Title: UTS - Temporary Statistician Investigator at UNC Chapel Hill Location: Chapel Hill United States DepartmentHR UTS Partnership Career AreaResearch Professionals Position TypeTemporary Staff (SHRA) Position TitleUTS - Temporary Statistician Investigator at UNC Chapel Hill Position Number Vacancy IDS027732 Full-time/Part-timeFull-Time Temporary Hours per week Work Schedule Hybrid (Monday/Tuesday/Wednesday in office; Thursday/Friday remote) Position Location Hiring Range$46/hour Proposed Start Date07/06/2026 Estimated Duration of Appointment6 months not to exceed 11 months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit Position Summary The department at Chapel Hill is looking for a data analyst/statistician at or above the master’s degree level, to work in a collaborative team of investigators and perform statistical analyses to gain new discoveries to help trauma survivors. The primary focus of the position will be to assist with analyses of different longitudinal data collected as part of the ~$35 million dollar AURORA study. This study, funded by the National Institute of Mental Health and private and foundation partners, enrolled individuals presenting to a large network of emergency department in the immediate aftermath of trauma. Study participants were followed longitudinally for one year, beginning in the hours after trauma, using sophisticated adaptive sampling methods and state-of-the-art battery of self-report, neurocognitive, physiologic, digital phenotype, psychosocial, neuroimaging, and genomic markers. In addition to analyses of these data, the statistician will also analyze data from varied longitudinal data collected as part of many other past and current R01 studies going on in the institute, as well as the analysis of clinical trial data. Minimum Education and Experience Requirements - Master’s degree in a social science, applied science, clinical science, epidemiology, or closely related discipline required; PhD preferred. Foreign equivalent degrees will be considered. - Candidates with a Master’s degree plus extensive relevant experience in advanced quantitative analysis will also be considered in lieu of a PhD. - Demonstrated experience conducting advanced statistical analyses, with the ability to independently learn and apply new analytical methods as needed. - Experience with structural equation modeling (SEM) strongly preferred. - Proficiency in statistical programming and analysis software, including R; experience with Mplus preferred. - Demonstrated scientific writing ability, including contributing to peer-reviewed manuscripts, technical reports, or research publications. - Experience working in clinical, epidemiological, or multidisciplinary research environments preferred. - Proven ability to collaborate effectively as part of interdisciplinary teams. - Strong organizational skills with the ability to manage multiple tasks, datasets, and project timelines effectively. - Ability to analyze complex longitudinal data collected across research studies, including cleaning, structuring, and interpreting multi-timepoint datasets. - Experience with bioinformatics research, including working with biological, clinical, or molecular datasets and applying computational or statistical methods to interpret results. Management Preferences - 2–5+ years of experience in quantitative research, advanced statistical analysis, or applied data science in academic, clinical, epidemiological, or research settings preferred. - Candidates with a Master’s degree plus extensive relevant experience in advanced quantitative analysis will also be considered in lieu of a PhD. Special Physical/Mental Requirements N/A Campus Security Authority Responsibilities Special Instructions UNC-Chapel Hill and NC State University are collaborating to extend NC State’s internal temporary staffing function as a shared service for both institutions. Under this partnership, UTS provides exclusive temporary staffing services to UNC-Chapel Hill and NC State, employing candidates to work as temporary employees in a variety of jobs on both campuses. If you are interested in applying to this position please click on the following link: Temporary Employment Policies http://hr.unc.edu/policies-procedures-systems/spa-employee-policies/temporary-employment/relevant-policy-information-for-temporary-employees/ Posting Contact Information Office of Human Resources Contact Information If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to employment@unc.edu Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status. Equal Opportunity Employer Statement The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

Title: Professional - Data Scientist IV Location: Home, Arkansas (Remote) Job#: 3039261 Job Description: Role Overview This organization is seeking a Lead Data Scientist to join a team of qualified, diverse professionals supporting large-scale modernization efforts. The ideal candidate will serve as a technical leader in applying advanced data science, natural language processing, and statistical methodologies to extract, classify, and validate business rules embedded within legacy claims processing systems. This role is critical in enabling transformation initiatives by ensuring the accurate translation of logic into modern, vendor-neutral rule frameworks. Key Responsibilities - Applying advanced data science and machine learning techniques to analyze, classify, and interpret business rules extracted from legacy claims processing systems. - Designing, developing, and validating NLP models for automated parsing of COBOL, ALC, and related legacy code structures. - Performing latent semantic analysis, topic modeling, and other text analytics methods on historic documentation to derive, cluster, and verify business logic. - Leading the statistical validation of extracted rules to ensure accuracy, reproducibility, and alignment with known business processes. - Supporting the development of a vendor-neutral rules repository by defining data models, ensuring data quality, and advising on scalable ingestion