Title: Scientist, Investigations Team, S12 MSAT Location: Summit West - NJ - US Full time Hybrid Job Description: 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. Read more: careers.bms.com/working-with-us. At Bristol Myers Squibb we are reimagining the future of cell therapy. With our bold ambition, backed by a best-in-the-industry team and long-term commitment, we are leading the way to unlock the full promise of cell therapy as we strive to put more patients on the path to a cure. If you are ready to challenge yourself, accelerate your career, and give new hope to patients, there's no better place than here at BMS with our Cell Therapy team. The Scientist/Investigator is responsible for leading manufacturing and QC investigation reports in support of S12 CAR T operations. This includes execution of thorough root cause investigations, interviewing personnel, hypothesis testing and interpretation of results, authoring investigation reports, identifying corrective and preventive actions (CAPA), and troubleshooting complex problems. The successful incumbent must interface closely with different functional organizations and management, including Quality Assurance teams. Shift Available: - Monday - Friday, Hybrid Day Shift, 9 a.m. - 5 p.m. Responsibilities: - Conduct thorough investigations (OOS, OOT, Environmental Monitoring, deviations, etc.) utilizing root cause analysis tools. - Lead investigations and cross functional investigation teams, and close reports in a timely manner - Perform GEMBA walks with stakeholders to better understand process steps, and evaluate Root Cause Analysis. - Work with functional teams to propose effective CAPAs, develop CAPA plans and assure CAPA effectiveness. - Assess potential impact and risk to product or process associated changes may have upon change implementation and develop an appropriate mitigation strategy. - May Initiate change control documentation - Identify functional area SMEs to perform impact assessments as part of the change management process. - Ensure all investigations are completed in a timely manner. Notify stakeholders of any delays in a timely manner. - Provide technical support for manufacturing investigations / CAPAs / change controls as needed. - Support deviation investigation defense during audits and site inspections for QC compliance related inquiries. - Handle complex issues and solve problems with minimal guidance. - Provide training to new investigations team members - Serve as author or technical reviewer of departmental procedures as appropriate. - Support manufacturing and Quality Control testing of CAR- T products as needed. - Employ lean manufacturing / six sigma principles to continuously improve products, processes and systems. - Continuously support S12, living the "patients first" mission and fostering a "Right First Time" mindset. Knowledge & Skills: - Working experience of deviation investigations utilizing root cause analysis tools. - Working experience in the CAPA process and ability to identify and verify effectiveness. - Technical writing skills and ability to collaborate effectively in cross functional teams. - Proven ability to accurately and completely understand, follow, interpret, apply Global Regulatory and cGMP requirements. - Ability to support health authority inspections. - Knowledge of data trending and tracking, including use of statistical analysis software a plus. - Demonstrate advanced problem-solving ability / mentality, technical adeptness and logical thinking. - Ability to set priorities, manage timelines and effectively react/manage changing priorities. - Ability to work with management (global and site) and support corporate and departmental goals. - Ability to communicate honestly, transparently and effectively with peers, department management and cross functional peers. - Ability to utilize electronic Quality systems such as eQRMs (Enterprise Quality and Regulatory Management system). - Hands on experience preferred with CAR-T or biopharmaceutical manufacturing and Quality Control. - Ability to train new team members on the investigation process Minimum Requirements: - Requires a Bachelor's Degree in science or engineering, preferably in Biochemistry, life sciences or related engineering discipline (advanced degree preferred). An equivalent combination of education and experience may substitute. - Minimum 3 years of cGMP environment. - 1+ years of hands-on investigation experience. - 1+ years of hands-on root-cause analysis experience. #LI-Hybrid If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Summit West - NJ - US: $82,420 - $99,879 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 and other service providers are not eligible to participate in the program. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1601728 : Scientist, Investigations Team, S12 MSAT

