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About Teads Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 30+ countries. For more information, visit www.teads.com. About the opportunity We are seeking a Principal Engineer Consultant for our Data Science & AI department, with deep experience in the advertising industry, to join a team of passionate engineers who build advertising solutions at world scale. We build and operate large-scale distributed machine learning systems that make 1B predictions per second during real-time auctions. The Principal position at Teads represents the highest level of seniority on the IC ladder. They are tackling cross-functional, strategical, and pivotal initiatives, prioritizing robust engineering choices. Principals are working closely with the Leadership, Product and Engineering teams, all while fostering a culture of excellence. What will you do? As a Principal Engineer in our Data Science & AI Department your mission will be to: Stay on top of the state-of-the-art science and technology of large scale advertising systems Areas of interest are models for CTR and CVR, foundation models for recommendation systems, on-line learning, cold start, embeddings for users, ads and similar,ad matching and ranking, pacing and optimal bidding, auction design, etc. Work with teams of data scientists and machine learning engineers to identify investment opportunities Help the teams across the organization in implementing the solutions as an advisor On projects you choose you will be a part of the implementation team where you will be expected to participate in bringing them projects to the production environment Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios Spend time experimenting with new approaches by yourself Follow industrial and academic research, occasionally publish at conferences What will you bring to the team? Deep experience of the ad tech industry use of AI and data science Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate complicated topics to expert audiences Strong problem solving skills, and ability to align teams on solutions True scientist skills: fast learner, curious, sense of details, rigorous Experience in Statistics (i.e. statistical analysis, regression analysis, …) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning, …) Ability to read scientific articles, to analyze critically, and to implement as appropriate Good taste in architecture of AI systems The team The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers Your peers will all have deep experience from on-line ad systems from Teads and previous companies. We are staying at the bleeding edge of research and technology The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes #Li-hybrid Life at Teads At Teads, we don't just offer new roles - we blend creativity, technology, and data to shape the future of media. You'll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies. As a Teadster, you'll play a critical role in shaping our future success in the region. Here's why Teads stands out: We've merged two open internet category leaders-Outbrain and Teads-to create the 'new' Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web. As part of our team, you'll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning. Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role. Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups - employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you'll be able to share your passions with likeminded people.

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio's operations in marketing, sales, post-sales, and product development. In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions. You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses. You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact. Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions! What you'll work on: Define and implement Clio's data science strategy that aligns with Clio's business objectives, including revenue growth, customer retention, and operational efficiency Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+) Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting About you: Graduate degree in Computer Science, Engineering, Statistics or a related field. 10+ years extensive experience building and scaling a data science function in a high-growth environment 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning Experience reporting and presenting to senior business stakeholders Experience leading go-to-market initiatives and partnering with product development teams Experience with putting data science solutions in production and maintaining them Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences Growth mindset when it comes to process improvement and new technologies, especially AI Bonus points for: High level of business acumen obtained through professional experience or certification MBA, CFA, PMM Experience in SaaS or legal industry Experience with unstructured data and graph data structures What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week. Flexible time off policy, with an encouraged 20 days off per year. EAP benefits for you and household members, including counseling and online resources 401k matching and Child Education Savings Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The expected salary range* for this role is $240,700 to $300,800 to $360,900 USD. There are a separate set of salary bands for other regions based on local currency. In addition, this role is eligible for variable pay that is based on company performance, with actual payout amounts calculated and paid on a quarterly basis. Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions. Disclaimer: We only communicate with candidates through official @clio.com email addresses.

Sony Pictures Entertainment (SPE) is home to some of the world’s most beloved films and television series. From Cobra Kai to The Night Agent , our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We are seeking a Director of Data Science to lead, mentor, and grow a high-performing team of data scientists while remaining hands-on in technical work. This role requires a leader who can navigate ambiguity, communicate clearly across all levels, and build impactful machine learning solutions that support SPE’s content, marketing, and distribution teams. You will shape the direction of data science at Sony Pictures and help establish a strong, collaborative, and positive team culture. What You’ll Do: Technical Leadership Lead the design, development, and deployment of machine learning models, including traditional ML techniques with opportunities to expand into deep learning and generative AI where appropriate. Oversee end-to-end model development, including problem scoping, data exploration, feature engineering, model training, validation, and operationalization. Contribute as ahands-on IC, demonstrating excellence in execution while modeling collaboration and best practices Conduct code reviews, set technical standards, and ensure model quality, rigor, reproducibility, and performance monitoring. Guide the creation of POCs, validate feasibility, and partner with engineering to productionalize models and data science tools. Work closely with product teams to define requirements, drive adoption, measure impact, and continuously improve data science products Support work across diverse problem types, from predictive modeling and classification to unstructured text processing and AI-enhanced apps. Promote best practices in responsible AI, including interpretability, fairness assessments, and ongoing model governance. Team & Strategy Leadership Manage, mentor, and develop a team of data scientists and analysts, supporting both technical growth and career progression. Scope and structure ambiguous, loosely defined business asks, transforming open-ended questions into actionable data science projects with clear roadmaps and deliverables. Communicate effectively upward, downward, and across the organization, serving as the connective tissue between the team, stakeholders, and leadership. Help the team navigate the realities of the work cycle—projects that may begin undefined or become high-pressure when deadlines accelerate—and ensure priorities remain balanced and achievable. Foster a positive, collaborative culture that values learning, curiosity, flexibility, and giving each other grace as the team grows and evolves. Serve as a strategic partner to stakeholders, helping them articulate needs, uncover insights and drivers, and understand the value data science can deliver What We’re Looking For 10+ years of experience in data science, machine learning, or applied analytics roles. 3+ years of experience managing people, including hiring, mentoring, and performance management. Strong proficiency in Python, SQL, and widely used ML frameworks (scikit-learn, XGBoost, TensorFlow or PyTorch). Deep experience with MLOps practices including CI/CD for ML, feature stores, model registries, monitoring, drift detection, cloud platforms (AWS, GCP) and MLOps tooling Proven experience delivering end-to-end ML solutions, including modeling, implementation, and impact measurement. Strong understanding of traditional machine learning techniques Experience with modern Gen AI techniques such as prompt engineering, embeddings, RAG pipelines, vector databases, and conversational AI/agent frameworks Excellent communication and storytelling skills; able to simplify complex models and influence cross-functional partners. Demonstrated ability to lead teams through ambiguity, rapid changes, and competing priorities. Commitment to team culture, collaboration, and continuous learning. Nice to have: Experience in the media & entertainment industry. Familiarity with apps (Dash, or Shiny). Why Join Us Shape the future of entertainment — your work will directly influence how audiences around the world discover and enjoy Sony content. Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $190K to $228K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

