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Senior Machine Learning Engineer (Generative AI) Location: Hybrid – Newark, NJ Employment Type: Right to Hire (Contract-to-Hire) Pay Rate: $70–$85/hr Position Overview We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments, ensuring our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. This is a right-to-hire position requiring permanent U.S. work authorization Sponsorship is not available. Recent MS or PhD graduates are encouraged to apply. Key Responsibilities • Deploy, monitor, and maintain GenAI models in production, ensuring reliable performance in real-world settings, • Build and maintain efficient data pipelines and storage solutions that support model operations, • Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation), • Develop CI/CD pipelines, manage version control (Git), and automate deployment processes, • Implement secure coding practices, authentication, authorization, and robust monitoring and alerting for infrastructure and model performance, • Apply deep expertise in LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized GenAI infrastructure, • Apply advanced techniques such as Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems, • Design and develop agent and multi-agent systems using frameworks like LangChain, enabling interaction with external APIs and tools, • Implement strategies to manage and reduce operational costs associated with GenAI deployments Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred, • 5+ years of experience as a machine learning engineer deploying models in production, • Strong proficiency in Python and software engineering principles, • Solid understanding of machine learning fundamentals and model lifecycle management, • Experience with cloud platforms, containerization, and infrastructure management, • Familiarity with DevOps practices and automation tools, • Expertise in GenAI frameworks, prompt engineering, and model serving, • Ability to manage GPU/TPU resources and optimize model serving frameworks, • Experience developing agentic systems and multi-agent architectures, • Proven track record of cost optimization in AI deployments, • Comfortable working in a fast-paced environment as an independent contributor

Job DescriptionAbout Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We are seeking a Staff or Senior Staff Research Scientist to lead the design, development, and implementation of advanced AI/ML and LLM-based models for clinical data understanding. This is a senior, hands-on research role. You will build and customize models, design architectures, and drive ML innovation from concept through production. This is not a data science or analytics role—we are looking for someone who deeply understands how models work internally and can independently solve complex, open-ended problems. Leveling is based on experience: • Staff Research Scientist: 7+ years of relevant experience, • Senior Staff Research Scientist: 10+ years, including technical leadership responsibilities What We’re Looking For • A senior researcher who builds models, not dashboards, • A hands-on technologist who understands model architecture, training, and optimization, • Someone who can define strategy, lead initiatives, and still write production-quality code, • A strong independent problem solver comfortable with ambiguity and research-driven development, • A technical leader who can mentor others while delivering individually Key ResponsibilitiesResearch, Development & Implementation • Design, build, train, and deploy AI/ML and LLM-based models, • Own the full model lifecycle: problem definition, research, prototyping, training, evaluation, and deployment, • Apply strong understanding of ML and AI fundamentals to real-world biomedical problems, • Develop and optimize models using Python and modern ML frameworks, • Research emerging techniques and propose innovative solutions aligned with product and business needsProblem Solving & Strategy, • Independently analyze complex, ambiguous problems and determine appropriate modeling approaches, • Evaluate and recommend technical solutions and system architectures, • Translate research concepts into scalable, production-ready systems, • Contribute to long-term ML and AI strategy and technical visionLeadership, • Lead cross-project research and development initiatives, • Provide technical mentorship and guidance to junior researchers and engineers, • Establish best practices for experimentation, model development, and deployment, • Influence technical roadmaps and architectural decisions Requirements Required Qualifications • 7+ years (Staff) or 10+ years (Senior Staff) of experience in AI/ML research or ML engineering, • Graduate degree in Computer Science, Engineering, or a related technical field, • Strong hands-on experience building, training, and deploying ML and AI models, including LLMs, • Deep understanding of model fundamentals and architecture design, • Proven ability to solve problems end-to-end, from research through implementation, • Advanced proficiency in Python for model development and training, • Experience customizing models rather than relying solely on pre-built solutions, • Ability to independently research, evaluate, and propose technical approaches Preferred Qualifications • Publication record in top-tier AI, NLP, or ML conferences, • Experience working with EMR or other complex clinical datasets, • Experience with multi-modal AI systems, • Prior senior or lead-level technical experience, • Familiarity with regulatory considerations for clinical AI systems, • Experience contributing to long-term technical strategy or system architecture, • PhD is welcome but not required Team Culture: • We lead with empathy for patients and our teammates, • We value small egos, self-awareness, and humility in our