• Train, evaluate, and iterate on ML models for customer feedback tasks, contributing to our custom fine-tuning pipelines and running experiments with rigour and clear documentation. • Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation — with support and guidance from senior team members. • Contribute to evaluation frameworks: help build test sets, define metrics, and assess model quality across classification, extraction, and generative tasks. • Work on semantic search and retrieval, developing a strong working understanding of embedding-based approaches and the methods that go beyond them. • Write clean, well-tested code and collaborate with Engineering on model integration, data pipelines, and monitoring. • Work with the wider Data Science team to translate business and product requirements into practical ML experiments and solutions. • Stay close to relevant research and bring useful ideas from the literature into team discussions and experiments.

Role Description John Snow Labs is seeking a highly skilled and motivated Data Analyst to contribute to transformative initiatives within the healthcare industry. As a leading healthcare organization, we are committed to leveraging data to improve patient outcomes and streamline healthcare operations. We are seeking a skilled Data Analyst with expertise in converting Electronic Health Records (EHR) to the OMOP Common Data Model (CDM), particularly using Epic EHR systems. As a Data Analyst, you will be responsible for the transformation of healthcare data from Epic EHR into the OMOP CDM format. This role requires keen attention to detail and a strong understanding of healthcare data standards to ensure data integrity and interoperability. - Perform data extraction, transformation, and loading (ETL) of healthcare records from Epic EHR to OMOP CDM. - Collaborate with clinical informaticists and data engineers to ensure accurate mapping and conversion of data. - Validate and test data conversions to maintain high levels of accuracy and consistency. - Troubleshoot and resolve data integration issues as they arise. - Document processes and create comprehensive reports on conversion progress and outcomes. - Hands-on experience with OMOP, FHIR, clinical terminologies, and understanding of the patient journey. - A strong background in healthcare-related fields such as medicine, pharma, bioinformatics, or biostatistics is highly beneficial. - Experience with John Snow Labs’ technology stack, such as Spark NLP or the medical language models, is a plus. Qualifications - A PhD in a relevant field is preferred but not required if exceptional experience is demonstrated. - Proven experience in EHR data management, specifically with Epic EHR systems. - Strong understanding of the OMOP Common Data Model and healthcare data standards. - Proficiency in SQL and experience with data transformation tools. - Excellent analytical and problem-solving skills. - Strong attention to detail and ability to work independently or as part of a team. Requirements - Experience with ETL tools and processes. - Familiarity with regulatory and compliance standards in healthcare data management. - Strong communication skills, both written and verbal. Benefits - A chance to work on cutting-edge problems in healthcare and life sciences, contributing to meaningful projects that impact patient outcomes. - Long-term freelancing contracts with a commitment of at least 30 hours per week. We are seeking individuals, not agencies or teams. - The opportunity to grow your skills and knowledge, working with a team of big data and data science experts in a supportive, collaborative environment.

Role Description We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data Science team. This is an exciting opportunity for an experienced ML practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products. You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes. What You'll Do - Design, build, and deploy scalable machine learning and AI solutions in production environments. - Develop NLP and transformer-based systems for enterprise-scale applications. - Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain. - Own the end-to-end ML lifecycle, including: - Data exploration - Feature engineering - Model development - Evaluation - Deployment - Monitoring - Develop ranking, recommendation, classification, prediction, and optimization models. - Partner closely with Product, Engineering, and Analytics teams to solve complex business problems. - Improve performance, scalability, reliability, and observability of production ML systems. - Contribute to AI platform architecture and technical strategy. - Mentor engineers and help elevate engineering excellence across the organization. Qualifications - 8+ years of experience building and deploying machine learning solutions in production. - Strong foundation in Machine Learning, Statistics, and Applied Data Science. - Experience with: - Supervised & Unsupervised Learning - Recommendation Systems - Ranking Models - Predictive Modeling - Deep expertise in: - NLP - Transformers - Embeddings - Encoder-Decoder Architectures - Retrieval-based Systems - Hands-on experience with GenAI ecosystems including: - LangGraph - LangChain - Amazon Bedrock - Strong Python programming skills. - Experience building distributed ML systems and pipelines using AWS and Databricks. - Strong understanding of feature engineering, model evaluation, and MLOps. - Ability to independently solve ambiguous problems and drive execution. - Strong product mindset with focus on customer impact and business outcomes. Requirements - Experience building Agentic AI and Multi-Agent Systems. - Experience with: - RAG Architectures - Vector Databases - Prompt Engineering - Hands-on experience with PyTorch and/or TensorFlow. - Prior experience in B2B SaaS or customer-facing AI products. Benefits - Health coverage - Paid parental leave - Generous paid time-off and holidays - Quarterly self-care days off - Stock options - Support for equipment and connectivity - Access to LinkedIn Learning platform - Quarterly wellness education sessions - Celebration of employee backgrounds through ERG-hosted events

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