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Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK: Chief Attending, Radiochemistry & Imaging Sciences Service • Spearhead the development of innovative radiochemistry research initiatives aimed at the clinical translation of scientific discoveries into patient care., • Collaborate closely with the Chief of the Molecular Imaging and Therapy Service (MITS) and the Radiochemistry and Molecular Imaging Probe (RMIP) Core to align radiochemistry efforts with clinical operations and translational research priorities., • Lead a multidisciplinary team advancing translational radiochemistry and radiopharmaceutical science, overseeing their own laboratory and coordinating research activities across the Service., • Provide scientific and strategic vision for the design, synthesis, evaluation and clinical translation of novel radiotracers and radiopharmaceuticals for diagnostic and therapeutic applications., • Foster a collaborative, interdisciplinary environment by mentoring faculty, trainees and technical staff and promoting excellence in radiochemistry research and development. Key Requirements • Nationally and internationally recognized scientific leader with a proven record of innovation in the development, validation, and clinical translation of diagnostic and theranostic probes for molecular imaging and therapy., • Experience with core facility operations including cyclotron production, radiolabeling, regulatory compliance and the ability to strategically integrate these capabilities into research and clinical translation., • Demonstrated success in building collaborative teams and partnerships across clinical, research, and translational domains., • Excellent organizational, leadership, and communication skills, with the ability to articulate vision, set priorities, and advance institutional research and clinical goals. Core Skills • PhD in Radiochemistry (or closely related discipline) with deep expertise in radiochemistry, molecular probe design, and radiopharmaceutical development for imaging and therapy., • Strong record of peer-reviewed publications and research funding., • Experience with technology transfer, intellectual property, or industry collaborations preferred., • Commitment to mentorship, education, and faculty development. Application Instructions Submit C.V., letter of interest, and references in your application submission to: Contact Name: Valentina Salkow Contact Email: Pay Range: $300,000 - $440,000 Additional Details about the positions Today, the Service combines state-of-the-art cyclotron production and radiolabeling with research in tumor-targeting probes, multi-modality imaging (PET, MRI, optical) and targeted radionuclide therapies to deliver precision cancer diagnosis and therapy. The Service houses eleven independent research labs- each with their own individual research portfolios. Each year, the Service's work results in novel first-in human trials. Helpful links: #LI Onsite Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Join the Lee Lab: Cancer Genome History & Therapeutics at MSK. We study the mutational processes and genomic rearrangements that drive cancer evolution and therapy resistance using high-throughput sequencing as the main toolkit. We are seeking a highly motivated postdoctoral fellow with strong expertise in computational biology to lead projects at the interface of cancer biology, single-cell genomics, and clinical oncology. Project focus: You will analyze single-cell whole-genome sequencing data jointly with other multi-omic datasets from i) genetically engineered mouse models, ii) PDX/PDO systems, and iii) clinical tumor samples to define evolutionary trajectories of extrachromosomal circular DNA-mediated oncogene amplification. This position offers a unique opportunity to work in a highly collaborative and translational environment, closely partnering with experimental scientists and clinician investigators. The position is supported by a grant from the Burroughs Wellcome Fund. What you will do: * Lead computational analyses of high-throughput sequencing datasets, including scWGS and multi-omic datasets * Apply/adapt/develop novel computational approaches to study mutational processes, structural variation, and clonal evolution in cancer * Collaborate on experimental design and interpretation with wet-lab and clinical teams. * Integrate genomic data with rich clinical annotation to uncover biologically and clinically meaningful insights * Drive preparation of high-impact manuscripts and present findings at major conferences * Help shape new research directions at the intersection of cancer genomics and therapy resistance Who you are: * Deeply motivated to understand how cancer cells evolve, both intrinsically and under therapeutic pressure * Passionate about applying computational approaches to answer fundamental biological and clinically relevant questions * Actively follows and critically engages with both classic and recent studies in the scientific literature. * Experienced in working with large-scale sequencing datasets and developing reproducible, well-documented analytical workflows * Detail-oriented, able to identify systemic biases in data and quickly identify their source * Collaborative, with the ability to communicate effectively across computational, experimental, and clinical disciplines Who we are: * The Lee Lab is a newly established computational research group within MSK Computational Oncology focused on the mutational mechanisms and rearrangement processes that drive cancer genome evolution. We seek to uncover how and why cancer genomes acquire their complex architectures and how they continue to evolve in patients undergoing treatment. Ultimately, our goal is to identify strategies to intercept this maladaptive evolution and restore physiology. Our most recent story here: ___ * Our work leverages cutting-edge sequencing technologies, including single-cell whole-genome sequencing, long-read sequencing, and multi-omic approaches. Beyond applying state-of-the-art methods, we actively adapt and extend them to address fundamental questions in cancer biology. Many of our projects are in collaboration with experimental investigators. * We are committed to building a collaborative, supportive, and intellectually vibrant lab environment. Requirements: * One of the following academic qualifications: * PhD in Computational Biology, Bioinformatics, Genomics, Computer Science, or a related field * MD with substantial research training in quantitative biology and a strong publication record * Strong programming skills in Python and/or R * Experience in high-throughput sequencing data analysis * Familiarity with Unix/Linux environments and version control * Prior experience with single-cell genomics and/or cancer genomics is highly desirable How to Apply: Please email ___ and add [POSTDOC] in the subject line. Please include the following information in your email as your letter of interest: * A link to 1-2 papers that exemplify your contribution to science, along with a brief description of your specific contribution to each. * Examples of your code on Github that allow us to evaluate your computational skills * Your CV as an attachment Pay Range: $72,000 - $96,405 Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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 Leader, Alzheimer is responsible for understanding the strategic alignment between marketing and sales leaders and implementing training of strategies to enable field facing teams to execute strategies and tactics. The role will include oversight of recruiting, retaining, and developing the product and field training team, leading in a matrix organization, conducting effective needs analyses to identify and develop training needs and to measure and communicate the impact of training solutions broadly across the organization. A key function of this role is to gain insights from the field facing team and communicate these insights back to internal partners to impact strategy and overall Eisai organizational goals for the assigned business group. The Leader in this role will have frequent and direct communication with the Leader, CT&D to ensure that team initiatives, development and priorities are communicated regularly and aligned within the broader CT&D organization. Effective execution in this role will have a measurable impact on the organization by enhancing the capabilities of the Sales Team through initial product training, advanced product training, improved selling skills, disease state knowledge, clinical and business acumen application of the sales model and adhoc support. Additionally, enhancing, and elevating sales results and the capabilities of the Sales Force through the leadership of the field training managers and their effectiveness via field rides and coaching. A key function of this role is fostering an environment for growth and developing team members to perform effectively in their roles. He/she is responsible as the lead product point-person and training subject matter expert with the commercial brand teams and coordinates brand/customer training strategies and needs. Serves as training liaison for training and sales and is responsible for managing training communications between sales training teams, and the field sales forces. The leader is responsible for leading and developing a team of training professionals and holds ownership and decision-making responsibilities over the final scope of work for significant contracts with external vendors as well as responsibility for monitoring and managing vendor quality and execution. This role also provides oversight to field-based training managers to ensure maximum effectiveness of field resources. He/she assumes a leadership role within the Commercial Training team, mentoring colleagues and assisting the Director of Commercial Training on special projects and initiatives. Essential Functions • Develop Talent and Build Organizational Capability: Provide coaching and development for direct and in-direct reports. Drive continuous improvement through process discipline and innovation., • Align with strategic vision of key stakeholders to lead execution of team: Develop collaborative partnerships with key stakeholders in sales and marketing, gain a working understanding of vison, strategy and needs and lead team to facilitate training solutions that enable team to fill needs., • Oversee Development and Delivery of Training Programs: Responsible for the overall creation and delivery of customized training solutions for an evolving marketplace. This includes oversight of content development and implementation of all commercial training programs as well as evaluation of training outcomes (effectiveness and quality) for continuous improvement. Define, monitor, and report on training success metrics, demonstrating performance improvements and ROI impacts., • Needs Analysis: Partner with Commercial Executives and other stakeholders to determine their strategic business drivers, current and future business objectives. Conduct needs assessment activities to proactively identify performance gaps and recommend training and non-training solutions in order to ensure maximum effectiveness of the commercial field teams., • Project Management in a Matrixed Organization: Manage multiple projects simultaneously and complete projects on time with the ability to influence others and accomplish goals within a matrixed environment. Partner with cross functional teams including the heads of Oncology, Neurology, and Commercial Services/Value and Market Access. Aligning training with Compliance, Legal, Regulatory, Medical, Sales and Brand will be a critical factor., • Fiduciary Responsibility: Develop a budget that supports planned efforts and meet planned budgeted each quarter while tracking projected spend in a compliant and timely manner. Requirements • Minimum of a Bachelor's degree, preferable in a life science field or adult learning., • 10+ years of pharmaceutical/biotech industry experience; preferable a proven track record of successful sales performance or marketing experience., • 4+ years training or teaching-related experience, including knowledge of adult learning principles and experience with distance learning and learning management system., • 2+ years of people management experience for both home office and in-field personnel., • Required experience in buy & bill market and working within /supporting a team in a matrix environment inclusive of reimbursement support, • Preferred experience will include biologics, diagnostics, market shaping, Alzheimer and/or rare disease, • Strong understanding of adult learning principles, including virtual training design and delivery., • Excellent written and verbal communication skills., • Demonstrated leadership ability within the Commercial Training team., • Strong interpersonal and collaboration skills to interface effectively with various cross-functional groups., • Strong platform style - ability to make large group presentations at regional and national meetings., • Strong project management skills such as scheduling, planning, and prioritizing several diverse activities, initiatives, and projects from different individuals, groups, or departments., • Must have demonstrated the development of new and creative solutions to a variety of challenging problems., • Proficiency in MS Office Suite (Word, Excel, PowerPoint, Teams) Adobe Acrobat., • Must possess the skills and ability to assimilate information to create workshop designs., • Neurology experience required., • Travel up to 35% of the time.Bachelor's degree (Master's preferred) and 10+ years of relevant experience. Experience in Life Sciences industry preferred. Skills:Communication & Cross-functional Influence, Critical Thinking & Business Agility, Field Training Skills, Industry/ Regulatory Knowledge, Mentoring/ People Development, Product Training Skills, Sales Training & Facilitation Eisai Salary Transparency Language: The annual base salary range for the Leader, Field and Sales Training, Alzheimer's Disease is from :$201,800-$264,800 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 details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. The Division of Solid Tumor Oncology in the Department of Medicine at Memorial Sloan Kettering Cancer Center (MSK) invites applications for Chief of the Clinical Genetics Service (CGS). MSK seeks a visionary leader to advance CGS as a national and international model for hereditary cancer risk assessment, precision prevention, and the integration of cutting-edge science into clinical care. The Clinical Genetics Service (CGS) is a multidisciplinary team of physicians, genetic counselors, and genetic counselor assistants providing comprehensive hereditary cancer risk assessment and management across MSK's Manhattan and regional locations. With more than 6,000 outpatient visits annually, CGS is foundational to MSK's precision prevention and early detection platforms. The next Chief will serve as a catalyst for innovation, setting a bold agenda at the vanguard of cancer genetics and genomic medicine. The selected leader will be expected to: • Champion high-impact research and novel clinical approaches that define the future of hereditary cancer risk management and genomics-driven care., • Drive translation of novel scientific advances into direct patient benefit, ensuring MSK remains an epicenter for innovative discovery and implementation. CGS faculty are at the forefront of clinical cancer genetics, using next-generation sequencing, advanced risk modeling, and state-of-the-art prevention science to benefit patients and their families. The Service delivers personalized recommendations for surveillance, risk reduction, and family assessment, supported by a robust research program spanning cancer genetics, genomic discovery, implementation science, and population health. The ideal candidate will: • Be internationally recognized as an innovator and thought leader in clinical cancer genetics, with a demonstrated commitment to scientific discovery, translational research, and driving the field's evolution., • Have a track record of pioneering and implementing disruptive advances in hereditary cancer syndromes, genomics, or novel precision prevention strategies., • Demonstrate sustained mentorship, scholarship, and team leadership in clinical, translational, laboratory-based, or population-based science. Application Instructions Interested individuals should submit a brief statement of experience and research interests along with their CV to Alexander Drilon, MD (), and copy Valentina Salkow, MBA, Manager, Academic Recruitment (). Expected salary range is $335,000-$655,000 for this role (physician compensation based on multiple variables; does not include potential supplemental or one-time performance-based payments at hire). Helpful links: * * Additional Info about MSK: Memorial Sloan Kettering Cancer Center (MSK), founded in 1884, is one of the world's premier cancer centers committed to exceptional patient care, leading-edge research, and extraordinary educational programs. MSK includes ten services in the Division of Solid Tumor Oncology: Clinical Genetics, Head and Neck Oncology, Breast Oncology, Genitourinary Oncology, Thoracic Oncology, Early Oncology Drug Development, Melanoma, Sarcoma, Gastrointestinal Oncology, and Gynecologic Medical Oncology. Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK: We are looking for a trained Technologist to join our innovative Blood Bank laboratory! Role Overview: * Reviews requisitions and orders, verifies accuracy of corresponding specimens, documents specimen collection information in LIS, accurately, and updates, as necessary. * Assures the accuracy of all tests performed by adhering to the laboratory's Standard Operating Procedures. Performs routine and advanced equipment maintenance. * Contributes to the upkeep and safety of the laboratory and assures a clean, safe, adequately supplied work area. Maintains adequate inventories of reagents and supplies. * Provides direction, training, and feedback on all laboratory procedures, as assigned. Trains other technologists in specialty area. Key Qualifications: * Bachelor's in Chemistry, Biology, Laboratory Science or Medical Technology or equivalent * 2 years' experience as a NYS Certified Medical Laboratory Technologist * Blood bank experience Core Skills: * Ability to work with diverse workforce and must possess good human relation skills * Proven analytical and problem-solving skills, ongoing commitment to upgrading job skills, teaching skills desirable * Demonstration of good organizational skills and ability to function independently with strong leadership qualities * Ability to interact with a diverse group of investigators, technical personnel and regulatory staff * Demonstrate problem-solving capabilities, sound written and oral communication skills Additional Information: * Locations: The Center for Laboratory Medicine, 327 E 64th Street, New York, NY & Main Hospital Campus, 1275 York Ave, New York, NY * Schedule: 3p - 11pm M-F (5 days); every third weekend * Reports to: Manager, Lab Medicine Helpful Links: * * Pay Range: $47.23 - $75.59 FSLA Status: Non-Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK: We are currently seeking an Immunology Histology Technician to join our IHC team! Role Overview: * Section paraffin and frozen tissue specimens as requested. * Basic histology techniques (e.g. embed, process tissue). * Primarily perform automated Immunohistochemistry (IHC) and in-situ hybridization (ISH) - employing different stainer platforms (e.g. Leica, Ventana). * Perform Hematoxylin Eosin staining for evaluating and analyzing tissues. * Assist in the development of new IHC and ISH protocols and techniques. * Test and validate new antibodies for CLIA approved IHC/ISH protocols. * Analyze and troubleshoot equipment-related issues * Construct various types of multi tissue blocks (MTB) * Maintains vital quality control and assurance records Key Qualifications: * Bachelor's degree or equivalent in Medical Technology, Clinical Laboratory Science, or related field with knowledge of Biology, Chemistry * NYS Clinical Laboratory Technologist, Technician, or Certified Histology Technician license preferred. Eligibility to obtain NYS license required Core Skills: * Ability to perform dilutions and laboratory calculations * Excellent organizational skills * Strong digital literacy including working with databases * Problem solver, who can manage complex, high quantity and sometimes contradictory information to effectively solve problems. * Good decision maker, with proven success of making timely decisions that keep the organization moving forward. * Committed and eager to take on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. Additional Information: * Schedule: Tuesday - Saturday 3:00 PM TO 11:00 PM, 100% onsite * Location: Main Hospital Campus, 1275 York Avenue, New York, NY. * Reporting to: Assistant Manager, Histology/Supervisor, Histology Helpful Links: * * #ZIPHP #LI-POST Pay Range: $46.26 - $74.00 FSLA Status: Non-Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Thank you for considering Progyny! Progyny is seeking an experienced Senior Director of Healthcare Complianceto oversee and manage our growing healthcare regulatory and compliance needs as we continue to grow. This role will ensure compliance with state and federal healthcare regulations as well as all regulatory reporting requirements for the licenses we hold across multiple jurisdictions. It is key to be able to develop and maintain strong relationships with key regulatory bodies. The Senior Director will also manage a small team and provide leadership to ensure our compliance program meets the highest standards. What you'll do... * Develop, implement, and oversee the healthcare compliance program to ensure adherence to state and federal regulations and state licensing requirements. * Oversee a team to manage and maintain all healthcare related licenses, ensuring timely renewals and compliance with reporting requirements in each applicable state. * Monitor evolving regulatory changes and provide strategic guidance to leadership on their impact and required actions. * Build and maintain strong relationships with regulators, acting as the primary point of contact for compliance-related matters. * Lead audits, regulatory reviews, and assessments, ensuring timely preparation and resolution of any findings. * Collaborate with internal departments, including legal, operations, and product teams, to ensure alignment with compliance requirements and corporate goals. * Provide leadership and mentorship to direct reports, fostering professional growth and ensuring the team's effectiveness. * Create and maintain policies, procedures, and training programs to ensure company-wide compliance awareness. * Partner with leadership to establish proactive strategies for managing compliance needs and driving operational excellence. About you... * Bachelor's degree in Business Administration, Healthcare Administration, or a related field; advanced degree (e.g., JD, MBA, or MPH) preferred. * Minimum of 8-10 years of experience in compliance or regulatory affairs within the insurance or healthcare industries, with expertise in state-specific regulations. * Strong understanding of licensing processes and regulatory requirements for health insurance providers. * Proven track record of building and managing relationships with regulatory agencies and navigating complex regulatory environments. * Experience managing and mentoring teams, with strong leadership and decision-making skills. * Exceptional organizational, analytical, and problem-solving abilities, with a detail-oriented approach to compliance management. * Excellent verbal and written communication skills, with the ability to convey complex regulatory concepts clearly to diverse stakeholders. Application process... If you are a compliance leader with a passion for navigating complex regulatory landscapes and contributing to meaningful change in healthcare, we encourage you to apply. Please note: This is not a digital nomad or remote international position; candidates must be based in the United States. Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future. About Progyny: Progyny (Nasdaq: PGNY) is a global leader in women's health and family building solutions, trusted by the nation's leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians. Our benefits solution empowers patients with concierge support, coaching, education, and digital tools;provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs. Our mission is toempower healthier, supported journeys through transformative fertility, family building and women's health benefits. Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit ___. Our perks: * Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents' Employee Affiliation Group * Menopause and midlife care * Health, dental, vision and life insurance options for employees and family * Free in-person, virtual and text-based mental health and wellness support * Paid time off, including vacation, sick leave, personal days and summer flex time * Company equity * Bonus program * 401(k) plan with company match * Access to on-demand legal and financial advice * Learning and development programs to help you grow professionally and a mentorship program * Company social eventsto include annual volunteer day and donation matching * Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is: $160,000 - $175,000. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity. Progyny is proud to be anEqual Opportunity and Affirmative Action employer.We respect and seek to empower each individual and support the diverse cultures, perspectives,skillsand experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law. If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to ___. #LI-CB1

