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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

Math Expert (Contract) Labelbox Remote (United States preferred) Shape the data that powers frontier AI Quick facts - Engagement- Hourly, at‑will contractor - Schedule- Fully remote & asynchronous (min. 15 hrs/week) - Pay Range (US) - \$25 – \$100 per hour - Start Date- Rolling — staffed as projects launch What you’ll do - Data annotation: Accurately label and categorize statistical expressions, equations, datasets, problems, and related content - Concept mapping: Connect statistical concepts and establish relationships between topics such as probability, distributions, hypothesis testing, regression, and statistical modeling to help AI models understand the underlying structure of statistics - Solution verification: Analyze and provide feedback on AI-generated solutions to statistics and probability problems, identifying errors and offering step-by-step explanations to improve model accuracy - Content development: Contribute to comprehensive training datasets covering a broad range of statistics concepts and difficulty levels - Red teaming: Identify potential biases, inaccuracies, or limitations in the AI’s understanding of statistics and probability. Design tests to ensure AI outputs are robust and practically applicable You’re a great fit if - You have deep expertise in probability and statistics, demonstrated through research, teaching, or applied problem-solving - You are enrolled in or have completed a Bachelor’s degree or higher from an accredited institution - You have experience building or reviewing complex data, educational, or technical content - You possess native-level proficiency in probability and statistics, and communicate concepts clearly in written English - Bonus: Experience with data labeling, RLHF, or other AI training projects About the role - Flexible workload — work from anywhere, on your own schedule - High impact — your craft directly improves models used by top AI labs & Fortune 500 teams - Clear ownership — know exactly what success looks like and have autonomy to deliver - Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs Interview process - Complete a screening with Zara , our AI interviewer in English, to learn more about your background and experience. - Domain-specific Zara interview to assess your understanding of fundamental statistical principles, exploring the underlying mechanisms that govern data analysis and inference. About Labelbox Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide. Ready to Apply? Click “Apply” above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project. $20 - $120 an hour

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.

Tutor Me Education is reshaping how students learn. We are looking for teachers and tutors with special education experience to provide 1:1 or group instruction to students all across the country! Here are the details: Virtual instruction from your home computer! This is a remote job! Monday to Friday Set your own hourly rate and negotiate on a per job basis About Tutor Me Education: We are a tutoring and test-preparation platform that connects tutors with clients and school districts Tutors set their own hourly rate and decide which tutoring jobs to accept based on their availability At Tutor Me Education, there are always new job opportunities with hundreds of new students signing up every day! Requirements Job requirements: Previous tutoring/teaching experience highly preferred Previous experience with special education, accommodations, and working with students with learning disabilities highly preferred Bachelor's degree Must be comfortable teaching statistics Ability to make learning fun and interactive, with the focus of the tutoring often determined by student questions and comments Ability to pass a background check if required This is a contract job, with opportunities for additional tutoring/virtual instruction thereafter. Tutors and teachers on our platform systematically receive opportunities as they come in based on experience, subjects offered, availability, etc. Benefits Flexible schedule! Work from home on your personal computer! Set your own hourly rate!