workflows. - Collaborating closely with software engineers, legacy system SMEs, enterprise architects, and modernization teams. - Providing technical leadership on data science best practices, model governance, reproducibility, and deployment pipelines. - Evaluating new AI/ML technologies and proposing approaches that improve throughput, accuracy, and automation. - Communicating analytical findings and model behavior to technical and non-technical stakeholders. Required Qualifications Education & Experience: - Minimum of 8 years of experience with a BS/BA degree; or 6 years with an MS/MA; or 3 years with a PhD. - Demonstrated experience leading large-scale data science, NLP, or machine learning projects in enterprise or federal environments. - Experience analyzing or modernizing legacy systems (COBOL, ALC, mainframe environments) using data-driven or automated approaches. - Knowledge of agile development methodologies and experience contributing within multidisciplinary teams. - U.S. Citizenship is required. Technical Skills: - Hands-on expertise with NLP techniques including parsing, embeddings, semantic similarity, classification, and information extraction. - Proficiency with Python and common data science/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, spaCy, Hugging Face). - A strong statistical background including hypothesis testing, model validation, and performance evaluation methods. - Proven ability to translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders. Preferred Qualifications - Experience supporting modernization efforts within federal healthcare programs. - Familiarity with claims processing rules or policy structures. - Experience building or contributing to knowledge bases or rule repositories. - Expertise in modernizing legacy systems or supporting migration from mainframe codebases to cloud-native architectures. - Experience applying AI/ML to large government datasets or regulated healthcare environments. - Certifications in data science, AI/ML engineering, or cloud platforms (AWS, Azure, GCP). - Prior experience leading data science teams or mentoring junior data scientists on federal programs. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.apexsystems.com/privacy-policy Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide. Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application. UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.

Title: Senior Data Scientist Location: San Mateo United States At Fanatics Commerce, we’re more than just a leader in licensed sports merchandise – we’re a team united by a relentless passion for our fans and a commitment to innovation. We live by our BOLD Leadership principles: We Build Championship Teams, we’re Obsessed with Fans, we embrace a Limitless Entrepreneurial Spirit, and we approach every challenge with a Determined and Relentless Mindset. If you’re ready to contribute to a dynamic, fast-paced environment that thrives on collaboration and growth, we want you to be part of our team. Role Overview We are seeking a Senior Data Scientist to contribute to Marketing Data Science at Fanatics Commerce. This is a high-impact, high-visibility role focused on improving marketing effectiveness through data science and machine learning. You will work on key modeling areas such as purchase propensity, digital ad optimization, customer routing, incrementality, and personalization - helping to build and deploy models that drive measurable business outcomes. The ideal candidate has a strong track record of applying data science to marketing or customer-focused problems and delivering actionable insights. You bring solid technical expertise, good business intuition, and the ability to translate ambiguous problems into structured analyses and scalable solutions. In this role, you will partner closely with stakeholders across Marketing, Product, Engineering, CRM, and Design, contributing through hands-on modeling, thoughtful analysis, and clear communication of results. How You Will Make an Impact: - Work on data science projects across marketing and customer domains, including personalization, lifecycle optimization, retention, and engagement - Build, validate, and deploy machine learning and statistical models for use cases such as propensity modeling, segmentation, and LTV - Partner with cross-functional stakeholders (Marketing, Product, CRM, Engineering) to understand business problems and translate them into data science solutions - Contribute to the end-to-end model development lifecycle, including data exploration, feature engineering, modeling, evaluation, and deployment - Analyze large and complex datasets to identify trends, opportunities, and areas for improvement in customer experience and marketing performance - Apply appropriate statistical methods and experimentation techniques to evaluate model performance and business impact - Collaborate with engineering teams to ensure models are production-ready and integrated into downstream systems - Communicate findings and recommendations clearly to technical and non-technical stakeholders - Contribute to team-level best practices in modeling, code quality, and documentation - Support and mentor junior team members through collaboration and knowledge sharing What You Bring to the Team: - BS or higher in a technical or quantitative field (Computer Science, Operations Research, Statistics, Economics, etc.) - 5+ years of hands-on work in marketing data science or related areas - Experience building and deploying machine learning models in production environments - Strong foundation in statistics and machine learning - Proficiency in Python and SQL, with experience working on large datasets - Experience working with customer or marketing-related data (e.g., personalization, segmentation, LTV, or experimentation) - Ability to work on moderately complex problems with some guidance - Strong communication and collaboration skills BONUS POINTS: - Experience with marketing analytics or customer lifecycle use cases - Familiarity with experimentation and measurement (e.g., A/B