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Overview Provides clinical leadership to promote increased compliance with a range of quality and cost measures and standards of care. Manages service delivery of inter-professional and para-professional team members working on an individual case or population of cases. Acts as a key resource in providing clinical and operational guidance and support to assigned teams and other staff to achieve and enhance team outcomes. Provides advanced nursing clinical care for patients in accordance with current State and Federal rules and regulations for nurse practitioner's scope of practice and national standards of care. Works under the supervision of the Clinical Director for the Nurse Practitioner Program. What We Provide • Personal and financial wellness programs, • Opportunities for professional growth and career advancement, • Internal mobility and advancement opportunities, • Interdisciplinary network of colleagues through the VNS Health Social Services Community of Professionals What You Will Do, • Manages and provides full scope of advanced nursing practice for targeted patient populations. Evaluates patient responses to therapy / interventions. Ensures revision of the inter-professional plan of care as necessary to achieve quality outcomes., • Identifies need for new/revised clinical protocols. Collaborates with physicians and others within the practice to develop protocols and provides training as appropriate., • Manages and provides comprehensive advanced nursing care including physical examination, comprehensive history, screening for physical and/or psychological conditions, emergent interventions, pharmacological and non-pharmacological interventions, ordering treatments and DME, preventative health maintenance activities, care management, referrals, discharge planning, counseling and patient education. Establishes a treatment plan based on clinical findings and. Determines when further evaluation by collaborating physician, specialist or emergency care is warranted., • Collaborates with patients, families, primary care physicians and other team members to provide assessment and care planning. Assesses, plans, and provides intensive and continuous care management across client settings., • Manages and provides clinical services in compliance with standards of Patient-Centered Medical Home standards, meaningful use of medical record data, HEDIS and QARR quality of care measurements. Qualifications Licenses and Certifications: • License and current registration to practice as a Registered Professional Nurse in New York State required, • Certificate (license) and current registration to practice as a Nurse Practitioner in the State of New York, with a specialty in adult health, family health or gerontology required, • Valid driver's license, as determined by operational/regional needs may be required, • Maintains credentialed status with VNS Health Medical Care at Home and associated managed care plans required, • Maintains NPI, Medicaid and Medicare provider numbers preferred, • Maintains a collaborative practice agreement with a physician in compliance with New York State regulations preferred, • Must be certified by ANCC or another accrediting Nurse Practitioner body – in order to bill Medicare and meet credentialing requirements required, • For Psychiatric Nurse Practitioners only:, • Master's Degree of Science in Nursing, or other graduate degree from a nurse practitioner educational program registered by the New York State Education Department as qualifying for NP certification (licensure) required, • Current ANCC or AANP certification as an adult, family or geriatric nurse practitioner required, • For Psychiatric Nurse Practitioners only:, • Master's Degree in psychiatric-mental health Nurse Practitioner required, • Minimum of two years of experience as a nurse practitioner utilizing full scope of practice preferred, • Clinical home care experience or two years managerial experience preferred, • Demonstrated knowledge of Hedis and QARR quality measures, ICD-10 and CPT coding for reimbursement of services required USD $58.30 - USD $77.72 /Hr. About Us VNS Health is one of the nation’s largest nonprofit home and community-based health care organizations. Innovating in health care for more than 130 years, our commitment to health and well-being is what drives us — we help people live, age and heal where they feel most comfortable, in their own homes, connected to their family and community. On any given day, more than 10,000 VNS Health team members deliver compassionate care, unparalleled expertise and 24/7 solutions and resources to the more than 43,000 “neighbors” who look to us for care. Powered and informed by data analytics that are unmatched in the home and community-health industry, VNS Health offers a full range of health care services, solutions and health plans designed to simplify the health care experience and meet the diverse and complex needs of the communities and people we serve in New York and beyond.

Overview Provides clinical leadership to promote increased compliance with a range of quality and cost measures and standards of care. Manages service delivery of inter-professional and para-professional team members working on an individual case or population of cases. Acts as a key resource in providing clinical and operational guidance and support to assigned teams and other staff to achieve and enhance team outcomes. Provides advanced nursing clinical care for patients in accordance with current State and Federal rules and regulations for nurse practitioner's scope of practice and national standards of care. Works under the supervision of the Clinical Director for the Nurse Practitioner Program. What We Provide • Personal and financial wellness programs, • Opportunities for professional growth and career advancement, • Internal mobility and advancement opportunities, • Interdisciplinary network of colleagues through the VNS Health Social Services Community of Professionals What You Will Do, • Manages and provides full scope of advanced nursing practice for targeted patient populations. Evaluates patient responses to therapy / interventions. Ensures revision of the inter-professional plan of care as necessary to achieve quality outcomes., • Identifies need for new/revised clinical protocols. Collaborates with physicians and others within the practice to develop protocols and provides training as appropriate., • Manages and provides comprehensive advanced nursing care including physical examination, comprehensive history, screening for physical and/or psychological conditions, emergent interventions, pharmacological and non-pharmacological interventions, ordering treatments and DME, preventative health maintenance activities, care management, referrals, discharge planning, counseling and patient education. Establishes a treatment plan based on clinical findings and. Determines when further evaluation by collaborating physician, specialist or emergency care is warranted., • Collaborates with patients, families, primary care physicians and other team members to provide assessment and care planning. Assesses, plans, and provides intensive and continuous care management across client settings., • Manages and provides clinical services in compliance with standards of Patient-Centered Medical Home standards, meaningful use of medical record data, HEDIS and QARR quality of care measurements. Qualifications Licenses and Certifications: • License and current registration to practice as a Registered Professional Nurse in New York State required, • Certificate (license) and current registration to practice as a Nurse Practitioner in the State of New York, with a specialty in adult health, family health or gerontology required, • Valid driver's license, as determined by operational/regional needs may be required, • Maintains credentialed status with VNS Health Medical Care at Home and associated managed care plans required, • Maintains NPI, Medicaid and Medicare provider numbers preferred, • Maintains a collaborative practice agreement with a physician in compliance with New York State regulations preferred, • Must be certified by ANCC or another accrediting Nurse Practitioner body – in order to bill Medicare and meet credentialing requirements required, • For Psychiatric Nurse Practitioners only:, • Master's Degree of Science in Nursing, or other graduate degree from a nurse practitioner educational program registered by the New York State Education Department as qualifying for NP certification (licensure) required, • Current ANCC or AANP certification as an adult, family or geriatric nurse practitioner required, • For Psychiatric Nurse Practitioners only:, • Master's Degree in psychiatric-mental health Nurse Practitioner required, • Minimum of two years of experience as a nurse practitioner utilizing full scope of practice preferred, • Clinical home care experience or two years managerial experience preferred, • Demonstrated knowledge of Hedis and QARR quality measures, ICD-10 and CPT coding for reimbursement of services required, • Bilingual skills, as determined by operational needs required Pay Range USD $109,900.00 - USD $146,500.00 /Yr. About Us VNS Health is one of the nation’s largest nonprofit home and community-based health care organizations. Innovating in health care for more than 130 years, our commitment to health and well-being is what drives us — we help people live, age and heal where they feel most comfortable, in their own homes, connected to their family and community. On any given day, more than 10,000 VNS Health team members deliver compassionate care, unparalleled expertise and 24/7 solutions and resources to the more than 43,000 “neighbors” who look to us for care. Powered and informed by data analytics that are unmatched in the home and community-health industry, VNS Health offers a full range of health care services, solutions and health plans designed to simplify the health care experience and meet the diverse and complex needs of the communities and people we serve in New York and beyond.

Job Title: Psychologist Location: Union (UNC) Department Name: Psychology Req #: 0000236182 Status: Salaried Shift: Day Pay Range: $105,924.00 - $143,451.36 per year Pay Transparency: The above reflects the anticipated annual salary range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: The Staff Psychologist position at Children's Specialized Hospital (CSH) is housed within the state-of-the-art outpatient rehabilitation facility in Union, joining a dynamic multidisciplinary team. Their primary role is to address the biopsychosocial needs of children, adolescents, young adults admitted with a variety of diagnoses and developmental history. Psychologists provide diagnostic interviews, perform psychological testing and psychotherapeutic support for pediatric patients and their families. The clinical teams include Autism Team and Feeding Teams as needed. Qualifications: Required: • PhD, PsyD, or EdD, • NJ Psychology license, • AHA BLS Provider Certification, • Experience working with children/teens on the Autism spectrum, • 1+ year of job-related experience, • 1+ year of children and/or adolescent experience, • Experience with cognitive behavioral modification, • Standard battery testing experience, • NJ Psychology license, • Full Time, • Performs complete psychodiagnostic evaluations with new patients and identifies patient/family psychosocial needs, • Provides effective individual, family, group psychotherapy as indicated, • Identifies realistic goals for intervention and delivers ongoing behavioral medicine intervention based on the developmental needs of the patient (e.g., goals related to behavior management social skills emotional functioning treatment adherence, pain management, improving coping with various medical conditions, treatment of comorbid psychopathology), • Conduct assessments in the area of cognitive and neuropsychological functioning, • Attends interdisciplinary case conferences for patients treated or evaluated, • Provides effective team consultation as needed, • Supports clinical staff (e.g., consult with nursing/medical staff, join treatment sessions with recreational, occupational, physical, and speech therapists), • Participates in program development with opportunities for research, • Provides in-services and educational trainings to staff and community agencies as requested by Supervisor, • Disseminates findings accurately and sensitively and according to Department policy, • Provides supervision to staff, fellows, interns, externs as indicated, • Displays competency in obtaining and interpreting the patient and family behavior based upon an understanding of cognitive, bio-psychosocial and aging processes, • Meet minimum annual expected volumes Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Benefits and Perks: At RWJBarnabas Health, our market-competitive Total Rewards package provides comprehensive benefits and resources to support our employees’ physical, emotional, social, and financial health. • Paid Time Off (PTO), • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Retirement Plans, • Short & Long Term Disability, • Life & Accidental Death Insurance, • Tuition Reimbursement, • Health Care/Dependent Care Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance) RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