High School Math & Science Teachers Wanted for Fun After-School Tutoring! Sylvan Learning is looking for fun, dedicated teachers and tutors to help and inspire students. We are currently looking for teachers and tutors who are able to teach Algebra, Geometry, Algebra II, and Pre-Calculus. Statistics, Calculus, and high-school sciences are a plus. As a Sylvan instructor, you will be tasked with working with students of all ages. While your primary focus will be helping high school students with their math homework, you may occasionally be called upon to work with late-elementary and middle school students with our pre-built curriculums. These are easy-to-teach, pre-planned lessons which involve explaining a topic to a student, and then having the student work independently using what they just learned. You will also play a key role in motivating and connecting with each student, so they feel inspired to learn. Job Requirements: Bachelor’s Degree preferred but not required, preferably in math or related field or currently in college (Junior or Senior) in math or science related fields In addition to the traditional interview process, you will need to prove your skills by taking a math test that covers Algebra through Pre-Calculus. It should take about an hour. You must enjoy teaching, working, and inspiring students. (We want you to be happy here!) Being punctual is extremely important. You must be local and have reliable transportation. What you should know: Each student will typically ask questions about their classwork or homework for the day. Sometimes they will need help preparing for a test. For some students, you will use pre-planned lessons. They are straightforward, easy to manage, and fun to teach. Teach students in a small group setting. There will be no more than 4 students per teacher. This is NOT a remote position Benefits: Competitive Pay for fun and easy work. Paid training and opportunities for professional development. Flexible part-time work hours. We work around your availability! No late nights or holidays. • Come in, work for a couple of hours, and leave happy with no additional work to take home! • Fun, enjoyable, and relaxing work environment with lots of support from fellow teachers and staff! • Happy, understanding, and caring management. You will love working here! $15-$18 per hour

Museum of Science, Boston www.mos.org Innovation and creativity come from the unique perspectives of a diverse staff. We value your perspective. Who We Are As science and technology increasingly shape our lives, the Museum of Science strives to equip and inspire everyone to use science for the global good while keeping up with the pace of change. Among the world’s largest science centers and New England’s most attended cultural institution, we engage nearly five million people a year – at Science Park and in museums around the world, in classrooms, and online. The Museum’s singular location connecting Boston and Cambridge puts us at the junction of some of the world’s most influential academic institutions and industries, local and state government, schools, and the public. Trusted by each sector, we are ideally positioned to convene, inspire, and create meaningful experiences for all. Come join us on our mission to inspire a lifelong love of science in everyone and living our vision for a world where science belongs to each of us for the good of all of us. Why We Need You The Research and Science Communication Assistant (RSCA) will work closely with small teams of peers, under mentorship from Museum staff and invited external STEM experts, to engage visitors in learning about current science topics as part of their museum visit. The RSCA will complete training in science education strategies, science communication practices, and Museum evaluation methods. They will learn skills related to developing novel Museum experiences, including those needed to review and interpret information from scientific literature, translate complex science concepts into meaningful experiences for the public, and collect and analyze data from Museum visitors. The RSCA will gain practical experience in delivering engaging learning experiences for Museum visitors, by developing and prototyping educational products such as hands-on activities, exhibit components, and visitor handouts, as well as facilitating small group activities for families in the exhibit halls. This position requires a commitment of 3 days/week during summer (mid-June to late August), and 1 day/week during the academic year (September to June). Please note: Applicants to this position must be between the ages of 14-19, and actively enrolled in high school or an equivalent program. What You’ll Accomplish 1. Develop and maintain familiarity with best practices for science education, science communication, and science research, with a focus on those that support visitors’ science learning in Museums 2. Support the development of novel educational products (e.g., visitor handouts, hands-on activities, exhibit components), by reading and summarizing scientific literature, sourcing educational media, assisting in storyboarding and drafting educational content for diverse Museum audiences, and developing prototype experiences for testing 3. Contribute to the delivery of high-quality STEM learning experiences in the Museum, by facilitating activities for visitors across a range of topics (e.g. through hands-on activities, demonstrations, presentations) and providing logistical support (e.g. helping maintain exhibit spaces, documenting activities, assisting with materials management). 4. Assist in ongoing Museum evaluation projects by recruiting Museum visitors to test new educational offerings, collecting data on visitor feedback and behaviors, and discussing study methods and findings with Museum evaluators 5. Perform other work related duties as required by Manager. What We’re Looking For (Competencies) Curiosity & Learning : Demonstrated interest in science communication, science education, and/or science research practice. Open to learning new skills and applying them to the development and evaluation of Museum experiences. Communication : Demonstrated strong interpersonal and communication skills (both written and verbal). Maintains high standards for proactive and consistent communication with colleagues and mentors. Collaboration : Able to work both independently and in a dynamic group setting that requires collaboration with diverse members of the Museum’s Exhibits, Research, and Collections team. Demonstrated experience contributing to a team. Commitment to Museum Values : Demonstrated interest in supporting the development and evaluation of experiences that promote diversity, equity, accessibility, inclusion, and belonging. Detail-oriented : Demonstrated ability to manage tasks with both accuracy and thoroughness. Able to organize and track responsibilities effectively, ensuring consistency and quality in work. Special Skills:Demonstrated familiarity with informal science education practicesSpanish language skills (written and/or verbal) Work Schedule: Summer (Mid-June through August): 21 hours/week (three 7-hour shifts, 9am – 5pm). One of the days must be a weekend day. Research and Science Communication Assistants have a one-hour, unpaid lunch break each day.Fall/Spring (September through May): 8 hours/week (one 7-hour shift, 9am-5pm), on a Saturday or Sunday, plus 1 hour on a weekday (remote). How We Work-Our Values Mission-Focused: We inspire a lifelong love of science in everyone. Audience-Driven: Everything we do begins with the people we serve. Innovative: We are curious, take smart risks, share responsibility, and own outcomes. Generous: We offer time and energy towards common goals. Salary Range $17 - $17 USD The Museum of Science is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to their race, gender, color, religion, sexual orientation, national origin, age, physical or mental disability, citizenship status, veteran status, or any other characteristic prohibited by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The Department of Computer Science in the College of Arts and Sciences at the University of Miami seeks applicants for a full-time faculty appointment in Quantum Computing as part of a multi-year hiring initiative in quantum science. The appointment will be at the rank of assistant professor (tenure-track) and will begin August 15, 2026. The areas of interests include, but are not limited to, quantum algorithms, quantum cryptography, quantum error correction, quantum optimization, and the applications of quantum computing to sciences. The ideal candidate will be able to develop/maintain an internationally recognized research program and teach classes at the undergraduate and graduate levels. Minimum qualifications include a Ph.D. in Computer Science or a related field by the start date of the appointment. Interested applicants must apply online through the University's Careers Website (careers.miami.edu). Applicants should compile the following into a single PDF document and upload it under the CV/Resume link: cover letter, CV, research-teaching statement, and three representative papers. Please arrange for three reference letters to be sent directly to the department at Christy.carrera@miami.edu. Applications received on or before December 15, 2025, will be given full consideration, though the search committee will continue to accept applications until the position is filled. For further information about the position, please contact search@cs.miami.edu. General information about the department can be found at cs.miami.edu. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Faculty