testing, basic causal inference concepts) - Experience working with cross-functional teams across Marketing, Product, and Engineering - Experience with large-scale data processing tools (e.g., Spark) - Track record of delivering business impact through data science projects At Fanatics, we value transparency and honesty. If you don’t meet every single requirement, that’s okay – we still want to hear from you! We believe in the power of diverse experiences and talents. If you’re excited about the role and confident that you can contribute, don’t hesitate to apply. We’re genuinely interested in how your unique skills and perspective can help us build something amazing together. The salary range for this position is $170,000 - $210,000, which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. Where you’ll work and what’s required - Location: San Mateo, CA Office - Hybrid work environment flexibility, with Tuesdays, Wednesdays, and Thursdays in office; Mondays and Fridays remote. - Ability to travel up to 10% of the time for partner meetings, events, and other related activities. What’s in it For You: - Culture: Join a team where you're surrounded by top-tier talent, driven by a shared passion to relentlessly enhance the fan experience. With a focus on collaboration, support, and continuous development, you’ll be empowered to help shape a culture that celebrates both individual and team successes. - Benefits: We provide a wide range of health, financial, legal, and development assistance, including wellness programs with fitness and weight management partners, paid maternity paternity leave, and infertility treatment. Additionally, we offer flexible time off to help you recharge, along with a competitive 401k plan to support your financial future. At Fanatics, we’re dedicated to supporting you in all aspects of work and life. About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site. Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Manchester United, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do: · Build Championship Teams · Obsessed with Fans · Limitless Entrepreneurial Spirit · Determined and Relentless Mindset Job Info - Posting Date06/27/2026, 02:10 AM - Locations 1 Franklin Parkway, San Mateo, CA, 94403, US(Hybrid) - Job ScheduleFull time - Regular or TemporaryRegular

Job Title: LCMS Lead Scientist Location: Madison, WI, United States Job Description: Job Description The LCMS Lead Scientist serves as the primary scientific point of contact for bioanalytical studies of moderate complexity, providing full scientific oversight from method readiness and validation through execution, data review, and final reporting. This role focuses on leading and overseeing studies rather than performing hands-on laboratory work, ensuring that all bioanalytical activities meet internal, client, and regulatory expectations under GLP or GCP guidance. The LCMS Lead Scientist signs off on studies as the Responsible Scientist/Principal Investigator, makes critical decisions on data appropriateness, and coordinates closely with internal teams, external clients, and regulators for both clinical and pre-clinical studies. Responsibilities - Lead bioanalytical LC-MS/MS studies as the Responsible Scientist/Principal Investigator, maintaining single-point accountability for all activities conducted at the test site. - Oversee the full lifecycle of bioanalytical studies, ensuring methods are ready, validated, executed, and documented in accordance with GLP or GCP requirements and applicable regulatory guidance. - Review and approve raw LC-MS/MS data, ensuring data integrity, scientific accuracy, and regulatory compliance before final reporting. - Sign off on study reports, assuming responsibility for the scientific content, conclusions, and regulatory readiness of each study. - Develop, review, and approve study protocols and sample analysis plans, ensuring they align with client expectations, regulatory standards, and internal quality requirements. - Provide scientific oversight for method development, validation, and sample analysis activities, ensuring methods are suitable for targeted LC-MS/MS quantitation of specific biomarkers or molecules. - Serve as the primary scientific point of contact for assigned studies, communicating effectively with clients, internal stakeholders, and regulatory bodies as needed. - Engage in discussions with regulators for clinical and pre-clinical studies, representing the scientific strategy, data, and outcomes of assigned projects. - Indirectly coach and guide a team of up to approximately 0–20 team members involved in method development, validation, sample analysis, data processing, and report writing. - Coordinate the work of method development chemists, validation chemists, and sample analysis staff to ensure timelines, quality standards, and study objectives are met. - Ensure appropriate communication among all study contributors, including lab staff, project management, quality assurance, and clients. - Monitor study progress, anticipate potential issues in LC-MS/MS workflows, and make timely decisions to address typical LCMS challenges and data review issues. - Ensure that bioanalytical work adheres to relevant regulatory guidance (such as ICH and 28 BMV guidance) and internal standard operating procedures. - Contribute to method validation readiness assessments and ensure that validation activities meet regulatory and client expectations. - Review and approve documentation related to method validation, sample analysis, and study reports, ensuring completeness and clarity. - Support continuous improvement of bioanalytical processes by identifying opportunities to enhance data quality, efficiency, and compliance. - Collaborate across sites and with external clients, including occasional travel for cross-site meetings, client visits, or conferences. - Manage a workload that may include multiple clients and projects simultaneously, adjusting priorities based on sample volumes and business needs. Essential Skills - B.S. or Master’s degree in Life Sciences such as