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Objectives: Takeda’s mission is to serve patients. This patient focus drives the organization to create the medicines patients need and the innovations that will deliver genuine improvements to their lives. Takeda insists on a high standard for innovation in order to deliver true value to patients, healthcare providers, payers and other stakeholders. The R&D Data and Quantitative Sciences organization influences senior leadership and stakeholders to advance Takeda’s R&D pipeline. Central to Takeda’s R&D operating model are the pillars of Data & Quantitative Sciences, which are leveraged to support the imperative of becoming a data-driven and scientifically and quantitatively disciplined rigorous organization. This focus enhances the speed and success of R&D growth and strengthens competitiveness. R&D Data & Quantitative Sciences encompasses several global functions, including Quantitative Pharmacology and Translational Sciences, Statistics & Quantitative Sciences, Programming, Global Evidence Outcomes, Patient Safety & Pharmacovigilance, and Strategic Operations The department integrates data science, analytics, and quantitative methods to enhance efficiency and precision throughout the drug discovery and development lifecycle. It leverages cutting-edge technology, machine learning, AI, and statistical methods to analyze complex datasets, generate predictive models, and provide actionable insights. It collaborates cross-functionally to ensure scientific rigor and compliance with regulatory standards in all decision-making processes. As part of DQS, the Statistics and Quantitative Sciences (SQS) at Takeda is looking to add individuals to our team that are team oriented, collaborative, exceptional leaders and innovators. SQS aspires to bring safe and effective medications to the patients with our quantitative skills. We design efficient trials, contribute to clinical development strategies, perform high quality statistical analyses, and pursue operational excellence. Delivery & Business Accountabilities: Lead delivery for one or more assets at GPT level or specialty area in clinical Facilitate execution and delivery collaboration cross functionally in Global Project Teams (GPTs), generally within DQS and R&D, and with external vendors Enable the consistent execution of the SQS and DQS seamless and predictable delivery mission Lead and be accountable for asset level delivery strategies being implemented with effective risk identification and mitigation Create an internal cross functional and external with vendors sphere of influence in predictable delivery Identify opportunity for continuous improvement in delivery approaches and leverages fit-for-purpose mitigations by leveraging them Contributions: Asset-level GPT strategy and delivery Broadly DQS functions Parts R&D functions. Core Elements Related to this Role: Advanced knowledge of clinical study designs, analysis methodology and data interpretation. Advanced knowledge of pharmaceutical industry, overall drug development process with expertise in the cross-functional interfaces with the Statistics function. Advanced knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions. Strong statistical programming skills Excellent oral and written communications skills. Specialized statistical expertise in multiple therapeutic areas or development phases. Strong inter-personal and people management skills. Strong project management skills. Strong collaborative skills and ability to work with a cross-functional team. Technical/Functional (Line) Expertise: Subject matter expertise in several quantitative and statistical areas and establishes oneself as a go-to colleague on a few topics Scientific understanding of drug R&D to inform methodological input with product team or in a platform Strong communication skills and ability to translate effectively across functional lines Ability to Identify and research new innovative approaches and leverage fit-for-purpose methods in to programs that he/she is involved in Leadership: Lead one or more assets at GPT level or specialty area in preclinical, clinical, translational Facilitate collaboration cross functionally in GPTs and generally within DQS and R&D Enable the tactical execution of the SQS and DQS vision and mission Lead and be accountable for asset level strategies being implemented Demonstrate mentorship, matrix or direct management of small team of SQS colleagues Create an internal and external sphere of influence in area of expertise Education: PHD with ~ 5 years experience MS with ~ 8+ years experience Behavioral Competencies: Inspire teamwork Assess benefit risk of options Develop understanding of business beyond SQS Focuses on priorities Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $153,600.00 - $241,340.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt YesIt 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.

Job Description: The Adjunct – Mathematics/Statistics position provides quality instruction and maintains a positive learning environment in the classroom, with major emphasis placed on teaching, supporting, and evaluating students. The Adjunct role provides instruction and monitors teaching/learning effectiveness in courses assigned by the Department Chair or other leadership members. The incumbent must exhibit strong organizational skills and the ability to multitask while engaging large groups of people with complicated material Instruction & Student Learning Teaches assigned courses as scheduled and assumes primary responsibility for and exercises oversight of the curriculum in conjunction with the Department’s policies, ensuring both the rigor of programs and the quality of instruction. Considers individual differences of students to design and support a range of appropriate learning activities. Participates in the identification of students with academic or other needs and responds by utilizing an appropriate resource. Uses technology in a manner appropriate to the nature and objectives of courses and programs and communicates clearly to students the expectations concerning the use of such technology. Keeps accurate and appropriate records in accordance with departmental policies. Maintains attendance records, determines and submits grades timely, and in accordance with established policies and procedures of the College, and communicates progress feedback as well as other relevant information to students throughout the semester. Distributes and maintains accurate syllabi that incorporate departmental, college, cross-college, and instructor requirements. Conducts classes punctually and in accordance with the prescribed meeting schedule. Employs appropriate assessment techniques to measure students’ performance in achieving course goals and objectives. Engages in periodic meetings with the department, Lead Instructor, and Chairperson relative to teaching duties and professional development. Student Engagement & Advisement Creates a positive classroom atmosphere that encourages active and collaborative learning, student effort, academic challenge, student and faculty interaction, and support for learners. Uses technology to assist in communication with students. Encourages a sense of community among students for learning both inside and outside the classroom. Refers students to appropriate student and academic support services available at the College or in the community. Culture of Respect Fosters and maintains a safe environment of respect and inclusion for faculty, staff, students, and members of the community. Minimum Qualifications Master's degree in Mathematics, Statistics, or Mathematical Sciences One (1) year of teaching experience in the discipline OR Master's degree in a related field, plus 18 semester credit hours of graduate-level Mathematics and/or Statistics, plus one year of teaching experience in the discipline. Preferred Qualifications Master's concentration or Ph.D. concentration in Mathematics or Statistics Two (2) years of college Mathematics and/or Statistics instruction At least one course in the area the applicant will be teaching Additional Information State Motor Vehicle Operator's License or demonstrable ability to gain access to work site(s). Initially, the Adjunct will teach in an in-person modality. Assignments may include online modality after demonstrating successful in-person teaching. CSCC has the right to revise this position description at any time. This position description does not represent in any way a contract of employment. Compensation Details: Compensation: $55.88 per contact hour Contact Hour: Two hours equals one contact hour Hours: Maximum of 12 contact hours per week Full Time/Part Time: Part time