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, Southern Ohio- 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. 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REMOTE Summary of Position • Lead technology architecture (business, data, application, integration, and platform) for healthcare payer organization, ensuring scalable, secure, and compliant systems that support core health plan operations and business strategy., • Design and oversee IT system structures, bridging business needs with technical implementation by creating blueprints, selecting technologies, ensuring scalability/security, and guiding development teams to build robust, efficient, and secure solutions that meet strategic goals. Responsibilities include translating requirements, defining standards, troubleshooting issues, managing technical risks, and providing leadership to ensure successful project delivery., • Own and evolve the enterprise target-state architecture and multi-year roadmaps, aligning business capability models with application and technology portfolios, investment priorities, and measurable outcomes., • Establish and run architecture governance (principles, standards, reference architectures, review/exception process) and guide solution designs for major initiatives to ensure reuse, interoperability, and risk-managed delivery. Collaborate with IT & Business leadership and cross-functional IT teams to drive enterprise architecture principles enabling modernization, interoperability, and data-driven decision-making. Principal Accountabilities • Define and maintain enterprise architecture strategy, standards, and roadmaps aligned with company goals., • Collaborate with IT & business leadership to define, review and guide solution architectures for major initiatives and investments., • Create technical strategies and blueprints, choosing appropriate technologies (like cloud services or off-the-shelf solutions) to meet business requirements., • Create, own & evolve technical documentation and architecture diagrams; participate in design reviews and technical discussions; monitor system performance and infrastructure; and advise senior management on IT strategy., • Design systems that are performant, scalable, and resilient to handle growth and increasing user loads., • Provide architecture governance and technical leadership across IT teams., • Ensure end-to-end alignment across front-, mid-, and back-office systems., • Partner directly with delivery teams to guide designs, review code and integrations, and resolve technical issues., • Collaborate with various IT and business areas for proof of concepts and evaluation of the enterprise's technologies (including environmental analysis & opportunity identification)., • Act as a liaison between business stakeholders, project managers, and development teams, explaining complex technical plans in understandable terms; translate abstract business needs into concrete technical specifications., • Oversee the implementation and integration of new systems, ensuring they align with overall enterprise architecture and best practices., • Analyze and resolve complex technical problems, bottlenecks, and performance issues within existing or new systems., • Provide technical guidance, support, and training to development and IT teams., • May train, mentor, lead, guide, or manage other staff members or serve as a subject matter expert or escalation point., • Research current & emerging technologies and propose changes where needed based on business value and risk., • Oversee planning for future technology needs and digital transformation., • Select cost-effective solutions and eliminate unnecessary complexity., • Identify technical risks, implement security measures, and ensure compliance with industry standards., • Define and enforce technical standards, best practices, security protocols, and quality assurance for development., • Drive adoption of cloud and modern technologies, integration & data architectures., • Perform other related tasks as directed, assigned, or required. Qualifications Education, Training, Licenses, Certifications • Bachelor's degree in computer science, Information Technology, Software Engineering, or related field required, • TOGAF or similar Enterprise Architecture certification required, • Cloud certifications (AWS, Azure, GCP) preferred Relevant Work Experience, Knowledge, Skills, and Abilities • 10 - 12+ years of IT experience, with 5+ years in health payer enterprise or solution architecture required, • Proven experience in healthcare payer environment (Commercial, Medicare, Medicaid) required, • Solid understanding of payer workflows, payer operations, and regulatory requirements required, • Experience with enterprise architecture frameworks (TOGAF, Zachman, or similar) required, • Knowledge of Healthcare interoperability standards required, • Experience with executive communication and stakeholder influence required, • Experience with modern payer platforms and vendors required, • Deep understanding of application, data, integration, and infrastructure architectures required, • Hands-on experience with cloud platforms (AWS, Azure, and/or GCP), integration patterns and AI required, • Strong problem-solving skills required, • Technically creative and open-minded required, • Strong leadership skills, with the ability to operate in cross-functional team environments required, • Excellent written, verbal communication, planning and organizational skills required, • Ability to rapidly comprehend the functions and capabilities of new technologies and business value-add proposition required, • Experience with system monitoring tools (e.g., Splunk) and system health reporting required, • Flexibility in a fast-paced dynamic environment with shifting roles and responsibilities required, • Ability to clearly present multiple solution options, benefits, and associated costs to all constituents required, • Experience and ability to conduct assessments and develop product recommendations required, • Experience with microservices, containers, and DevSecOps preferred, • Experience with EHR/EMR preferred, • Experience with Machine Learning and Rules Engines preferred Additional Information, • Requisition ID: 1000003069, • Hiring Range: $113,400-$210,600

Company Description NeenOpal is a global consulting partner specializing in AI, Cloud, and Data Solutions to enable businesses to become intelligent enterprises. With headquarters in Bengaluru, India, and offices in Newark, USA, and Fredericton, Canada, we serve clients ranging from startups to large enterprises across diverse industries. Our core expertise includes AI & Machine Learning, Cloud Solutions, and Data Engineering, focusing on delivering tailored, scalable, and innovative solutions. Leveraging a "follow-the-sun" global delivery model, we ensure round-the-clock support and localized services while helping organizations achieve their strategic goals. Role Description This is a full-time hybrid role for a Business Intelligence Analyst based in Newark, NJ, with flexibility to work remotely at times. The Business Intelligence Analyst will design and implement data-driven strategies, build dashboards and reports, and provide actionable insights to support decision-making across various business functions. Responsibilities include analyzing data trends, creating business intelligence tools, and collaborating with stakeholders to understand business needs and translate them into data solutions. The role requires proactive problem-solving and the ability to synthesize complex data into clear, meaningful insights. Qualifications • Strong Analytical Skills for assessing complex datasets and deriving actionable insights, • Proficiency in Data Modeling and the ability to design efficient, scalable data models, • Experience with creating Dashboards and using Business Intelligence Tools such as Power BI and Tableau. Looking for deep expertise in one tool and high level proficiency in the other, • Background in Business Analysis to understand and translate business requirements into actionable data-driven solutions, • Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders, • Proficiency in SQL or other query languages is highly desirable, • Bachelor's degree in Data Analytics, Computer Science, Statistics, Business, or a related field, • Experience with a hybrid work environment and ability to adapt to a fast-paced setting

TITLE: Data & Data Governance DEPARTMENT: Data Analytics LOCATION: New York, USA FLSA STATUS: EXEMPT JOB SUMMARY Data & Data Governance reports to Chief Data and Analytics Officer. Leading Data Governance, Data quality and Data Lineage function. This role provides support to core data analyst function. CORE JOB RESPONSIBILITIES ___ Data Analysis • Performs complex analyses., • Conducts and facilitates issues identification based on in-depth analysis on various data sets to determine Route cause analysis and work with appropriate parties to remediate data issues., • Analyze raw data a across source systems and turn it into actionable insights and support business decision-making., • Provide ad-hoc analytics support., • Utilize statistical and analytical tools to identify trends, patterns, and anomalies in the data, automate testing procedures and find opportunities to eliminate manual data exchanges., • Perform data profiling of source data to assess quality and Identify opportunities to improve data quality at the source., • Work with business data owners to create Business Glossary, • Work with business data owners to identify CDE and governing data quality rules., • Document technical and business metadata., • Assess and improve data quality by identifying and addressing data discrepancies, inconsistencies, and inaccuracies., • Design and Implement data quality checks and validation processes to maintain high standards of data accuracy., • Own data delivery projects under guidance of CDAO, • Work with business take holders to understand business requirements and translate those requirements into data and technical specifications., • Work with IT and data engineering to facilitate solution and make sure the solution meet requirements., • Document data processes, data lineage, and meta data to ensure transparency and facilitate knowledge transfer within the organization., • Create and maintain artifacts for assigned data projects., • Document company data assets and contribute to data modeling., • Help with existing reporting systems. Technical Data Skills • Expert level SQL skills, • Experienced with ETL, data mapping and transformation rules., • Intermediate skills with Python and R and willingness to advance., • Knowledge and understanding of data modeling, different data modeling technics, and data warehousing., • Experience with Oracle, SQL Server, or similar RDBMS platform., • Some exposure to Big Data technologies, ApacheSpark, AWS, AWS S3, amazonGlue, cloud -based data architecture is preferred., • Understanding of data governance frameworks, policies, data cataloging, CDE, metadata and data quality, • Ability to implement and enforce data governance standards., • Excellent communication skills to convey complex data findings to both technical and non-technical stakeholders., • Bachelor’s degree in computer science, Data Science, or data engineering, • 3-5 years of experience as a Data Analyst with exposure to data governance practices., • Previous work experience in the banking or finance industry is highly desirable., • Strong analytical and problem-solving skills with the ability to translate data into actionable insights., • Meticulous attention to detail to ensure data accuracy and quality., • Curios and open to learning advanced data tools and technologies. ___ Specific duties and responsibilities may vary based upon departmental and Bank needs. Other duties may be assigned similar to the above consistent with the knowledge, skills and abilities required for the position.