teammates, • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift, • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team, • We value open dialogue and brainstorming across multidisciplinary teams Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools., • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description About Dyania Health Dyania was born with the mission to find clinically critical and relevant insights buried within electronic medical records and release these insights to inform and drive clinical care and clinical research. Our vision is to make sure every patient gets the right care at the right time based in medical decisions precisely informed by their own data. Each patient’s medical record would take a provider nearly 2 hours to read once, let alone read again and again for all the updates cumulated over time. It would be humanly infeasible to achieve even if there was an army of available human clinicians with time that they could spare. Moreover, if so much of medicine is undiscovered, how is an AI model meant to reason appropriately if humans do not know or agree on the right answer? What does high performing reasoning mean in a world of discord and vagueness? Synapsis AI is the answer. At Dyania Health, we built Synapsis AI over years of AI research, clinicians annotating data and real world tests to acutely understand and overcome every challenge at the point of care. The reason why we became obsessed with solving this problem has its roots in the very core of what is an innately human problem. The Role We're hiring a Forward Deployed Engineer, who will report to our VP of Forward Engineering. Together, you'll be the technical face of Dyania inside every client we deploy Synapsis AI into, owning the relationship from deployment through ongoing operation. As we scale, that technical interface will run through the Forward Deployed Engineering team. This is a hybrid role: part client-facing technical liaison, part builder, translating what health systems need on the ground into the engineering work -data models, integrations, pipelines, and workflows- that makes Synapsis AI run reliably inside the healthcare system’s firewalls. As an Individual Contributor in this role, you'll thrive in a fast-changing, innovation-driven environment and partner hand-in-hand with our Clinical Innovations team composed of MDs, PharmDs, and PhDs. They define the clinical components of our solution; you own the technical side. What you will own Client technical requirements • Serve as the primary technical liaison to the client throughout deployment, owning the technical aspects of the onboarding process end to end in direct partnership with our Clinical Innovations Group and Business Development teams., • Prepare deployment timelines and coordinate release schedules alongside our release and reliability engineering teams., • Collaborate on cybersecurity reviews and other technical evaluations of Synapsis AI, guiding clients to sign-off. Client growth and platform feedback-loop • Capture technical requirements from clients and drive the development of the engineering features needed to ensure Synapsis AI efficient and reliable processing., • Own the data mapping and integration work needed both during deployment and as new use cases emerge at client sites. Implementation • Analyze and validate the various data environments and data sources Synapsis AI needs to integrate to., • Lead database mapping efforts, SQL logic definition, and prioritization of sources of truth across complex medical data pipelines., • Build and fine tune ETL pipelines that feed Synapsis AI the information needed to process clinical projects, • Partner closely with our Clinical Innovations team, who shape the clinical instructions Synapsis AI runs on, to implement clinical projects., • Support the Clinical Innovations and Business Development teams on reporting needs to ensure Synapsis AI accuracy and reliability in production. Stand-up and operational activities • Build pipelines that automate manual tasks across deployment and the day-to-day operation of Synapsis AI., • Monitor system activity and service health in partnership with our engineering team and client-side engineering team, proposing enhancements as issues or opportunities surface., • Develop, request, or enhance the workflows that support the day-to-day operation of Synapsis AI at each site., • Together with the VP Forward Engineering and in coordination with our Clinical Innovations team, own the technical communication with the client at an operational level while capturing client- and project-specific needs, translating them into clear, actionable requirements for Engineering, Product, or other internal teams at Dyania. Requirements Required Qualifications • Bachelor’s degree in Engineering, Computer Science, or a related technical field., • +5 years of experience as a software engineer using Python or similar coding languages., • +2 years of technical experience that includes customer-facing work., • Experience working with both SQL (e.g. MSSQL, Postgres) and NoSQL (MongoDB) data stores, including schema design, query-level performance tuning, and data mapping., • Experience with containerization (Docker), building and operating services in production, and CI/CD pipelines., • Hands-on experience with event-driven or workflow-based architectures (i.e.: queue/worker systems, pub/sub, durable workflow engines, or similar orchestrations of distributed, retriable jobs)., • Experience analyzing systems and providing operational enhancements., • Experience communicating risks or failures and capacity to adjust quickly and fix where needed., • Experience leading technical sessions with customers for requirements gathering, technical presentations, and/or debugging sessions., • Clear written and verbal communication skills with external and