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. Functional Overview & Responsibilities Our Global Statistical Sciences department includes over 200 people with advanced degrees in Statistics/Biostatistics . Our diverse population of global talent brings innovation to every aspect of our business - from Discovery Research to Clinical Development to Manufacturing and Real-world Evidence . We are playing a leading role in transforming the way the company develops medicines using state-of-the-art methods in adaptive designs, Bayesian statistics, causal inference, genetic/biomarker analysis, machine learning and more! As an intern in our Global Statistical Sciences department, you will have an opportunity to gain technical expertise and contribute to cutting edge research. You will understand the patient and business needs and then design, execute, and analyze clinical and other studies. Your creativity and leadership are essential elements of bringing better solutions in our drug discovery and development. Within Lilly’s culture that values analytics and data-driven decisions, you will be part of the team that makes important contributions to our patients’ lives. Responsibilities: The job tasks listed below outline the scope of the position. The application of these tasks may vary, based upon current business needs. Partner with experts in statistics, basic science and medical to optimize drug discovery and development processes Introduce and apply innovative methodology and tools to solve critical problems Be accurate and creative in communicating results Be up to date on novel and state of the art data and analytics technologies and approaches Challenge yourself and others to be a life-long learner and always look for better ways to deliver Basic Qualifications Currently enrolled in a PhD Program in Statistics or Biostatistics, passed qualification exam, and will complete the third year by May 2026 Additional Functional Job Skills & Preference Proficient in statistical programming languages/software such as SAS, R, Python, etc Interpersonal communication skills for effective customer consultation Technical expertise and application with working knowledge of experimental design and statistical analysis Creativity and innovation Demonstrated problem solving ability and strategic thinking Additional Information All interns will be considered for full-time positions based on their internship performance Lilly arranges various intern activities including sporting events, dinners, lunch and learns, volunteer activities etc. to provide opportunities for socializing, professional development, and learning more about Lilly. Interns will receive 1 week of paid time off during the Lilly summer shut-down (June 29th, 2026 – July 3rd, 2026 ) Interns will receive a competitive salary and free parking at their work site, as well as access to Lilly’s LIFE fitness center, bike garage, and many other discounts If the intern's job position requires a move from another location, Lilly will provide subsidized housing Interns are responsible for arranging their own transportation to and from work. 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 $43,000 - $110,000 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