About Sigma Computing Sigma Computing is at the forefront of cloud-based analytics and business intelligence, transforming the way businesses leverage their data to make informed decisions. Our platform bridges the gap between complex data queries and business insights, providing an intuitive interface for users of all technical backgrounds. We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives. Key Responsibilities: • Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts., • Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights., • NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support., • Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention., • Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives., • Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base. Required Skills / Experience: • Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field., • 7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry., • Experience navigating complex enterprise sales environments with multiple priorities and stakeholders, • Strong analytical skills with a proven ability to solve complex problems using data., • Excellent communication and interpersonal skills, with a knack for building trust and driving engagement., • Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention., • Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery), • ETL experience, • Experience implementing production business intelligence solutions, • Startup experience Additional Job details The base salary range for this position is $132k - $165k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package. If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: • Equity, • Generous health benefits, • Flexible time off policy. Take the time off you need!, • Paid bonding time for all new parents, • Traditional and Roth 401k, • Commuter and FSA benefits, • Lunch Program, • Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s ___ for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. We are looking for a Senior Product Manager to own critical components of Socure’s Document Verification (DocV) platform, with a focus on the forensic engine, decisioning logic, and computer vision models. This role sits at the intersection of machine learning, fraud detection, and product decisioning, and is responsible for driving the systems that translate signals into outcomes. You will work closely with Data Science and Engineering to improve detection of fraud vectors such as injection attacks, deepfakes, and document manipulation, while also shaping how those signals are operationalized into scalable and configurable decisioning frameworks. This is a highly technical and impact-driven role requiring strong product judgment, deep curiosity about fraud patterns, and the ability to translate complex model behavior into clear product logic and customer-facing outcomes. Forensic Engine & Detection Strategy * Own the roadmap and execution for DocV’s forensic engine, including detection of document fraud, injection attacks, and AI-generated content. * Support efforts to scale DocV adoption globally, including in the public sector, financial services, and emerging markets. * Partner with Data Science to define, evaluate, and improve model performance across key fraud vectors. * Identify gaps in detection coverage and drive new signal development across image, video, and device layers. Decisioning & Risk Logic * Design and evolve decisioning frameworks that translate model outputs into actionable outcomes. * Build scalable, configurable logic that supports diverse customer risk profiles and use cases. * Balance fraud detection performance with user experience and conversion impact. Customer-Centric Product Development * Work closely with high-value customers to understand fraud patterns, edge cases, and operational needs. * Translate customer feedback into product improvements and prioritization decisions. * Support complex customer implementations and act as a subject matter expert in DocV decisioning. Cross-Functional Leadership * Collaborate with Engineering and Data Science to translate product requirements into technical execution. * Partner with the Fraud Investigation team, Customer Success, and Sales to align on product behavior and outcomes. * Drive alignment on tradeoffs between detection accuracy, false positives, and business impact. Data & Performance Analysis * Use SQL and analytics tools to evaluate model performance, decisioning outcomes, and conversion impact. * Define and track key metrics related to fraud detection, model precision/recall, and user experience. * Conduct deep dives into fraud patterns and emerging attack vectors. Go-To-Market & Enablement * Support product launches and enhancements with clear positioning and documentation. * Enable internal teams and customers to understand and effectively use decisioning capabilities. * Experience: 3–5 years in product management, preferably in identity verification, fraud prevention, or other ML-driven products. * Technical Expertise: Strong understanding of APIs, SQL queries, databases, and product architecture. * Machine Learning Familiarity: Experience working closely with ML models, including understanding model outputs, evaluation metrics, and tradeoffs. * Computer Vision (Preferred): Exposure to image processing, OCR, or document verification systems is a strong plus. * Fraud & Identity Domain Knowledge: Familiarity with fraud detection techniques, identity verification flows, or risk-based decisioning systems. * Analytical Skills: Comfortable working with data, writing queries, and deriving insights to inform product decisions. * Product Judgment: Ability to balance technical complexity, customer needs, and business impact in decision-making. * Customer Focus: Experience working directly with customers, especially in complex or high-stakes environments. * Communication: Strong ability to explain complex technical concepts clearly to both technical and non-technical audiences. * Collaboration: Proven ability to work cross-functionally with Engineering, Data Science, and go-to-market teams. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! ___ | ___ | ___ | ___

Product Manager Bayesian Health is a clinical AI platform that empowers nurses and doctors to make earlier and better clinical decisions at the point of care. We’re a diverse team of clinicians, engineers, research scientists, and product thinkers committed to using the latest AI advancements to improve care delivery and save lives. Our research has been published in leading medical journals, like ___. We're fortunate to be backed by some of the most discerning investors in tech and biotech: Obvious Ventures, Andreessen Horowitz, the American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. We've also received some recognition along the way, including Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, and BioTech AI Company of the Year. Bayesian’s platform includes a series of modules embedded within the electronic health record (EHR). Each module is specific to a clinical use case (e.g. sepsis) and empowers nurses and providers through timely clinical information. Modules are developed with input from the world’s most respected health systems, like Cleveland Clinic and Mayo Clinic. The role of a Product Manager at Bayesian is to maximize value for our health system customers over a 1-year time horizon, ensuring our platform is an indispensable part of their standard of care every year. This is a broad and ambitious mandate, which requires PMs at Bayesian to have much more scope than traditional PMs. As such, product management is just one of several types of work you’ll complete to launch new modules and drive maturing ones: * Opportunity Assessment: review existing clinical literature and work with health system executives to understand their goals and validate a new module’s business case. * 0->1 PM: define the product vision, north star metrics, ROI drivers, and user stories with input from internal and external clinicians. * Rapid Prototyping: Use Cursor, Claude Code, or Codex CLI to build an interactive proof-of-concept. Iterate with end users to build trust and identify points of friction. * Product deployment: Partner with engineering, research, and the customer’s integration team to get the module deployed. Collaborate with research to define data requirements for model training and ground truth for model evals. Scope workflow requirements with the client and our engineering team. * 1-> n PM: The module is live and impacting patient care, now you must continue shipping to drive adoption and ROI. Analyze usage, debug process or institutional barriers to adoption, and continue speaking to end users to understand pain points. Guide the tech team and the client to ensure the module maximizes value for the customer. We don’t expect past experience in all of these areas, but you must be self-aware and bring a growth mindset for skills you need to build. As one of the first Product Managers, you will report to the Lead PM and have significant scope. You will own the roadmap for several clinical modules and work closely with engineers, clinicians, and research scientists to drive value for major health systems. This role offers significant autonomy and the opportunity to shape the company’s product culture. * Former founders who want to retain end-to-end ownership and can switch between a 0->1 and 1->n mindset. * Former nurses or doctors who understand clinical motivations and workflows and want to build products used by clinicians across the world. * Technical product managers who want greater scope and are excited by the ambition and complexity of problems that save patient lives. * Former healthcare consultants who can quickly and deeply understand healthcare business strategy * Bachelor’s degree in computer science, business, or pre-health field * 3+ years of experience taking technical products from idea to launch to maturity * Hands-on experience with coding agents (Claude Code, Codex, Cursor): must be able to explain your process and decisions on stack and architecture * Proven healthcare curiosity: work experience, volunteering, side projects, reading clinical papers—not just "I want impact" * Data analysis proficiency: must be able to write SQL or use LLMs to write SQL * Startup experience: Comfortable with ambiguity, shifting priorities, and building without playbooks (Series B or earlier) * Written code that went through engineering PR reviews * Worked in healthcare settings (clinical, operational, technical roles) * Experience building AI/ML products and working with research teams * Conducted user interviews and translated insights into roadmap * Experience building enterprise healthcare solutions and presenting to external executive stakeholders * Experience building regulated healthcare products containing PHI/PII * Extreme ownership: Takes full responsibility for the module, from the first concept to long-term success and measured outcomes. * Curiosity: Can rapidly absorb knowledge about new, complex domains and continuously seek to understand the needs of users and executives. * Living in the future: you have opinions about what will be true about healthcare in 5, 10, and 20 years and are inspired to create a part of it. * Tactical: you can translate your future vision into pragmatic milestones along the way. * High agency: you don’t wait for permission to fix broken processes and you have a bias to action. * Strategic communication: You can present technical, clinical, and business ideas simply and precisely to everyone from a bedside nurse to the c-suite. * Hands-on builder: Comfortable prototyping a PoC and working with engineers to define and troubleshoot complex system integrations. * Clinical empathy: Care deeply about improving patient outcomes and making a clinician’s job easier. * Attention to detail: Catches bugs early and treats product design as a craft. * Comfort in ambiguity: Has a history of successfully delivering large, complicated products even when the initial project details were vague. * No ego: Embraces any role needed to deliver outcomes; no job is too small. * Must live in the US * Unfortunately, we are unable to sponsor visas * Occasional domestic travel required, 3-5 client visits per year Bayesian Health provides a competitive total rewards package that reflects our commitment to our team and our mission to improve patient care. * Salary Range: The estimated base salary for this role is $145,000-$185,000. Final compensation is determined by a variety of factors, including the candidate’s experience, specific skill set, and geographic location. * Equity: Meaningful stock option grants, ensuring every team member has a stake in the company’s long-term success. * Health & Wellness: Comprehensive medical, dental, and vision insurance options. * Time Off: Paid Time Off (PTO) and paid sick leave to support work-life balance and personal well-being. * Retirement: 401(k) retirement savings plan. * Work Environment: We are a remote-first company and provide optional WeWork memberships for those who value a co-working environment. Send your resume + a short note answering: * Describe something you built with AI coding tools—what was the problem you were trying to solve and what did you build? What did you learn? * What demonstrates your healthcare curiosity beyond "I want impact"? Our process: recruiter screen → hiring manager interview → team interviews (engineering, presentation, executive) → decision. Typically 2-3 weeks for strong candidates. * * * *

Rush Street Interactive (NYSE: RSI) is a market leader in online casino and sports betting, currently operating real-money gaming with our brands: BetRivers.com, PlaySugarHouse.com, and RushBet.co. We’re building bridges between online, social and land-based gaming businesses to create amazing, integrated experiences that keep players in the game. The Data Product Manager – Curation is responsible for designing and managing curated data products that power reporting, analytics, and emerging advanced analytics use cases across RSI like Machine Learning. This role focuses on building trusted, well-modeled, and well-documented data layers that translate raw source data into reusable, business-aligned datasets. The position partners closely with analytics and analyst teams as well as data and analytics engineering to improve data consistency, usability, and self-service adoption. While machine learning and advanced analytics are longer-term areas of evolution, this role lays the semantic and structural foundation to support them in the future. This role is critical to closing the gap between ingestion and insight and strengthening RSI’s enterprise data maturity. What You'll Do: • Design and manage curated data products composed of fact and dimension tables optimized for reporting, analytics, and downstream analytical use cases., • Develop and maintain semantic and subject-area data models that support analytics self-service and consistent business definitions., • Partner with analytics and BI teams to understand reporting needs and translate them into scalable, reusable curated datasets., • Lead schema design, join logic, and standardization efforts to improve trust, consistency, and cross-domain usability of data., • Collaborate with data engineering teams on data transformations, modeling standards, and performance optimization., • Support future advanced analytics and ML use cases by ensuring curated datasets are well-structured, well-documented, and extensible., • Establish governance standards for curated datasets, including documentation, lineage, naming conventions, and data quality monitoring., • Track adoption and usage of curated data products, incorporating stakeholder feedback to iteratively improve models and definitions. What You'll Bring: • Bachelor’s degree in Information Systems, Data Science, Computer Science, or a related field, preferred, or equivalent experience., • 5+ years in data product, analytics infrastructure, or data modeling roles., • Stakeholder Management: 5+ years partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products., • Analytics & Product Thinking: Strong understanding of how curated data enables reporting, self-service analytics, and consistent decision-making., • Data Modeling: 3–5 years designing dimensional models, schemas, and semantic layers for analytics or reporting use cases., • ML Awareness (Foundational): General familiarity with how curated data may support future ML or advanced analytics use cases (e.g., feature readiness, aggregation strategies), without expectation of hands-on model development., • Technical Proficiency: Advanced SQL skills and hands-on experience working with data marts, transformations, and analytical datasets., • Documentation & Governance: Experience maintaining semantic definitions, data catalogs, and quality standards to ensure data is discoverable, explainable, and trustworthy. Location Eligibility (for nationwide roles): Open to candidates across the U.S. Location Eligibility (for other roles): Location requirements may vary and will be specified in the job posting. Benefits: • Discretionary annual company bonus (Eligibility Varies by Role), • 401(k) plan with 100% company match on the first 4%, • Comprehensive medical coverage (HSA & FSA plans), dental, and vision insurance, • Paid Time Off (Eligibility Varies by Role), • Employee Assistance Program (EAP) Pay Range $100,000 - $140,000 USD What Makes Us Great: • Comprehensive compensation, • Work-life balance initiatives, • Autonomy – we embrace personal freedom and responsibility, • Creativity – we are open to new ideas of how we can be better, • Growth – we want you to develop personally as well as professionally, • Top-notch professionals who are passionate about what they do, • People-oriented environment and supportive atmosphere As a rapidly growing company in an emerging industry, you’ll have a huge impact on our product and our company. We like proactive team members and strive to have a company of self-disciplined professionals who enjoy collaboration, having fun, and of course, achieving together what others believe to be improbable. We are dedicated to treating everyone with respect and to support your professional and personal growth. Rush Street Interactive is an equal opportunity employer and committed to a diverse and inclusive workplace. All qualified applicants will be considered for employment without regard to race, national origin, ancestry, sex, sexual orientation, sexual identity and expression, marital status, family status, lifestyle, age, culture, religion, military and veteran status, citizenship, or disability. Be at the forefront of this ground-breaking industry! Apply now!