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. This role will act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team. This role requires data science expertise and resources necessary to build market-leading data products and analytic solutions in support of TransUnion's Fraud roadmap. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the "how") to achieve objectives defined by Global Solutions stakeholders (the "what"). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions. What You'll Bring: 10+ years in data science and analytics 5+ years in progressively more challenging team management and leadership roles Master's or PhD degree in statistics, applied mathematics, quantitative economics/finance, engineering, operations research, physical sciences, computer science or another highly quantitative field strongly preferred. Technical Skills: Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools; Deep, hands-on expertise applying AI (ML, agentic, LLMs), statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, adversarial modeling, financial crimes, and anomaly detection. Functional Skills: Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies: Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. A champion of change, able to influence others to adopt new concepts and practices. Impact You'll Make: Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Fraud roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions. Use cases include identity fraud, digital fraud, and other analytic disciplines includes modeling, simulation, and optimization. Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the multiple, cross-organizational working groups and projects, advocate for innovative solution designs and approaches to enhance TransUnion's long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $166,800.00 - $250,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics Company: TransUnion LLC

Cornell University welcomes candidates for the position of Assistant Dean, Cornell Ann S. Bowers College of Computing and Information Science (Cornell Bowers) in our Alumni Affairs and Development division, based in Ithaca, NY. This role presents an exceptional opportunity to contribute to the university's advancement efforts. About Cornell Bowers Cornell's journey in computing began with the formation of its Department of Computer Science in 1965, which awarded its first Ph.D. a year later. Over time, its scope broadened: in 1999 the university established the Faculty of Computing and Information Science (CIS) to unify computing, information, and related disciplines. Key expansions included the incorporation of Statistical Sciences in 2005, and later the establishment of an independent Information Science department, as well as the launch of Statistics and Data Science. With the opening of Gates Hall in 2014 and achievements at Cornell Tech, the college continued to grow in visibility and impact. In 2020, a major gift from Ann S. Bowers '59 transformed the faculty into a fully named college-Cornell Ann S. Bowers College of Computing and Information Science. About Alumni Affairs and Development Cornell's Alumni Affairs and Development (AAD) division, widely regarded as one of the top-performing advancement organizations in higher education, connects alumni, parents and friends with opportunities to advance the university's mission through philanthropy and engagement. As part of our team, you'll help cultivate meaningful relationships while working alongside dedicated professionals who share your commitment to excellence and educational advancement. Position Summary This position is responsible for planning and implementing an integrated approach to development and alumni-relations programs that maximize support for the college. They will serve as chief development officer for and manager of the college's alumni affairs and development program. Responsibilities include team management, post-campaign planning, translating priorities to fundraising opportunities, collaborating on the brand and storytelling of Cornell Bowers, participation in strategic initiatives (e.g., artificial intelligence, design tech, quantum computing) along with Cornell Tech, building a plan to cultivate key volunteers, including the Advisory Council members and Campaign Ad Hoc Working group. Additionally, in partnership with University AA&D, lead Cornell Bowers' principal and major gifts, leadership gifts, annual fund, and any other special projects related specifically to the development and engagement functions of the unit. The Assistant Dean provides professional support for the Dean and serves as a member of the Dean's leadership team. Working closely with the Dean, the Assistant Dean is responsible for supporting and implementing development and alumni-relations initiatives for Cornell Bowers. The Assistant Dean collaborates with Alumni Affairs and Development to advance the Dean's priorities while supporting the College's philanthropic goals. The Assistant Dean reports jointly to the Associate Vice President for Colleges and Units and the Dean. While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others. Key Responsibilities Development Activities- 40% Support major and principal gift fundraising efforts for Cornell Bowers, directly and indirectly Assist in developing and implementing fundraising strategies, within Cornell Bowers and in collaboration with other areas, such as those related to the University's AI Initiative Maintain relationships with donors and prospects Coordinate with development officers on gift proposals and stewardship Alumni Relations and Engagement- 20% Support alumni engagement initiatives Coordinate alumni events and programs Assist in maintaining strong relationships with key alumni Help develop communications strategies for alumni outreach Administrative Leadership- 20% Support the Dean's office in strategic planning Manage special projects as assigned Coordinate with various college departments Assist in budget planning and monitoring Faculty Engagement- 15% Serve as liaison between faculty and development initiatives Support department chairs and faculty in donor interactions Coordinate faculty involvement in alumni activities Assist in identifying funding opportunities for faculty initiatives Other position-related responsibilities- 5% Required Qualifications Bachelor's degree and 7+ years relevant experience or equivalent combination. Progressive experience in development, alumni relations, or similar field. Demonstrated supervisory, organizational, interpersonal, and communication skills (verbal and written). Position requires regular travel. Must be able to establish and maintain effective relationships on behalf of the College and University. Strong ability to work in a team environment and collaborate across units. Demonstrated success in project management and organization. Proficiency with standard office software, databases, and information systems. Work Location This position is eligible for hybrid work arrangement, with at least three on-campus days per week. The university and college reserve the right to modify, suspend, revoke or terminate the hybrid work arrangement at any time. Rewards and Benefits Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability. Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell. Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell. Visa sponsorship is not available for this position. University Job Title: AAD Program Director I Job Family: Alumni Affairs Development Level: H Pay Rate Type: Salary Pay Range: $157,418.00 - $192,400.00 Remote Option Availability: Hybrid Company: Endowed Contact Name: Laura Clark Contact Email: lhc66@cornell.edu Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience Education level to the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell's non-union staff job titles and pay ranges, see Career Navigator. Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell's union wages, see Union Pay Rates. Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by "dragging and dropping" them into the dropbox or by using the "upload" icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu. If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2025-10-16