internal stakeholders., • Proven capability to operate in fast-moving, high-expectation, founder-led environments., • Comfortable with ambiguity and rapid scaling. Preferred Qualifications • Master’s or PhD degree in AI, Engineering, Computer Science, or a related technical field., • Experience as a Software Engineer on data-intensive systems in healthcare, bioinformatics, or a similarly regulated domain., • Experience automating processes using generative-AI tools., • Experience leading or partnering closely within cross-functional, multidisciplinary teams., • Experience working in a startup-environment, building products from 0 -> 1 and taking systems from conception to launch., • Strong understanding of medical terminology, EMR data structures, clinical logic, and research methodology. Who is a Dyanian? • Leads with empathy for our patients, teammates, partners, and clients, • Has an insatiable curiosity for learning new concepts and intellectual growth, • Has self-awareness in knowing what they know and what they don't know, • Maintains humility in recognizing that perfection does not exist, welcoming growth that comes from being wrong, • Has a magnetic attraction towards cross-disciplinary teams with diversity of thought, perspective, skill set, working style, knowledge, and interests who have a passion for solving challenging problems, • Maintains a flexible and adaptive attitude towards solving problems Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Visa sponsorship At Dyania Health, we sponsor visas on a case-by-case basis. Travel Requirements 25% - 30% Compensation Base salary range: $160,000 – $225,000 per year. The salary range represents Dyania Health's good-faith estimate of the base compensation for this position at the time of posting. Actual compensation will depend on factors such as experience, qualifications, skills, and other job-related considerations. This position may also be eligible for participation in Dyania Health's employee stock option plan. Benefits Benefits available to eligible employees include: • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Life and disability Insurance Work Arrangement Hybrid position requiring approximately 3–4 days per week in our Jersey City, NJ office, with approximately 1 day per week remote.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Key Responsibility Areas: • Assist in generating and updating test documentation, including standard operating procedures (SOPs), work instructions, and quality criteria for HTS magnet testing., • Support design, prototyping, and commissioning of custom test fixtures and equipment., • Work alongside test engineers, magnet designers, and manufacturing engineers to incorporate "lessons learned" from testing into future designs., • Manage virtual and physical inventory, organize assembly areas, and update manufacturing Bills of Materials (BOMs)., • Assist hardware procurement, evaluating vendor specs, and ensuring incoming parts meet quality standards., • Track test metrics and results, and progress against critical program milestones.Ideal Experience & Skillsets:, • Currently pursuing a Bachelor’s, Master’s or PhD in Mechanical Engineering, Aerospace Engineering, Materials Science, or a related technical field., • Strong foundational understanding of engineering drawings and spatial mechanics (exposure to GD&T is a major plus)., • Hands-on project experience (e.g., Formula SAE, rocketry club, robotics club, etc.) involving mechanical or electrical hardware design, build, and test., • Familiarity with relevant hardware and software for developing test controls including LabView, Python, National Instruments, thermocouples and voltage taps, and similar equipment and software, • Direct experience with fabrication or assembly processes such as machining (hand tools, manual mill, CNC), fastened and bonded assemblies, soldering, etc., • Familiarity with CAD software (e.g., SolidWorks, NX)., • Ability to work through and solve highly multidisciplinary engineering problems, • Ability to take initiative, work independently and as part of a team, • Exceptional work ethic, with clear communication and collaboration skills, • Ability to occasionally lift objects up to 50 lbs.Company Benefits: Salary range $21 - $25/hour Requirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics. It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Key Responsibility Areas: • Assist in generating and updating manufacturing documentation, including standard operating procedures (SOPs), work instructions, and quality criteria for HTS magnet assembly., • Support design, prototyping, and commissioning of custom manufacturing tooling, fixtures, and equipment., • Work alongside magnet designers and manufacturing engineers to incorporate "lessons learned" from the shop floor into future designs., • Manage virtual and physical inventory, organize assembly areas, and update manufacturing Bills of Materials (BOMs)., • Assist hardware procurement, evaluating vendor specs, and ensuring incoming parts meet quality standards., • Track production metrics, test results, and progress against critical program milestones.Ideal Experience & Skillsets:, • Currently pursuing a Bachelor’s, Master’s or PhD degree in Mechanical Engineering, Aerospace Engineering, Materials Science, or a related technical field., • Strong foundational understanding of engineering drawings and spatial mechanics (exposure to GD&T is a major plus)., • Hands-on project experience (e.g., Formula SAE, rocketry club, robotics club, etc.) involving mechanical or electrical hardware design, build, and test., • Direct experience with fabrication or assembly processes such as machining (hand tools, manual mill, CNC), fastened and bonded assemblies, soldering, etc., • Familiarity with CAD software (e.g., SolidWorks, NX)., • Ability to work through and solve highly multidisciplinary engineering problems, • Ability to take initiative, work independently and as part of a team, • Exceptional work ethic, with clear communication and collaboration skillsCompany Benefits:, • Salary range $21 - $25/hourRequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics. It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related tech

