in Statistics, Mathematics, Quantitative Methods, or a closely related field from a regionally accredited institution. Doctorate preferred College or university teaching experience. Preferred: Familiarity with online and hybrid teaching platforms (e.g., Canvas, Blackboard, or similar learning management systems). Relevant industry experience (e.g., banking, investments, corporate finance, consulting) to bridge theory and practice in the classroom. Unofficial transcripts will be requested during the application process. Please also note that official transcripts are required if an offer of employment is made. Compensation for this position is $900 per credit. Adjunct Faculty are eligible to participate in the Herzing 401(k) plan with a generous company match and our excellent education assistance programs! Click Here or use the following link to learn more about careers at Herzing University: https://www.youtube.com/watch?v=DPDCRvjmzHM&t=3s Primary Responsibilities: The position's responsibilities fall into eight basic areas. Subject Matter Expertise Effective Communication Pedagogical Mastery Operational Excellence Appreciation and Promotion of Diversity Assessment of Student Learning Utilization of Technology to Enhance Teaching and Learning Continuous Improvement Key Skills and Competencies: Digital Literacy: Proficiency with online teaching platforms and digital tools. Communication: Ability to convey complex ideas simply and effectively in a virtual setting. Engagement: Skill in fostering interactive and engaging online learning environments. Adaptability: Capacity to adjust teaching strategies based on student feedback and evolving tech tools. Time Management: Effective planning, organizing, and prioritizing tasks in a remote teaching setting. Feedback: Ability to provide constructive feedback to enhance student learning. Cultural Awareness: Sensitivity and adaptability to diverse student backgrounds and needs. These competencies, as identified by the University's academic community, encompass the knowledge, skills, and behaviors essential to a faculty member's success in the classroom and provide the basis for the faculty hiring, evaluation and development process. Herzing University is committed to providing a diverse environment and is dedicated to fostering a culture and atmosphere of mutual respect. It provides an inclusive and collegial community where individuals are valued, heard and empowered to contribute to the effectiveness of the institution. Applicants must be authorized to work for any employer in the U.S. We do not sponsor or take over sponsorship of an employment Visa at this time. It is the university's practice to recruit and hire without discrimination because of skin color, gender, religion, LGBTQi2+ status, disability status, age, country of birth, veteran status, or any other status protected by law. https://www.herzing.edu/about/diversity Herzing University prohibits sex-based discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. The notice of nondiscrimination is located at https://www.herzing.edu/title-ix

Located in Boston's historic Fenway area, Simmons has a strong tradition of empowering women and challenging traditional gender roles. Simmons University was one of the first higher education institutions to prepare women to become leaders and has evolved to become a university offering a women's undergraduate program and graduate programs open to all. You're joining our community at an especially exciting time as one of our strategic goals is to become the most inclusive campus in New England. You'll find that people who work here are truly committed to our mission of preparing students to become champions of social justice and leaders in their professions and their communities. This commitment and pride make for a dynamic workplace. Simmons University is committed to inclusive excellence in all aspects of an individual's community experience. As a university committed to diversity, equity, and inclusion, Simmons encourages applications from all under-represented groups. Simmons is committed to creating, developing, promoting, and enhancing inclusive hiring practices-at all levels, for all positions-ensuring diverse talent pools and the delivery of a consistent positive candidate experience. Simmons is an equal opportunity employer and is committed to continuing to develop a more diverse faculty, staff, student body, and curriculum. Job Summary The Mathematics and Statistics Program seeks qualified individuals to join our adjunct hiring pool to express their interest in future, part-time teaching assignments at Simmons University. Typical courses include introductory math courses for majors and non-majors, Introduction to Statistics, as well as more advanced classes in Statistics and Data Science. Classes are traditionally held in Fall and Spring semesters, not during summer. Total class contact time will be 3 hours for the lecture. Adjuncts are also expected to hold office hours during the week for at least 2 hours (for example, half an hour before and after each class, if the class meets twice a week). Requirements: Master's degree required; Ph.D. preferred. Teaching experience is preferred, at either the college or high school level. Additional Information: Applications will be accepted continuously into the pool and will be drawn upon to fill vacancies as they become available. Candidates are encouraged to offer updates of their CVs and contact information, as necessary. Application Instructions: Interested candidates should submit a letter of application, CV, statement of teaching philosophy (optional), and contact information for at least two professional references. Please upload all documents to the Resume/CV section on the 'My Experience' page of your application. Please contact Amber Stubbs (stubbs@simmons.edu) if you have any questions. Instructions to Applicants: Please upload all applicable application materials (e.g. resume/cv, cover letter, writing sample, teaching philosophy, etc.) in the Application Materials box on page 2 ("My Experience") of this application. Documents can be uploaded individually or as a combined document (e.g. PDF). Simmons University is committed to inclusive excellence in all aspects of an individual's community experience. As a university committed to diversity, equity, and inclusion, Simmons encourages applications from all under-represented groups. Simmons is committed to creating, developing, promoting, and enhancing inclusive hiring practices-at all levels, for all positions-ensuring diverse talent pools and the delivery of a consistent positive candidate experience. Simmons is an equal opportunity employer and is committed to continuing to develop a more diverse faculty, staff, student body, and curriculum.