Teaching Support Specialist I The Opportunity As a university founded to be a place where "…any person can find instruction in any study," inclusion and belonging are at the core of our values and mission. We strive to be a welcoming, caring, healthy, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate, and work in an environment of respect, and feel empowered to engage in any community conversation. As a member of the Cornell University community, it is important to recognize our shared responsibility to each other to cultivate a culture of inclusion for all. Cornell Core values As an individual contributor you will model and support a culture of inclusion, belonging, and wellbeing and continually seek to understand how your role, behaviors, and actions impact the success of this culture. While position responsibilities vary greatly, the Skills for Success and Leadership Skills for Success are foundational to what is expected of every employee and leader working at Cornell. These skills are essential for individual and organizational success. Staff Skills for Success; Leadership Skills for Success About the College The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University's second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world's complex, interlocking systems. We believe that access to nutritious food and a healthy environment is a fundamental human right. We believe that ensuring a prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. The Department of Animal Science offers undergraduate and graduate programs on the biology and management of food, laboratory and companion animal species. Our research programs advance our understanding of animal biology and address local and global issues facing animal industries today. Our goals are to discover and develop new techniques and information to benefit animals, agriculture and human health. Our internationally recognized faculty have diverse interests in animal management, breeding, genetics, physiology, nutrition, growth biology and microbiology. Cornell University offers several courses that are intensive in terms of hands-on activities in laboratories as well having significant large animal handling and management components. These consist of BIOAP 1100 - Domestic Animal Biology that involves multiple laboratory sections each week taught to about 100 students during the fall semester annually plus the operation of Ezra's Farm, which is used to teach hands-on management skills of animals; ANSC 2650 - Equine Biology and Management that has one laboratory section each week taught to about 40 students during the fall semester annually; ANSC 2410 - Biology of Reproduction Lab that involves multiple laboratory sections each week taught to about 100 students annually during the spring semester; and ANSC 3450 -- Reproductive Physiology and Management of Dairy Cattle that involves one laboratory section each week taught to about30 students annually during the spring semester. Each course strives to offer the best possible learning experience for each student. In order to do so, a teaching support specialist is responsible for the maintenance and setup of laboratory exercises and coordination of animals and animal handling activities for these courses. Complete and coordinate training on lab safety and proper handling of chemicals as required by CALS EHS. While position responsibilities vary, every member of our community is expected to foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others. Develop course and instructional material and oversee the operations of the teaching laboratories, teaching prep space, associated equipment, ordering, and coordinate usage of equipment and space. Set up laboratories and demonstration materials in physiology courses. Coordinate animal use for biology and management courses. Maintain all lab and study center space in orderly and clean manner. Order all lab and study center supplies and equipment. Attend TA lab training sessions and participate in training of TAs on procedures and equipment. Assist students with demonstration and lab materials. Supervise teaching assistants during lab sessions. Promote cooperation and a welcoming environment for all students. The teaching support specialist will collaborate with fellow Teaching Support Specialists within the department, providing mutual backup and coverage to ensure consistent support and continuity of service. Because activities involving Ezra's Farm take place 7 days per week during part of the fall semester, employee will at times be required to work flexible hours within the 39-hour work week, including nights and weekends. Success Factors Takes initiative Strong Organizational Skills Effective Collaborations Clear Communication Problem Solving This is a full-time position at 100% FTE for 9 months (August 16 - May 15), part-time at 50% for 3 months (May 16 - August 15). This is a one-year term appointment that is contingent upon available work, funding, and performance. What We Need Bachelors' degree in animal science or physiology with 2-4 years of experience. Experience with biology and/or physiology teaching labs, including dissections of vertebrate tissues. Experience handing a variety of livestock species including dairy and beef cattle, sheep, swine, horses, and chickens. Must express thoughts clearly, both orally and in writing. Excellent planning, organization, time management, and interpersonal skills. Must have a working knowledge of Microsoft Office programs. Demonstrated ability to develop effective working relationships with students, faculty, and staff who have diverse backgrounds. Ability to work in a team setting to create an inclusive, high-quality, and respectful work environment to achieve departmental and university goals. Must be able to work independently. Must be personable, flexible, and take pride in work. Must be able to work occasional evenings and weekends and be able to adapt to changing priorities, situations, and demands. Possess the ability to multitask while meeting priorities with high-quality results. The ideal candidate will anticipate the needs of supervisors and students and have the initiative to take action. Familiarity with standard laboratory safety practices, waste disposal, and safe handling of hazardous chemicals. Familiarity with animal care, handling, and use guidelines and ability to follow approved protocols. Some experience in teaching, instruction, or educational support-whether in formal, informal, or academic settings. Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members. If you have all those things, great! We have a few more things that we would prefer you to have, but it's ok if you don't. Masters' degree with two to three years' job-related experience for teaching component and laboratory operation. Certification in artificial insemination of cattle desired. Rewards and Benefits Cornell receives national recognition as an award-winning workplace for our health, wellbeing, and sustainability. Our benefits programs include comprehensive health care options, generous retirement contributions, access to wellness programs, and employee discounts with local and national retail brands. We invite you to follow this link to get more information about our benefits: Understand Your Benefits | Working at Cornell. Our leave provisions include health and personal leave, three weeks of vacation and 13 holidays: Martin Luther King, Jr. Day, Memorial Day, Juneteenth, Independence Day, Labor Day, Thanksgiving and the day after, and an end of the year winter break from December 25-January 1. To offer greater flexibility for observing faiths and traditions we also offer two additional floating holidays. Learn more about our generous leave provisions: Holiday and Accrued Time Off | Working at Cornell Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance Program. Learn more about our extensive educational benefits: Education Benefits | Working at Cornell Follow this link to learn more about the Total Rewards of Working at Cornell: Total Rewards | Working at Cornell. Visa sponsorship is not available for this position. Cornell is an equal opportunity employer. For more information, visit hr.cornell.edu/eeo. University Job Title: Teaching Supp Spec I Job Family: Academic Support Level: D Pay Rate Type: Hourly Pay Range: $26.00 - $30.05 Remote Option Availability: Onsite Company: Contract College Contact Name: J'Frances White Contact Email: jmw572@cornell.edu Job Titles and Pay Ranges: Non-Union Positions Noted pay ranges reflect the potential pay opportunity for each job profile. The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience Education level to the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell's non-union staff job titles and pay ranges, see Career Navigator. Union Positions The hiring rate of pay for the successful candidate will be determined in accordance with the rates in the respective collective bargaining agreement. To learn more about Cornell's union wages, see Union Pay Rates. Current Employees: If you currently work at Cornell University, please exit this website and log in to Workday using your Net ID and password. Select the Career icon on your Home dashboard to view jobs at Cornell. Online Submission Guidelines: Most positions at Cornell will require you to apply online and submit both a resume/CV and cover letter. You can upload documents either by "dragging and dropping" them into the dropbox or by using the "upload" icon on the application page. For more detailed instructions on how to apply to a job at Cornell, visit How We Hire on the HR website. Employment Assistance: For general questions about the position or the application process, please contact the Recruiter listed in the job posting or email mycareer@cornell.edu. If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. You may also request an appointment to use a dedicated workstation in the Office of Talent Attraction and Recruitment, at the Ithaca campus, by emailing mycareer@cornell.edu. Notice to Applicants: Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law. 2025-12-23