About the Team: IQVIA Institute for Human Data Science contributes to advancing human health by generating rigorous, evidence-based research. IQVIA Institute utilizes proprietary data sources, subject matter experts, advanced analytical skills, academic and external partners to conduct research and develop objective and data driven reports. These reports are intended for a broad set of stakeholders across the health system, such as policy makers, physicians, patients, societies, foundations etc. Our reports are widely downloaded with nearly 70,000 downloads last year along with over 600 citations in scholarly publications. Research at the IQVIA Institute can vary in size and complexity. We apply quantitative and qualitative analytical skills to a a variety of IQVIA data sources, external data sources and secondary literature to develop our reports. IQVIA Institute provides an opportunity to engage with crucial public health and public policy topics that can improve patient lives across the globe and to interact with key opinion leaders and stakeholders in these spaces. You'll enjoy a rewarding career in a collaborative, multicultural environment that values growth and development. Role Overview: Project Managers are an integral part of funded research projects. They are responsible for the on-time completion of projects or components of large, complex projects for clients in the life sciences field related to funded reports and research. They also also identify and elevate potential new business opportunities and assists in the sales process. Their projects range in complexity from basic analysis and problem solving to assisting in the development of more complex solutions. Project Managers serve as project leaders and manage the client relationship associated with specific projects. These projects may be done in partnership with several other teams across IQVIA. The research and reports led by Project Managers contribute to public health and public policy discourse across the globe and are well respected and used by stakeholders across the healthcare system (from policy makers, physicians, patients, societies, foundations etc.) Essential Functions: • Participate or lead teams in the design, development and delivery of funded research projects or components of larger, complex projects., • Review and analyze client requirements or problems and assist in the development of proposals of cost effective solutions that ensure profitability and high client satisfaction while meeting IQVIA Institute standards, • Provide direction and guidance to Analysts, Consultants, and where relevant, to Statistical Services assigned to engagement., • Develop detailed documentation and specifications., • Perform qualitative and/or quantitative analyses to assist in the development of tailored funded research solutions., • Design, structure and deliver reports and presentations that are appropriate to the characteristics or needs of the audience., • Recommend improvements and alternative solutions to resolve problems., • Identify potential new business opportunities of follow-on work and new leads at assigned client., • Provide follow-up with client after project deliverable has been completed to ensure client satisfaction., • Proactively develop broader and deeper knowledge of methodologies and life sciences industry, healthcare policy globally through on the job experience and participation in training opportunities. Begin to develop subject matter expertise across healthcare system topics, • When acting as Project Manager, proactively manage project timelines and manage day to day communication with the client and team members. Qualifications: • Bachelor's degree in life sciences, public health or other related field required. MBA, MPH, PhD with a life sciences or healthcare focus preferred., • Typically possesses 5-8 years of post-undergraduate experience or 3-5 years of post Masters experience., • Possesses solid project management skills and client management and relationship building skills., • Experienced with developing consultative relationships with senior level managers and executives at clients in the life science industry., • Ability to manage multiple projects, juggle priorities and deliver on tight deadlines., • Knowledge of consulting and research methodologies, tools and techniques related to functional area., • Knowledge of key issues and current developments in the life science industry and healthcare system across countries, • Necessary subject matter expertise to effectively manage projects, • Results oriented approach to work delivery and output. Ability to solve problems independently and creatively., • Effective communication - strong written and verbal communication skills including good command of English language. Excellent presentation, communication and client management skills., • Quality: High attention to detail and accuracy in work., • IT skills: Proficient software and computer skills, including MS Office applications, including but not limited to, Microsoft Word, Excel, and PowerPoint. Intermediate or advanced Excel skill level preferred., • Collaboration: Ability to establish and maintain effective working relationships with coworkers, managers, and clients. Ability to work across geographies displaying high awareness and understanding of cultural differences. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is $95,300.00 - $237,500.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity. We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making. We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might: • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets, • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work, • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t., • Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots diverse and complex problems and evaluate their outputs, • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management, • A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Position Summary: The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, a clinical data warehouse team and a data services team. The Lead HPC Architect, Cybersecurity, High Performance Computational and Data Ecosystem, is responsible for designing, implementing, and managing the cybersecurity infrastructure and technical operations of Scientific Computing’s computational and data science ecosystem. This ecosystem includes a 25,000+ core and 40+ petabyte usable high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. The HPC system is the fastest in the world at any academic biomedical center (Top 500 list). To meet Sinai’s scientific and clinical goals, the Lead brings a strategic, tactical and customer-focused vision to evolve the ecosystem to be continually more resilient, secure, scalable and productive for basic and translational biomedical research. The Lead combines deep technical expertise in cybersecurity, HPC systems, storage, networking, and software infrastructure with a strong focus on service, collaboration, and strategic planning for researchers and clinicians throughout the organization and beyond. The Lead is an expert troubleshooter, productive partner and leader of projects. The lead will work with stakeholders to make sure the HPC infrastructure is in compliance with governmental funding agency requirements and to promote efficient resource utilizations for researchers This position reports to the Director for HPC and Data Ecosystem in Scientific Computing and Data. Key Responsibilities: HPC Cybersecurity & System Administration: • Design, implement, and manage all cybersecurity operations within the HPC environment, ensuring alignment with industry standards (NIST, ISO, GDPR, HIPAA, CMMC, NYC Cyber Command, etc.)., • Implement best practices for data security, including but not limited to encryption (at rest, in transit, and in use), audit logging, access control, authentication control, configuration managements, secure enclaves, and confidential computing., • Perform full-spectrum HPC system administration: installation, monitoring, maintenance, usage reporting, troubleshooting, backup and performance tuning across HPC applications, web service, database, job scheduler, networking, storage, computes, and hardware to optimize workload efficiency., • Lead resolution of complex cybersecurity and system issues; provide mentorship and technical guidance to team members., • Ensure that all designs and implementations meet cybersecurity, performance, scalability, and reliability goals. Ensure that the design and operation of the HPC ecosystem is productive for research., • Lead the integration of HPC resources with laboratory equipment for data ingestion aligned with all regulatory such as genomic sequencers, microscopy, clinical system etc., • Develop, review and maintain security policies, risk assessments, and compliance documentation accurately and efficiently., • Collaborate with institutional IT, compliance, and research teams to ensure all regulatory, Sinai Policy and operational alignment., • Design and implement hybrid and cloud-integrated HPC solutions using on-premise and public cloud resources., • Partner with other peers regionally, nationally and internationally to discover, propose and deploy a world-class research infrastructure for Mount Sinai., • Stay current with emerging HPC, cloud, and cybersecurity technologies to keep the organization’s infrastructure up-to-date., • Work collaboratively, effectively and productively with other team members within the group and across Mount Sinai., • Provide after-hours support as needed., • Perform other duties as assigned or requested. Requirements: • Bachelor’s degree in computer science, engineering or another scientific field. Master's or PhD preferred., • 10 years of progressive HPC system administration experience with Enterprise Linux releases including RedHat/CentOS/Rocky Systems, and batch cluster environment., • Experience with all aspects of high-throughput HPC including schedulers (LSF or Slurm), networking (Infiniband/Gigabit Ethernet), parallel file systems and storage, configuration management systems (xCAT, Puppet and/or Ansible), etc., • Proficient in cybersecurity processes, posture, regulations, approaches, protocols, firewalls, data protection in a regulated environment (e.g. finance, healthcare)., • In-depth knowledge HIPAA, NIST, FISMA, GDPR and related compliance standards, with prove experience building and maintaining compliant HPC system, • Experience with secure enclaves and confidential computing., • Proven ability to provide mentorship and technical leadership to team members., • Proven ability to lead complex projects to completion in collaborative, interdisciplinary settings with minimum guidance., • Excellent analytical ability and troubleshooting skills., • Excellent communication, documentation, collaboration and interpersonal skills. Must be a team player and customer focused., • Scripting and programming experience. Preferred Experience • Proficient with cloud services, orchestration tools, openshift/Kubernetes cost optimization and hybrid HPC architectures., • Experience with Azure, AWS or Google cloud services., • Experience with LSF job scheduler and GPFS Spectrum Scale., • Experience in a healthcare environment., • Experience in a research environment is highly preferred., • Experience with software that enables privacy-preserving linking of PHI., • Experience with Globus data transfer., • Experience with Web service, SAP HANA, Oracle, SQL, MariaDB and other database technologies. Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

Roles & Responsibilities: The Scientific Computing and Data group at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery. To achieve these aims, we support a cutting-edge high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high-performance computing team, the research clinical data warehouse team and a research data services team. The Senior HPC Administrator, High Performance Computational and Data Ecosystem, is responsible for a computational and data science ecosystem for researchers at Mount Sinai. This ecosystem includes high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. To meet Sinai’s scientific and clinical goals, the Senior Administrator has a good technical understanding for computational, data and software development systems along with a strong focus on customer service for researchers. The HPC Senior Administrator is an expert troubleshooter and productive team member and leads projects to effective and efficient completion independently under little to no supervision. This position reports to the Director for Computational & Data Ecosystem in Scientific Computing. Specific responsibilities are listed below. Responsibilities • Design, deploy and maintain Scientific Computing’s computational and data science ecosystem including ~30,000 cores with high bandwidth, low latency interconnects, GPUs, large shared memory nodes, databases, scientific workflows and 30+ petabytes of storage in production, clinical data warehouse and software development environment., • Lead the troubleshooting, isolation and resolution of all technical issues including application, system, hardware, software, and network). Actively monitors the systems., • Maintains, tunes and manages computational, data, cloud technologies and workflow systems for ISMMS researchers, scientists and their external collaborators. Defines and deploys a comprehensive computational and data vision. Identifies and communicates system advantages/disadvantages and tradeoffs., • Designs, develops, implements system administration tasks, including hardware and software configuration, configuration management, system monitoring (including the development and maintenance of regression tests), usage reporting, system performance (file systems, scheduler, interconnect, high availability, etc.), security, networking and metrics, etc., • Collaborates effectively with research and hospital system IT, compliance, HIPAA, security and other departments to ensure compliance with all regulations and Sinai policies., • Participates in the integration of HPC resources with laboratory equipment such as sequencers, clinical and research data resources and systems, etc. Incorporate and link data and compute resources., • Researches, deploys and optimizes resource management and scheduling software and policies and actively monitoring. Designs, tunes, manages and upgrades parallel file systems, storage and data-oriented resources., • Researches, deploys and manages security infrastructure, including development of policies and procedures., • Maintain all necessary aspects of HPC in accordance with best practices. Develops and implements backup policies., • Prepares and manages budgets for hardware, software and maintenance. Participates in chargeback/fee recovery analysis and provides suggestions to make operations sustainable., • Assists in developing and writing system design for research proposals. Creates and provides clear documentation., • Works effectively and productively with other team members within the group and across Mount Sinai., • Performs related duties as assigned or requested., • Provides after hours support for critical system and production issues., • Answers and resolves user tickets. Qualifications: • Bachelor's degree in computer science, engineering or another scientific field. Master's or PhD preferred, • 8+ years (higher preferred) of progressive HPC system administration and operations (preferably in a Redhat/CentOS Linux administration, Batch HPC cluster environment), • Must be an expert troubleshooter; Must be a team player and customer focused, • Experience with job scheduler such as LSF or Slurm and parallel file systems and storage, • Experience with networking and security, • Experience with configuration management systems such as xCAT, Puppet and/or Ansible, • Experience of databases and web services, • Experience in Infiniband, Gigabit Ethernet, • Experience in an academic or research community environment, • Script and programming experience, • Experience with Cloud Computing, • Ability to multitask effectively in a dynamic environment, • Excellent communication skills, analytical ability, strong judgment and management skills, and the ability to work effectively as a liaison between both research and technology teams., • Advanced degree, • Experience with GPFS, LSF, TSM, IB and ethernet networking, • Experience with databases and web services is highly preferred Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. As we continue to grow as one QuidelOrtho we are seeking a Program Lead, Digital Informatics QMS Strategy. This Program Lead is responsible for developing, maintaining, and communicating QuidelOrtho' s Quality Management System strategy for Digital Informatics, Software as a Medical Device (SaMD), Artificial Intelligence (AI/ML), and Automation platforms as they pertain to in vitro diagnostic (IVD) products and associated services across all global markets. This role serves as the strategic quality authority for digitalenabled products, ensuring that regulatory, quality, and compliance expectations are proactively embedded into product lifecycle processes, digital delivery models, and organizational ways of working. This position will be onsite in Rochester, NY. * Define and evolve the global QMS strategy for digital health technologies, including SaMD, AI/MLenabled