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Position Summary The TAIP TA Lead is a senior leadership role reporting directly to the Head of the TAIP unit within Bristol Myers Squibb's Trial Analytics, Insights, and Planning (TAIP) organizationan internal consulting team that drives clinical development excellence through data-driven insights, feasibility modelling, and strategic trial planning. As the analytics lead for the Oncology therapeutic area (TA), you will be accountable for the end-to-end analytics strategy and execution across a global portfolio of clinical trials within that TAsupporting trial-level planning, overseeing delivery performance, and leading a team of analytics professionals across multiple levels and geographies. This role will have direct reports across different levels of seniority, and the incumbent will provide day-to-day direction, coaching, and performance management. You will serve as a strategic thought partner to TA medical, clinical, and operational leadership, influencing decisions that directly impact trial timelines, cost, and quality. You will be responsible for providing hands-on support, and quality control across studies while coaching study-level analytics leads and coordinating cross-trial priorities. You will act as a sounding board and escalation point for delivery-focused team members and serve as a trusted partner to TA medical, clinical, and operational leadership. This role requires a strong foundation in both clinical trial science and applied analytics across site feasibility, enrollment modeling, scenario exploration, along with the ability to translate insights into strategies that directly impact trial timelines and operational delivery outcomes. You will play a key role in evolving TAIP capabilities, ensuring consistency across analytic methodology, fostering innovation, and driving measurable business impact. Key Responsibilities • Manage a team of analysts, including accountability for performance management, career development, and day-to-day support, • Lead the analytics strategy and execution across a global portfolio of oncology trials, • Guide, support, and review work across study-level analytics leads, acting as both coach and strategic sounding board, • Track delivery progress across trials, escalating risks and ensuring alignment with trial milestones and enterprise priorities, • Serve as a strategic advisor to TA leadership, shaping trial strategy, feasibility, and portfolio-level planning through data-driven insights, • Ensure cross-trial consistency and innovation in forecasting, feasibility modelling, performance dashboards, and protocol analytics, • Promote global collaboration, coordinating across teams to ensure effective, scalable delivery, • Lead discussions on cost implications of country mix and study design decisions at the portfolio level, • Promote study optimization analytics across trials, including evaluation of patient and site burden and competitive landscape data, • Coordinate field-based insights into TA-wide feasibility and site prioritization approaches, • Champion use of platforms, tools, and data infrastructure that support delivery excellence, • Integrate analytics with clinical supply planning where relevant to ensure delivery-readiness, • Contribute to the enterprise evolution of TAIP, defining best practices, mentoring talent, and elevating analytics standards across trials, • Applies critical thinking to analyze complex data, challenge assumptions, and generate strategic, evidence-based recommendations Qualifications & Experience Education: • Advanced degree (MBA, MSc, MPH, PharmD, PhD, or equivalent) in a relevant field preferred such as Biology, Medicine, Data Science, Computer Science, Clinical Research, etc. Experience: • 10+ years in management consulting, trial analytics, or clinical strategy is required, • Direct experience with clinical trial feasibility, enrollment forecasting, and operational analytics, • Deep experience in Oncology or related fields, • Proven ability to lead teams, engage with senior stakeholders, and operate effectively across global functions, • Demonstrated experience delivering under tight timelines and comfortable operating in a fast-paced environment Skills: • Strategic and analytical thinker with the ability to translate data-driven insights into enterprise-level decisions, • Excellent leadership, communication, and stakeholder management skills, • Direct experience with building forecasting models, dashboards, and site feasibility tools is a plus Why Join This Team? • Drive strategic clinical impact: Leverage data, analytics, and scientific expertise to inform smarter, faster development decisions that bring therapies to patients sooner, • Shape the future of analytics leadership: As member of the TAIP leadership team, you will help define the future of trial analytics at BMSsetting standards, mentoring talent, and influencing the evolution of data-driven trial planning across the enterprise, • Pathway to enterprise leadership: This role is a launchpad for broader strategic and leadership opportunities across BMS, • Collaborate globally, drive locally: Operate as part of a distributed team while anchoring analytics leadership within your therapeutic area Compensation Overview: Cambridge Crossing: $261,840 - $317,292 & Princeton - NJ - US: $233,780 - $283,291 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/. Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include: • Health Coverage: Medical, pharmacy, dental, and vision care., • Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP)., • Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support. Work-life benefits include: Paid Time Off • US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees), • Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. *Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers

Chase Auto is a leading provider of auto financing to dealers, consumers, and manufacturers, with a portfolio of more than $80 billion in assets and relationships across 75% of U.S. franchised automotive dealers. The Commercial Solutions group delivers a full suite of commercial banking solutions for auto dealers, including Treasury Services, floorplan, real estate and acquisition financing, liquidity management, and other banking solutions. In this role, you'll shape the analytics strategy that helps us deepen dealer relationships, improve sales effectiveness, and identify new commercial growth opportunities. You'll partner with senior leaders across Product, Technology, Sales, Finance, Risk, and Data to deliver scalable capabilities and actionable insights. If you enjoy building high-performing teams and translating complex data into clear business decisions, this is a high-impact leadership opportunity. As the Head of Commercial Solutions Analytics in Chase Auto Commercial Solutions, you will lead the analytics strategy that drives data-driven decision-making across dealer acquisition, relationship deepening, commercial lending opportunities, sales effectiveness, portfolio performance, and strategic growth initiatives. You'll partner closely with Commercial Solutions executives and cross-functional teams to identify opportunities, build analytical capabilities, and deliver insights that improve dealer engagement and strengthen our competitive position. You'll lead a team of data scientists and quantitative analysts, translating complex data into actionable strategies while building scalable analytics that support our modernization agenda. Job Responsibilities • Define and execute the analytics and artificial intelligence strategy for Auto Commercial Solutions, leveraging advanced analytics, machine learning, generative artificial intelligence, and automation to drive growth, efficiency, and competitive advantage, • Partner with Commercial Solutions leadership to support dealer acquisition, relationship deepening, portfolio optimization, sales effectiveness, and commercial growth initiatives, • Lead the development of analytical solutions and insights that inform dealer strategy, market opportunity assessment, customer segmentation, profitability, and competitive positioning, • Drive the adoption of artificial intelligence-enabled capabilities, modern analytics, and data products that improve decision-making and business outcomes, • Partner with Product, Technology, Data, Risk, and Finance teams to deliver scalable analytics solutions and influence strategic priorities across the business, • Establish performance measurement, experimentation, and governance frameworks to ensure analytical rigor, responsible artificial intelligence practices, and measurable business impact, • Serve as a trusted advisor to executive leadership by translating complex analytical insights into actionable business recommendations, • Lead, mentor, and develop a high-performing organization of analytics leaders, data scientists, and analysts while fostering a culture of innovation, collaboration, and continuous improvement Required Qualifications, Capabilities, and Skills • Bachelor's degree in a quantitative discipline such as data science, statistics, mathematics, economics, engineering, or computer science, • 12+ years of experience in analytics, data science, quantitative modeling, strategy, or business intelligence, including significant leadership experience, • Demonstrated experience leading and developing large analytics organizations and delivering measurable business outcomes, • Strong expertise in machine learning, predictive analytics, and advanced analytical methodologies, • Experience leveraging generative artificial intelligence and automation to solve complex business problems, • Ability to influence senior executives and lead cross-functional initiatives across business, product, technology, risk, finance, and operations teams, • Experience prioritizing and managing a broad portfolio of analytical work across multiple business domains, • Proficiency in modern analytics technologies including Python, SQL, Snowflake, Databricks, and cloud-based data platforms, • Exceptional communication skills with the ability to translate complex analytics into clear, actionable business recommendations Preferred Qualifications, Capabilities, and Skills • Master's degree or PhD in a quantitative discipline such as data science, statistics, mathematics, economics, engineering, or computer science, • Experience in automotive finance, dealer services, commercial banking, floorplan lending, or related financial services businesses, • Strong understanding of dealer operations, commercial lending products, customer segmentation, profitability analytics, and growth strategy, • Experience supporting dealer prospecting, competitive intelligence, market opportunity identification, and sales effectiveness initiatives, • Experience deploying artificial intelligence-enabled analytics solutions that improve customer engagement, relationship management, or business performance, • Familiarity with Salesforce, customer relationship management analytics, data governance, machine learning operations, model monitoring, and scalable data products, • Experience leading enterprise analytics transformations, self-service capabilities, and modernization initiatives, including product-centric delivery approaches