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Medical Affairs Group Job Sub Function: Medical Science Liaison Job Category: Scientific/Technology All Job Posting Locations: Baltimore, Maryland, United States, Charlottesville, Virginia, United States, Richmond, Virginia, United States of America, Washington, District of Columbia, United States of America Job Description: Johnson & Johnson Innovative Medicines is recruiting a Medical Science Liaison, Neuroimmunology in the Mid-Atlantic territory, which includes: Washington D.C., Virginia, West Virginia, Maryland, & Delaware. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine The MSL is responsible for providing fair balanced, objective, scientific information, and education to opinion leaders (OLs), health care professionals, and to internal partners as required by scientific and business needs. The MSL is considered an established scientific and clinical knowledge lead on current and future J&J Innovative Medicine products per Therapeutic Area (TA) alignment. The MSL is responsible for staying abreast of current scientific and treatment landscape trends in their therapeutic areas of interest. The MSL provides research support for company and investigator-initiated research. The MSL will function with high integrity and follow credo values. The MSL will be responsible for: Building external relationships with identified KOLs and health care providers (MD, PA, NP, RN, Pharm.D., bio coordinators) and developing and managing a geographical territory. These relationships and engagements can include both virtual & in-person, with a prioritization of in-person engagements when appropriate. Developing and maintaining a territory strategic plan, which includes educational activities with identified OLs, HCPs, institutions, and community practices. Having a level of competency and experience in the disease state. The MSL is expected to possess foundational competencies in the areas of Influence & Results Focused, Communication, Stakeholder Engagement, Product & Therapeutic Area Knowledge, and Data Insights & Dissemination. Rapidly identify and compliantly collaborate with field-based partners to ensure support of the Healthcare Providers which will positively impact the patients that they care for. To enhance their skills in agility, applying the competencies of Change Management, Time Management and Innovation. Conducting all activities in accordance with current regulatory and health care compliance guidelines. Ability to travel, primarily throughout assigned geography, with infrequent meeting travel outside of assigned geography. Travel for this role is estimated at 60%. Consistently demonstrating strategic territory planning and ability to build strong relationships within the territory. Consistently demonstrating strong scientific acumen Continuously supporting Department Operations and Internal Partners Qualifications: Required: A PharmD, PhD, MD, w/ 2+ years relevant neurology, immunology and/or neuromuscular experience is required. 2-3 years relevant work experience (clinical or research experience) is required. Preferred: Previous experience as an MSL Knowledge or experience in Neurology, Immunology, Rare Disease, or Neuromuscular Launch experience Significant experience giving presentations The anticipated base salary for this position is $115,000 and $197,800.This position is eligible for a company car through the Company's FLEET program. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans. Additional information can be found through the link below. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: Analytics Dashboards, Clinical Research and Regulations, Clinical Trials, Coaching, Critical Thinking, Customer Centricity, Data-Driven Decision Making, Data Reporting, Digital Culture, Digital Literacy, Medical Affairs, Medical Communications, Medical Compliance, Organizing, Product Knowledge, Relationship Building, Research and Development, Strategic Thinking, Technical Credibility The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Job Description Designs and implements studies and research projects at the direction of the Principal Investigator. Leads the collection, entry, and analysis of data. Develops and applies procedures for effectively collecting, deidentifying, entering, managing, and processing of both hard copy and electronic data for the effective and efficient reporting of results, conclusions, and evaluations of scientific data. Drafts grant proposals, manuscripts, budgets, and publications for internal and external medical and scientific peer review. As experience is gained, demonstrates ability to make innovative recommendations to Principal Investigator/Research Physician that furthers accomplishment of research objectives. May assist in providing training and guidance to students and residents engaged in Graduate Medical Education and otherwise, on research methods and processes. May engage in Quality Improvement projects. Demonstrates strict adherence to HIPAA laws regarding data confidentiality and security. Ensures compliance with appropriate guidelines, regulations and study protocols. Sets timelines and monitors progress to ensure timely completion of assigned tasks and project deliverables, prepares and maintains study documentation, and provides reports for internal and external monitoring. Requires Bachelor's Degree in data science, computer science, statistics, mathematics, biology, chemistry, or a healthcare field plus one year of research experience; advanced degree preferred. This position is located at Saint Luke's Hospital in Kansas City. Essential Duties and Responsibilities: Designs and implements studies and research projects at the direction of the Principal Investigator Develops and applies procedures for effectively collecting, deidentifying, entering, managing, and processing of medical and scientific data Assimilate research and quality objectives as directed by a SLHS Principal Investigator/Research Physician to develop tools and procedures for the collection and analysis of medical research data Implements research projects by drafting proposals, grants, research protocols, and developing budgets Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software Demonstrate competency in the use of electronic systems such as spreadsheets, statistical analysis tools, databases, and imaging and visualization modelling tools Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets Apply knowledge of health care, medical terminology, disease processes, research methods, and database management to collect, analyze, visualize, interpret, and report clinical data findings Demonstrate proficiency in Information Technology processes including hardware requirements and system programing Demonstrate excellent verbal and written communication in presenting research findings to SLHS Research Teams and contributing to the authorship of manuscripts Demonstrate knowledge of HIPAA and patient privacy regulations particularly as it pertains to the collection and handling of patient data used for research Demonstrate knowledge of US and International regulatory standards, and GCP guidelines for the conduct of human subject clinical research Job Requirements Applicable Experience: 1 year Bachelor's Degree Job Details Full Time Day (United States of America) The best place to get care. The best place to give care. Saint Luke's 12,000 employees strive toward that vision every day. Our employees are proud to work for the only faith-based, nonprofit, locally owned health system in Kansas City. Joining Saint Luke's means joining a team of exceptional professionals who strive for excellence in patient care. Do the best work of your career within a highly diverse and inclusive workspace where all voices matter. Join the Kansas City region's premiere provider of health services. Equal Opportunity Employer.