Chemistry, Biology, Biochemistry, or a closely related field. - 2–5 years of hands-on experience working with LC-MS, with at least 2 years of direct experience operating mass spectrometers. - Demonstrated experience in reviewing and interpreting mass spectrometry data, particularly LC-MS/MS data. - Proven experience as a Bioanalytical Lead Scientist, Responsible Scientist, or Principal Investigator in a bioanalytical setting operating under GLP or GCP regulations. - Full study-level responsibility in a bioanalytical contract research environment, including signing as the responsible scientist on studies. - Experience in the bioanalytical CRO regulated space, with a strong understanding of GLP and/or GCP as central guidance. - Targeted LC-MS/MS experience focused on quantitative analysis of specific biomarkers or molecules. - Experience with small molecule bioanalysis using LC-MS/MS. - Strong competency in data review and approval processes, including verification of raw data and final reports. - Demonstrated ability to develop or contribute to study protocols and sample analysis plans. - Experience ensuring method validation readiness and overseeing method validation activities. - Familiarity with regulatory guidance and expectations for bioanalytical method validation and sample analysis, including ICH or 28 BMV guidance and FDA internal standard practices. - Project management skills sufficient to oversee multiple concurrent studies and coordinate cross-functional teams. - Ability to communicate effectively with regulators, clients, and internal stakeholders regarding clinical and pre-clinical bioanalytical studies. - Comfort operating in a global bioanalytical services environment with cross-site collaboration. - For Lead Scientist 1: approximately 1–5 years of experience, typically including at least 2 years in the laboratory before moving into a lead role. - For Lead Scientist 2: prior experience serving as a Bioanalytical Principal Investigator with approximately 7–9 years of total experience. Additional Skills & Qualifications - Experience using Sciex mass spectrometry platforms or comparable LC-MS/MS systems; Sciex experience is preferred but other brands are considered. - Familiarity with laboratory information management systems (LIMS). - Experience with analysis software such as Analyst or similar LC-MS/MS data processing tools. - Exposure to Nautilus or similar laboratory data management tools. - Working knowledge of GLP and GCP regulatory frameworks and how they apply to bioanalytical studies. - Awareness of FDA expectations and internal standard practices for bioanalytical method validation and sample analysis. - Experience in a central laboratory bioanalytical environment is advantageous. - Ability to indirectly coach and mentor scientific staff, providing guidance on study execution, data review, and documentation. - Comfort managing a variable workload that may include multiple clients and projects, with differing project sizes and sample volumes. - Awareness of GMP is acceptable, provided GLP/GCP experience and focus remain central. - Interest in professional growth within a successful and expanding bioanalytical department, with opportunities for advancement (e.g., progression from Lead Scientist 1 to Lead Scientist 2). Work Environment The LCMS Lead Scientist works in a hybrid setting within a bioanalytical laboratory organization. The role is primarily office-based and focused on data review, study oversight, and coordination rather than routine hands-on bench work, but is closely integrated with a laboratory environment. The broader bioanalytical team includes around 100 employees, with approximately 60 chemists and a mix of associate lead scientists and lead scientists. The immediate team is growing from 16 to 18 lead and associate lead scientists in a central lab location. The position requires being local, with an expectation of working onsite 2–3 days per week on a consistent weekly schedule, while performing other responsibilities remotely as appropriate. Workload is driven by sample volumes rather than fixed project structures; the Lead Scientist may oversee multiple clients and projects at once, ranging from a single project per client to many projects for a large client. The environment emphasizes collaboration across method development, validation, sample analysis, and reporting functions, with all staff working together to ensure high-quality bioanalytical data. Occasional travel (up to approximately 10%) may be required for cross-site collaboration, client visits, or conferences, though such travel is typically infrequent and short in duration. The organization operates under GLP/GCP guidance with a strong focus on regulatory compliance, data integrity, and scientific excellence. The culture supports growth and expansion, with ongoing hiring driven by increasing workloads and departmental success. Employees benefit from a performance-based merit increase program, a flexible time off policy that emphasizes trust and productivity, a set of six company holidays, and access to retirement and equity participation programs such as a 401(k) with company match and an employee stock purchase plan. The overall work environment is professional, collaborative, and supportive of both scientific rigor and work-life balance. Job Type & Location This is a Permanent position based out of Madison, WI. Pay and Benefits The pay range for this position is $85000.00 - $110000.00/yr. Medical Plan* No Charge Laboratory Testing Benefit and physical therapy Dental Plan Vision Plan Flexible Spending Accounts (FSAs) Health Care FSA Dependent Care FSA Disability Plan Short Term Disability (STD) Long Term Disability (LTD) Life and Accidental Death and Dismemberment (AD&D) Insurance Plans Basic Life Optional Life Dependent Life Optional AD&D Employee Stock Purchase Plan (ESPP) Workplace Type This is a hybrid position in Madison,WI. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: 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. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.