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales * Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. * Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. * Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. * Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. * Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales * Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. * Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. * Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. * Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. * Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional * Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. * Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. * Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience * 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. * Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. * Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. * Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. * Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills * Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. * Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. * Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. * Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. * Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. * Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile * You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. * Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. * You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. * Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. * Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS * Comprehensive medical (health, dental, and vision) insurance. * 401(k) plan with 4% matching. * Unlimited PTO — we strongly encourage at least 5 weeks each year. * Mental health, wellness, and personal development stipends. * Visa sponsorship available if required.

Location: United States (remote) Department: Product Development Reports to: Chief Product and Technology Officer WHO WE ARE At Acclaro, we're more than a localization company. We're a global team of language enthusiasts, cultural connectors, and technology innovators. Our mission is to help brands speak the world’s languages and resonate deeply across cultures by blending human expertise with cutting-edge technology. With over two decades of experience and our proprietary platform, we support some of the world’s most recognizable brands in expanding their global reach. Join us on our journey to be the model localization company of the next decade, one that’s loved by clients, colleagues, and communities alike. YOUR NEXT ROLE As a Product Manager at Acclaro, you’ll drive the evolution of our AI‑powered platform ecosystem, shaping experiences that help global brands scale content effortlessly and intelligently. This is a high‑impact, technically rich role where you’ll blend strategy, execution, and AI‑accelerated workflows to bring clarity and momentum to complex product initiatives. You’ll partner closely with Engineering, Data, Customer Success, and external clients to define what’s possible with next‑generation localization and content automation. If you thrive at the intersection of AI innovation, systems thinking, and user‑centric product design, this role puts you at the center of Acclaro’s future. WHAT YOU’LL DO • Build and maintain an AI‑augmented product operating system, using LLMs, agents, and automation to accelerate discovery, PRD creation, validation, and backlog management, • Own the strategic roadmap for Acclaro’s proprietary platforms, aligning product direction with business goals and customer needs, • Translate high‑level objectives into actionable feature sets, clear technical requirements, and measurable outcomes, • Shape platform scalability and ecosystem growth through API‑first strategies and third‑party integrations, • Lead research and technical discovery across LLMs, RAG, and emerging technologies to keep Acclaro on the cutting edge of AI‑driven localization, • Use data and AI‑driven analytics to track KPIs, validate product performance, and drive continuous optimization, • Partner cross‑functionally with Sales, Marketing, Engineering, Customer Success, and Linguistic Services to ensure a cohesive, high‑quality product experience THIS ROLE IS FOR YOU IF YOU • Have 8+ years of SaaS product management experience, moving products from idea to launch with autonomy, • Hold a bachelor's Degree in a related field or equivalent professional or military experience, • Bring an AI‑first approach to Product Management and actively use AI to accelerate your workflow and decision-making, • Are fluent in engineering and able to engage deeply on topics like architecture, APIs, security, and compliance, • Treat your own productivity as a product—constantly optimizing processes, systems, and workflows, • Excel in distributed, fast‑moving environments where ownership and clarity matter, • Balance user empathy with business strategy to craft intuitive, high‑impact experiences for global users YOU’LL STAND OUT IF YOU • Are an AI power user who has built personal agents or automated workflows to improve your own productivity, • Think in platform ecosystems, with experience designing API‑first products and third‑party integration strategies, • Hold advanced credentials such as an MBA, MS in Computer Science, or AWS/Azure certifications, • Bring familiarity with localization or multilingual content workflows WHY JOIN ACCLARO? • Global Team, Local Impact: Collaborate with colleagues around the world while making meaningful contributions locally., • People-First Culture: Work in a supportive, inclusive environment that values your voice and well-being., • Flexible Work Style: Enjoy remote work, flexible PTO, and a healthy work-life balance., • Career Growth: Access mentorship, development programs, and clear pathways for advancement., • Impactful Work: Help top-tier brands succeed globally while promoting cultural understanding and connection., • Competitive Compensation & Benefits: Market-leading pay, bonuses, and comprehensive medical and retirement plans., • Recognition & Support: Be seen and celebrated through regular recognition programs and supportive leadership. VALUES WE LIVE BY • Passion with a Purpose – We’re energized by our work and why it matters., • Go the Extra Mile – We strive for excellence and proactive value., • Honesty in Action – We act with integrity, openness, and respect., • Own It, Do It – We follow through, take accountability, and take pride in our outcomes. INCLUSION & EQUAL OPPORTUNITY - Acclaro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business needs.

Job Title: Bomb Technician (EOD) Category / Component: Enlisted • Active Overview Explosive Ordnance Disposal Technicians locate, identify, render safe, and dispose of explosive threats on land, at sea, and underwater, using advanced robotics, diving, and explosives skills to protect forces and civilians and support fleet and joint operations worldwide. Key Responsibilities Detonate and demolish hazardous munitions, pyrotechnics, and outdated explosives; neutralize ordnance including sea mines, torpedoes, depth charges, and improvised explosive devices; remotely disable unsafe ordnance using robotic and diagnostic technology; conduct parachute and helicopter insertion operations; clear waterways of mines in support of ships and submarines; provide explosive ordnance support to law enforcement agencies and organizations such as the United States Secret Service and Department of State. What to Expect Global missions in every environment, from parachuting into remote terrain to arriving by small boat on foreign shores; majority of time spent in the field conducting high risk, time critical tasks with strict safety and risk management; regular integration with Special Operations, fleet units, and interagency partners; intense physical and mental demands with a culture that values precision, calm decision making, and discipline. Work Environment Operate worldwide on land, at sea, and underwater from EOD Mobile Units and detachments; insert via parachute, helicopter, and small boats; work from ships, shore commands, and forward locations; serve in small team based units that balance training, readiness, and operational tasking with limited administrative overhead compared to field work. Pathways, Training & Advancement Recruit Training followed by an EOD preparatory course at Great Lakes, Illinois, that builds swimming, conditioning, small boat skills, and risk management fundamentals; EOD Assessment and Selection Course that evaluates aquatic adaptability, running, swimming, academics, professionalism, and teamwork; Navy diver training at the Naval Diving and Salvage Training Center; Naval School Explosive Ordnance Disposal, which covers demolition, conventional ordnance, underwater mines, missiles, landmines, and chemical, biological, radiological, and nuclear threats; Basic Parachute Training and ongoing advanced training and qualifications throughout a career. Apply for the Navy Warrior Challenge contract for EOD during initial enlistment, then pass the EOD Physical Screening Test and diver medical screening; complete required assessments and receive recommendation and screening from an EOD officer or senior enlisted EOD technician; additional in service accession requirements may include minimum time on board, performance standards, and command endorsement. Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy. Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter. Additional qualifications for this job may include: Eyesight correctable within EOD diving standards, with no color blindness; qualifying ASVAB scores using combinations such as arithmetic reasoning and verbal expression or general science, mechanical comprehension, and electronics information; age typically 30 or younger at accession; United States citizenship and eligibility for a security clearance; excellent physical condition and swimming ability, with the capacity to perform detailed technical tasks under stress and in hazardous environments. Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities. Specific options depend on the Sailor's status, training, and current Navy policy. Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options. Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance. Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed. Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source. Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community. It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes. Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

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: The Senior Manager of FP&A plays a key role in delivering strategic financial support within the Corporate FP&A function. This position is responsible for leading complex financial analysis, forecasting, and modeling to support data-driven decision-making. The role partners cross-functionally with senior stakeholders to provide forward-looking insights, drive business performance, and influence strategic priorities. The ideal candidate brings deep expertise in financial planning and analysis, along with a proven ability to translate financial data into actionable recommendations. Job Responsibilities: • Lead complex financial modeling and analysis to support strategic planning and key business decisions., • Own and drive end-to-end FP&A processes, including planning, forecasting, and performance reporting against targets., • Partner with senior leadership to provide data-driven insights and ensure alignment with enterprise performance objectives., • Identify and implement opportunities to enhance and streamline processes through advanced analytics, automation, and tools., • Establish and promote FP&A best practices, frameworks, and standards across the organization. Required Qualifications: • Bachelor's degree in Finance, Accounting, or a related field required., • Minimum 6 years of progressive experience in FP&A., • Strong MS Office experience, specifically Excel and PPT., • Deep expertise in financial planning, forecasting, and analysis., • Strong strategic thinking skills with advanced analytical and problem-solving capabilities., • Excellent communication and presentation skills, with the ability to influence stakeholders., • Proven track record of driving process improvements and leading change initiatives. Preferred Qualifications: • MBA or advanced degree., • Experience supporting senior executives (e.g., CFO, business unit leaders) in a large, matrixed organization., • Advanced proficiency in financial systems, planning tools, and data visualization platforms., • Demonstrated experience leading cross-functional initiatives., • Strong business acumen with experience in a relevant industry. 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: 118,600 USD to 173,933 USD#LI-MS1 Job Posting Title: Senior Manager, Financial Planning & Analysis Location: Hoboken (HQ), NJ, USA

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability. The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions. • Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria, • Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans, • Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems, • Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration, • Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations, • Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement, • Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline, • Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production, • Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities, • 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role, • Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact, • Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans, • Strong foundation in statistics, experimentation, causal reasoning, and measurement, • Experience building tools or products, not just analyses - for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications, • Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work, • Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly, • Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives, • High ownership and bias toward shipping in fast-moving environments with incomplete information, • Experience in a forward deployed, solutions, consulting, or other client-facing technical role, • Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, • Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, • Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, • Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, • Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling 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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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:$167,200—$209,000 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 Pay Transparency provision. 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.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit ___ for more information. The Associate Director, HCP Personal Promotion will serve as a key member of the marketing team leading the development and execution of Jazz's HCP Personal Promotion strategy for the Sleep Franchise. This role is responsible for branded and unbranded campaign and messaging asset development, brand story pullthrough, sales team engagement, training strategy, POA leadership, and personal promotion performance measurement. The person in this role will serve as the primary liaison to the Field Sales team and play a pivotal role in ensuring cohesive and highimpact personal promotion execution. Serving as a team player, showing up as a leader, and demonstrating the Jazz corporate values daily will be critical success factors to the role. • Lead HCP branded and unbranded Personal Promotion strategy., • Own personal promotion asset development, incorporating campaign, messaging and brand storytelling to the priority personal promotion resources., • Conduct asset needs assessments and provide inputs to qualitative and quantitative market research and advisory boards., • Serve as the primary liaison to the Field Sales organization., • Lead Field Advisory Board (FAB) strategy, including content development and insight integration., • Develop and execute a Field Sales Engagement strategy and activation plan., • Be the Marketing Lead for New Hire Sales Training, ensuring deep understanding of brand strategy., • Drive ongoing sales team upskilling through advanced training initiatives., • Develop and maintain sales training materials., • Lead crossfunctional POA content development and meeting strategy., • Serve as a consulted partner for field communications planning and messaging alignment., • Assess effectiveness of personal promotion tactics, messages, and field execution., • Deliver actionable insights and recommendations for asset optimization., • Partner closely with Access, Sales, NonPersonal Promotion, Omnichannel, and Scientific Communications teams., • Ensure prioritized alignment of messaging and tactical execution personal promotional channels., • Manage personal promotion budget lines including work orders, accruals, and forecasts., • Oversee SOW creation and tracking., • Bachelor's degree required., • 5+ years of U.S. pharmaceutical HCP marketing experience., • Experience in field sales and/or HCP personal promotion strongly preferred., • Demonstrated success leading crossfunctional initiatives., • Strong communication, analytical, and project management skills., • Exceptional problem solving and decision-making capabilities., • Demonstrated ability to partner effectively with Sales teams., • Ability to manage budgets, timelines, and agency partners., • The position will primarily be home-based, with the expectation to travel for meetings as necessary. #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $160,000.00 - $240,000.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: ___.