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Objective / Purpose: Takeda’s mission is to serve patients. This patient focus drives the organization to create the medicines patients need and the innovations that will deliver genuine improvements to their lives. Takeda insists on a high standard for innovation in order to deliver true value to patients, healthcare providers, payers and other stakeholders. The R&D Data and Quantitative Sciences organization influences senior leadership and stakeholders to advance Takeda’s R&D pipeline. Central to Takeda’s R&D operating model are the pillars of Data & Quantitative Sciences, which are leveraged to support the imperative of becoming a data-driven and scientifically and quantitatively disciplined rigorous organization. This focus enhances the speed and success of R&D growth and strengthens competitiveness. R&D Data & Quantitative Sciences encompasses several global functions, including Quantitative Pharmacology and Translational Sciences, Statistics & Quantitative Sciences, Programming, Global Evidence Outcomes, Patient Safety & Pharmacovigilance, and Strategic Operations The department integrates data science, analytics, and quantitative methods to enhance efficiency and precision throughout the drug discovery and development lifecycle. It leverages cutting-edge technology, machine learning, AI, and statistical methods to analyze complex datasets, generate predictive models, and provide actionable insights. It collaborates cross-functionally to ensure scientific rigor and compliance with regulatory standards in all decision-making processes. Accountabilities: A Senior Director in Statistics is expected to: Play key role in execution and delivery leadership of Therapeutic Area Unit (TAU), Business Unit (BU), or SQS function or specialty area in preclinical / clinical / translational Be the cross functional leader and accountable execution and delivery decision maker that has direct impact on R&D Define and contribute to execution and delivery strategic mission and the respective implementation for the promotion of R&D seamless and predictable delivery Proactively identify risks and mitigation strategies to optimize R&D business impact in terms of costs, quality, and timeliness Be accountable for growth and development of SQS delivery capabilities through processes, systems and oversight mechanisms Show influential execution and delivery leadership both within and outside of Takeda with vendors and partners Provide strategic vision for long-term delivery innovation Education & Competencies (Technical and Behavioral): Desired education qualifications and equivalencies (e.g., PhD degree in a scientific discipline with 12+ years’ experience, or MS with 15+ years’ experience Experience with at least one NDA/CTDs or other regulatory submissions Experience representing Statistics function in interactions with regulatory agencies Advanced knowledge of clinical study designs, analysis methodology and data interpretation Advanced knowledge of pharmaceutical industry, overall drug development process with expertise in the cross-functional interfaces with the Statistics function Advanced knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions Strong statistical programming skills Excellent oral and written communications skills Specialized statistical expertise in multiple therapeutic areas or development phases Strong interpersonal and people management skills Strong project management skills Strong collaborative skills and ability to work with a cross-functional team Ability to inspire and motivate staff Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $208,200.00 - $327,140.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation. EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law. Locations Boston, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time Job Exempt YesIt 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.

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

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.

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.

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.)

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

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.

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. We are looking for a highly qualified statistical leader who will lead the product development statistics team in supporting a wide variety of projects in the product development (nonclinical) area of LRL in collaboration with biologists, chemists, formulators, and engineers. In addition to strong technical skills, the role requires a strong desire and ability to take initiative, educate, and communicate the value of good statistical practices and concepts to a variety of scientific partners. Purpose The Executive Director will provide strategic and statistical leadership to all assets in the product development portfolio and will provide overall leadership including supervision, career development, and performance management for the product development statistics team. People Leadership Responsible for coaching and mentoring staff for excellence Accountable for overall performance of direct reports Responsible for directing employee career development. Provide leadership and direction to staff regarding departmental policies, organizational goals, objectives, performance management, and company policies Ensure staff members receive appropriate training to perform their jobs. Responsible for recruiting, hiring, and effectively onboarding and integrating new staff. Develop, Implement, and Manage Statistical Leadership Ensure proactive leadership development at all levels Accountable for developing and retaining top talent and managing performance to ensure corporate and functional success. Provide statistical leadership and coaching at both a strategic and tactical level. Oversee management of product portfolio support including assignment and allocation of Statistics resources Communicate and collaborate with partners from scientific areas, including Regulatory, Discovery, Development, and Manufacturing, Medical, Global Patient Safety (GPS), etc. Ensure compliance with internal and external standards and SOPs. Maintain a work environment that upholds the Lilly values. Statistical Activities Experimental design and analysis for chemists/biologists and formulation scientists to develop & optimize chemical/biochemical processes as well as oral and parenteral formulations, in both batch and continuous manufacturing Experimental design and analysis support for analytical chemists to develop, validate, and transfer analytical methods Design and analysis of long-term and accelerated stability studies to advise development of clinical phase and commercial specifications and expiry dating Develop and implement novel methods and strategies to enable or advance drug development and manufacturing Author/review sections of CMC (Chemistry, Manufacturing, and Controls) regulatory submission documents for successful product approval throughout the world Collaborate with scientists and statisticians on applied research projects related to modeling, experimental design, process control, multivariate analysis, Bayesian methods, quality by design, and more. Communication of Results Collaborate with team members or external partners to communicate development study results with an emphasis on clarity and visualization Assist with or be responsible for communicating via manuscript or oral presentation Communicate results in one-on-one and team meetings with scientists, leaders, or external partners, and present at scientific meetings Regulatory Compliance Perform work in full compliance with assigned curricula and follow applicable Corporate, local, and departmental policies, procedures, processes, and training. Minimum Qualification Requirements Ph.D. in Statistics, Biostatistics, or Industrial Engineering with at least 15 years pharmaceutical experience Additional Skills/Preferences: At least 5 years of management or leadership experience. Proven leadership in managing a large portfolio and people. Deep knowledge in one or more research disciplines in statistics, for example experimental design, Bayesian methods. Deep understanding of applying statistical methods to the development of pharmaceutical products Strong strategic thinking and problem-solving abilities, attention to detail, and result oriented behaviors in a fast-paced environment. Excellent communication, teamwork, and negotiation skills for effective customer collaboration Proficient in R and JMP 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 $177,000 - $308,000 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