systems, cloudbased platforms, and automated workflows. * Interpret and operationalize global regulatory and standards requirements (e.g., FDA, EU MDR/IVDR, ISO 13485, IEC 62304, ISO 62366, ISO 14971, GxP data integrity) as they apply to digital and informatics solutions. * Partner with R&D, IT, Product Management, Regulatory Affairs, PMO, and Technical Quality to ensure quality by design is embedded throughout the digital product lifecycle. * Establish governance models, procedural frameworks, and decision pathways that enable agile and scalable digital innovation while maintaining regulatory compliance. * Lead riskbased approaches for software lifecycle management, cybersecurity, data governance, AI/ML change control, and algorithm performance monitoring. * Serve as a thought leader and internal consultant on emerging regulatory expectations related to AI/ML, realworld data, automation, and digital transformation. * Perform other work-related duties as assigned. Required: * Bachelors and/or technical degree in Life Sciences, Pharmacy, Engineering, Computer Science, Biomedical Engineering or a related technical discipline. * 8-10 years of progressively responsible experience within a regulated Quality Management System environment, with significant exposure to software, digital health, or informatics solutions. * Demonstrated ability to lead QMS strategy development and influence senior stakeholders across complex, matrixed organizations. * Strong understanding of global regulatory frameworks applicable to digital health, SaMD, AI/ML, and automated systems. * Proven experience applying risk management, design controls, software lifecycle processes, and post market surveillance to digital products. * Ability to translate regulatory and quality requirements into practical, scalable processes that support innovation. * Bias toward action, with a track record of driving execution aligned to organizational strategy. * Excellent written and verbal communication skills, including the ability to represent quality positions to executive leadership. * Strong collaboration skills and the ability to operate effectively across technical, regulatory, and business functions. * Willingness and ability to travel approximately 10-15%. Preferred: * Advanced degree (MS, PhD, or PharmD) strongly preferred. * Experience with AI/ML governance, algorithm change management, or real-world performance monitoring. * Background in cloudbased systems, cybersecurity, data integrity, or regulated automation platforms. * Experience supporting global regulatory inspections involving software or digital health products. Internal: Operations, Supply Chain, R&D, Commercial, Regulatory Affairs, GSO, Quality & Compliance teams globally and regionally. External: Regulatory agencies, Notified Bodies, Contract manufacturers, Suppliers, and service providers. The work environment characteristics are representative of a manufacturing, laboratory, or warehouse environment. No strenuous physical activity. Standard activities include sitting, standing, walking, talking, hearing, and visual work. May include occasional travel for site visits, leadership meetings, or regulatory support. At QuidelOrtho, our culture is shaped by four core behaviors that guide how we collaborate, make decisions, and support each other and those we serve. The ideal candidate will exhibit these behaviors, as we believe they're essential to how we thrive as a team and achieve meaningful impact: * Thrive Together - Collaborate intentionally, grow as a team * Make It Happen - Focus on priorities, embrace continuous improvement * Commit to Service - Cultivate a service mindset * Embrace Inclusion - Be open and authentic, welcome diverse perspectives Salary range for this position takes into account a wide range of factors including: education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on that facts and circumstances of each case. Salary range for this position is $155,000 to $202,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform their duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at ___. #LI-SP1

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As a Staff Agent Post-Training MLRE, you will build out our next-gen Agent RL training platform. You'll build out the platform that will train best-in-class Agents that achieve state of the art results on real enterprise use-cases. You'll integrate cutting edge research into our training stack, enabling MLREs on the Enterprise AI team to deploy use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 5+ years of LLM training in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You'll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them., • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,000—$393,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time. Overview Responsible for data science, machine learning algorithms, statistical analysis, complex data analysis and the development of quantitative models that are designed to solve key business problems in claims, marketing, underwriting, and many other insurance-based functions. Work directly with business partners and stakeholders to lead the thought process to identify opportunities for applying advanced analytics solutions while ensuring business benefits are realized. The candidate will drive the maturity of the organization's analytical capabilities by progressing from supervised learning to true Artificial Intelligence. Detects, trouble-shoots, and foresees data and analysis issues and implements creative solutions. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Responsibilities • Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes., • Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends., • Perform descriptive and diagnostics analysis to provide actionable insights for a range of business customers via effective visualization., • Perform prescriptive analysis seeking for statistical inference providing information that will drive strategic decision making related to marketing, claims and underwriting., • Develop predictive models and machine learning solutions to investigate problems, detect patterns and recommend solutions. Work with Information Technology (IT) to integrate the model into production environment., • Performs model maintenance and post installation monitoring, including performance tracking, model refit/refresh, documentation, and version control., • Design best in class sophisticated analytical solutions using advanced data science techniques like Text Mining, Natural Language Processing (NLP), Image Recognition, Generative AI and Robotic Process Automation (RPA)., • Research and recommend new data, tools, modeling techniques, and vendor solutions to enrich analytics solutions in alignment to policy lifecycle. Knowledge and Requirements • Professional statistics/quantitative skills., • Hands-on experience of solving business problem with various multi variate statistical methods including generalized linear model, survival model, time series, mixed effects model etc., • Deep understanding and practical experience of applying machine learning techniques and algorithms, such as SVM, GBM etc., • Familiar with the whole life cycle of predictive modeling, including data provision, model development, validation and testing, model deployment., • Strong Communication and Presentation, • Skills in front of diverse audience. Proficient with manipulating data with enterprise-scale database systems (SQL, SAS)., • Experience with BI tools such as Tableau, Spotfile etc. is required., • Hands on experience with Big Data / Hadoop / Spark for 2-3 years is required., • Proficient with at least one scripting language such as R, Python, or Java., • Experience with version control workflow such as Git is preferred., • Experience with web app development is preferred. Education and Experience • PhD with 2-3 years of experience, or Master's with 5 years of experience or Bachelors with 7 years of experience and education in Statistics, Economics, Computer Science, Mathematics or related field preferred., • At least 5 years of progressive experience in data science, statistical analysis, and data modeling; 5 years of experience with statistical software. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $139,000.00 - USD $180,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants 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.

As a Quant Investment Associate, you will be the analytical engine behind our Fixed Income platform. You will not only build the models but also interpret the data to provide strategic recommendations on portfolio construction, tactical asset allocation, and risk-adjusted optimization. This is a highly visible, front-office role where your work directly impacts the alpha generation of our Fixed Income mandates. Key Responsibilities Portfolio Construction & Optimization • Quantitative Modeling: Design and implement robust frameworks for multi-sector Fixed Income portfolio construction (including Sovereigns, Corporates, High Yield, and Securitized products)., • Optimization: Develop and refine optimization algorithms (e.g., Mean-Variance, Risk-Parity, or Factor-based) that account for transaction costs, liquidity constraints, and regulatory requirements (e.g., Basel IV/Solvency II)., • Alpha Generation: Utilize systematic signals and alternative data to identify relative value opportunities across global fixed-income markets., • Scenario Analysis: Conduct "Stress-Testing" and "What-If" simulations to quantify portfolio sensitivity to interest rate shocks, spread widening, or geopolitical events., • Custom Tooling: Build and maintain proprietary Python-based libraries for bond pricing, yield curve fitting, and attribution., • Visual Dashboards: Develop real-time dashboards (using Streamlit, Dash, or Tableau) to visualize portfolio exposures, risk concentrations, and performance drivers., • Ad-hoc Analytics: Rapidly respond to market events by performing deep-dive data analysis on specific sectors or idiosyncratic risks. Qualifications • Education: Masters or PhD in a STEM field (Financial Engineering, Mathematics, Physics, Statistics, or Computer Science)., • Experience: 3–10 years in a quantitative role within Fixed Income, ideally on the buy-side (Asset Management or Hedge Fund)., • Programming: Expert-level Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Experience with SQL and version control (Git) is essential., • Fixed Income Mastery: Deep understanding of duration/convexity, credit spreads, OAS, and the mechanics of structured products or derivatives (CDX, Swaps, Futures)., • Communication: Ability to bridge the gap between "Quant" and "PM"—explaining technical methodologies to non-technical stakeholders., • Commercial Acumen: A passion for markets and a drive to find profitable patterns in data., • Agility: Comfortable in a fast-paced trading floor environment where priorities can shift based on market volatility.

Upper School Varsity Robotics Coach Montclair Kimberley Academy (MKA), an innovative Jr-K–12, independent day school in northern New Jersey with a strong national reputation, Apple Distinguished School recognition, a celebrated 1:1 learning program, and a strong tradition of internal professional development, seeks a Head Varsity Robotics Team coach beginning in September 2026. Position Overview: MKA’s strong Upper School Robotics Team empowers students to lead with curiosity and ingenuity. Competing in the FIRST Tech Challenge (FTC), team members gain technical experience in coding, mechanical construction, and CAD modeling. All 9th-12th grade students are welcome on the team, from experienced builders and coders to new-to-robotics students. We pride ourselves on fostering a collaborative culture where students are free to tinker, explore, and learn through iterative trial and error. The inclusive and supportive team environment is built upon FIRST’s philosophy of “gracious professionalism”, ensuring our students compete with intensity while maintaining a deep respect for their teammates and the broader robotics community. This position reports to the Upper School Dean of Student Life and the Director of STEM+ Programming (9-12). Key Responsibilities: The primary role of the Varsity Robotics Coach is to foster an inclusive team culture, mentor students and develop leaders, and prepare the team to compete in the First Robotics meets. Peak competition season runs from November through March, but the team is expected to practice and remain active throughout the entire academic year, from September through the end of May. Specific responsibilities include but are not limited to: ● Attend and run all team practices during peak competition times. During the peak season, practices are held Monday-Friday, 3:00pm-5:30pm, but there is some flexibility to accommodate the coach's schedule ● Develop a consistent weekly practice schedule for the off-season. ● Attend and oversee all weekend competitions (approximately 6 per year). These full-day events are held at various locations throughout the area. ● Hold additional weekend and holiday practices as needed. ● Meet with student captains on a weekly basis to plan practices, meets, and events. Weekly agendas should outline ways to actively include all members of the team in coding, building, and driving the robot. ● Meet with the Director of STEM+ Programming (9-12) on a regular basis to review progress and plan additional events. ● Work with the team and the Student Captains to establish a strong, inclusive, and collaborative team environment. ● Partner with the Director of STEM+ Programming (9–12) to set a clear vision for the team, keeping both institutional goals and student perspectives and needs at the forefront of the planning process. ● Coordinate logistics and transportation arrangements for team attendance at all FIRST Tech competitions. ● Order all team supplies and maintain an up-to-date budget spreadsheet, ensuring it is shared with and reviewed by the Director of STEM+ Programming (9–12). ● Collaborate effectively with additional coaches and other adult mentors, maintain a united front before the students, and uphold all MKA policies in their communications and interactions with students. Qualifications: ● Experience working with a Robotics Team in an educational setting preferred ● Bachelor’s degree required ● Teaching experience preferred ● Experience mentoring/coaching students is a plus Applications: Interested candidates should send a resume and cover letter to the Upper School Dean of Student Life, Kerry Verrone () and the Director of STEM+ Programming (9-12), Petra Sauer, PhD (). Finalists for this position will need to submit names and contacts of 3 professional references. The salary for this position is $15,000. MKA is committed to promoting an inclusive and representative education that honors students’ narratives, provides a safe environment to explore and discuss multiple perspectives, and helps transform students and faculty, school culture and curriculum, community, and society. We actively seek candidates who share our commitment to this process. It is MKA's policy to provide equal employment opportunity to all qualified persons regardless of age, race, creed, color, national origin, ancestry, sex, gender identity, sexual orientation, socio-economic background, or disability not related to the requirements for being a successful employee at MKA.

QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world-leading in vitro diagnostics company with award-winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most - home to hospital, lab to clinic. Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all. QuidelOrtho is seeking a Manager, Data Analytics. The Manager, Data Analytics is a global people leader within QuidelOrtho' s Global Quality & Compliance (GQ&C) organization. This leader is responsible for developing and leading a team of Quality professionals to ensure the design, implementation, and continuous improvement of Quality systems, processes, and programs that enable QuidelOrtho' s Right to Operate and support business agility, innovation, and growth. This role provides strategic direction and operational oversight across Quality disciplines. operate under little to no direct supervision and provide independent guidance to the business. This position is considered a subject matter expert in Quality Data Analytics and Complaint Trending. They are accountable for the work of the Quality Data Analytics team and the success of team projects; and will have significant amounts of critical organizational and technical knowledge. This leader is responsible for the day-to-day management and supervision of Quality Engineers and Data Analysts and is also accountable for developing talent, strengthening scientific and compliance capabilities, and fostering a culture of engagement, collaboration, and performance. By integrating technical expertise, data-driven insights, and agile leadership behaviors, the Manager, Data Analytics ensures that Quality systems and teams deliver sustainable business and compliance outcomes. This position will be Hybrid in any global QuidelOrtho site. * Provides independent guidance to business partners on quality data handling and analytics. Establish dashboards and data visualizations to support product quality and continuous improvement. * Leads metrics and data analytics work for Complaints, Recalls, NC, CAPA, Audits/Compliance and other areas of Quality. * Ability to manage complaint trending activities and related software system validations * Ability to compile and present quality data and analysis to the business eg: Management Review. * Lead, develop, and inspire a team of Quality professionals to achieve organizational and individual performance objectives. * Establishclear priorities, assign responsibilities, and ensure effective resource allocation to meet business and compliance needs. * Provide technical, regulatory, and operational leadership to ensure Quality systemscomply withISO 13485, FDA 21 CFR 820, IVDR, and other applicable requirements. * Drive harmonization and standardization of Quality processes, procedures, and tools across sites and functions to strengthen compliance and efficiency. * Promote a culture of continuous improvement byidentifyingopportunities for simplification, process excellence, and digital enablement within the Quality Management System (QMS). * Ensure the teammaintainsa state ofinspectionreadiness and supports successful engagement with regulatory agencies, notified bodies, and internal audits. * MonitorQuality performance using metrics and data analytics toidentifyrisks, drive root cause analysis, and implement sustainable improvements. * Coach and mentor emerging Quality team members to build organizational capability and ensure robust succession planning. * Communicate Quality and Compliance strategy, progress, and risk mitigation plans to senior leadership and cross-functional stakeholders. * Ability to identify and drive process improvements; own process investigations, nonconformance records or corrective actions in response to audit findings. * Perform other work-related duties as assigned. Required: * Bachelor's degree in Life Sciences, Engineering, or a related technical discipline required. * 7+ years of progressive experience in Quality, Compliance, or related fields within the Medical Device, IVD, or Biopharmaceutical industries, including at least 3 years in people leadership. * Strong understanding of Quality System regulations and standards, including ISO 13485, FDA 21 CFR 820, and IVDR. * Proven ability to lead and develop high-performing teams and build future technical and people leaders * Demonstrated success driving Quality and Compliance initiatives that align with business strategy and regulatory expectations. • Excellent collaboration, influence, and communication skills across functional and organizational boundaries., • Strong analytical and problem-solving skills, with experience using data to drive decision-making and improvement., • Experience leading in a matrixed, global organization and managing competing priorities effectively., • Commitment to scientific integrity, compliance excellence, and continuous improvement. Preferred: * Advanced degree (MS, PhD, MBA, or equivalent) in a relevant discipline. * Experience implementing or optimizing global Quality Management Systems (QMS) and digital tools. * Lean Six Sigma, PMP, or similar certification demonstrating process improvement expertise. * Experience supporting or leading Health Authority or Notified Body inspections. Internal: Operations, Supply Chain, R&D, Commercial, Regulatory Affairs, GSO, Quality & Compliance teams globally and regionally. External: Regulatory agencies, Notified Bodies, Contract manufacturers, Suppliers, and service providers. Typical office or laboratory environment. May involve virtual collaboration across multiple global sites. No strenuous physical activity required. May include occasional travel for site visits, leadership meetings, or regulatory support. At QuidelOrtho, our culture is shaped by four core behaviors that guide how we collaborate, make decisions, and support each other and those we serve. The ideal candidate will exhibit these behaviors, as we believe they're essential to how we thrive as a team and achieve meaningful impact: * Thrive Together - Collaborate intentionally, grow as a team * Make It Happen - Focus on priorities, embrace continuous improvement * Commit to Service - Cultivate a service mindset * Embrace Inclusion - Be open and authentic, welcome diverse perspectives Salary range for this position takes into account a wide range of factors including: education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on that facts and circumstances of each case. Salary range for this position is $135,000 to $175,000 and is bonus eligible. QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate. QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for those positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform their duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact us at ___. #LI-SP1

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Wiley is undergoing a transformative period as we anticipate and adapt to the shifting needs of our customers while harnessing the possibilities enabled by technology and innovation. With new products and services fueling our global expansion, this is a pivotal moment to join Wiley's executive leadership as Corporate Vice President of Enterprise Strategy. This role will lead the strategic initiatives that define the organization's future - driving research, analysis, and enterprise-wide transformation. Reporting directly to the SVP, Strategy, this executive will partner with C-suite leaders and the Board of Directors to architect and execute Wiley's long-term vision, while building and leading a high-performing strategy team. Job Responsibilities: Enterprise Strategy & Portfolio Leadership • Own Wiley's 3-5 year strategic roadmap, defining the next chapter of the company's evolution and driving execution against strategic priorities., • Lead portfolio strategy, partnering with the CEO and Board to make disciplined decisions on where to invest and transform., • Establish strategic KPIs and performance frameworks, delivering regular Board and executive insights on progress against priorities. Market Intelligence & Competitive Positioning • Build and own market intelligence capabilities, delivering rigorous competitive analysis and strategic foresight in high-growth areas including life sciences data services, and AI-enabled publishing innovation., • Partner with Corporate Development to identify and evaluate M&A opportunities, leading strategic due diligence and ensuring alignment with enterprise strategy., • Collaborate with Business Development on partnerships and alliances that support Wiley's long-term roadmap., • Support investor relations and corporate marketing in articulating Wiley's strategic narrative and competitive differentiation to external stakeholders. Strategic Enablement & Cross-Functional Leadership • Build strategic planning capabilities across the organization through frameworks, tools, and processes that elevate strategic thinking., • Partner closely with Finance to ensure strategic plans are grounded in rigorous financial analysis and appropriately resourced., • Serve as executive sponsor for high-priority transformation initiatives, driving cross-functional alignment and measurable business impact. Required Qualifications: • MBA from a top-tier business school; advanced degree (PhD, MS) in a relevant field is a plus, • 12-15+ years of progressive experience in strategy consulting (Partner/Principal level at MBB or equivalent) and/or senior strategy roles in publishing, education technology, or information services, • Proven track record of leading enterprise transformation initiatives with demonstrated P&L impact, • Executive presence with extensive experience presenting to and influencing Board of Directors and C-suite executives, • Experience leading and scaling teams of 10+ professionals Core Competencies: • Strategic Vision: Ability to synthesize complex market dynamics, anticipate disruption, and shape breakthrough corporate strategies., • Executive Leadership: Proven capacity to influence without authority, align diverse stakeholders, and drive consensus at the senior-most levels., • Analytical Rigor: Strength in market analysis, competitive intelligence, and data-driven decision-making to guide strategic priorities., • Innovation & Transformation: Deep expertise in digital transformation, AI/ML applications, and emerging business models that drive sustainable growth., • Communication Mastery: Exceptional storytelling and narrative-building skills, with experience preparing Board-level materials and investor communications., • Global Perspective: Hands-on experience leading cross-border initiatives and navigating diverse regulatory and cultural contexts., • Industry Expertise: Deep understanding of data services and content ecosystems, with exposure to key verticals (e.g., Life Sciences). We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 210,000 USD to 315,333 USD#LI-JL1 Job Posting Title: Corporate Vice President, Strategy Location: Hoboken (HQ), NJ, USA

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale's proprietary research, data, and infrastructure-unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems. What You'll Do • Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments)., • Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution., • Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes., • Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally., • Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent., • Stay deeply connected to the research community, understanding major trends, and helping set them. Core Qualifications • 8+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains., • A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)., • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience leading or managing research teams. You're excited to mentor, coach and develop talent., • Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders., • Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments, • Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Interested in exploring the role of adipose tissues in mucosal inflammation in a supportive, creative, and inclusive environment? The Grasset lab Our lab’s long-term objective is to uncover novel mechanisms underlying the pathology of Crohn’s disease (CD), a progressive incurable disease characterized by transmural intestinal inflammation leading to complications often requiring bowel resection surgery. The goal is to identify novel therapeutic targets by focusing on two previously disconnected hallmarks of CD: expanded mesenteric adipose tissue wrapping around the intestine – or creeping fat – and anti-microbial antibodies, both correlating with disease complications. Studying these hallmarks will further reveal unexplored relationships between adipocytes, stromal cells, and immune cells driving B cell responses in gut homeostasis and inflammation. Understanding these relationships will impact how we perceive immune responses at other mucosal sites and systemically. Ongoing projects include: the study of the impact of CD-specific microbiota on stromal cell-supported lymphoid structures embedded in mesenteric adipose tissue; specific mechanisms by which stromal cells and adipocytes communicate with B cells; and the subsequent impact on B cell activation and their differentiation to anti-microbial antibody-producing plasma cells. Future projects will investigate how these relationships are established in early life and evolve over time. Location The unique multidisciplinary and collaborative environment within the Drukier Institute for Children’s Health, the Department of Pediatrics, Division of Gastroenterology and Nutrition, and the Jill Roberts Institute for Inflammatory Bowel Disease provides an ideal setting to drive projects in our lab! You will join our lab on the Weill Cornell Medical College campus on the Upper East Side of Manhattan, at the heart of a research hub which includes Memorial Sloan Kettering Cancer Center and The Rockefeller University. This provides additional opportunities for collaboration and networking across multiple scientific disciplines. PI statement I believe the best way to foster a creative scientific environment is to reward teamwork while encouraging individuals to take on new challenges aligned with their individual development and project needs. Your career development matters and will be supported, including through seminar and conference presentations and grant-writing opportunities. Position Responsibilities We are seeking a team-oriented, collaborative, and proactive postdoc to play a key role in growing our research program. You would lead your own project focused on adipocyte–stromal–immune interactions in the context of Crohn’s disease and mucosal immunology, and collaborate with other lab members to maximize the use of our samples from gnotobiotic models and human tissues. Responsibilities include: · Conducting independent and collaborative