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: $45,500 - $57,000 - $68,500 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 1997-2025, 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.

Grow what’s next. Grow your future. Are you excited to contribute to innovative research to enhance food security and drive sustainability? Join us at Corteva Agriscience for an exciting and impactful 6-month internship designed to give broad based exposure to the day-to-day activities of a team that works at the intersection of world class statistics, computer science and seed product design to bring the power of accelerated genetic gain to our customers. Corteva Agriscience is a global leader of seed, crop protection, and digital solutions in agriculture. This position will reside within the Seed Product Development Biostatistics & Scientific Computing team. This team discovers, adapts, and develops state of the art statistical methodology and computational algorithms that help convert into actionable insights real-time, high-volume data streams, to inform optimized Seed Product Design. Responsibilities – What You’ll Do: Develop and deploy state-of-the-art experimental designs and phenotypic analysis methodologies to improve genetic gain in Corteva’s breeding programs Collaborate with plant breeders in multiple crops and geographies spanning the globe to understand biological questions and develop statistical solutions to complex questions Manage your own research project with the expectation of a verbal report to the larger intern group found throughout the United States Gain excellent experience that can be applied to full time positions in the industry, or in preparation for additional graduate level training in the plant sciences Qualifications Qualifications – What You’ll Bring: Current enrollment at an accredited university at the time of internship The ability to relocate to the Corteva Seed Hub global headquarters in Johnston Iowa for the duration of the internship An accomplished academic record through the later stages of graduate studies at an accredited university A solid foundation in mathematics and statistics, including areas such as linear mixed, and spatio-temporal models A strong interest in applying statistical methods to commercial agriculture Knowledge of ASReml, R, or related scientific computing languages, the ability and confidence to manage and manipulate large data sets, and the willingness to develop, test, and deploy internal analysis software Strong oral and written communication skills, including the ability to communicate effectively with individuals of diverse language, cultural, and scientific backgrounds Creative thinking and the flexibility to work independently and in a team environment Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

To participate in a remote work arrangement, employees must reside in the United States. No remote work arrangement will be considered for working from outside the United States. If you are a current employee, faculty or adjunct instructor at Herzing University (not a Contractor or temporary employee through a staffing agency), please click here to log in to UKG and then navigate to Menu > Myself > My Company > View Opportunities to apply using the internal application process. Requirements: Master's degree in Statistics, Mathematics, Quantitative Methods, or a closely related field from a regionally accredited institution. Doctorate preferred College or university teaching experience. Preferred: Familiarity with online and hybrid teaching platforms (e.g., Canvas, Blackboard, or similar learning management systems). Relevant industry experience (e.g., banking, investments, corporate finance, consulting) to bridge theory and practice in the classroom. Unofficial transcripts will be requested during the application process. Please also note that official transcripts are required if an offer of employment is made. Compensation for this position is $900 per credit. Adjunct Faculty are eligible to participate in the Herzing 401(k) plan with a generous company match and our excellent education assistance programs! Click Here or use the following link to learn more about careers at Herzing University: https://www.youtube.com/watch?v=DPDCRvjmzHM&t=3s Primary Responsibilities: The position's responsibilities fall into eight basic areas. Subject Matter Expertise Effective Communication Pedagogical Mastery Operational Excellence Appreciation and Promotion of Diversity Assessment of Student Learning Utilization of Technology to Enhance Teaching and Learning Continuous Improvement Key Skills and Competencies: Digital Literacy: Proficiency with online teaching platforms and digital tools. Communication: Ability to convey complex ideas simply and effectively in a virtual setting. Engagement: Skill in fostering interactive and engaging online learning environments. Adaptability: Capacity to adjust teaching strategies based on student feedback and evolving tech tools. Time Management: Effective planning, organizing, and prioritizing tasks in a remote teaching setting. Feedback: Ability to provide constructive feedback to enhance student learning. Cultural Awareness: Sensitivity and adaptability to diverse student backgrounds and needs. These competencies, as identified by the University's academic community, encompass the knowledge, skills, and behaviors essential to a faculty member's success in the classroom and provide the basis for the faculty hiring, evaluation and development process. Herzing University is committed to providing a diverse environment and is dedicated to fostering a culture and atmosphere of mutual respect. It provides an inclusive and collegial community where individuals are valued, heard and empowered to contribute to the effectiveness of the institution. Applicants must be authorized to work for any employer in the U.S. We do not sponsor or take over sponsorship of an employment Visa at this time. It is the university's practice to recruit and hire without discrimination because of skin color, gender, religion, LGBTQi2+ status, disability status, age, country of birth, veteran status, or any other status protected by law. https://www.herzing.edu/about/diversity Herzing University prohibits sex-based discrimination in any education program or activity that it operates. Individuals may report concerns or questions to the Title IX Coordinator. The notice of nondiscrimination is located at https://www.herzing.edu/title-ix