Job Title: Senior Team Leader Statistics Location: Morristown, NJ Cambridge, MA About the Job Join the engine of Sanofi's mission - where deep immunoscience meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions. Our Evidence Generation and Decision Science (EGDS) group at Sanofi unites Biostatistics, Clinical Statistical Modeling, and Real-World Evidence to revolutionize data-driven decision making through cutting-edge quantitative science and deliver unparalleled integrated evidence that drives innovation and scientific breakthroughs. Join our EGDS Biostatistics I&I team as Senior Team Leader Statistics, Biostatistics (Senior Director) and you'll provide statistical leadership, guidance, and strategic input for clinical studies in large or multiple complexed projects. You'll manage a team of biostatisticians and will have opportunities to develop innovative statistical solutions to support critical trial decision-making and advance treatment across all phases of drug development. EGDS will support your growth through people development and inclusive career opportunities that value diversity of thought and abilities, cultivating future leaders to shape the next generation of clinical science. About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives. Main Responsibilities: Oversee statistical and scientific contribution to clinical development plans, studies and submissions activities (when applicable), and provide strategic statistical leadership for responsible projects. Manage a team of biostatisticians. Define team members priorities, performance review and development areas. Mentor junior project team members and nurture a culture of productive teamwork, quality, operational efficiency, and innovation. Plan, monitor and manage project activities, timelines, processes, and resources to ensure operational excellence and align practices in compliant with Sanofi SOPs and Biostatistics standards. Develop productive collaboration with other functions in the aligned project team, with other statistics project leaders, and in communicating with senior leadership. Lead or play an influential role in EGDS development initiatives and key cross-functional activities; represent statistics in challenging regulatory meetings, key scientific or technology working groups. About You PhD/MS in statistics or related discipline with at least 10 years of pharmaceutical experience in clinical development, including experience with Biotech, Pharma, Clinical Research Organizations (CROs), health authorities and academic clinical research centers. Excellent knowledge and understanding of clinical development and advanced statistical concepts and techniques. Proven successful experience in clinical development or post-marketing activities such as submissions, interactions with regulatory agencies or other external stakeholders. Demonstrated and recognized expertise in operational or statistical or managerial aspects Demonstrated leadership and excellent interpersonal/communication, project and people management skills. Exhibited expertise to represent organizations in cross-company activities (e.g. consortiums or professional associations). 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. 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. North America Applicants Only The salary range for this position is: $202,500.00 - $292,500.00 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

