Title: Scientist, Magnetic Resonance Imaging Location: Princeton United States 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. Position Summary Imaging is part of the Research organization in BMS and leads internal and external imaging development and deployment activities to support multiple disease areas of interest including neuroscience, immunology and oncology. The team will integrate scientific insights to provide solutions that will help to enable decision-making for drug development programs. The Scientist will be part of a team of imaging scientists engaged in novel preclinical imaging for drug development. The successful candidate will be responsible for the MRI strategy, study design, and execution, as well as data analysis, interpretation, and data presentation. He/she will collaborate with biologists, chemists, clinicians, regulatory, statisticians, and other scientists across all therapeutic areas. The candidate will participate as a member of the discovery and/or development team. Key Responsibilities: - Ensure daily operation of the MRI scanners and quality of MRI studies in animals - Implement and develop state of the art MRI acquisition protocols/studies - Establish complex image analysis and image processing pipelines - Manage projects and studies in various areas (e.g. oncology, neuroscience, cardiovascular) - Applies scientific and / or technical skills and functional knowledge to conduct experiments / research / studies in assigned area - May adapt standard methods and techniques by applying breadth of knowledge and prior work experience - Makes decisions that impact entire work group / project team - May contribute to initiatives related to continuous improvement or development of new approaches / technologies - Makes presentations in small, multidisciplinary meetings, logically presenting information to convey clear, key messages - May represent department or function on program / project team or sub-team Qualifications & Experience: - Bachelor's Degree with 5+ years of academic and / or industry experience, or Master's Degree with 3+ years of academic and / or industry experience, or Ph.D. or equivalent advanced degree in the Life Sciences, no additional experience necessary - Extensive experience in Magnetic Resonance Imaging and imaging analysis - Proven track record of hands-on experience in animal imaging - Requires thorough knowledge of varied aspects or a single specialized aspect of own discipline (MRI) and developed knowledge of other related disciplines (other imaging modalities or multi-modality) - Is proficient in scientific / technical writing (e.g., regulatory documents, protocols) - Ability to work as a member of a multi-disciplinary team - Demonstrated problem-solving skills, good communication skills, and flexibility to succeed in a dynamic and changing environment is necessary - Sound knowledge in chemistry and biology for developing successful imaging studies and analysis for drug discovery programs is preferable - Python, Matlab and preferably Bruker Paravision programing experience #LI-Onsite 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: Princeton - NJ - US: $111,640 - $135,280 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. 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. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. 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. R1602965 : Scientist, Magnetic Resonance Imaging

Title: Analytical Science and Technology Senior Scientist Location: Boston United States Job Description: Job Description General Summary: Vertex is seeking a highly motivated and experienced Senior Scientist to join the Analytical Science and Technology team. In this role, you will work closely with contract manufacturing organizations and a diverse, cross-functional group of scientists at Vertex to solve complex challenges encountered during late-stage development and commercial manufacturing of small-molecule drug products. The ideal candidate will have a strong scientific foundation and a proven track record of developing, implementing, and troubleshooting analytical methods within the pharmaceutical industry. This individual should thrive in a fast-paced environment and demonstrate the ability to collaborate effectively across cross-functional teams, communicate clearly, and drive solutions to support product development and commercial success. Key Duties and Responsibilities: - Designs and performs elaborate and technically challenging analytical experiments in compliance with applicable regulations and SOPs - Lead analytical method transfer activities for small molecule drug product to CMOs or between internal groups - Support method validation or co-validation activities for late-phase development and commercial programs - Prepare, review, and approve technical documentation for commercial products, including analytical methods, SOPs, transfer protocols and reports, laboratory records, and technical reports. - Serve as the primary analytical lead for external CMOs, overseeing analytical service execution, driving investigations, and partnering on process-related issue resolution - Analyze and trend commercial data to support continued process verification, identify emerging issues, and inform data-driven decisions. - Support product lifecycle management activities and implement continuous process improvement through commercial change control Knowledge and Skills: - Strong practical analytical chemistry skills across a range of general analytical techniques that must include (U)HPLC and GC - Proven experience in analytical development or technical operations, supporting late-stage development, commercialization and post-approval activities - Demonstrated expertise in problem-solving and root cause analysis for analytical related issues - Strong technical knowledge of chromatographic methods, including HPLC, GC, and other analytical techniques commonly used in pharmaceutical analysis - Experience applying compendial methods such as KF, elemental impurity testing, spectroscopic identification) - Solid understanding of cGMP regulations, ICH guidelines and CMC regulatory expectations in a pharmaceutical setting - Proficiency in data analysis, trending and visualization tools to support decision-making and process monitoring - Strong communication, collaboration and technical writing skills - Proven ability to work successfully in a fast-paced, matrixed environment while also operating independently with minimal supervision - Strong project management skills and the flexibility to adjust to shifting project priorities and business needs Education and Experience: - Bachelor's, Master's, or PhD in Chemistry, Chemical Engineering, Pharmaceutical Chemistry or other natural science - Typically requires the following, or the equivalent combination of education and experience: PhD and 3+ years, or Master's and 5+ years, or Bachelor's and 8+ years. Pay Range: $122,400 - $183,600 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: - Hybrid: work remotely up to two days per week; or select - On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. #LI-Hybrid Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

• Assist in analyzing business processes • Support development of business requirements • Document analysis processes • Perform basic data analysis • Collaborate with senior analysts.

• Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. • Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. • Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. • Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. • Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. • Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. • Deploying models into Solventum’s cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. • Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum’s deep learning initiatives.