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. About the Role As a Senior Data Analyst, Risk & Fraud, you will leverage data and analytical techniques to detect, investigate, and mitigate fraud and financial risk across the business. You will transform large, complex datasets into actionable insights that support real-time decision-making and long-term risk strategy. This role partners closely with stakeholders across Fraud Operations, Payments, Risk, and Compliance to identify emerging threats, uncover patterns in user behavior, and enhance detection and prevention frameworks. You will play a key role in analyzing transactional activity, monitoring fraud trends, and driving data-informed improvements to controls and processes. This is a fast-paced, high-impact environment where success is defined by your ability to translate data into clear, evidence-based recommendations that reduce risk and improve operational efficiency. Responsibilities * Analyze large-scale transactional and behavioral data using SQL to identify fraud patterns, emerging threats, and key risk signals across the customer lifecycle. * Design and develop scalable analytics solutions and automations (e.g., Python, Streamlit - a plus) to support fraud detection, investigation workflows, and operational efficiency. * Build and maintain dashboards and monitoring tools (e.g., Power BI) to track fraud, payments, and risk performance metrics, reducing manual investigative effort. * Support the development and optimization of fraud detection strategies, rules, and risk indicators through data-driven analysis and testing. * Perform deep-dive investigations into suspicious activity (e.g., multi-accounting, geolocation anomalies, payment abuse) to uncover fraud networks and inform mitigation strategies. * Ensure data quality, integrity, and consistency across fraud and risk reporting through strong validation, documentation, and control processes. * Partner closely with Fraud Operations, Payments, Risk, and Compliance teams to translate analytical findings into actionable insights and measurable process improvements. * Communicate complex fraud trends and investigative findings clearly and effectively to both technical and non-technical stakeholders Qualifications * Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics), or equivalent experience in data analytics within risk, fraud, or payments * 3+ years of experience in data analysis within risk, fraud, payments, or a related domain * Strong analytical skills with proficiency in SQL and experience with data visualization tools (e.g., Power BI) * Experience working with Python for data analysis or automation (preferred) * Experience analyzing transactional or behavioral data to identify trends, anomalies, or risk signals * Excellent communication skills, with the ability to translate complex findings into clear, actionable insights for non-technical stakeholders * Strong problem-solving mindset with a focus on continuous improvement * Ability to work in a fast-paced environment, adapt to changing priorities, and deliver under tight deadlines * Proficiency with Microsoft Excel and PowerPoint for analysis and presentation of findings * Strong troubleshooting skills, with the ability to identify, investigate, and resolve data or process issues * Naturally curious, with a proactive approach to solving business and risk-related problems * Strong verbal reasoning and critical thinking skills * Data-driven mindset, using quantitative analysis to inform decisions and recommendations * Ability to understand stakeholder needs and translate them into effective analytical or technical solutions Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

Title: Non-Credit Instructor Department: Assoc Provost Continued Learning Of Reports To: Director, Custom Training Position Type: Staff Position Summary: LDI is seeking instructors with expertise in one or more of the following areas: Technology & Digital Skills: -Computer Science -Robotics and Automation -Coding and Computational Thinking -AI Literacy and Emerging Technologies -Cybersecurity Fundamentals Productivity & Business Tools: -Microsoft Excel from beginner through advanced -Data organization, reporting, and dashboards -Digital collaboration and workflow tools Industrial & Technical Operations: -Electro-Mechanical Maintenance Technician -Multi-Craft Maintenance Mechanic -Automation & PLC Technician -Maintenance Lead or Shift Supervisor Professional & Business Skills: -Data-driven decision making -Project management and Agile methods -Communication and workplace effectiveness -Leadership and change management -Financial literacy and business fundamentals Essential Functions: -Design and deliver customized, skills-based instruction aligned to client objectives and LDI's learning framework. -Develop course outlines, plans, and instructional materials for assigned engagements. -Deliver instruction in person and/or virtually, based on client requirements. -Use project-based, applied, and inquiry-driven teaching methods. -Collaborate with LDI staff and client stakeholders to ensure high-quality delivery. -Maintain clear and timely communication regarding scheduling, availability, and instructional needs. Prerequisite Qualifications: -Teaching, training, or facilitation experience with adult learners or working professionals. -Demonstrated expertise in Excel, Office Suite, data analysis, automation systems, PLCs, maintenance operations, AI tools, or business systems. -Demonstrated expertise in learning management systems and virtual conferencing platforms such as Zoom and Google Meet. -Strong communication and facilitation skills in both in-person and virtual environments. -Relevant certifications, degrees, or substantial professional experience in the subject area. -Equivalent combinations of education and professional experience may be considered. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate for this position is $45.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

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 Director, Center for DAIR. You will lead the coordination and execution of complex, large-scale AI research initiatives in mental health contexts. You will manage a team of approximately 10 data scientists and software engineers and collaborate closely with the Clinical Project Manager and project leadership, ensuring seamless collaboration and timely delivery of project milestones. You will oversee project planning, resource allocation, risk management, and stakeholder communication, using common project management tools and methodologies. This role requires strong project management expertise, technical fluency to communicate effectively with the engineering teams that will report to you, and the ability to navigate complex research environments while maintaining alignment with project objectives and organizational goals. 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: • Work with team members across management, multiple engineering teams, clinical researchers, and stakeholders to develop project plans, timelines, milestones, resource requirements and deliverables, all in alignment with the overall mission of the project and organization., • Guide the team through the entire product development lifecycle, from road mapping and requirements gathering, through prioritization and scoping (OKRs), delivery of designs, and project management of engineering execution., • Coordinate cross-functional teams including data scientists, AI engineers, software developers, clinical researchers, and external collaborators to ensure efficient workflow and communication., • Achieve consensus around product vision and priorities across product research, design, engineering, and data science along with our leadership team., • Monitor project progress, identify risks and bottlenecks, and implement mitigation strategies to keep projects on track and within budget., • Help design and implement clinical validation and quality assurance testing for data generation, annotation workflows, and software development to ensure scientific rigor and reproducibility., • Ensure data quality, security, and compliance with privacy regulations for handling sensitive data. You Have: • Master's in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience is required., • 8+ years experience in technical project management for software development, data science, or AI/ML research projects., • 8+ years of experience working regularly with software development lifecycle, data engineering, machine learning, or cloud computing concepts., • 5+ years of practical experience with project management tools and methodologies (e.g., Notion, Jira, Kanban)., • 5+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning)., • 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., • Demonstrated experience managing complex, multi-phase projects in software development environments with multiple stakeholders and competing priorities. #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.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Memorial Sloan Kettering Cancer Center seeks Computational Biologist in New York, NY to provide support to research projects by designing, developing, and implementing software tools for processing and analyzing high-throughput next-generation sequencing data. Provide one-one-one consultation and training to research scientists and bioinformatics and software engineers in the use of bioinformatics software tools and databases. Responsible for program design, coding, testing, debugging and documentation as part of the bioinformatics data processing and analysis system. Design, develop, and operate software and databases as part of bioinformatics data processing and analysis system. Provide consultation and guidance to research scientists as well as other bioinformatics and software engineers at the Center. Full-time telecommuting permitted. EEO/VETS/ADA. REQUIREMENTS: Master's degree or equivalent in Bioinformatics, Computer Science, Mathematics, or a related field of study and 1 year of experience in the position offered or related; or a Bachelor's degree in Bioinformatics, Computer Science, Mathematics, or a related field of study and 2 years of experience in the position offered or related. Requires 1 year of experience with all of the following: working with Scripting languages including Perl or Python; working with Statistical programming including R; utilizing principles of Genetics to perform bioinformatic data analysis; and NGS data analysis. Must have coursework or experience in molecular biology including Cloning, PCR, and Pulldown assays. SALARY: $83,800.00 - $134,000.00/year LOCATION: 1275 York Avenue, New York, NY 10065 Pay Range: $83,800.00 - $134,000.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK:We are seeking a Radiologist Assistant for our Interventional Radiology team at our main hospital campus in New York City, join us! Role Overview: * In a collaborative and multidisciplinary/modality environment, support the Attending Radiologist and fellows in the provision of patient care in the procedure room, clinic and on the patient floors. * Assists with the education of technologist, Radiologist Assistant students, and residents. * Obtains and reviews patient clinical history prior to any procedure. * Obtains and documents informed consent for procedures the RA is credentialed to perform. * Performs procedures, including appropriate administration of contrast material, when indicated, in accordance with credentials. * Assists the attending Radiologist with procedures as requested. * Acquires relevant images to adequately document the procedure performed. * Post-procedure, enters into the medical record appropriate documentation of the procedure performed, enters appropriate post-procedure orders, and prepares preliminary reports of procedures performed, including preliminary dictations with appropriate codes. * Obtain and evaluate vital signs, perform limited physical examination as appropriate reporting findings to a collaborating Radiologist. * Act as a liaison between referring services and Radiologist and arranges appropriate follow-up based on clinical findings. * Reviews imaging studies and pertinent patient history to triage incoming referrals to the department. Key Qualifications: * Completion of an accredited RA program with an MS in Health Science. * ARRT certification as a Registered Radiologist Assistant. * New York State Department of Health licensure (Radiologic Technologist and Specialist Assistant license required) * BLS/ACLS certification. Core Skills: * Effective communication skills * Self-motivated and results-oriented * Desire for personal growth and readiness to tackle challenges * Strong attention to detail * Team-oriented Additional Information: * Location: Main Hospital, 1275 York Avenue in Manhattan, NYC. * Reporting to the Manager, Radiologist Assistant * Schedule: 8 am - 6 pm, Monday-Friday (4 days) $10,000 bonus available for new Radiologist Assistant hires Helpful Links: * * Pay Range: $136,400.00 - $225,100.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Job Description:\n\nABOUT THE INNOCENCE PROJECT AND INNOCENCE NETWORK The Innocence Project works to free the innocent, prevent wrongful convictions, and create fair, compassionate, and equitable systems of justice for everyone. Our work is guided by science and grounded in anti-racism. Since our inception, the Innocence Project has used DNA and other scientific advancements to prove wrongful conviction. To date, we have helped to free or exonerate more than 250 people who, collectively, spent more than 3,600 years behind bars. Our efforts have led to the passage of more than 200 transformative state laws and federal reforms. Today, the Innocence Project continues to fight for freedom, drive structural change, and advance the innocence movement. To learn more, please visit . The Innocence Network is an affiliation of more than 75 independent nonprofit organizations, educational institutions, and public defender’s offices that is dedicated to exonerating wrongfully convicted people and reforming the criminal justice system to avoid future injustice. Innocence Network member organizations vary in the size, budget, and number of cases they can investigate, and most primarily represent clients in the state in which they work. ABOUT THE POSITION The Network Support Unit (NSU), a department within the Innocence Project, works to strengthen the Innocence Network and its member organizations to achieve breakthrough results in addressing and preventing wrongful conviction. The Manager, Innocence Network Events works to strengthen the organizations that comprise the Innocence Network through planning and executing high quality convenings, including ensuring related effective stakeholder communication, and facilitating collective decision-making, initiatives, and work products. The largest project in the Manager, Innocence Network Events’ portfolio is the Innocence Network Conference, an annual gathering of over 1,200 Network organization staff members, partners, as well as freed/exonerated people and their family members. The Manager, Innocence Network Events also organizes multi-day regional gatherings to further the aims of Innocence Network member organizations, plans and facilitates ad hoc virtual convenings, and manages various collaborative groups and processes. The Manager, Innocence Network Events reports to the Director, Innocence Network Support Unit and works collaboratively with the staff at the Innocence Project, the leadership of the Innocence Network, and staff and board members at individual Innocence Network member organizations. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas and we are not an e-verify employer. The duties of this position require approximately 40 hours of work per week to be performed virtually/in-office. We currently have a hybrid in-office model, with all employees in the office three days per week and the remainder of the week remotely. Wednesday is our organization’s “anchor day” where all staff works in the office. The number of required in-office days is subject to change. THE IDEAL CANDIDATE The Innocence Project seeks a highly organized, collaborative, and mission-driven events professional with experience coordinating and leading conferences, convenings, and stakeholder engagement initiatives. This person has strong project management skills and is a trusted relationship-builder who can manage multiple priorities, support inclusive and community-centered spaces, and work effectively with diverse audiences, including freed and exonerated community members, Network leaders, advocates, and external partners. The successful candidate thrives in fast-paced environments, communicates clearly and thoughtfully, and is passionate about supporting the work of the innocence movement through meaningful convenings and collaboration. In addition, the ideal candidate models our IP Values of accountability, collaboration, empathy + compassion, equity, person-centeredness, quality focus, and self-awareness. All Innocence Project employees must embrace, respect and value the rich diversity of perspectives and lived experience of our staff. We recognize and appreciate that our work is better for having varied participants and thought partners. The ideal candidate is someone who thrives in this type of environment. ESSENTIAL JOB FUNCTIONS INNOCENCE NETWORK CONFERENCE STRATEGY AND PROGRAM DEVELOPMENT:In collaboration with the Director, NSU and key stakeholders, develop and drive strategic direction for annual Innocence Network Conference to ensure the event continues to meet the needs and expectations of an increasingly broad and diverse audience Manage the public call for session proposals, including the evaluation and selection of breakout session content geared toward a diverse array of attendeesAssemble and direct the Network’s Conference Planning Working Group, a volunteer committee that helps select conference theme and breakout contentPartner with innocence movement thought leaders and Network member organizations to develop plenary content consistent with the conference themeProvide critical feedback and ongoing support to breakout session organizers to ensure that content includes clear learning objectives, diverse voices, and audience interactionIn collaboration with the Assistant Director, Network Reentry Capacity Building and Assistant Director, Network Organizational Development, establish dedicated time and space at the conference for affinity group meetings, peer-to-peer collaboration, and informal connection, fostering a sense of community and meaningful relationship-building among participantsDevelop, communicate, and implement health/safety protocols and community guidelines as related to conference attendance and attendeesRecruit and manage the Conference Ambassador Program, comprised primarily of freed and exonerated community members, ensuring clear communication and adequate supportCollaborate with Innocence Project Development team members and the Network’s Conference Sponsorship Working Group to advance the event’s financial targetsPerform a thorough evaluation of the conference each year, including analyzing overall attendee feedback and individual session experiences to improve the event year-over-yearReport to the Network Executive Board on conference related processes and decisions (i.e. feedback/evaluation, strategic planning, financial standing, site selection, etc.) INNOCENCE NETWORK CONFERENCE OPERATIONS AND LOGISTICS:Plan, coordinate, and execute the annual Innocence Network Conference, with support from members of the Network Support Unit and leaders in the Innocence NetworkManage contracted conference consultants and interns, to include conducting pre-planning meetings, periodic check-ins, assessing progress towards long term goals, as well as delegating tasksManage conference volunteers and temporary on-site support staff, to include scheduling and supervision on-site during the conference itself Identify and work with organizations/vendors in the city where the conference is being held to provide training and resources to conference attendees before and at each conference on topics such as harm reduction, conflict deescalation, art therapy, pet therapy, etc.Create the conference schedule, ensuring appropriate pacing and maintaining balance of subject matters and target audiencesManage all conference materials production, including conceptualization, design, and vendor procurement and management for program, signage, swag, etc.Oversee the conference registration process, including registrant review, liaising with the registration software vendor, and managing the registration logistics on-siteManage a variety of logistical elements such as site selection, a planning timeline, hotel rooming lists, ordering supplies, and packing and shipping materialsPopulate the conference website, updating content frequently as conference approachesPlan and manage on-site logistics ensuring a positive attendee experience; oversee catering, runs-of-show, audio visual, and directing live program/speakers Under the direction of the Director of the NSU, manage all fiscal aspects of the conference including developing and reconciling budgets, generating financial reports, and ensuring invoices are processed REGIONAL SUMMITS:Serve as the NSU’s lead on Network Regional Leadership Summits, organizing annual gatherings attended by Network leaders and staff members, in four geographic areas of the United StatesWith oversight from the Director, NSU, manage the annual budget for these four regional summits, including vendor procurement, management and payment, as well as applications and disbursements of travel and lodging stipends, as neededLead end-to-end planning and execution, including coordinating date and site selection, developing detailed agendas, creating supporting materials and resources, and overseeing all on-site logistics to ensure a seamless participant experienceServe as a strategic partner to Network member hosts and facilitators by providing ongoing guidance, tools, and hands-on support throughout the planning process to ensure alignment with goals and effective program deliveryCompile and deliver comprehensive post-summit reports that capture key outcomes, including attendee summaries, finalized agendas, session notes, major insights, and clearly defined next steps to inform future workIntentionally design each gathering agenda to include dedicated time and space for affinity group meetings, peer-to-peer collaboration, and informal connection, fostering a sense of community and meaningful relationship-building among participants STAKEHOLDER ENGAGEMENT:Create and implement approaches that help Network leaders and the Innocence Project/NSU communicate and work together effectively on convening plans and executionManage the Innocence Network’s new and ongoing external partnerships with organizations with which we collaborate at our conveningsFacilitate relevant Network working groups and committees (Conference Finances Working Group, Conference Planning Working Group, Conference Sponsorship Working Group, and others as needed)Provide advice and coaching to staff of Innocence Network member organizations as needed/requested, particularly in the areas of event management and productionLeverage the annual conference and other convenings to support leadership development opportunities for freed/exonerated peopleOversee a variety of virtual convenings, identifying speakers and coordinating educational content on organizational development and litigation topics for Network membersDevelop and share relevant Network resources as needed, including communication guides, hosting guides, templates, etc. Participate in the formulation of ongoing outreach activities in response to Network annual report survey data and quarterly Network Member reviews RequirementsQUALIFICATIONS & EXPERIENCEBachelor’s degree plus 5 years of hands-on experience leading and executing complex events, convenings, or productions from planning through post-event follow-upDeep knowledge of event management best practices, including agenda design, participant experience, and inclusive, trauma-informed approaches to gathering and facilitationDemonstrated interest in the work of the Innocence Project and Innocence Network; passion for nonprofit management, organizational development, leadership development, facilitation, collective decision-making, and diversity, equity, and inclusion principles and practicesSuperior verbal and written communication skills; graphic design skills a plusExperience preparing and managing budgets and financial plansExperience working with a broad array of stakeholders; experience collaborating with coalitions of independent and allied organizations and justice-impacted individuals a plusAbility to travel up to 20% Must be legally authorized to work in the U.S. KEY COMPETENCIES + VALUESAbility to manage multiple projects, set priorities, and adhere to timelines with meticulous attention to detailAbility to liaise in a professional manner with all levels of staff, management, vendors, board members, and external contactsSuperb analytical thinking skills to assess situations and react appropriatelyStrong sense of personal responsibility and accountability for delivering high-quality workExcel at relationship management, developing and maintaining trusting collaborative relationships with colleagues, volunteer leaders, Network staff at all levels, subject matter experts, and members of the freed and exonerated communityEnthusiasm for the work of the Innocence Project and for social justice, including a demonstrated commitment to public interestShared commitment to the IP’s values of accountability, collaboration, empathy + compassion, equity, person-centeredness, quality focus, and self-awareness BenefitsCOMPENSATION, BENEFITS & PERKS The salary for this position is highly competitive and the Innocence Project offers an excellent benefits package, including fully-paid individual health, dental and vision insurance, Flexible Spending Account, 401k plan with 6% company-match, paid disability and family care leave, adoption and fertility expense reimbursements, and company-paid transportation benefits. WORKFORCE DIVERSITY AND EQUAL OPPORTUNITY The Innocence Project considers the diversity of its workforce to be vital to our organization’s success in meeting its mission. We strongly encourage applicants from all cultures, races, educational backgrounds, life experiences, socio-economic classes, sexual orientations, age, gender, and physical abilities to apply. Individuals with personal connections to the criminal legal system are strongly encouraged to apply. As an Equal Opportunity Employer, it is our policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, national origin, age, disability, familial status, marital status, predisposing genetic characteristics, actual or perceived domestic violence victim status, unemployment status, caregiver status, or any other category protected by law. Upon submission of your application you will be requested to complete an Equal Employment Opportunity (EEO) survey. This survey is part of our commitment to fostering a diverse and inclusive workplace. The information you provide is voluntary and confidential. Completing the survey helps us track our progress in creating a fair and equitable environment. This data is used for reporting purposes only. Please note, the identities presented in the survey reflect federal language required by law. The Innocence Project acknowledges that not all identities are included and any reference to gender explicitly refers to biological sex. We recognize these terms are limited and we strive to humanize our internal practices. You