Job Description: The Adjunct - Mathematics/Statistics position provides quality instruction and maintains a positive learning environment in the classroom, with major emphasis placed on teaching, supporting, and evaluating students. The Adjunct role provides instruction and monitors teaching/learning effectiveness in courses assigned by the Department Chair or other leadership members. The incumbent must exhibit strong organizational skills and the ability to multitask while engaging large groups of people with complicated material Instruction & Student Learning Teaches assigned courses as scheduled and assumes primary responsibility for and exercises oversight of the curriculum in conjunction with the Department's policies, ensuring both the rigor of programs and the quality of instruction. Considers individual differences of students to design and support a range of appropriate learning activities. Participates in the identification of students with academic or other needs and responds by utilizing an appropriate resource. Uses technology in a manner appropriate to the nature and objectives of courses and programs and communicates clearly to students the expectations concerning the use of such technology. Keeps accurate and appropriate records in accordance with departmental policies. Maintains attendance records, determines and submits grades timely, and in accordance with established policies and procedures of the College, and communicates progress feedback as well as other relevant information to students throughout the semester. Distributes and maintains accurate syllabi that incorporate departmental, college, cross-college, and instructor requirements. Conducts classes punctually and in accordance with the prescribed meeting schedule. Employs appropriate assessment techniques to measure students' performance in achieving course goals and objectives. Engages in periodic meetings with the department, Lead Instructor, and Chairperson relative to teaching duties and professional development. Student Engagement & Advisement Creates a positive classroom atmosphere that encourages active and collaborative learning, student effort, academic challenge, student and faculty interaction, and support for learners. Uses technology to assist in communication with students. Encourages a sense of community among students for learning both inside and outside the classroom. Refers students to appropriate student and academic support services available at the College or in the community. Culture of Respect Fosters and maintains a safe environment of respect and inclusion for faculty, staff, students, and members of the community. Minimum Qualifications Master's degree in Mathematics, Statistics, or Mathematical Sciences One (1) year of teaching experience in the discipline OR Master's degree in a related field, plus 18 semester credit hours of graduate-level Mathematics and/or Statistics, plus one year of teaching experience in the discipline. Preferred Qualifications Master's concentration or Ph.D. concentration in Mathematics or Statistics Two (2) years of college Mathematics and/or Statistics instruction At least one course in the area the applicant will be teaching Additional Information State Motor Vehicle Operator's License or demonstrable ability to gain access to work site(s). Initially, the Adjunct will teach in an in-person modality. Assignments may include online modality after demonstrating successful in-person teaching. CSCC has the right to revise this position description at any time. This position description does not represent in any way a contract of employment. Compensation Details: Compensation: $55.88 per contact hour Contact Hour: Two hours equals one contact hour Hours: Maximum of 12 contact hours per week Full Time/Part Time: Part time

Job Title: Senior Team Leader Statistics Location: Morristown, NJ Cambridge, MA About the Job Join the engine of Sanofi's mission - where deep immunoscience meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions. Our Evidence Generation and Decision Science (EGDS) group at Sanofi unites Biostatistics, Clinical Statistical Modeling, and Real-World Evidence to revolutionize data-driven decision making through cutting-edge quantitative science and deliver unparalleled integrated evidence that drives innovation and scientific breakthroughs. Join our EGDS Biostatistics I&I team as Senior Team Leader Statistics, Biostatistics (Senior Director) and you'll provide statistical leadership, guidance, and strategic input for clinical studies in large or multiple complexed projects. You'll manage a team of biostatisticians and will have opportunities to develop innovative statistical solutions to support critical trial decision-making and advance treatment across all phases of drug development. EGDS will support your growth through people development and inclusive career opportunities that value diversity of thought and abilities, cultivating future leaders to shape the next generation of clinical science. About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system - and innovative pipeline - enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives. Main Responsibilities: Oversee statistical and scientific contribution to clinical development plans, studies and submissions activities (when applicable), and provide strategic statistical leadership for responsible projects. Manage a team of biostatisticians. Define team members priorities, performance review and development areas. Mentor junior project team members and nurture a culture of productive teamwork, quality, operational efficiency, and innovation. Plan, monitor and manage project activities, timelines, processes, and resources to ensure operational excellence and align practices in compliant with Sanofi SOPs and Biostatistics standards. Develop productive collaboration with other functions in the aligned project team, with other statistics project leaders, and in communicating with senior leadership. Lead or play an influential role in EGDS development initiatives and key cross-functional activities; represent statistics in challenging regulatory meetings, key scientific or technology working groups. About You PhD/MS in statistics or related discipline with at least 10 years of pharmaceutical experience in clinical development, including experience with Biotech, Pharma, Clinical Research Organizations (CROs), health authorities and academic clinical research centers. Excellent knowledge and understanding of clinical development and advanced statistical concepts and techniques. Proven successful experience in clinical development or post-marketing activities such as submissions, interactions with regulatory agencies or other external stakeholders. Demonstrated and recognized expertise in operational or statistical or managerial aspects Demonstrated leadership and excellent interpersonal/communication, project and people management skills. Exhibited expertise to represent organizations in cross-company activities (e.g. consortiums or professional associations). 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. 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. North America Applicants Only The salary range for this position is: $202,500.00 - $292,500.00 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.