research following lab, departmental, and institutional policies. · Designing, organizing, and executing experiments using established and new protocols. · Collecting, preparing, and analyzing research data; maintaining detailed experimental records. · Preparing datasets, figures, and statistical analyses for presentations and publications. · Participating in manuscript and abstract preparation, publishing research findings, and presenting at conferences. · Assisting the Principal Investigator with fellowship, grant, and scholarship applications. · Contributing to lab operations, including training or supervising students, interns, and other personnel. Minimum Qualifications · PhD, MD, or equivalent doctoral degree · Ability to work collaboratively, proactively, and effectively within a team · Strong written and verbal communication skills · Wet lab experience (e.g. molecular, cellular, and/or immunological techniques) · Mouse handling experience (e.g. colony work, bleeding, and/or in vivo experiments) Preferred Qualifications Experience in any of the following areas is highly valuable: • Adipocyte biology, • Fatty acid metabolism, • Adipose-derived stromal cells, • Stromal–immune crosstalk, • Immunology, • Microbiology Preferred technical experience includes: • Single-cell RNA sequencing analysis, • Spectral flow cytometry, • Confocal imaging (whole-mount clearing a plus), • B cell repertoire analysis, • Mass spectrometry, • Cell culture, • Anaerobic bacterial culture Application Process Interested applicants should email the following materials to Emilie Grasset at , using “Postdoc position” in the subject line: • CV, • Cover letter describing past and future research interests and motivation for applying to the Grasset Lab, • Following interviews, candidates will be asked to share the contact information of three references Weill Cornell Medical College offers subsidized housing, excellent benefits, and assistance with visa requirements. Commitment to Diversity Weill Cornell Medicine is committed to fostering a culture of diversity and inclusion among our faculty, staff, and students. We seek out individuals with a diverse range of backgrounds and experiences, and we work to create programs that support both our current employees and our recruitment efforts. EEO Statement Weill Cornell Medicine 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. Appointment Term: One-year appointment, with potential for renewal based on performance and funding. Starting Date: Available immediately. The exact start date is flexible, with consideration for potential visa processing timelines. Lab and Department Websites: Lab: Drukier Institute: Department of Pediatrics: Salary: Salary is based on years of experience, starting at $74,692, and will comply with the Postdoctoral Union’s Collective Bargaining Agreement. Benefits: A summary of employee benefits can be found on the WCM Human Resources website. Visa Options: Candidates applying for this position could be eligible for a J-1 Exchange visitor visa and the H-1B temporary worker visa. Union Membership: This position is covered under a Collective Bargaining Agreement (CBA) between Weill Cornell Medicine and the International Union, United Automobile, Aerospace, and Agricultural Implement Workers of America (“UAW”), and its Local Union, Weill Cornell Medicine Postdocs United-UAW Local 4100.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Medical Science Liaison (MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers) in the areas of Eisai's interest. The MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The impact that a MSL will have to the organization include the following: a) as representatives of Eisai, a MSL will communicate key information about Eisai, the company and its hhc mission; b) provide key scientific and clinical information about Eisai's products; provide a conduit for communication between Eisai Research and the medical community regarding ideas for future research with Eisai's products; and c) provide corporate value through demonstrated leadership and participation in strategic thinking. Job DescriptionJob SummaryThe Medical Science Liaison (MSL) / Senior Medical Science Liaison (Sr. MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers(healthcare providers, researchers, professional organization leadership, and population-based decision makers) in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of the customer's needs, issues and priorities as they relate to Eisai's strategic business plan. TheMSL/Sr. MSLbrings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The MSL/Sr. MSL will assume a leadership role by teaching, coaching and mentoring new or less experienced MSLs and by assuming responsibility for special projects as they arise.The impact that a MSL/Sr. MSL will have on the organization includes the following: a) as a representative of Eisai,theMSL/Sr. MSL will communicate key information about Eisai, the company and itshhc mission;b) provide key scientific and clinical information about Eisai's products; serve as a conduit for communication between Eisai Research and the medical community regarding ideas for future research with Eisai's products, and c) provide corporate value through demonstrated leadership and participation in strategic thinking.Essential FunctionsProduct/Therapeutic Area Support to External Stakeholders • Act as the primary clinical/scientific resource toHealthcare Providers(HCPs) in the territory for information pertaining to disease state and Eisai's product(s) to ensure awareness and understanding., • Serve as a conduit for accurate and updated clinical, scientific and medical information between Key Opinion Leaders (KOLs)/investigators and the company's Medical Affairs and development groups., • Establish, foster, cultivate and maintain peer relationships with KOLs in the therapeutic areas in which Eisai has current and future interests., • Share knowledge and participate in scientific exchanges and interactions with identified KOLs., • Present clinical, scientific and economic data on Eisai's products and relevant therapeutic areas to population-based decision-makers, as requested., • Support assigned professional congresses in accordance with MSL plan. Be prepared to lead congress coverage efforts, including coordination of all MSL/Sr. MSLactivities, as required and assigned by the management., • Identify and report key scientific, clinical and research insights from KOLs to Medical Affairs., • Develop, implement and present to management plans to support Medical Affairs strategic direction for assigned territory.Training/Education Resource, • Maintain and demonstrate thorough and up-to-date knowledge of disease state, study methodology, clinical information, and product data., • Demonstrate full knowledge of and ability to execute on approved medical platforms/strategies and MSL initiatives., • Serve as technical/scientific subject matter resource to Eisai commercial personnel, if requested., • Teach, coach and mentor new or less experienced MSLs; assist with supervision/performanceevaluation;assume responsibility for special projects. Provide valuable contributions to the organization including leadership and strategic planning.Research Support, • Facilitate review and follow up of submitted Investigator-InitiatedStudies(IISs) and assist with Eisai sponsored trials., • Serve as primary contact to external investigators who submit IISs. The MSL may also be involved with providing recommendations for site selection and scientific expertise to Investigators involved in company sponsored post-marketing studies.Professional Organization Support, • Lead field medical efforts in support of Eisai's collaboration and interactions with professional organizations/societies&advocacy groups, as required.Educational RequirementsRequires an advanced, terminal Doctorate level (D-level) degree in medical or health sciences (e.g. MD, PhD, PharmD, DPH, EdD).Experience, • For MSL 0-3years of experience in the pharma/biotech industry/clinical pharmacist/research/ related experience in a scientific or clinical setting, preferably as MSL., • For Sr. MSL, a minimum of 3 years MSL experience in Oncology/Hematology., • Strong broad-based scientific and pharmaceutical knowledge., • Clinical trial development and drug launch experience is strongly preferred., • Knowledge of treatment guidelines, clinical research processes, FDA regulations and OIG guidelines are required., • Knowledge and experience within Eisai desired therapeutic area(s) and ability to communicate with confidence and accuracy across multiple disease states., • Established relationships with key opinion leaders and knowledge of institutions in therapeutic areas of interest.Other Skills and Abilities:, • Excellent presentation and teaching skills., • Strong overall written and verbal communication skills., • Demonstrated ability to assess issues and think strategically., • Demonstrated ability and experience working cross-functionally., • Demonstrated ability to anticipate, organize, plan and handle multiple changing priorities., • Demonstrated ability to work independently and not requiring close supervision while adhering to Medical Affairs strategic direction., • Ability and interest in coaching and mentoring less experienced MSLs. Ability to lead and motivate team members without a direct reporting relationship., • Ability and interest in leading and participating in projects while effectively balancing projects with field work., • Demonstrated ability to analyze complex situations and proactively identify opportunities/issues;effectivelysolve problems that cross functional boundaries., • Committed to the concept of team and working within the framework of the Medical Affairs Department and Eisai organization, including as it pertains to compliance with policies, systems and practices., • Sound computer skills including applications for word processing, producing slide materials and working with spreadsheets., • Previous established relationships with KOLs in Oncology/Hematology., • Possesses anunderstandingof the pharmaceutical corporate environment and appreciation for commercialoperations,including marketing and sales strategies., • Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends., • Domestic and international travel may include spending time at cancer trial sites/institutions, conference center, offices and hotels., • Possesses and maintains a valid driver's license. As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The annual base salary range for the Medical Science Liaison (MSL) / Senior Medical Science Liaison (Sr. MSL), Oncology - DC, DE, MD and WV is from :$160,100-$210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research and resources that serve all of our enterprise clients. As an ML Sys Research Engineer, you'll work on building out the algorithms for our next-gen Agent RL training platform, support large scale training, and research and integrate state-of-the-art technologies to optimize our ML system. Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Build, profile and optimize our training and inference framework., • Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements., • Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.., • At least 1-3 years of LLM training in a production environment, • Passionate about system optimization, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster, • Experience with multi-node LLM training and inference, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Title: Associate or Senior Editor, Nature Energy Locations:Milan or New York ApplicationDeadline:16.04.2026 About Springer Nature Springer Nature opens the doors todiscovery forresearchers, educators,cliniciansand other professionals. Every day, around the globe, our imprints, books, journals,platformsand technology solutions reach millions of people. For over 180 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities - enabling them to improve outcomes, make progress, and benefit the generations that follow. Visit springernature.com and follow @SpringerNature About the Role Springer Nature, the publisher ofNature, is looking to recruit an Interim Associate or Senior Editor forNature Energy.Launched in January 2016,Nature Energypublishes high-quality research and opinion across all aspects of energy, from its generation and storage to its distribution and management, the needs and demands of different actors, and the impacts that energy technologies and policies have on societies. The journal's scope includes the natural and social sciences as well as economics. We are currently seeking a candidate with broadexpertisein energy social sciences. This may include areas such as energy policy and governance, energy economics and market dynamics, societal and behavior responses to energy technologies and energy transitions, and energy justice and equity. This role can be in ourMilan and New Yorkoffices on a hybrid working model. Role Responsibilities: • Working closely with the Chief Editor and a team of editors on all aspects of the editorial process, including manuscriptselection, commissioning, editing of Reviews, Perspectives, Comments, and other content, as well as writing for the journal., • Determining and championing the representation of relevant social science fields in the journal., • Liaising with relevant research communities through institutional visits, conferences, and other means. Experience, Skills & Qualifications: Essential: • Applicants must have a PhD, with a strongtrack recordin research relevant to the fields covered in the journal., • Broad scientific knowledge and training., • Excellent literary and communication skills., • The ability to absorb new areas of research. Desirable: • Postdoctoral experience., • Previous editorial experience. This position is offered on a fixed-term contract until 31 January 2027. Applicants shouldsubmitthe following application materials: * a CV; * a cover letter explaining their interest in the position, salary expectations, preferred office location, and current notice period; * a selection of three papers from the recent literature,excluding publications in Nature Energy or other Nature Research journals, that the applicant would consider for publication in Nature Energy, together with an assessment and rationale for each selection. US Annualized Base Salary: Associate Editor: $80,000 / Senior Editor: $95,000. The salary offer may vary based on work experience, education, skill level and equity. The US salary range does not align with the salary ranges in other countries when converted to the currency of that country. Springer Nature Skills associated with this job profileinclude:SN-Being Resilient, SN-Collaboration, SN-Communicates Effectively, SN-Critical Scientific Evaluation, SN-Decision Quality, SN-Interpersonal Awareness, SN-Manuscript Assessment, SN-Operational Excellence, SN-Publishing Workflows & Systems, SN-Scientific & Academic Writing, SN-Scientific Comprehension At Springer Nature, our mission is to be part of progress - and that begins with inclusion: of people, perspectives, and ideas. We believe that diverse perspectives drive progress, and we are committed to creating an environment where people and ideas can flourish. If you have any access needs related to disability, neurodivergence ora chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here:___. For more information about career opportunities in Springer Nature please visit___. #LI-ES1 Job Posting End Date: 16-04-2026

