Role Description - Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices. - Design challenging data science tasks and write accurate, well-structured analytical solutions. - Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor. - Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning. - Ability to commit to 40 hours per week during weekdays for the duration of the engagement. - Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly. Requirements - Prior experience with data annotation, labeling, evaluation, or human feedback collection. - Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks. Benefits - W-2 employment with Cincinnatus LLC. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description The Principal Statistician, Biostatistics will be a lead statistician supporting the design and reporting of Phase I to IV clinical studies and support regulatory filings under the supervision of a more senior statistician. This role is responsible for the statistical aspects of study design, study analysis and validation, and study documentation. The Principal Statistician will provide timely and scientifically sound statistical expertise to clinical trials and develop and execute statistical strategy, design, and analyses for clinical trials. This position will work collaboratively with various departments and oversee work done by statistics and programming external vendors. Essential Functions - Participate in department and cross-functional meetings to optimize clinical study designs, endpoints, and analysis strategies. - Work collaboratively with members of study teams to meet study and recurring report timelines. - Support the development and implementation of study protocols. - Review and provide input to study-specific data capture systems and participate in their validation. - Develop statistical programs as necessary to simulate clinical trial design operating characteristics, perform analysis, prepare data displays, verify data accuracy and validity of analyses performed by statistical programming. - Write statistical analysis plans, perform data analysis and validation, and interpret analyses. - Support project lead statistician. - Prepare for and attend meetings with regulatory agencies. - Respond to statistical questions from regulatory agencies. - Work closely with statistical programming colleagues. - Monitor CRO guidelines and standards to ensure timeliness and quality of deliverables. - Review and validate CRO deliverables. - Other work as assigned by line manager. - Collaborate as the statistical subject matter expert with medical writers in the production of clinical reports, integrated summaries, and other documents. - Learn drug development regulatory requirements as they relate to statistics, including statistical contributions to marketing applications and CDISC SDTM and ADaM standards. - Stay current with new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and other professional development activities. Qualifications - Knowledge of clinical trial design and analysis, including experience with complex statistical methods and models. - Experience in using SAS and R; knowledge of other statistical applications and programming languages a plus. - Knowledge of applicable regulatory requirements and guidelines, e.g., ICH Guidelines. - Able to work in a fast-paced, flexible, team-oriented environment. - Possess excellent interpersonal and communication skills (written and verbal). - Strong attention to detail with a view to bring studies to a quality conclusion. - Flexible, positive, creative thinker, good communicator. - Be able to work without close supervision with effective time management. Requirements - MS or MPH in statistics, mathematics, or a related discipline with a statistical focus and > 2 years of experience in pharmaceutical or biotechnology industry. - PhD in statistics, mathematics, or a related discipline with a statistical focus and < 2 years of experience in the pharmaceutical or biotechnology industry. - Knowledge of drug development regulations pertinent to statistical analysis. - Bayesian and adaptive design knowledge is preferred. - Proficient SAS & R programming skills, understanding of CDISC models and standards. - Excellent writing and communication skills, demonstrated leadership abilities and excellent interpersonal skills. Benefits - Medical, dental and vision insurance. - 401k retirement savings plan. - Flexible paid vacation. - Discretionary annual cash bonus or incentive compensation (depending on the role). - Discretionary equity grants in accordance with Jazz’s Long Term Equity Incentive Plan.

Role Description Guide research and engineering teams to close knowledge gaps in data science, AI, and machine learning domains. Surface nuances that distinguish expert-level work from surface-level reasoning. - Design challenging data science and AI tasks rooted in real-world statistical modeling, ML pipelines, data engineering, and software workflows. - Write accurate, well-documented solutions that serve as ground truth. - Evaluate AI agent outputs and data science solutions. - Provide detailed written feedback that captures correctness, efficiency, and reasoning quality. - Develop and refine evaluation frameworks and rubrics for assessing statistical reasoning, ML pipeline design, agentic behavior, and data analysis approaches. - Collaborate with other subject matter experts to ensure consistency and accuracy in training data. Qualifications - 3+ years of professional or research experience in data science, machine learning, data engineering, AI systems, or software engineering. - Demonstrated technical expertise in at least one of: statistical modeling, ML modeling, data analysis, programming, LLMs, or agentic workflows. - Demonstrable career progression. - Ability to commit to 40 hours per week during weekdays for the duration of the engagement. - Strong written communication skills and the ability to explain analytical and technical decisions clearly. Requirements - Prior experience with data annotation, labeling, evaluation, or human feedback collection is a strong plus. - Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks is a plus. Benefits - W-2 employment with Cincinnatus LLC. - Paid weekly. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .

Role Description Dexcom is seeking a Senior Manager, Behavioral Science – Customer Success to lead the integration of behavioral science into the Customer Success ecosystem. This role is anchored within the Behavioral Science function and operates in close partnership with Technical Support / Customer Success to design, implement, and scale behaviorally informed support strategies aligned with enterprise engagement priorities. The Senior Manager will design and implement behaviorally informed strategies that: - Improve customer experience - Strengthen confidence during support interactions - Reduce friction across the support journey - Enhance engagement with Dexcom products following customer contact This role represents a strategic opportunity to translate behavioral insights into scalable operational improvements that benefit both customers and customer success teams. The position will work cross-functionally with: - Customer Success leadership - Product - Clinical Affairs - Customer Experience - Data Science partners This is an applied behavioral leadership role focused on implementation and impact at scale rather than traditional academic research. - Co-develop and execute a behavioral science strategy aligned with Customer Success priorities and the broader Behavioral Science roadmap supporting engagement, adoption, and sustained product use. - Identify behavioral drivers of customer confusion, disengagement, and repeat support contacts. - Translate behavioral insights into scalable improvements across support workflows, agent interactions, and customer journeys. - Design frameworks that strengthen customer confidence, trust, and product understanding during support interactions. - Develop behaviorally informed interventions that improve satisfaction and resolution effectiveness. - Partner with Customer Success leadership to reduce friction across high-impact customer touchpoints. - Strengthen post-interaction engagement strategies that support product adoption and continued use. - Identify opportunities to reinforce onboarding through support experiences. - Apply behavioral science principles to improve agent communication and decision-support approaches. - Inform training strategies that increase agent confidence and consistency in complex support scenarios. - Improve employee experience through behaviorally informed workflow enhancements. - Lead pilots and structured experiments to evaluate support interventions in partnership with Behavioral Science analytics teams. - Define behavioral and operational metrics linking support interactions to downstream engagement outcomes. - Measure impact across satisfaction, repeat contacts, activation behaviors, and product utilization in collaboration with analytics partners. - Serve as a strategic liaison between Behavioral Science and Customer Success leadership to align support initiatives with broader behavior-change efforts across Product, Clinical Affairs, and Customer Experience. - Partner cross-functionally to scale effective behavioral interventions. - Translate qualitative and quantitative insights into actionable operational recommendations. - Support integration of behavioral evidence into the broader customer experience strategy. - Use Behavioral Science research and analytics infrastructure to ensure consistent evaluation across customer engagement initiatives. Qualifications - Advanced degree (PhD, MS, MPH, or equivalent experience) in Behavioral Science, Psychology, Human Factors, Implementation Science, or related field - 8+ years of experience applying behavioral science in healthcare, digital health, customer experience, or service delivery environments - Demonstrated success translating behavioral insights into operational improvements at scale - Experience working cross-functionally with operations or service organizations - Strong stakeholder engagement and influence skills across technical and non-technical audiences - Experience designing and evaluating applied behavioral interventions Benefits - A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. - A full and comprehensive benefits program. - Growth opportunities on a global scale. - Access to career development through in-house learning programs and/or qualified tuition reimbursement. - An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve. Experience and Education Requirements - Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 13+ years related experience or a Master’s degree and 8+ years equivalent industry experience or a PhD and 5+ years of experience. Travel Required - 15-25% Remote Workplace - Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). - If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option. Salary $164,200.00 - $273,600.00