Job DescriptionWhat is Prizeout Prizeout is a fast-growing fintech transforming how people interact with their money by turning everyday transactions into rewarding, value-driven moments. We sit at the intersection of payments, rewards, and loyalty, empowering financial institutions to build deeper connections with their users. Our platform analyzes rich transactional data to deliver personalized insights and maximize value with every purchase. The company was founded in 2019 and is headquartered in NYC. Why Prizeout At Prizeout, we’re redefining how people engage with their money through smarter, data-driven rewards. We’re looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership. About This Role As a Data Engineer at Prizeout, you’ll own the data that powers CashBack+ and our credit union rewards ecosystem. Managing the end-to-end lifecycle of financial institution data, you’ll ensure every transaction is accurate, every action is recognized, and every reward is delivered on time. Working with core banking systems, card networks, and digital event data, you’ll turn complex, messy inputs into clean, reliable signals that drive real-time insights and loyalty programs. What You'll Do • Own and manage the full lifecycle of credit union core and card data pipelines, • Build and maintain scalable pipelines that clean, standardize, enrich, and classify transactional and behavioral data, • Translate raw transactions into meaningful insights using classification models (direct deposits, ACH events, MCC logic, etc.), • Develop and maintain automated validation and monitoring systems, • Create and manage high-quality dashboards and reporting tools for credit unions and internal teams, • Collaborate with Product, Data Science, Operations, and Integrations teams to refine data models and onboarding processes, • Continuously improve data models, infrastructure, and internal tools, • Stay current on fintech data architecture trends and emerging technologies to guide ongoing platform evolutionWhat We're Looking For, • 3+ years experience in software/data engineering, ideally in microservice or event-driven architecture, • Advanced SQL and database design skills, • Experience with cloud environments and distributed systems, • Experience with financial/transaction data pipelines or interest in learning deeply, • Familiarity with Snowflake or similar data warehouse tools (preferred), • Bias for action and comfort working with ambiguity, • Ability to thrive in a fast-moving, collaborative, mission-driven team, • Clear communicator who brings clarity, not complexity, • Scrappy, resilient, and energized by building things that work in the real world at scale

Job Description We are looking for a full-stack software engineer to build software to efficiently manage microgrids and other distributed energy resources. This is a great role for someone looking to build software that will change the future of the energy industry. This role will report to our Director of Software Engineering and be based in our New York City office (Union Square area). Key responsibilities will include: • Front-end development: build web applications with modern, interactive UIs for operators and customers, • Architect and maintain high-performance backend services and APIs (FastAPI, PostgreSQL) to support real-time microgrid operations, telemetry data pipelines, and optimization workflows at scale, • Develop and enhance financial modeling features, building reliable calculation engines and data integrations that support portfolio-level analysis and investment decision-making, • Design and validate mathematical optimization models (MILP/LP) using Pyomo and commercial or open-source solvers (HiGHS, Gurobi) for generator dispatch and fleet-level maintenance scheduling, including heuristic approaches, OPH projection, and constraint-based planning, • Build and extend simulation infrastructure (rolling dispatch, Monte Carlo scenario analysis) to validate optimization outputs, refine algorithmic approaches, and auto-tune model parameters against operational requirements, • IoT and messaging pipelines: design and maintain scalable data ingestion, transformation, and event-driven pipelines (MQTT, AWS IoT, SQS, Sparkplug B), • System design: collaborate with product management and design to deliver robust software products that excite users and achieve business goals, • Reliability & observability: implement logging, monitoring, and alerting for high availability microgrid software deployments, • Collaboration: work with stakeholders across engineering, operations, and product to turn workflows into production-ready automation, • Continuous improvement: assess and adopt new technologies to enhance performance, scalability, and maintainabilityThe Ideal Candidate, • Bachelor’s degree in Computer Science, Electrical Engineering, or related field preferred, • 5+ years of experience with Python and JavaScript/TypeScript development, • Energy experience and modeling, optimization, • Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting, DSP, control systems, • Constraint modeling frameworks (Pyomo) and commercial/open-source solvers (HiGHS, Gurobi, GLPK), • FastAPI and microservices experience, • React for front-end development, • PostgreSQL and relational database design, • Experience with high-volume, time-series data processing, • Experience with message brokers and IoT protocols (MQTT, Sparkplug B, AWS IoT Core), • Experience with SCADA platforms (e.g., Ignition or equivalent) and deployment and management of edge devices, • Experience with SCADA/energy protocols such as Modbus, OpenADR, DNP3, or IEEE 61850

Job Description You own the science—and how it shows up in the work. You lead medical strategy across major brands and therapy areas, shaping direction, guiding teams, and building trust with clients at a senior level. You’re not just validating strategy—you’re driving it. You sit at the intersection of medical, brand, and creative, making sure everything is aligned, accurate, and built to perform. Responsibilities • Own medical strategy across major brands and therapy areas, • Lead multi-brand portfolios with confidence, consistency, and clear strategic direction, • Act as a senior client partner—trusted voice in strategic and scientific discussions, • Shape brand direction by integrating medical strategy with brand, engagement, and creative teams, • Drive the promotional narrative, ensuring scientific accuracy and commercial relevance, • Lead complex, high-visibility accounts with strong judgment and steady decision-making, • Partner closely with account and creative leadership to elevate the work early and continuously, • Guide work through MLR with clarity, speed, and authority, • Mentor and oversee Associate Directors and Strategists, building capability across levels, • Advanced degree (PharmD, MD, PhD, or equivalent scientific training preferred), • 7–12+ years of experience in medical strategy, medical communications, or pharma advertising, • Proven experience leading multi-brand or therapy area accounts, • Strong understanding of clinical data, regulatory environments, and promotional compliance, • Track record of shaping brand strategy—not just reviewing it, • Confident senior client presence with strong relationship-building skills, • Experience mentoring and developing multi-level teams, • Strong strategic judgment with the ability to simplify complex science into clear direction Pay Range- $145,000 - $160,000 Benefits Template

Job Description Join a forward-thinking financial conglomerate and be at the forefront of innovation in the industry. We're seeking a Machine Learning Developer to be part of our dynamic team. If you're a Python enthusiast or an adept programmer with a passion for data-driven decision-making, we want to talk to you. Job Description: Position Overview: As a Machine Learning Developer, you'll be a valuable member of our team, working on projects that span from infrastructure development to cutting-edge modeling. The ideal candidate is someone with strong coding abilities and a solid foundation in mathematics, computer science, statistics, or machine learning. If you have an entrepreneurial spirit, a collaborative mindset, and a hunger for professional growth, we'd love to meet you. Key Responsibilities: • Engage in a mix of infrastructure work (25%) and modeling (75%)., • Handle projects in various ML disciplines, including Natural Language Processing (NLP), unstructured data analysis, predictive modeling, and classic machine learning., • Collaborate with a two-person team and liaise with different stakeholders within the organization., • Strong coding skills, preferably in Python or a similar programming language., • Solid background in mathematics, computer science, statistics, or machine learning., • A proactive and entrepreneurial mindset., • Preferred: At least 2 years of professional work experience., • Experience in ML disciplines, particularly in NLP, unstructured data analysis, predictive modeling, or classic machine learning, is a significant advantage. Application Process The application process for the Machine Learning Developer position consists of three steps to ensure we find the best candidates: Step 1: Introductory Call The first step involves a 30-minute introductory call with the hiring manager. This is an opportunity for you to discuss your skills, experience, and aspirations, and to learn more about the role and the team. Step 2: Coding Algorithm Test If you successfully pass the introductory call, the second step is a coding algorithm test. You will be provided with a coding challenge to assess your problem-solving and programming skills. This test helps us understand your practical abilities and how well you can apply your knowledge to real-world scenarios. Step 3: Coding Interview In the third step, we will conduct a coding portion of the interview to evaluate your development skills in more depth. This interview is designed to ensure that your coding and development skills meet our standards and align with the responsibilities of the role. We encourage all qualified applicants to take the first step and schedule an introductory call. Join our innovative team and demonstrate your development skills to make a significant impact in the financial industry. To schedule your introductory call and advance to the next steps, please send your resume and a brief introduction. Cypress Group is committed to diversity and inclusion in the workplace. We appreciate the interest of all applicants and will contact candidates who advance to the coding interview phase.