Use Your Power for Purpose At Pfizer, our mission is straightforward: empower healthcare decisions regarding the safe and appropriate use of medicines/vaccines. Your work will ensure that our evidence is scientifically robust, providing unbiased and medically necessary expertise to enhance health outcomes. By investigating ways to close data gaps and developing frameworks, you will contribute to the safe and appropriate use of medicines/vaccine, making a significant impact on global health. What You Will Achieve In this role, you will: Provide statistical input into clinical study design and statistical analysis plans. Ensure high-quality statistical deliverables are completed according to study timelines. Ensure all statistical activities comply with regulatory requirements and Pfizer standards. Develop data presentation plans, interpret statistical results, and contribute to clinical trial reports. Support publications and scientific presentations of study results. Collaborate with other project statisticians to ensure consistency in statistical approaches across studies. Identify opportunities to apply innovative statistical methodologies to streamline development and support decision-making. Participate in research on statistical methods relevant to Pfizer's business needs. Contribute to a strong statistics community at Pfizer through collaboration, knowledge sharing, presentations, and process improvement initiatives. Here Is What You Need (Minimum Requirements) M.S. in Statistics, Biostatistics, or a related field with a minimum of 2 years of applied statistical experience; or Ph.D. in Statistics, Biostatistics, or a related field. Strong verbal and written communication skills. Solid understanding of statistical theory and its practical application. Proficiency in SAS or R programming. Ability to clearly explain statistical concepts to non-statistical colleagues. Demonstrated ability to work collaboratively in a team environment. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Bonus Points If You Have (Preferred Requirements) Ph.D. in Statistics or Biostatistics. Strong communication and interpersonal skills. Experience in the design, implementation, analysis, and reporting of clinical trials, particularly in vaccine development. Familiarity with advanced statistical methods such as modeling, simulation, meta-analysis, and the use of diverse data sources. Relocation support available Work Location Assignment: Hybrid The annual base salary for this position ranges from $102,900.00 to $171,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