Role Description The CenterWell Centralized Data & Analytics team is seeking a highly hands-on Data Scientist 2 to lead the design, development, and scaling of predictive models, LLM- and domain-specific SLM-based solutions, and agentic AI systems for Home Health applications. This role operates at the intersection of applied AI innovation and real-world production impact, with significant ownership in building production-grade AI systems trained on clinical data. You will combine advanced analytics and machine learning with modern AI techniques, along with strong MLOps, cloud, and Responsible AI practices, to deliver solutions that drive measurable business and patient outcomes. Key Responsibilities - AI Systems & Intelligent Modeling - Own the design and development of end-to-end intelligent systems combining predictive modeling, LLMs, and domain-specific SLMs. - Design and deploy predictive models (e.g., classification, regression, ranking, time series forecasting, anomaly detection, churn and risk modeling, and recommender systems), and integrate these signals into LLM- and SLM-based systems (e.g., RAG pipelines, decision engines). - Build and fine-tune proprietary SLMs trained on clinical notes and healthcare corpora. - Develop and deploy LLM-based and agentic AI systems for reasoning, automation, and decision support. - Engineer and optimize models across structured and unstructured data (tabular, text, and image). - Clinical NLP, Multimodal AI & Innovation - Develop advanced clinical NLP solutions using embeddings, semantic search, and domain-specific models (e.g., ClinicalBERT, PubMedBERT). - Extract insights from large-scale unstructured healthcare data, including clinical text corpora. - Build and extend multimodal AI capabilities, including computer vision models (e.g., image classification) as complementary systems. - Prototype and explore emerging approaches in LLMs, SLMs, and agentic AI to drive continuous innovation. - Translate AI outputs into actionable clinical and business insights. - Delivery, MLOps & Impact - Lead end-to-end delivery, from rapid prototyping and MVP development to scalable production systems. - Partner with engineering, product, and business stakeholders to align AI solutions with strategic goals. - Deploy and monitor ML/LLM/SLM systems, including model performance, drift, bias, and impact. - Implement MLOps best practices, including CI/CD, model lifecycle management, and scalable cloud deployment (Azure/AWS). - Drive Responsible AI practices, including explainability, governance, and compliance in healthcare environments. - Growth & Impact - Opportunity to shape the direction of applied AI systems in a rapidly evolving healthcare domain. - Exposure to cutting-edge techniques across LLMs, SLMs, and agentic AI. - Clear path to expanded ownership, technical leadership, and strategic influence. Qualifications - Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience. - 4+ years of experience in data science, machine learning, or applied AI, with strong foundations in statistical modeling. - Proven experience developing and deploying LLM and/or SLM-based systems in real-world environments. - Hands-on expertise fine-tuning domain-specific models (e.g., LoRA, QLoRA, RLHF, DAPT, DPO). - Strong experience in predictive modeling, including feature engineering, validation, and production deployment. - Experience working with structured and unstructured data, particularly NLP and text-based systems domain-specific models (e.g., ClinicalBERT, PubMedBERT). - Proficiency with modern AI/ML ecosystems, including Hugging Face, PyTorch/TensorFlow, Databricks, and MLOps practices. - Ability to independently own and drive complex AI solutions from concept to production. Preferred Qualifications - Master’s degree in a quantitative or technical field. - Experience working with clinical or healthcare data. - Exposure to multimodal AI systems (text + image). - Experience developing domain-specific or proprietary language models. Location & Work Style - This role is open to a remote work style in the US. - Eastern or Central time zone is preferred. - Ability to travel for on-site team meetings (occasionally) on East Coast. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $97,900 - $133,500 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits - Humana, Inc. and its affiliated subsidiaries offer competitive benefits that support whole-person well-being. - Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family. - Among our benefits, Humana provides: - Medical, dental and vision benefits. - 401(k) retirement savings plan. - Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave). - Short-term and long-term disability. - Life insurance and many other opportunities.

Role Description Gainwell Technologies is seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, including Generative AI (GenAI), across our healthcare technology platforms. This role involves building and optimizing AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. - AI Model Development: Design and build AI Solutions that use machine learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. - End-to-End AI Solution Deployment: Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. - Data Engineering & Processing: Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. - System Integration: Implement and optimize AI solutions within Gainwell’s existing technology stack, collaborating with engineering teams to ensure seamless integration. - Performance Optimization: Continuously monitor, refine, and optimize AI solutions for accuracy, efficiency, and speed, leveraging MLOps best practices. - AI Research & Innovation: Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. - Compliance & Security: Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. - Automation & Workflow Enhancement: Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. Qualifications - Master’s or Ph.D in Computer Science, AI, Data Science, or a related field. - 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. - Hands-on expertise in production operations involving machine learning, deep learning and GenAI. - Strong programming skills in Python, AI Agent Frameworks (Langchain, Crew.ai), TensorFlow, PyTorch, and other AI frameworks. - Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization, and inference efficiency. - Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. - Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). - Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. - Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation. Benefits - The pay range for this position is $117,800.00 - $168,300.00 per year. - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - Leadership and technical development academies to help build your skills and capabilities.

• Lead the design, development, and deployment of advanced machine learning, forecasting, optimization, and generative AI solutions • Partner closely with Finance leadership and other key business stakeholders • Build machine learning systems from the ground up and design scalable data science infrastructure • Strategically determine the most appropriate modeling approach for each problem • Deliver cutting-edge forecasting, anomaly detection, and optimization expertise • Transform model outputs into actionable, executive-ready business recommendations • Champion and execute long-term strategic projects • Collaborate closely with engineering and product teams to seamlessly deploy models into production • Mentor data scientists on the team