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Title: Associate or Senior Editor, Scientific Reports Location: New York, Jersey City, or Philadelphia (Hybrid Working Model) Application Deadline: April 13, 2026 About Springer Nature Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit ___ and follow @SpringerNature About the Role Scientific Reports is a primary research journal from the publishers of Nature, covering all areas of the natural sciences, psychology, medicine, and engineering. Online and open access, Scientific Reports publishes a high volume of scientifically valid, original research papers, without barriers to access. With the support of external Editorial Board Members, papers are rapidly peer-reviewed to ensure they are technically sound. As an Associate or Senior Editor, you will support the Chief Editor and Deputy Editors of Scientific Reports in managing the Editorial Board and editorial decision-making processes across the journal. You will support content delivery by making editorial decisions, managing peer review for specific manuscripts, and helping to expand the reach of the journal through conference attendance and dedicated outreach initiatives. Key performance indicators include rapid publication, sound peer-review practices, and high levels of service to authors, reviewers, and Editorial Board Members (EBMs). This is a fantastic opportunity for an individual with a passion for science to break into an editorial career on a high-profile, fast-paced, multidisciplinary journal. The position is offered on a full-time basis and will be based in our New York, Jersey City, or Philadelphia office on a hybrid working basis. Responsibilities * Assist in the daily management of the journal workflow, acting as handling editor on manuscripts, providing rapid, constructive peer-review and publication decisions * Contribute to content development by working with the Editorial Board on the commissioning and publication of subject-specific collections * Establish and maintain relationships with EBMs; support the recruitment and training of new EBMs where required * Promptly resolve pre- and post- publication issues raised by staff, EBMs and readers (e.g. authorship, scope, ethics and consent, misconduct) * Community outreach, to EBMs, and potential authors, including participation at international and national conferences, Editorial Board meetings and lab visits as required * Input to policy development initiatives and implement editorial policy Experience, Skills & Qualifications * PhD-level research experience (Life sciences) * Thorough understanding of the scientific research community and its needs * Strong interpersonal and communication skills * Sound knowledge of and interest in science in general * Highly self-motivated, resourceful and achievement-oriented * Strong analytical and problem-solving skills * Strong workload management and organisational skills * Active, supportive team player with an adaptable and flexible approach * Willingness to travel To Apply: Please submit an updated CV, along with a cover letter introducing yourself and explaining why you are interested in this role Application Deadline: April 13, 2026 Springer Nature US provides a comprehensive and competitive benefits package which includes the benefit offerings listed below: * Medical, Dental and Vision * 401(k) with company match and contribution * Hybrid office working policy, Summer Hours, and paid time off * Flexible Spending and Commuter programs * Multiple Life insurance options * Disability coverage * Tuition Assistance * Voluntary benefits: Identity Theft Protection, Pet Insurance, and Legal Assistance Insurance * Employee Assistance Program * Family-friendly benefits and a variety of employee discounts * An array of Employee Social Networks US Annualized Base Salary Range: Associate Editor - $80,000 / Senior Editor - $95,000. The salary offer may vary based on work experience, education, skill level, and equity. The US salary range does not align with the salary ranges in other countries when converted to the currency of that country. Springer Nature is an Equal Opportunity Employer that complies with the laws and regulations set forth in the following ___ poster. At Springer Nature, our mission is to be part of progress - and that begins with inclusion: of people, perspectives, and ideas. We believe that diverse perspectives drive progress, and we are committed to creating an environment where people and ideas can flourish. If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here: ___ For more information about career opportunities in Springer Nature please visit ___ #LI-EG1 Job Posting End Date: 14-04-2026

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 1-3 years of building with LLMs in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: We are seeking a highly motivated and strategic Deputy Editor to join Wiley's Advanced team, serving as Deputy Editor [Environmental Engineering] for our flagship journal, Advanced Science, and contribute to other related Advanced titles. The ideal candidate will be a dedicated Advanced portfolio ambassador with an extensive global network and experience in Environmental Engineering, driving strategic initiatives that bridge groundbreaking research communities and shape how interdisciplinary science is published and shared worldwide. The Deputy Editor actively participates in the peer review process and decision-making for submitted manuscripts while ensuring adoption of best practices and the highest ethical standards in publishing. How you will make an impact: • Develop and execute strategic initiatives to grow Wiley's Advanced Portfolio within Environmental Engineering and the broader environmental sciences globally., • Commission high-quality papers and build collaborative relationships with leading researchers through community engagement to enhance content quality and brand influence., • Collaborate with the global editorial team to manage manuscripts submitted from related subject areas for Advanced Science and the related Advanced journals., • Collaborate closely with other teams to devise and implement brand-enhancing events and initiatives for both short-term and long-term success., • Lead generation and ideas for subject-related products passed on to appropriate colleagues What we look for: • PhD in Environmental Engineering, preferably in the context of carbon capture, climate adaptation, environmental pollution or related areas. Post-doctoral experience would be preferred., • Manuscript handling experience (prescreening, peer review, final decision, appeals and integrity cases)., • Subject-Matter Expertise (academic)., • Strong global network within research communities and proven track record of engaging with top-tier research talents., • Displays high integrity and honesty., • Mindset with ability to identify opportunities and convert strategic visions into actionable plans., • Excellent communication and relationship-building skills with both internal and external stakeholders., • Love to travel (internationally). More about the Job Description: The Deputy Editor is entrusted with the strategic development and execution of initiatives aimed at growing Wiley's Advanced Portfolio within the disciplines of Environmental Engineering and related Environmental Science disciplines. With an extensive global network, the Deputy Editor serves as a dedicated ambassador and advocate for Wiley's Advanced Portfolio in the Environmental Engineering and Sustainability research community. This role is pivotal for the advancement and expansion of a critically important brand, ensuring alignment with and achievement of the company's strategic goals and objectives. The Deputy Editor is tasked with converting strategic visions into actionable plans, identifying and seizing opportunities to meet the targets set for Research Publishing. In close collaboration with the marketing team, they will devise and implement a range of brand-enhancing events and initiatives aimed at both short-term and long-term success. The Deputy Editor will concentrate on enriching the content and elevating the brand profile of Advanced Science, effectively directing excess submissions to relevant clusters within Wiley's Environmental Sciences portfolio. Additionally, the Deputy Editor will help to launch one or more new spin off titles in the relevant subjects. By actively engaging with research communities, the Deputy Editor is committed to commissioning high-quality papers, extending the brand's influence, and forging positive, collaborative relationships with leading researchers. They approach their work with an understanding of the needs of both external and internal stakeholders, driving forward initiatives that connect with top-tier research talents. The Deputy Editor will provide regular updates to the Senior Manager on community engagement efforts and journal development progress. These reports will include evidence of the impact made by the Environmental Engineering initiatives and demonstrate the successful delivery of strategic goals for Wiley's Advanced Portfolio. They will also outline programs and strategies designed to attract and retain authors, as well as to enhance the growth of high-quality content within Advanced Science, across the Advanced portfolio, and the related subject clusters. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. Wiley proactively displays target base pay range for United Kingdom, Canada and USA based roles. When applying, please attach your resume/CV to be considered. #LI-YZ1 Job Posting Title: Editor in Chief / Deputy Editor (Environmental Engineering) Location: Beijing, CHN

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Global Associate Director, will lead projects and contribute to the payer evidence strategy for key products in the Neurology or Oncology portfolio under the direction of the GV&A Executive Director and in collaboration with other GV&A and cross functional team members. This is an experienced and seasoned individual, who has worked at least 5 years in the pharmaceutical industry or consulting within the area of health outcomes and health economics and with a Global remit. The role requires a strong technical background in evaluating clinical data and leading HEOR analyses such as systematic literature reviews, indirect treatment comparison, network meta analysis and various data syntheses including compiling and reviewing reports and presentations for internal and external payer use. A pre-requisite for this role is strong collaboration, communication and training skills to adeptly explain and disseminate strategy, projects and results. Experience and interest in building and maintaining internal stakeholder relationships is key. It is expected that the Associate Director will work independently to complete analyses while proactively providing updates to the project team and according to timelines and requirements. The candidate should have a good working knowledge of the range of healthcare reimbursement systems and reimbursement guidelines. This position is ideal for a candidate with a strong modeling and analytic background, desiring more exposure to reimbursement and value strategy development. Essential Functions Key deliverables development: • Global economic models and report, • Country adaptations of economic models, • Indirect treatment comparisons, network meta analyses, • Post-hoc trial analyses, • Global value dossiers, • Literature reviews Strategic business functions: • Collaborations with other departments (biostats, clinical, medical, commercial), • Strategic evidence gap assessment, • Contribution to product evidence generation plan, • Management of project vendors, • Contract & budget tracking Requirements • A postgraduate degree such as PhD, Pharm D, MPH in the area of Health Outcomes, or equivalent level of demonstrated experience is required., • 5+ years' experience in health outcomes is required., • Previous Global HEOR / market access experience is required., • Previous experience in Alzheimer's / dementia is preferred, • Competence in carrying out a variety of HEOR studies using a range of standard techniques, • Ability to work cross-functionally within teams, • Strong Excel modelling skills, • Effective analytical/problem solving skills, including generation of original and innovative ideas and solutions, • Action-oriented, customer-focused, with effective prioritization, goal-setting and time management skills, • Experience in the design and programming of claims analysis and observational studies is desirable, • Effective interpersonal skills; projection of professional image and credibility; teamwork oriented and inclusive, • Record of peer-reviewed publication of original work in HEOR is desirable Eisai Salary Transparency Language: The annual base salary range for the Associate Director, Global Value & Access is from :$178,200-$233,900 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Job Description Lighthouse Lab Services is proud to support a high-complexity clinical lab in Livingston, NJ who seeks to fill a Technical Supervisor to add their operations. About the Role The Technical Supervisor, Genomics will fulfill the duties and responsibilities for a High Complexity Molecular Pathology Laboratory. The role does not supervisor staff and reports to the Sr Manager Technical Services. The ideal candidate will have a deep technical understanding of high throughput molecular diagnostics and apply them to our Preimplantation Genetic Testing workflows. Monitoring performance, establishing and maintaining the quality control program, and ensuring successful implementation of new clinical tests. About the Client The client offers an opportunity to be part of a mission-driven organization at the forefront of women's health and fertility innovation. Based in Livingston, NJ the team works with cutting-edge technologies supporting IVF, genomics, and surgical care, directly impacting patient outcomes. For professionals seeking meaningful work in a growing, technology-driven environment, the client provides the chance to contribute to advancements in reproductive medicine while building a long-term, impactful career. About Livingston, NJ Livingston