The Mathematics, Statistics and Data Science Department of Loyola Marymount University invites applications for a tenure-track position at the Assistant Professor level beginning Fall 2026. The successful candidate will have expertise in statistics, data science, or a related field. Applicants are expected to have completed a Ph.D. or comparable terminal degree in statistics, data science, statistics education, operations research, mathematics, or a related field by August 15, 2026. The Mathematics, Statistics and Data Science Department, housed within Loyola Marymount University's College of Science and Engineering, is an inclusive community of 21 full-time faculty members and approximately 70 undergraduate mathematics majors, about half of which are statistics and data science majors, 55 minors, and 10 Master of Arts in Teaching Mathematics students. The department offers several Bachelor's degree options and minors, including both a Bachelor of Science in Statistics and Data Science and a minor in Statistics and Data Science. Faculty in the department work in many areas of pure and applied mathematics, statistics, and data science, in an atmosphere of mutual respect and collaboration. Additional information about the LMU Mathematics, Statistics and Data Science Department is available online at https://cse.lmu.edu/department/math . The Department offers two, three, and four unit courses. The normal teaching load is two to three courses per semester, averaging 9 units per semester, with a reduced teaching load in the first two years. LMU is committed to broadening the participation of students in STEM fields, and LMU's environment offers many opportunities for collaborative research, teaching, and service that actively inform and improve equity and social justice. Faculty responsibilities include teaching, advising, maintaining an active program of scholarship, and engaging in university service. Successful candidates will be dedicated to: 1) teaching a diverse student body in a transformative learning environment across a range of undergraduate courses, 2) developing a thriving research program and mentoring undergraduate students, and 3) participating in service activities at the academic, professional, and/or community levels. The department has a commitment to working towards greater diversity, equity, inclusion, and accessibility in the profession. The successful applicant will submit a statement indicating how they expect to contribute to this effort in ways that align with student-centered pedagogies, accessible mentorship practices, and the university mission. LMU provides comprehensive benefit offerings and robust support for faculty. For more information about our programs visit at https://admin.lmu.edu/hr/totalrewards/benefits/ and https://academics.lmu.edu/ofd/ which links to the latest Faculty Resource Guide. Apply online at MathJobs.Org: https://www.mathjobs.org/jobs/list/26637 . A complete application consists of the following: A cover letter highlighting your experience/interest in the position; A curriculum vitae detailing your educational background, research accomplishments, and work experience, as well as any leadership and service experience (e.g., academic, professional, community) that you believe are relevant to this position; A statement of your teaching philosophy that addresses past and/or potential contributions that would be related to LMU's mission or your overall vision for your role as a teacher-scholar; A statement of current research and your plans for establishing a thriving research program in your area of expertise at LMU, including, if applicable, how you plan to involve undergraduate students in scholarship; A statement that addresses past and/or potential contributions to promotion the success, sense of belonging, and thriving of students from a variety of lived experiences through pedagogical and mentorship practices that center diversity of thought, equity in outcomes, inclusion of students from all backgrounds, and accessible learning environments. The application of these contributions might include, but are not limited to: research, teaching and/or service that has prepared the candidate to contribute to the engagement and inclusion of diverse audiences in higher education, contributions to diverse perspectives and ways of knowing and learning, and/or research or professional experience with a specific social justice-focus on underserved communities or nations; Three letters of recommendation, at least one of which addresses the applicant's teaching. Initial review of applications will begin on October 1, 2025. For full consideration, please submit applications by October 15, 2025. Please address questions to Professor Anna Bargagliotti, Hiring Committee Chair, at Anna.Bargagliotti@lmu.edu. #HERC# #HEJ# Faculty Regular Reasonable expected salary: $97,000.00 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.)

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications Job Scope and Complexity: Initially understand reliability models, then gradually own and run them to generate engineering insights Identify gaps between models and real-world scenarios, and develop innovative ideas to bridge these gaps with clever assumptions Write code as necessary to develop a fundamental understanding of reliability and statistical problems, and present insights and visualizations concisely Collaborate with cross-functional groups to obtain extensive data from the field and validate model results against field results Continuously drive innovation and features in the reliability, availability, and maintainability modeling domain Deliver written periodic reports to keep the wider team informed about status and progress Present ideas and results in concise decks and summary documents Lead cross-functional technical groups, convey key ideas, resolve differing viewpoints with a collaborative spirit, and move discussions forward Eager to learn and adept at picking up new technical concepts and software Be self-driven with a drive for problem-solving Preferred Qualifications: Familiarity with any commercial reliability software (e.g., ReliaSoft) Demonstrated experience with part level and system level reliability analysis. Experience with reliability analysis of complex equipment systems a plus. Experience with failure mode analysis Familiarity with SQL and PBI Demonstrated experience using statistical and visualization packages for problem solving (e.g., JMP, Matlab, R, Python, PBI, Tableau, etc.). Familiarity with SQL is a plus. Master's degree or doctorate in related discipline is preferred Experience in the framework of a Product Life Cycle and SEMI E10 definitions is a plus Minimum Qualifications Bachelor's Level Degree and 0 years related work experience mechanical engineering, electrical engineering, computer science engineering, statistics, or related engineering discipline Demonstrated experience of advancing solutions to technical problems in a cross-functional and multidisciplinary environment Evidence of learning new software and adaptability to continuously learn new technical topics Evidence of applying statistics in solving real world industrial problems. A strong understanding of statistical distributions and their applications in real world (e.g., Weibull, exponential, etc.) A strong grasp of basic probability concepts. An understanding of Bayes' probability framework is considered a plus. Evidence of proficiency in coding to solve applied industrial problems Strong interpersonal and communication skills Base Pay Range: $61,500.00 - $104,600.00 Annually Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.