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

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

Student candidates must declare a major in either biology, chemistry, or health care. Duties may include but are not limited to: Assisting faculty in performing research on specified projects. Willingness to learn protocols and techniques required by the faculty. Working alongside or under the supervision of faculty to solve research questions using the scie4ntific method. Supporting the FINS Department: Supporting any technological integration. Experience or interest in promoting research activities via social media and marketing research projects. Management of Research Data and Collection: Organizing data materials in an organized manner using a notebook or log. Meeting with faculty mentor and other students on a regular basis (one/twice monthly) to discuss research results and recommended avenues to take. Preparing solutions, etc., as part of inventory taking process. Maintaining a workspace free of clutter and unnecessary debris. Skills Required: Be curious about research project. Read and ask questions of published rese4arch similar to project assigned. Enthusiastic to learn new materials/protocols. Good verbal and written communication skills. Ability to put together a presentation on research findings and present at a formal meeting. Academic Standing: All interested students must be in good academic standing in their major, with a 3.00 or above GPA. Develop skills in strategic planning, time management, and academic success within an educational environment. Enhance professional communication, collaboration, and networking capabilities through interactions with internal and external stakeholders. Gain practical experience in managing academic events, student engagement programs, and community outreach initiatives. Cultivate critical-thinking and problem-solving skills relevant to educational leadership roles. Apply ethical decision-making practices and demonstrate professional responsibility in assigned tasks. Knowledge, Skills and Abilities: Ability to handle information of a sensitive and confidential nature in the utmost professional manner. Demonstrate a high level of professionalism, initiative, resourcefulness, and personal accountability. Effective analytical and decision-making skills. Excellent communication (oral and written), organizational, and time management skills. Effective interpersonal skills and ability to work with diverse constituents. Attention to detail and adaptability to a changing environment is extremely important as well as dependability. Moderate physical activity. Requires handling objects of average weight up to fifty (50) pounds or standing and/or walking for more than four (4) hours per day. Minimum Qualifications: Current undergraduate (Junior/Senior level) enrolled in AI, Computer Science, Cybersecurity, Data Science, Management Information Systems or related fields. Demonstrated effective interpersonal, written and oral communication skills. Demonstrated ability to interact with large groups and individuals at all work levels. Demonstrated proficiency in the use of computers and software applications. Demonstrated proficiency in setup Pearson My Labs LTI 1.3 Deep Links for Blackboard Ultra course access. Demonstrated proficiency in setting up uCertify LTI 1.3 Deep Links for Blackboard Ultra course access. Demonstrated proficiency in setting up uCertify LTI 1.3 Deep Links for Blackboard Ultra course access. A record showing commitment to customer service and the application of appropriate flexibility in response to issues and opposing points of view. Preferred qualifications: Experience or participation in Hackathon Competition Florida Memorial University is an Equal Employment Opportunity Employer. In compliance with the American Disabilities Act (ADA), those functions of the job which are identified essential are required to be performed with or without reasonable accommodations. Requests to facilitate the performance of essential functions will be given careful consideration.

[What the role is] The Government Technology Agency (GovTech) is the lead agency driving Singapore's Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government's capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions. GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore's vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] At Ministry of Trade & Industry (MTI), we are always on the lookout for high performing individuals who share our aspiration of making Singapore a conducive environment for entrepreneurs and enterprises to tap its diverse opportunities. As a Data Science Manager (Assistant Director / Staff Data Scientist), you will drive the productisation and operationalisation of AI models and applications used across the ministry, our departments and statutory boards. You will lead technical implementation, system integration, and performance engineering - while strengthening our internal AI platform and tooling. Our Team You will be part of the Ministry Family CIO Office (MFCO), which leads MTI's digital product development, innovation, and platform strategy. MFCO works closely with policy and corporate divisions to design and deliver meaningful, scalable digital solutions across the ministry. This role focuses on leading the evaluation, development/ configuration and optimisation of generative AI and LLM solutions for policy making, knowledge management, employee productivity, Government-to-Business (G2B) service delivery, and developing the infrastructure needed to deploy them safely and effectively. You will also contribute to MTI's AI strategy, portfolio and uplifting our functional capabilities and the competencies of MTI officers so that they are confident in using AI in their everyday work. Roles & Responsibilities: AI Strategy and Portfolio Work closely with Strategy & Planning teams to define and maintain the AI strategy for MTI and the Ministry Family, ensuring the plan is technically feasible. Work closely with stakeholders and product managers to manage the AI portfolio and supporting strategies for structured and unstructured data. Create long-term technical plans and roadmap for the AI portfolio. Update it regularly to meet future business needs and infrastructure requirements. AI Productisation and System Integration Lead data scientists/ engineers to develop prototypes which address business problems and promote them into production-ready solutions. Design and deploy scalable AI pipelines that support the real-time integration of LLMs and ML models into internal and external digital platforms. Ensure systems are robust, maintainable, and tuned for performance, latency, and cost-effectiveness. AI Infrastructure and Optimisation Establish the AI technology stack for MTI and the Ministry Family ensuring alignment with central services and local infrastructure. Lead efforts to optimise models for inference speed, memory usage, and production readiness. Oversee the benchmarking and evaluation of AI solutions, models and frameworks. Engineering Culture and Tooling Establish best practices in model deployment, testing, and observability. Contribute to reusable components, libraries, and infrastructure that support other AI and product teams. Mentor engineers on best practices for AI evaluation, model reliability, and technical excellence. [What we are looking for] Engineering Leadership- Lead implementation across model deployment, observability, and infrastructure design with a focus on reliability and performance. Performance and Optimisation- Improve model inference speed and cost efficiency while ensuring high-quality outputs. Infrastructure Tooling- Build infrastructure to support the strategy of MTI and drive synergies out of the diverse needs and maturity in the Ministry Family. Collaboration and Execution- Work closely with business owners, product managers, data scientists/ engineers and data teams to deliver real-world, production-ready solutions. Required Qualifications and Experience Right candidate must be technically hands on and experience in all parts of the technology stack: client side, back end, infrastructure, performance, data, and others. Worked on the full stack development and built end-to-end systems in a digital product environment including user interfaces, APIs, backend systems, and database systems. Very well versed in the software development using Agile, modular design, pair programming, software automation, continuous integration, continuous delivery, and infrastructure automation. Experience building and deploying ML models in production environments (e.g. REST/gRPC endpoints, containerised models, model serving platforms). Proficiency in Python and experience with ML/AI frameworks. Experience with evaluation frameworks, CI/CD pipelines, and monitoring stacks. Strong systems thinking and performance engineering mindset. Familiarity with techniques for safe deployment, evaluation metrics, model guardrails, and A/B testing in ML systems. Have a strong sense of what it means to be a technical leader, particularly as it relates to the suite of soft skills beyond just your technical chops. Passion towards engineering excellence; you deeply understand that software engineering is a team sport, and you take pride in the craftsmanship aspect of software engineering. The ability to guide a team to achieve important goals together. Minimally 5+ year of development experience in machine learning engineering, or AI infrastructure roles; and 2+ years of experience coaching developers, helping them enhance their performance and grow their careers. Join Us If you're excited to turn cutting-edge AI into robust, production-ready systems that power the future of education - we'd love to hear from you. Join us to build AI solutions that matter for the next generation of learners, educators, and public service! GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe it is key to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. We champion flexible work arrangements (subject to your job role) and trust you to manage your time to deliver your best. Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