offers the best of both worlds; an engaging professional environment paired with an exceptional quality of life. Livingston is known for its safe, welcoming community, top-rated schools, and abundant parks and green spaces, all while being just 30-40 minutes from New York City. Professionals benefit from access to leading healthcare systems, as well as a wide range of dining, shopping, and recreational options. For those seeking a role where they can grow their career while enjoying a balanced, suburban lifestyle with convenient access to a major metropolitan hub, Livingston is a great place to lay down roots. Essential Functions and Accountabilities • Technical and scientific oversight of the laboratory including selection of appropriate test methodology. b. Verification of test procedure analytical performance., • Establish and maintain the quality control program including acceptance criteria throughout the entire process from raw material receipt to reporting of test results., • Resolve technical problems and ensure that remedial actions are taken whenever test systems deviate from established specifications., • Experience in a regulated clinical laboratory environment meeting CLIA/CAP/NYS DOH/ISO 15189/ISO 13485 standards., • Perform hands-on, wet lab experiments to evaluate existing genetic testing assays, leading to assay improvements. Use scientific methods and best practices for experimental protocol design, execution, data analysis, and interpretation. Liaise with R&D team to ensure successful new product introduction by employing rigorous validation protocols and methods., • Analyze and interpret genetic testing output from data analysis pipelines to assess data quality, support the interpretation of sequencing results, and identify trends for optimization. Aid in troubleshooting and root-cause analysis, and devise solutions and approaches for solving technical problems to improve genetic testing performance in an inclusive and collaborative fashion., • Divided between office and clinical laboratory work environment., • Position may at times require the employee to work in areas with bloodborne pathogens or where hazardous materials and/or infectious diseases are present., • At times it will entail prolonged sitting in front of a computer., • In-depth technical knowledge, proficiency and prior experience with molecular biology, genomics, and associated discipline-specific analytical tools, as well as statistical methods is required. Experience with Sanger and Next Generation Sequencing methods and output required., • Hands-on experience with bioinformatics and bioinformatics tools for sequencing data to enable experimental iteration independent of external support will provide an advantage., • Experience in process, method, or assay development and optimization with thorough understanding of verification and validation methods is required. Familiarity with more advanced techniques like DOE is an advantage., • Ability to plan activities and lead technical teams or work independently with minimal direction - required., • Experience with Good Documentation Practices and ability to maintain detailed records of experiments and outcomes required., • Experience writing and authorizing SOPs, test methods, and reports required., • Advanced computer skills (Microsoft Office, Minitab, CAD or equivalent) are required., • PhD biological sciences with specialized training and/or appropriate experience in molecular pathology, • Must be able to fulfill the requirements to hold the technical supervisor position in a high complexity molecular pathology laboratory, • Minimum of 5 years' experience in a clinical laboratory setting with a minimum of 2 years in molecular pathology, • Experience with CAP/CLIA, required, • ISO 15189 and ISO 13485 experience preferred, • ASCP certification, preferred, • $100K-$180K Depending on Experience, • First shift M-F 8:30am-5pm, • Full medical, dental, vision benefits, • 401K w/ match It is the policy of Lighthouse Lab Services to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Lighthouse Lab Services will provide reasonable accommodations for qualified individuals with disabilities. Lighthouse Lab Services |844-914-0785|lighthouselabservices.com #LLS3

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. This includes research around synthetic environments from task definitions, building agents for trace analysis, and contributing to a cutting edge framework that automatically hill-climbs agent-building from an eval set. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Build synthetic data pipelines to generate enterprise environments to use for RL post-training, • Create agents to convert traces from production into actionable insights to use to improve agents, • Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms, • 3+ years of building with LLMs in a production environment, • Clear experiences with constructing high quality data to use to improve an LLM/Agent, • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Medical Science Liaison (MSL or Sr. MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with KOLs/HCPs, researchers, pharmacists, and decision makers in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of Alzheimer's disease (AD), including the needs, issues and priorities as they relate to Eisai's strategic medical plan. MSLs will be trained and certified on AD and Eisai's dementia pipeline data in order to fulfill educational gaps with KOLs/HCPs and gather medical insights to refine medical strategy and continue to close the gap on unmet educational needs for AD HCPs. MSLs also assume responsibility for special internal/external projects as they arise. The impact that a MSL will have on the organization includes the following: a) as a representative of Eisai, a MSL will communicate key information about Eisai, the company and its hhc mission; b) provide key scientific and clinical information about Eisai's products/pipeline; serve as a conduit for communication between Eisai Research and the medical community regarding ideas for future research, and c) provide corporate value through demonstrated leadership, teamwork, participation in strategic thinking, and special projects ESSENTIAL FUNCTIONS:\ Product/Therapeutic Area Support to Stakeholders • Act as the primary clinical/scientific resource to HCPs in the territory for information pertaining to disease state and Eisai's product(s) to ensure awareness and understanding., • Serve as a conduit for accurate and updated clinical, scientific and medical information between Key Opinion Leaders (KOLs)/investigators and the company's Medical Affairs and development groups., • Establish, foster, cultivate and maintain peer relationships with KOLs in AD and dementia in which Eisai has current and future interests., • Present clinical and scientific data on Eisai's products and relevant therapeutic areas, as requested., • Support assigned professional congresses in accordance with MSL plan. Be prepared to lead congress coverage efforts, including coordination of all MSL activities., • Identify and report key scientific, clinical and research insights from KOLs to Medical Affairs. Training/Education Resource • Maintain and demonstrate thorough and up-to-date knowledge of disease state, study methodology, clinical information, and product data, • Demonstrate full knowledge of and ability to execute on approved medical platforms/strategies and MSL initiatives, • Serve as technical/scientific subject matter resource to Eisai cross functional partners, • Teach, coach and mentor new or less experienced MSLs; assist with supervision/performanceevaluation; assume responsibility for special projects. Provide valuable contributions to the organization including leadership and strategic planning., • Ability to lead and motivate team members without a direct reporting relationship Research Support • Facilitate review and follow up of submitted Investigator-InitiatedStudies (IISs) and assist with Eisai sponsored trials., • The MSL may also be involved with providing recommendations for site selection and scientific expertise to Investigators involved in company sponsored studies. REQUIREMENTS: Educational Requirements: Advanced terminal D degree in medical or health sciences (e.g MD/DO, PhD, PharmD) Experience: • 2-3 years MSL experience in neurology or complex disease states; prior dementia or AD research experience strongly preferred, 3 yrs+ required for Sr MSL title, • Established relationships with KOLs in neurology, and knowledge of institutions focused on AD preferred, • 3-5 years industry/ clinical research/ related experience in a scientific or clinical setting., • Strong broad-based scientific and pharmaceutical knowledge, • Clinical trial development and drug launch experience is strongly preferred, • Knowledge of treatment guidelines, clinical research processes, FDA regulations, pharma regulations/compliantpractices, and OIG guidelines are required., • Knowledge and experience within AD and ability to communicate with confidence and accuracy across multiple dementia disease states. Other Skills and Abilities: • Interested and skilled in communicating complex data sets and the ability to be seen as a scientific peer while educating top KOLs., • Committed to the concept of team and working within the framework of the Medical Affairs, • Strong overall written and verbal communication skills. Keen understanding of your audience and ability to tailor information appropriately., • Highly skilled in the art of strategic conversation along with a demonstrated ability to assess issues, as they arise and adapt appropriately., • Demonstrated ability to anticipate, organize, plan and handle multiple priorities, while adapting to the needs of the company and KOLs., • Has an ability to work independently and not require close supervision while adhering to compliance/regulatorypolicies., • Interest in leading and participating in projects while effectively balancing field work., • Demonstrated ability to proactively identify opportunities/challenges,willingness to communicate these challenges to leadership while working together to overcome them., • Seamlessly adapts to field situations and effectively problem solves within your territory, • Experience working in matrix environment including cross-functional commercial partners, with an understanding of the pharmaceutical corporate environment and appreciation for Commercial Operations, including Marketing and Sales strategies, • Sound computer/technology skills including applications for word processing, producing slide materials, working with spreadsheets, and video conferencing, • Possesses and maintains a valid driver's license and clean driving record., • Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends., • This is a field-based position. The employee is required to set up a home-based office within their defined territory. Salary range for MSL is $144,300.00 - $189,400 USD Annual Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The annual base salary range for the MSL/Sr. MSL, Neurology - Alzheimer's Disease, New England (Eastern MA, ME, NH, RI, VT) - Field-based is from :$160,100-$210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Medical Science Liaison (MSL or Sr. MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with KOLs/HCPs, researchers, pharmacists, and decision makers in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of Alzheimer's disease (AD), including the needs, issues and priorities as they relate to Eisai's strategic medical plan. MSLs will be trained and certified on AD and Eisai's dementia pipeline data in order to fulfill educational gaps with KOLs/HCPs and gather medical insights to refine medical strategy and continue to close the gap on unmet educational needs for AD HCPs. MSLs also assume responsibility for special internal/external projects as they arise. The impact that a MSL will have on the organization includes the following: a) as a representative of Eisai, a MSL will communicate key information about Eisai, the company and its hhc mission; b) provide key scientific and clinical information about Eisai's products/pipeline; serve as a conduit for communication between Eisai Research and the medical community regarding ideas for future research, and c) provide corporate value through demonstrated leadership, teamwork, participation in strategic thinking, and special projects ESSENTIAL FUNCTIONS: Product/Therapeutic Area Support to Stakeholders • Act as the primary clinical/scientific resource to HCPs in the territory for information pertaining to disease state and Eisai's product(s) to ensure awareness and understanding., • Serve as a conduit for accurate and updated clinical, scientific and medical information between Key Opinion Leaders (KOLs)/investigators and the company's Medical Affairs and development groups., • Establish, foster, cultivate and maintain peer relationships with KOLs in AD and dementia in which Eisai has current and future interests., • Present clinical and scientific data on Eisai's products and relevant therapeutic areas, as requested., • Support assigned professional congresses in accordance with MSL plan. Be prepared to lead congress coverage efforts, including coordination of all MSL activities., • Identify and report key scientific, clinical and research insights from KOLs to Medical Affairs. Training/Education Resource • Maintain and demonstrate thorough and up-to-date knowledge of disease state, study methodology, clinical information, and product data, • Demonstrate full knowledge of and ability to execute on approved medical platforms/strategies and MSL initiatives, • Serve as technical/scientific subject matter resource to Eisai cross functional partners, • Teach, coach and mentor new or less experienced MSLs; assist with supervision/performance evaluation; assume responsibility for special projects. Provide valuable contributions to the organization including leadership and strategic planning., • Ability to lead and motivate team members without a direct reporting relationship Research Support • Facilitate review and follow up of submitted Investigator-Initiated Studies (IISs) and assist with Eisai sponsored trials., • The MSL may also be involved with providing recommendations for site selection and scientific expertise to Investigators involved in company sponsored studies. REQUIREMENTS: Educational Requirements: Advanced terminal D degree in medical or health sciences (e.g MD/DO, PhD, PharmD) Experience: • 2-3 years MSL experience in neurology or complex disease states; prior dementia or AD research experience strongly preferred, 3 yrs+ required for Sr MSL title., • Established relationships with KOLs in neurology, and knowledge of institutions focused on AD preferred., • 3-5 years industry/ clinical research/ related experience in a scientific or clinical setting., • Strong broad-based