Job Description Overview: At BHSI, we believe in empowering our customers to navigate a world full of uncertainty. Property and Casualty (P&C) Insurance plays a vital role in helping individuals and businesses manage risk by transferring potential financial losses to insurers. At the heart of this process is the underwriter—a key decision-maker who evaluates risk and crafts insurance solutions that protect what matters most. As a P&C Underwriting Intern, you will gain hands-on experience in assessing risk, structuring policies, collaborating with internal and external partners, and managing a business portfolio. This is your opportunity to gain experience, enhance your skills, contribute meaningfully, and be part of a team that’s transforming the insurance industry. BHSI is building a forever business, and we want you to consider being a part of it! Learn more about our unique culture and history. Opportunity: We are seeking a motivated and curious individual to join our New York Commercial Property team as a Summer Intern. This 12-week paid internship offers a deep dive into the world of commercial underwriting. You will: • Learn how to evaluate and underwrite commercial property risks., • Gain exposure to the insurance lifecycle and the broader commercial property market., • Collaborate with experienced underwriters and cross-functional teams. What You will Learn: • Fundamentals of commercial insurance, • Risk assessment and pricing strategies, • Industry trends and market dynamics, • Interest in Insurance, underwriting, market trends or pursuing a degree in a relevant field (e.g., Business, Finance, Risk Management, Actuarial Science), • Analytical and detail-oriented, with strong problem-solving skills, • Proficiency in math and comfortable with statistics, probability and financial principles, • Effective communicator and team player, • Adaptable, self-motivated, and eager to learn Attributes & Values: • Strategic thinking and critical analysis, • Strong organizational and time management skills, • Customer-focused mindset, • Embodies respect and integrity, • Passion for excellence and continuous improvement The base salary range for this position in New York is from $22/hour - $25/hour; a candidate’s salary is determined by their relevant skills and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job DescriptionAbout Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute — a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on . Role Summary As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the US. What You Will Do Lead Development (Strategic Outbound and Qualified Inbound):• Conduct strategic outreach and manage warm introductions to potential enterprise customers.• Convert inbound leads where there are opportunities for upselling or more bespoke agreements. Value Proposition Validation for Customers:• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts. Deal Management & Closing:• Develop and execute strategic sales plans to convert leads into valued customers.• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams. Executive Engagement:• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives. Technical Aptitude:• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.• Collaborate with our technical team to address any customer inquiries or concerns. Training and Enablement:• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities. Who you are • 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. • Deep understanding of the US market dynamics and enterprise landscape.• Experience of consultative selling of highly complex, technical products.• Bachelor's and/or Master's degree in Business, Computer Science, or a related field.• Significant work experience within the AI ecosystem or related data/infrastructure field.• Experience working at a successful, fast-growing startup, ideally in deep-tech.• Strong technical skills to navigate quickly evolving products and steer technical discussions.• Excellent written and verbal communication in English, and a bonus for French.• Outstanding negotiation and communication skills to build relationships and close deals effectively. What we offer \uD83D\uDCB0 Competitive salary and equity.\uD83D\uDE91 Healthcare: Medical/Dental/Vision covered for you and your family.\uD83D\uDC74\uD83C\uDFFB 401K : 6% matching\uD83C\uDFDD️ PTO : 18 days \uD83D\uDE97 Transportation: Reimburse office parking charges, or $120/month for public transport\uD83C\uDFC0 Sport: $120/month reimbursement for gym membership\uD83E\uDD55 Meal stipend: $400 monthly allowance for meals \uD83C\uDF0E Visa sponsorship \uD83E\uDD1D Coaching: we offer BetterUp coaching on a voluntary basis By applying, you agree to our Applicant Privacy Policy.

Job DescriptionAbout the RoleWe are seeking a Data Product Manager to lead and manage a portfolio of 3–5 enterprise data products. This role is ideal for someone with deep experience in data technologies, data governance, and analytics, combined with a strong understanding of core banking processes. You will serve as the strategic owner of data products, ensuring they meet business needs, drive insights, and support compliance and operational excellence.As a senior leader, you will work closely with business stakeholders, data engineers, data architects, and analytics teams to deliver high-quality, governed, and scalable data products. You will also help define the vision, roadmap, and lifecycle management of these products in alignment with the bank’s enterprise data strategy.Key ResponsibilitiesProduct Ownership & Strategy· Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.· Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.· Define and track key product success metrics and adoption KPIs.· Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.Stakeholder Engagement· Act as the primary liaison between business stakeholders and data engineering/analytics teams.· Gather and translate business requirements into actionable data product specifications.· Facilitate cross-functional collaboration to resolve trade-offs and dependencies.Data Governance & Quality· Ensure data products comply with regulatory, security, and privacy requirements.· Define and enforce data quality standards, lineage, and observability metrics.· Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.Technical Leadership· Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).· Collaborate with data engineering teams on architecture, modeling, and platform decisions.· Evaluate emerging technologies and recommend innovations to improve data products and processes.Execution & Delivery· Drive delivery of data products using agile methodologies.· Prioritize backlog, manage sprints, and ensure timely delivery of features.· Monitor and measure product performance, adoption, and business impact.Thought Leadership· Contribute to the overall data product management framework and best practices within the bank.· Promote a culture of data-driven decision-making and product-centric thinking.Required Qualifications· 8+ years of experience in data product management, data strategy, or analytics roles; experience in banking/financial services preferred.· Strong understanding of core banking products (e.g., deposits, loans, payments) and associated operational data flows.· Solid knowledge of data architecture, warehousing, BI, analytics, and cloud platforms.· Proven ability to manage multiple data products simultaneously.· Excellent communication, stakeholder management, and leadership skills.· Experience with Agile/Scrum methodologies and data governance frameworks.· Bachelor’s degree in Computer Science, Information Systems, Finance, or related field; advanced degree preferred.Preferred Qualifications· Hands-on experience with HiveQL, SQL, Tableau· Understanding of regulatory reporting requirements (e.g., CCAR, FR Y-14, Basel).· Exposure to semantic layers, or enterprise data product management frameworks.

Job Description Role & Responsibilities: • Own product vision and strategy for P&C insurance products and platforms, translating enterprise and portfolio strategy into a clear, value-driven product roadmap., • Act as the voice of the business and customer, partnering with underwriting, actuarial, compliance, and technology teams to gather insights and define well-scoped problems, desired outcomes, and measurable success criteria., • Own and continuously prioritize the product backlog, authoring clear, testable user stories and acceptance criteria., • Define, track, and be accountable for product KPIs, work with cross functional teams to meet the goals., • Collaborate daily with engineering teams, architects, actuaries, and data teams to clarify requirements, remove blockers, and ensure delivery aligns with business, regulatory, and underwriting outcomes., • Lead quarterly planning, sprint planning, and backlog refinement with cross-functional squads and stakeholders, setting clear expectations on scope, timelines, and dependencies., • Coordinate across multiple portfolios and product teams to identify existing capabilities (rating engines, underwriting services, policy administration), promote reuse, and surface capability gaps to reduce duplication., • Coordinate production releases by managing the deployment of code to production, ensuring timely and accurate delivery of new features to business stakeholders., • Partner with enterprise and solution architects to understand system impacts, data flows, and dependencies across rating, underwriting, policy systems etc., • Assess feasibility, cost-of-delay, regulatory impact, and business value for proposed enhancements; influence prioritization decisions using data and insurance domain knowledge., • Setting priorities and actively participating in team planning and scrum ceremonies, • Working daily with the agile working group, clarifying business requirements, removing roadblocks, constantly communicating, and supporting alignment around product strategy, • Identify the relationships, dependencies and impacts of change (highlighting options) on multiple systems and processes, • Contribute to the project as required to develop proposals, requirements or other project documentation., • Elicit further requirements and test / challenge assumptions using a variety of methods including interviews, document analysis, workshops and business process descriptions, • Contribute to the Business Solutions Team development of standards / methodology for capturing and publishing business processes, requirements and other documentation, • Defining and documenting epics, user stories, acceptance criteria, etc. for complex solutions, • Work effectively as part of a project team alongside the Senior Product Owner, Scrum master and delivery team, • Ensure product features and releases comply with P&C regulatory requirements, rate-filing constraints, auditability, data privacy, and industry standards; negotiate priorities to maintain compliance without sacrificing value., • Contribute to team sprint planning and set expectations for delivery of new capabilities, features, and functionalities., • Participate in team demos, retrospectives, and all other ceremonies., • Accountable for developing and achieving product level KPIs. Manages product(s) (data products) with a moderate degree of strategy, scope, and complexity., • Collaborate with technology and business leadership to align system/application integrations in line with business goals and priorities. Resolve open issues/questions quickly and efficiently., • Set expectations with stakeholders for delivery of new capabilities, features, and functionalities. Participates in team demos, retrospectives, and all other ceremonies., • Monitor and maintain the product health, supporting long-term product viability and efficiency, and balancing long and short term and costs with desired outcomes., • Bachelor's degree in Computer Science, Business Administration, or related field; Master's degree preferred., • Considerable relevant industry or functional experience in P&C insurance, • Proven experience (5+ years) as a Product Owner, Product Manager, or similar role, • Strong understanding of Agile methodologies, including Scrum and Kanban, and experience working in Agile environments., • Technical fluency to partner effectively with architects and engineers (systems thinking, dependencies, integration points)., • Excellent analytical, problem-solving, and decision-making skills, with the ability to prioritize competing demands effectively., • Exceptional communication, negotiation, and interpersonal skills, with the ability to influence and collaborate across teams., • Strong Presentation and leadership skills, • Experience with product management tools such as JIRA, Trello, or Asana, and proficiency in Microsoft Office Suite., • Agile practitioner capabilities and experience working with or in Agile teams, • Strong team-work, co-ordination, organization and planning skills, • Ability to capture complex requirements in a prioritized backlog

Job DescriptionIntro description: Legalist is a tech-enabled alternative asset manager that uses proprietary data-driven origination to invest in uncorrelated legal and government-payment assets. Founded out of Y Combinator in 2016, Legalist manages over $1.7 billion for endowments, foundations, and family offices. Portfolio Operations Specialist We are seeking a Portfolio Operations Specialist to support our Litigation Finance Portfolio Monitoring team through legal research, case analysis, and portfolio monitoring. This role sits at the intersection of law and investing, combining paralegal expertise with analytical rigor to evaluate and track investments in litigation. You will work closely with attorneys, investment professionals, and cross-functional teams to assess opportunities, monitor active matters, and produce clear, actionable insights. This is an opportunity to contribute to a fast-paced, technology-driven investment platform operating at the forefront of legal finance. Key Responsibilities • Review and analyze legal documents, case filings, and supporting materials to inform underwriting and portfolio monitoring, • Conduct legal, factual, and background research, including identifying analogous cases and relevant developments, • Support due diligence efforts by evaluating counterparties, legal claims, and associated risks, • Organize, index, and maintain case files, investment documentation, and internal records, • Track key case developments, deadlines, and portfolio performance across active matters, • Draft clear and concise summaries, memoranda, and internal reports on legal and investment findings, • Collaborate cross-functionally with legal, underwriting, operations, and technology teams, • Contribute to process improvements, workflow management, and data organization across the portfolio, • Bachelor's degree in Political Science, History, Economics, Law, Business, or a related field (or equivalent experience), • 3–5+ years of relevant experience, such as: Paralegal experience at an AmLaw 200 or comparable firmLegal research, compliance, investigations, or litigation support roles, • Proficiency with legal research tools such as LexisNexis and Westlaw, • Strong analytical, research, and writing skills with the ability to synthesize complex legal and financial information, • Experience reviewing legal documents and managing case-related workflows, • High attention to detail with strong organizational and document management skills, • Ability to communicate complex concepts clearly, both written and verbally, • Comfortable working in a fast-paced, evolving environment with shifting priorities, • Exposure to financial analysis, underwriting, or investment-related work, • Familiarity with litigation finance, credit investing, or legal risk assessment, • Experience drafting memoranda or case summaries for decision-making purposes

Job DescriptionAI Cloud Solutions Director Company Overview: Forhyre is a leading technology solutions provider that specializes in developing and implementing AI-driven cloud solutions for businesses across various industries. We are committed to delivering innovative and scalable AI solutions that help our clients optimize their operations and achieve their business goals. Position Overview: We are seeking an experienced and dynamic AI Cloud Solutions Director to join our team. The AI Cloud Solutions Director will be responsible for leading our AI cloud solutions division and driving the development and implementation of cutting-edge AI solutions for our clients. The successful candidate will have a strong technical background in AI and cloud computing, as well as a proven track record of successfully delivering complex AI projects. Responsibilities: • Lead the AI cloud solutions division and oversee all aspects of the division’s operations., • Collaborate with cross-functional teams to develop and execute the strategic vision for AI cloud solutions., • Drive the development and implementation of innovative AI cloud solutions that address client needs and deliver measurable business value., • Provide technical leadership and guidance to the AI cloud solutions team, ensuring that projects are delivered on time and within budget., • Stay up-to-date with the latest advancements in AI and cloud computing technologies, and assess their potential impact on our clients’ businesses., • Build and foster strong relationships with key stakeholders, including clients, partners, and internal teams., • Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is preferred., • Minimum of 8 years of experience in the development and implementation of AI solutions, with at least 3 years in a leadership role., • Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision., • Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud., • Proven track record of successfully delivering complex AI projects on time and within budget., • Excellent leadership and communication skills, with the ability to effectively collaborate with cross-functional teams., • Strong problem-solving and decision-making abilities., • Competitive salary package, • Comprehensive health insurance, • Flexible work schedule, • Professional development opportunities

Job Description At Sage Alliance Schools, we support students in grades 5–12 through rigorous academics paired with therapeutic services. Guided by care, resilience, and community, we prepare students to thrive inside and outside the classroom. Join our team and empower students to succeed. As a Behavioral Coach at Sage Alliance, you will play a key role in creating a safe, structured, and supportive environment for students. The Behavior Coach is responsible for the supervision, safety and care of students. Through mentoring, role modeling, and guidance, you will help students build decision making skills, manage behaviors, and grow both academically and emotionally. What You’ll Need * Bachelor’s degree preferred in Psychology, Education or Behavioral Science or equivalent experience (i.e. BCBA) * Experience working with adolescents, ideally in an educational or behavioral setting * Knowledge of behavior modification techniques and mental health supports * Strong communication, problem solving, and interpersonal skills * Ability to build positive relationships with students, families, and staff * Ability to remain calm, responsive, and professional in high pressure situations What You’ll Do * Perform non-violent crisis intervention techniques, including verbal and physical redirection, and guidance of potentially physically aggressive students * Provide students with guidance, support, and structure through mentoring and role modeling * Build strong, positive relationships with students while promoting respect, empathy, and accountability * Respond to behavioral concerns and help enforce school expectations * Support students in developing decision making and conflict resolution skills * Collaborate with school leadership and staff to maintain a safe environment * Document student behavior, communication, and incidents in a timely and accurate manner * Assist with referrals to outside services and support student needs as appropriate * Utilize de-escalation and crisis intervention techniques when necessary Why You’ll Love Working Here * Enjoy both paid time off and extra paid school breaks (for select roles), plus paid holidays * Wellness perks including gym discounts, mindfulness apps, and prescription savings * Tuition reimbursement, career development programs, and leadership training * 401(k) retirement savings with a 4% company match and immediate vesting * Health, dental, and vision insurance * Free Employee Assistance Program with confidential counseling, life coaching, and mental health resources * Life insurance, disability coverage, and Health Savings Account (HSA) contributions at no cost to you Sage Alliance Schools is an equal opportunity employer, committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy status, national origin, age, disability, genetic information, or status as a protected veteran, or any other characteristic protected by law. If you require reasonable accommodations during the application or interview process, please contact us at .