Responsibilities: Engage in scientific exchange with expert healthcare professionals as part of the Medical Affairs team. Participate in Medical Affairs project assignments. Communicate scientific concepts effectively to multiple audiences - verbally, graphically, and in writing. Contribute to key department functions (e.g., medical information) and inter-departmental initiatives. Qualifications: Doctoral degree required (PhD, PharmD, MD) Prior experience in psychiatry-related field required. Preference given to those with pharmaceutical industry experience in schizophrenia and mood disorders Previous experience (2+ years) as an MSL or in Medical Affairs strongly preferred Experience in clinical research and/or direct patient care ideal Exemplary written and verbal communication skills, with the ability to present complex information clearly to a variety of audience types Adept at building and maintaining relationships with others Proficient in the use of Microsoft Office applications Demonstrated ability to adapt within a dynamic environment Willingness to travel (75%) and easy access to a major metropolitan airport Must be able to perform the essential functions of the position, with or without reasonable accommodation; however, reasonable accommodations will be provided for qualified individuals with disabilities unless doing so would impose undue hardship. The total compensation package for this position will also include incentive compensation and benefits such as health insurance, unlimited paid time off, parental leave, a 401k matching program, and other benefits to its employees. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, gender identity, sexual orientation, protected veteran status, or any other characteristic protected by law. If you reside in a state or locality with enacted pay transparency laws, you are entitled to request and receive additional details regarding compensation and benefits. For assistance, please contact us at 202-524-8238 between 8:00 AM and 5:30 PM ET, Monday through Friday.

Application Instructions: External Applicants: Please upload your resume on the Apply screen. Your application will automatically populate your resume details, and you may verify and update data on the My Information page. IMPORTANT: Please review the job posting and load ALL documents required in the job posting to the Resume/CV document upload section at the bottom of the My Experience application page. Use the Select Files button to add multiple documents including your Resume/CV, references, cover letter, and any other supporting documents required in the job posting. The "My Experience" page is the only opportunity to add your required supporting document attachments. You will not be able to modify your application after you submit it. Current Mercer University Employees: Apply from your existing Workday account. Do not apply from the external careers website. Log in to Workday and type Jobs Hub in the search bar. Locate the position and click Apply. Job Title: Assistant/Associate Professor of Religion and Science Department: Religion College/Division: College Of Liberal Arts And Sciences Primary Job Posting Location: Macon, GA 31207 Additional Job Posting Locations: (Other locations that this position could be based) Job Details: The Columbus Roberts Department of Religion in the College of Liberal Arts and Sciences seeks applications for a tenure-track Assistant or Associate Professor of Religion with primary focus on Religion and Science. We welcome candidates in religious studies with expertise in one or more of the following areas: health and healing, natural sciences, social sciences, history of medicine, and history of science. Responsibilities: Responsibilities include teaching 21 hours per academic year at the undergraduate level. Fifteen of those hours will be in religion courses that fulfill a General Education requirement, 3 hours will be in an upper-level religion class in one's discipline, and the remaining hours will be in one of our cross-college programs, including, but not limited to: Integrative Studies, Great Books, and Women's and Gender Studies. In addition, the candidate will participate fully in the collaborative work of the department, including advising students and developing new upper-level courses in the discipline. As with all faculty members, the successful candidate will be expected to continue a research agenda and provide service to the college, university, and academy. The expectation is 60% teaching, 20% scholarship, and 20% service. Qualifications: A Ph.D. degree in Religion or related area is required. Exceptional ABD candidates will be considered so long as the Ph.D. is completed by August 1, 2026. A background in liberal arts education and membership in Phi Beta Kappa are considered added advantages. Background Check: Selection of the final candidate is contingent upon successful completion of a criminal background check. Required Documents: Cover Letter, CV, Teaching Dossier, and a list of three professional references with contact information. Special Instructions to Applicants: Candidates should submit an online application and attach (1) cover letter, (2) current CV, (3) teaching dossier including a statement of teaching philosophy and teaching evaluations, and (4) the name and contact information for three professional references. Finalists will send, upon request, unofficial graduate transcripts (redact any personal or private information including, but not limited to, social security number, birthdate, race, or gender, before submitting). The successful candidate must submit official transcripts prior to employment. Review of applications will begin November 15, 2025 and will continue until the position is filled. About Mercer University Founded in 1833, Mercer University is a distinguished private institution recognized for its commitment to academic excellence, leadership development, and community engagement. With campuses across Georgia, Mercer's twelve schools and colleges offer a wide range of undergraduate, graduate, and professional programs. The university cultivates a close-knit, student-centered environment where innovation, service, and personal growth are deeply valued. Mercer's employees are at the heart of its mission, dedicated to advancing innovation, supporting student success, and strengthening both our local and global communities through service. At Mercer, we believe in the power of relationships and the importance of in-person collaboration. Accordingly, our employees are expected to serve in-person as it fosters real-time problem solving, mentoring, and the meaningful connections that strengthen both our work and service to our students and the broader university community. Why Work at Mercer University Mercer University offers a variety of benefits for eligible employees including comprehensive health insurance (for self and dependents), generous retirement contributions, tuition waivers, paid vacation and sick leave, technology discounts, schedules that allow for work-life balance, and so much more! At Mercer University, a Bear is more than a mascot: it's a frame of mind that begins with a strong desire to make the most out of your career. Mercer Bears do not settle for mediocrity or the status quo. If you're seeking an environment where your passion and determination are embraced, then you want to work at Mercer University. For more information, please visit: https://hr.mercer.edu/prospective/ Scheduled Weekly Hours: 40 Job Family: Faculty Social Sciences EEO Statement: EEO/Veteran/Disability