scientific and pharmaceutical knowledge., • Clinical trial development and drug launch experience is strongly preferred, • Knowledge of treatment guidelines, clinical research processes, FDA regulations, pharma regulations/compliant practices, and OIG guidelines are required., • Knowledge and experience within AD and ability to communicate with confidence and accuracy across multiple dementia disease states. Other Skills and Abilities: • Interested and skilled in communicating complex data sets and the ability to be seen as a scientific peer while educating top KOLs., • Committed to the concept of team and working within the framework of the Medical Affairs., • Strong overall written and verbal communication skills. Keen understanding of your audience and ability to tailor information appropriately., • Highly skilled in the art of strategic conversation along with a demonstrated ability to assess issues, as they arise and adapt appropriately., • Demonstrated ability to anticipate, organize, plan and handle multiple priorities, while adapting to the needs of the company and KOLs., • Has an ability to work independently and not require close supervision while adhering to compliance/regulatory policies., • Interest in leading and participating in projects while effectively balancing field work., • Demonstrated ability to proactively identify opportunities/challenges, willingness to communicate these challenges to leadership while working together to overcome them., • Seamlessly adapts to field situations and effectively problem solves within your territory., • Experience working in matrix environment including cross-functional commercial partners, with an understanding of the pharmaceutical corporate environment and appreciation for Commercial Operations, including Marketing and Sales strategies, • Sound computer/technology skills including applications for word processing, producing slide materials, working with spreadsheets, and video conferencing, • Possesses and maintains a valid driver's license and clean driving record., • Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends., • This is a field-based position. The employee is required to set up a home-based office within their defined territory. Salary range for MSL is $144,300.00 - $189,400 USD Annual Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The annual base salary range for the MSL/Senior Medical Science Liaison, Neurology (Alzheimer's Disease) - Field Based, Northern and Central Florida - Field Based is from :$165,300-$216,900 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Medical Science Liaison (MSL or Sr. MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with KOLs/HCPs, researchers, pharmacists, and decision makers in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of Alzheimer's disease (AD), including the needs, issues and priorities as they relate to Eisai's strategic medical plan. MSLs will be trained and certified on AD and Eisai's dementia pipeline data in order to fulfill educational gaps with KOLs/HCPs and gather medical insights to refine medical strategy and continue to close the gap on unmet educational needs for AD HCPs. MSLs also assume responsibility for special internal/external projects as they arise. The impact that a MSL will have on the organization includes the following: a) as a representative of Eisai, a MSL will communicate key information about Eisai, the company and its hhc mission; b) provide key scientific and clinical information about Eisai's products/pipeline; serve as a conduit for communication between Eisai Research and the medical community regarding ideas for future research, and c) provide corporate value through demonstrated leadership, teamwork, participation in strategic thinking, and special projects ESSENTIAL FUNCTIONS: Product/Therapeutic Area Support to Stakeholders • Act as the primary clinical/scientific resource to HCPs in the territory for information pertaining to disease state and Eisai's product(s) to ensure awareness and understanding., • Serve as a conduit for accurate and updated clinical, scientific and medical information between Key Opinion Leaders (KOLs)/investigators and the company's Medical Affairs and development groups., • Establish, foster, cultivate and maintain peer relationships with KOLs in AD and dementia in which Eisai has current and future interests., • Present clinical and scientific data on Eisai's products and relevant therapeutic areas, as requested., • Support assigned professional congresses in accordance with MSL plan. Be prepared to lead congress coverage efforts, including coordination of all MSL activities., • Identify and report key scientific, clinical and research insights from KOLs to Medical Affairs. Training/Education Resource • Maintain and demonstrate thorough and up-to-date knowledge of disease state, study methodology, clinical information, and product data, • Demonstrate full knowledge of and ability to execute on approved medical platforms/strategies and MSL initiatives, • Serve as technical/scientific subject matter resource to Eisai cross functional partners, • Teach, coach and mentor new or less experienced MSLs; assist with supervision/performance evaluation; assume responsibility for special projects. Provide valuable contributions to the organization including leadership and strategic planning., • Ability to lead and motivate team members without a direct reporting relationship Research Support • Facilitate review and follow up of submitted Investigator-Initiated Studies (IISs) and assist with Eisai sponsored trials., • The MSL may also be involved with providing recommendations for site selection and scientific expertise to Investigators involved in company sponsored studies. REQUIREMENTS: Educational Requirements: Advanced terminal D degree in medical or health sciences (e.g MD/DO, PhD, PharmD) Experience: • 2-3 years MSL experience in neurology or complex disease states; prior dementia or AD research experience strongly preferred, 3 yrs+ required for Sr MSL title., • Established relationships with KOLs in neurology, and knowledge of institutions focused on AD preferred., • 3-5 years industry/ clinical research/ related experience in a scientific or clinical setting., • Strong broad-based scientific and pharmaceutical knowledge., • Clinical trial development and drug launch experience is strongly preferred, • Knowledge of treatment guidelines, clinical research processes, FDA regulations, pharma regulations/compliant practices, and OIG guidelines are required., • Knowledge and experience within AD and ability to communicate with confidence and accuracy across multiple dementia disease states. Other Skills and Abilities: • Interested and skilled in communicating complex data sets and the ability to be seen as a scientific peer while educating top KOLs., • Committed to the concept of team and working within the framework of the Medical Affairs., • Strong overall written and verbal communication skills. Keen understanding of your audience and ability to tailor information appropriately., • Highly skilled in the art of strategic conversation along with a demonstrated ability to assess issues, as they arise and adapt appropriately., • Demonstrated ability to anticipate, organize, plan and handle multiple priorities, while adapting to the needs of the company and KOLs., • Has an ability to work independently and not require close supervision while adhering to compliance/regulatory policies., • Interest in leading and participating in projects while effectively balancing field work., • Demonstrated ability to proactively identify opportunities/challenges, willingness to communicate these challenges to leadership while working together to overcome them., • Seamlessly adapts to field situations and effectively problem solves within your territory., • Experience working in matrix environment including cross-functional commercial partners, with an understanding of the pharmaceutical corporate environment and appreciation for Commercial Operations, including Marketing and Sales strategies, • Sound computer/technology skills including applications for word processing, producing slide materials, working with spreadsheets, and video conferencing, • Possesses and maintains a valid driver's license and clean driving record., • Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends., • This is a field-based position. The employee is required to set up a home-based office within their defined territory. Salary range for MSL is $144,300.00 - $189,400 USD Annual Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The annual base salary range for the Medical Science Liaison (MSL) / Senior Medical Science Liaison (Sr. MSL), Alzheimer's Disease (Northern CA) - Field Based is from :$160,100-$210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. Eisai is searching for a creative, resourceful, integrative thinker with deep expertise in PET imaging within the neurology space to support clinical and translational research. As the Associate Director, Translational Imaging, Clinical Pharmacology & Translational Medicine, the focus will be primarily on PET imaging to design and plan clinical imaging studies for various neurology clinical programs and interact with imaging vendors, help manage imaging studies, participate in data analysis, modeling and presentation of results to International Project Teams. Stay abreast of the PET neuroimaging field in neuroscience and provide guidance for selection of methods of study design and analysis for PET tracers. Provide a global resource for education, preclinical and translational strategy and application of PET methodology. Interact with key opinion leaders and CROs for successful execution of translational PET imaging studies. Essential Functions • Quantitate and interpret imaging data, • Support other Clinical imaging research activities including PET tracer identification, development and study utilization, • External collaboration with Key Opinion Leaders in neuroimaging, • Interact with Imaging CROs, • Regulatory interactions regarding PET imaging in clinical development, • Contribute to design, editing, writing and review of protocols and technical imaging documents (e.g., imaging review charters), • Work with data scientists and statisticians on analysis plans involving imaging endpoints Requirements • PhD in relevant field plus at least 5 years of industry or academic experience, • Expert ability to plan, optimize and conduct PET imaging studies, • Good knowledge of PET instrumentation and acquisition protocols, • Ability to quantitate and interpret PET imaging data, • Ability to support other imaging research activities, • Experience communicating results to the project team members, • Experience preparing reports and giving presentations internally and externally, • Experience working collaboratively with team members, global unit members; key opinion leaders and CROs., • Proactive, self-motivated and independent working style. Used to work in a multidisciplinary team and understand the needs and goals of the broader organization #LI-CC Eisai Salary Transparency Language: The annual base salary range for the Associate Director, Translational Imaging, Clinical Pharmacology & Translational Medicine is from :$169,400-$222,400 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Technical Project Manager, you will lead the implementation and validation of evaluation frameworks for assessing both AI systems in clinical and mental health research contexts, and the symptoms of their users. You will own the distillation of clinical definitions into evaluation rubrics, combining applied clinical science with evaluation operations to ensure that rubrics are clinically grounded and operationally scalable. You will work closely with both the clinical and data science teams, ensuring knowledge is effectively operationalized to the satisfaction of both specializations. Supervising a small team of data science and software professionals, you will establish reliability standards, oversee the design of metrics for use in multi-rater evaluation systems, and ensure scientific rigor through quality assurance, versioning, and comprehensive documentation. This is a full-time, exempt position. A hybrid schedule will be required for employees based in the New York Tri-State area or California Bay Area, with a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. Remote positions will be considered for candidates located outside of these regions . The in-office requirement and schedule are subject to change based on the needs of the program and the organization. Please note: We are not currently able to employ individuals residing in Ohio, North Dakota, Washington, or Wyoming. You Will: • Translate clinical symptom evaluations and manualized therapeutic protocols into reliable, consistent, precise, and scorable evaluation criteria., • Design and implement metadata standards and protocols for multi-rater clinical evaluation systems, enabling crowd-sourced ratings from diverse clinical experts., • Set reliability standards and adjudication logic for resolving disagreements among clinical annotators, ensuring consistency across large-scale annotation efforts., • Establish and enforce quality assurance processes, versioning systems, and comprehensive documentation for all evaluation rubrics and measurement frameworks., • Contribute to scientific publications, white papers, and technical documentation of measurement methodologies and validation studies., • Collaborate with clinical leadership to ensure evaluation criteria accurately reflects clinical best practices, safety standards, and clinician feedback., • Supervise and mentor a small team of data analysts and engineers, providing guidance on evaluation methodologies, statistical analysis, and rubric implementation., • Collaborate with other technical project stakeholders, to ensure that technical definitions and requirements of all curated rubrics and resources are being met. You Have: • PhD, PsyD, MD, or equivalent experience in measurement science, psychometrics, biostatistics, clinical psychology, epidemiology, or related field, • 8+ years of applied evaluation experience in clinical research, health outcomes research, or psychometric assessment, • 5+ years of experience with patient evaluation, clinical rating scales, or performance assessment frameworks, • 5+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. Experience can be concurrent with education., • 5+ years of experience with applied statistics, including reliability analysis, classical test theory, item response theory, or factor analysis., • Demonstrated leadership of multi-rater or benchmark systems. #LI-hybrid #LI-remote Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our ___. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at ___ This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.