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionAbout us At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are launching a new suite of GenAI and SaaS services, designed specifically for financial professionals. Join a Company that is Powering the Future of Finance with AI RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year’s Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata, our Gen-AI platform tailored for finance, which is already being recognized as the #1 platform for powering financial AI agents. About The Role We're seeking a Business Development Representative (BDR) to join our dynamic NY team and drive sales, prospecting, business development and opportunities of RavenPack's industry-leading GenAI and SaaS services. In this role, you'll play a pivotal part in democratizing access to real-time, high-quality financial data through our comprehensive suite of offerings, including our latest GenAI platform, Bigdata.com. You will report directly to the Global BDR Manager and collaborate closely with our Business Executives, Data Science, and Marketing teams to achieve your goals. Key Responsibilities * Prospect and qualify leads from a list of targeted contacts and accounts. * Present and clearly communicate RavenPack’s value proposition to major decision-makers. * Leverage leading-edge sales and marketing tools to research and identify ideal personas to prospect * Track and manage prospects through Businessforce.com. * Perform high volume outbound prospecting through emailing campaigns, calls and research tools such as LinkedIn or Salesforce. * Schedule and proactively set up meetings between qualified leads and Sales Executives. * Re-engage stale or missed leads and opportunities. * Work closely with Business and Marketing team members to achieve organizational goals. Qualifications * 1 - 3 years of Sales or BDR Experience (preferably in a SaaS Company) with KPI-driven quota incentive structure * CRM experience is a must * Outstanding verbal and written communication skills. * Proven lead generation or Business development experience. * Superior pre-call planning, opportunity qualification and objection handling skills. * Aptitude to manage time effectively, prioritize and multitask. * Strong analytical thinker and problem solver. * Desire to grow and advance a career in Business. * Bachelor’s degree or University level equivalent education required. What's in it for You? * Growth Opportunity: Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that truly matters for business and finance. * International Culture: Be part of a diverse, global organization with a truly international culture. * Team of Superstars: Work alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans. * Work-Life Balance: Enjoy paid vacation, flexible time-off, and a flexible work policy. * Benefits: Access to healthcare insurance and a 401K plan. * Hybrid work arrangement * Equal Opportunity Employer: We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description This is a rare opportunity to lead the future of workplace technology. We Versant Media are starting off with a clean slate, free from the burden of legacy tech debt. As our Senior Director of Workplace Engineering, you will have the mandate to bring fresh, innovative ideas that completely rethink what workplace technology looks and feels like for a modern enterprise. You will lead a world-class team of engineering directors and managers, empowering them to design, build, and deploy the next generation of solutions that power our global offices and enable a seamless hybrid work environment. You will be at the forefront of our strategy, integrating IoT, building automation, and collaboration systems with interior design and architecture to build an iconic HQ that inspires our employees and impresses our guests. If you are a visionary leader who can balance deep technical expertise with strong people leadership, and you are ready to build a high-performing engineering culture from the ground up, this is the role for you. Qualifications Basic Requirements: · A bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field. · 10+ years of extensive software development experience, with a proven track record in a senior leadership or management role overseeing software engineers. · Demonstrable experience leading the delivery of software products or platforms in a fast-paced, agile environment. · Strong software engineering background with expertise in modern web technologies and cloud-based architectures (AWS, Azure). We value diverse language experience and a strong ability to apply engineering best practices across tech stacks. · Experience in overseeing solution design and architecture, driving alignment with business objectives, and optimizing systems for scalability and modernization. · Exceptional collaboration skills, with the ability to effectively communicate and partner with technical and non-technical stakeholders across all levels of the organization. · A strategic mindset with strong problem-solving abilities, comfortable making technical decisions, reviewing designs, and guiding teams through complex engineering challenges. Desired Characteristics: · Workplace Innovation: Experience building and integrating IoT and automation systems within a new building or a modern workplace environment. · AI and Data Expertise: Familiarity with AI/ML concepts and experience integrating AI-driven tools or features into software products (e.g., chatbots, recommendation systems). · System Integration: Expertise in tightly integrating building technology with daily employee-facing systems to create a cohesive user experience. · Leadership & Culture: A demonstrated ability to mentor developers, provide constructive feedback, and build a positive, innovative, and inclusive team culture. Additional Requirements: • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $190,000 - $245,000 (bonus and long-term incentive eligible) We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Software Engineer to lead the design and implementation of our foundational incentive and rewards platform. In this role, you will act as a strong steward of our backend systems, building the core infrastructure that connects real-world vision signals with personalized member experiences. You are an expert-level engineer who can explain complex business and technical requirements, mentoring others while driving large-scope projects to completion. You thrive on high-growth challenges and are eager to build high-quality, scalable systems that bridge digital engagement with physical arrivals. What you'll do • Design and implement the backend services that power the Metropolis incentive and rewards infrastructure, • Build real-time event streaming architectures to process and react to high-frequency signals from the physical world, • Develop scalable compliance and preference management services to ensure cross-vertical message delivery integrity, • Architect intelligent decisioning frameworks that evaluate user context and profiles to deliver personalized experiences, • Create robust service architectures to manage product eligibility, partner configurations, and budget constraints, • Implement comprehensive attribution and measurement systems to quantify user engagement and campaign efficacy, • Scale and maintain multi-modal identity systems that bridge digital tokens with real-world identifiers, • Collaborate with cross-functional teams in Product, Marketing, and Data to define the long-term technical roadmap, • Mentor team members and lead technical discussions to drive continuous improvement of the engineering platform, • Drive the full software development lifecycle from initial conceptualization through to production deploymentWhat we're looking for, • 6+ years of software engineering experience, • BS or MS in Computer Science or equivalent work experience, • Working knowledge of Scala, Java, or other JVM languages supporting functional programming, • Experience building distributed systems using microservices, SOA, and event-driven architectures, • Deep understanding of agile processes and the software development life cycle, including TDD/BDD and CI/CD, • Experience with database technologies such as MySQL and RDS, • Proven ability to design and build highly available and scalable systems, • Excellent written and verbal communication skills for presenting complex technical information, • Professional exposure to developing large-scale, high-quality systems for consumer-facing applicationsWhile not required, these are a plus:, • Hands-on experience with container technologies and infrastructure as code, • Previous experience working in innovative, high-growth environments Our Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-CM1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are looking for an exceptional Senior Product Manager, Reporting & Client Insights to join our Health Intelligence team. This role will lead the development of innovative insights built from client-level healthcare claims and performance data. You will shape the reporting and analytics products that power executive decision-making for employers, consultants, and internal stakeholders. These products sit at the core of how we demonstrate value, drive client adoption, and scale our impact. As the lead product manager, you will develop the data concepts and insight frameworks we provide, collaborate closely with data engineers, analysts, and data scientists within Garner, and partner with senior client leaders to ensure our reporting drives action and measurable outcomes. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Interact with senior client leaders and internal stakeholders to understand their reporting needs and translate them into scalable data products, • Partner with data engineers, data analysts, other product managers, and data scientists to design, develop, and refine innovative insights built from client data, • Own the end to end product lifecycle for reporting and analytics tools, from concept through launch and iteration, • Build and continuously improve high-quality QA, data validation, and delivery processes to ensure accuracy, reliability, and trust, • Define target client profiles and contribute to our overall Insights and reporting strategy, • Drive clarity around metrics, definitions, and data governance to ensure consistent and trusted outputs across the organizationThe ideal candidate has:, • 5+ years of product management, data science leadership, or technical strategy experience, • Exceptional analytical and statistical problem solving, • Experience managing a wide variety of internal and external stakeholders, • Experience in healthcare technology or data products (preferred), • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $200,000 - $240,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Job Title: Data Analyst Grade: 22 Salary: $80,698- $113,989 The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Data Analyst position. Mental Health Data Science provides statistical collaboration, data analytic methodological development, and data management for psychiatric and mental health research conducted within the Department of Psychiatry, Research Foundation for Mental Hygiene (RFMH), and the New York State Psychiatric Institute (NYSPI). We participate in extensive statistical collaborations with over 50 psychiatry researchers in any given year, providing statistical expertise and analysis to projects, including: biomarkers from brain imaging and neurocognitive tasks for mood and anxiety disorders and psychosis; clinical trials of new pharmacotherapies and psychotherapies for psychiatric and neurological disorders, including building treatment decision rules; implementation studies of support service programs for mental health treatment and prevention; measurement studies for improving psychometrics of diagnosis instruments in substance use disorders, depression, and biological aging; cohort studies of child-adolescent development of psychiatric and substance use disorders; causal analysis of prescribing practices monitored from medical claims records; momentary assessment studies of cardiovascular response to emotions and stress markers related to suicide; and much more. Seeking a qualified candidate to fill a full-time position of biostatistical data analyst in Mental Health Data Science division at The Research Foundation for Mental Hygiene affiliated also with the Department of Psychiatry at Columbia University Irving Medical Center. Duties and Responsibilities: • Specific duties will include the statistical analysis of clinical, epidemiological, and biological data., • The position will include planning and performing statistical analyses and writing reports for various externally funded research projects., • Excellent oral and written communication skills are highly preferred as is any prior experience in statistical consulting and analyzing data arising from psychiatric research. Solid academic training in biostatistics methods include techniques such as generalized linear modeling, multilevel and longitudinal models. To Apply: Submit an application through our website at . Please note only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job Description Primary Responsibilities · Lead Clinical Pharmacology strategy across early and late stage development, integrating PK, PD, exposure–response, and biomarker data to inform dose selection, regimen, and overall study design. · Own model informed drug development (MIDD) plans (e.g., population PK, PBPK, and quantitative systems approaches) to optimize trial designs and decision points from first in human through pivotal phases. · Author and review CP deliverables for protocols, clinical development plans, IBs, SAPs, and regulatory documents (IND/IMPD/NDA/BLA/MAA), ensuring clarity, traceability, and compliance. · Drive analysis & reporting of PK/PD and exposure–response results (internal and CRO executed), ensuring scientific integrity, reproducibility, and timely insights for program teams and governance. · Establish bioanalytical strategy and standards (method selection/validation, sample handling, and data QC) in partnership with Translational Medicine and external labs/CROs. · Lead Health Authority interactions for CP topics; prepare briefing materials, address IRs, and represent the function in meetings with FDA, EMA, and other agencies. · Provide cross functional leadership with Clinical, Biostatistics, Data Science, CMC, and Regulatory to integrate quantitative evidence into go/no go decisions and portfolio prioritization. · Vendor selection and management for CP related CROs; define scopes, oversee execution, and ensure deliverables meet quality and timeline commitments. · Advance standards & governance (CDISC/ADaM for PK datasets, data pipelines, analysis reproducibility), championing best practices and inspection readiness for a GxP environment. · People collaborations (please note this is an individual contributor role): Must roll up sleeves and be a doer who wants to be into the details themselves. Mentor staff cross functionally and foster an inclusive, high-performance culture consistent with Immuneering values. Qualifications Education · Education: PhD or PharmD (or MS with significant industry experience) in Clinical Pharmacology, Pharmacokinetics, Pharmaceutical Sciences, or related quantitative field required. · Experience: Minimum of 5+ years in biotech/pharma Clinical Pharmacology required, more years of experience is a plus, including end-to-end ownership of CP strategy, MIDD, and regulatory submissions across Phase 1–3. · Technical depth: • Population PK/PD modeling (NONMEM, Monolix), PBPK (Simcyp, GastroPlus), and exposure–response methods., • Bioanalytical method development/validation oversight and data integrity in GxP contexts. Soft skills: Strong experience working as an individual contributor. This is a single employee function expected to collaborate with internal functions for success. Exceptional scientific communication, cross functional influence, vendor management, and decision making in fast paced settings. Must embody Immuneering’s core values of: Data Rules, Humble, All In, Care and Own It (accountability). Physical Demands/ Working Conditions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requires prolonged sitting, some bending, stooping, and stretching. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires the ability to perform essential job functions with or without reasonable accommodation. No significant lifting is associated with the role. While extensive travel is not anticipated with this role, it is possible to perhaps up to 15% at times. Requires prolonged sitting, some bending, stooping, and stretching. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires normal range of hearing and eyesight to record, prepare and communicate appropriate reports. No significant lifting is associated with the role. Immuneering is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Job Offers: Immuneering uses the Immuneering.com domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Immuneering but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Immuneering without a prior written agreement in place will be considered property of Immuneering, and no fee will be paid in the event of a hire. Thank you for your understanding.

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes * Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * AI Safety * PhD focused on topics related to adversarial machine learning, red teaming and model alignment. * Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. * Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. * Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. * Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Publications studying tokenization, data quality, dataset curation, or labeling * Contribution to a major open source corpus * Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).