Ardelyx is a publicly traded commercial biopharmaceutical company founded with a mission to discover, develop and commercialize innovative first-in-class medicines that meet significant unmet medical needs. Ardelyx has two commercial products approved in the United States, IBSRELA (tenapanor) and XPHOZAH (tenapanor). Ardelyx has agreements for the development and commercialization of tenapanor outside of the U.S. Kyowa Kirin commercializes PHOZEVEL (tenapanor) for hyperphosphatemia in Japan. A New Drug Application for tenapanor for hyperphosphatemia has been approved in China with Fosun Pharma. Knight Therapeutics commercializes IBSRELA in Canada. Position Summary: The Senior Medical Science Liaison (Senior MSL) serves as a field-based advanced technical, scientific, and medical expert, answers product-related questions from HCPs, and provides clinical/scientific presentations and medical education programs. The Senior MSL is responsible for developing, coordinating, and assuring implementation of Ardelyx's corporate, scientific, and clinical strategies with Key Opinion Leaders (KOLs) within academic, clinical, and healthcare organizations. These scientific exchanges will support and/or expand current therapeutic concepts, as well as ensure the safe and effective utilization of Ardelyx's assets. The Senior MSL builds upon the foundational responsibilities of the MSL by providing advanced scientific engagement, deeper strategic input, and informal leadership across the Field Medical Affairs function. The Senior MSL is recognized as a subject matter expert, mentor to peers, and key contributor to national field medical initiatives as required, playing an important role in aligning field insights with broader medical strategy. Responsibilities: Serve as the primary field-based medical liaison in providing medical information and scientific exchange to external/internal stakeholders Identify, establish, and manage collaborative relationships with local, national, and regional medical/scientific leaders/investigators to identify and address scientific needs Present healthcare professionals and decision makers with accurate, unbiased, balanced, and timely answers to unsolicited requests for information in the therapeutic field responsible Establish scientific and clinical relationships with thought leaders and academic/community centers to expand research and educational opportunities Engage in non-product discussions regarding scientific topics (e.g., disease state, diagnosis, epidemiology, unmet medical need, population health, etc.) Prioritize and work effectively in a self-directed manner in a constantly changing environment, including ability to obtain, integrate and communicate HCP feedback Participate in advisory boards and other company meetings Attend key medical and scientific congresses and conferences (local, regional and national) as needed Lead department-wide projects and participate in cross-functional activities that serve strategic initiatives Provide strategic insights by maintaining expertise in the therapeutic area and related fields to effectively communicate scientific insights and support strategic objectives Monitor the competitive environment for advances and trends in the therapeutic area, including new treatment management and therapies, competitive products and provide feedback to internal stakeholders on specific initiatives of competitors Serves as peer leader to mentor and coach new or junior MSLs, supporting onboarding, training, and field excellence Qualifications: Doctorate degree (PharmD, PhD, MD, DNP, etc) in biological sciences with 5+ years of MSL Medical Affairs expertise within the therapeutic area or equivalent experience Advanced Medical/Scientific masters degree (NP, PA) with combined extensive clinical expertise will be considered Ability to apply technical expertise and solutions to diverse/individualized situations Critical data analysis skills Excellent communication & presentation skills Networking skills and the confidence to interact with senior experts on a peer-to-peer level Demonstrated ability to integrate and work in cross functional network/matrix Prior experience in mentorship of medical science liaisons Demonstrated project management ability Knowledge of FDA and OIG requirements, as well as the PhRMA Code, including regulations governing compliant scientific exchange Ability to travel locally, regionally, and nationally as requested/required; up to 70% travel Valid driver's license The anticipated annualized base pay range for this full-time position is $185,000-$232,000. Ardelyx utilizes industry data to ensure that our compensation is competitive and aligned with our industry peers. Actual base pay will be determined based on a variety of factors, including years of relevant experience, training, qualifications, and internal equity. The compensation package may also include an annual bonus target and equity awards, subject to eligibility and other requirements. Ardelyx also offers a robust benefits package to employees, including a 401(k) plan with generous employer match, 12 weeks of paid parental leave, up to 12 weeks of living organ and bone marrow leave, equity incentive plans, health plans (medical, prescription drug, dental, and vision), life insurance and disability, flexible time off, annual Winter Holiday shut down, and at least 11 paid holidays. Ardelyx is an equal opportunity employer.

We are seeking a strategic, technically strong Director of Decision Science to lead our Data Science and Business Intelligence teams. In this role, you will set the vision, guide a high-performing team, and drive Data Science and BI initiatives that influence decisions across the business. You will partner with cross-functional leaders to solve high-impact problems, elevate our self-serve BI capabilities, and embed data science into core business operations. This role reports to the VP of Data & Analytics. What You'll Do Vision and Strategy Leadership: Define and own the multi-year Data Science and BI strategy and roadmap, ensuring direct alignment with enterprise priorities and quantifiable business outcomes (e.g., revenue growth, operational efficiency) Team Leadership & Development: Recruit, mentor, and manage a high-performing, multi-disciplinary team of Data Scientists, BI Analysts, and BI Engineers, establishing a culture of innovation, operational excellence, and continuous professional development Strategic Business Partnership: Act as the primary analytic partner to business unit leaders (Sales, Product, CS, Marketing, etc.) to define and deliver high-impact, decision-support data products, including predictive models and AI-powered self-service insights Analytical Translation: Translate complex, ambiguous business challenges into structured analytical strategies, guiding teams to deliver high-quality, decision-ready solutions Agile Delivery & Model Lifecycle: Drive an agile, iterative delivery process and oversee end-to-end predictive model lifecycle management, from ideation and validation through scalable deployment, monitoring, and optimization Executive Communication & Storytelling: Communicate clear, actionable, and data-driven recommendations to all audiences, including senior and executive leadership, shaping strategy through compelling, tailored narratives Data Platform Collaboration: Collaborate closely with Data Engineering and Analytics Engineering to design and scale enterprise data assets, features, and metrics that meet evolving analytical needs Governance & Responsible AI: Establish and enforce best practices for metrics design, experimentation, and data governance. Champion data ethics, compliance, and responsible AI standards to promote transparency and trust Enterprise Data Strategy: Partner with leaders across Data Platform, Data Product Management, and Data Governance to develop and execute the overarching Enterprise Data Strategy What You'll Need Minimum Qualifications 8+ years of experience in Data Science, Machine Learning, or related analytical fields, including 3+ years leading high-performing technical teams Advanced degree (MS/PhD) in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, or similar) Demonstrated ability to translate ambiguous business problems into analytical frameworks and deliver measurable business impact Experience in SaaS or B2B environments, especially where data products directly enable go-to-market, customer success, or product strategy Hands-on experience deploying and operating ML models in production, including monitoring, optimization, and lifecycle management Preferred Qualifications Deep expertise in statistical modeling, causal inference, experimentation design, and applied analytics to drive business decisions Strong familiarity with modern data ecosystems, including cloud data warehouses (Snowflake, BigQuery), data modeling best practices, orchestration tools, enterprise BI platforms (e.g., Looker, Tableau, Sigma), and MLOps/ML lifecycle platforms Experience building or applying NLP, recommendation engines, forecasting models, or other advanced analytical solutions Strong programming skills in Python and proficiency with modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Demonstrated ability to design, govern, and scale standardized metrics, dashboards, and self-service BI workflows across business functions Exceptional communication and stakeholder-management skills, with the ability to influence senior leaders and simplify complex concepts for diverse audiences Proven success in hiring, developing, and scaling technical talent across Data Science and BI disciplines Working Conditions & Travel Requirements Ability to travel to meet with customers and/or key stakeholders, product teams in other Workiva locations (up to 25%) Reliable internet access for any period of time working remotely, not in a Workiva office How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1