• Build and improve autonomous agents, focusing on reasoning, planning, and exploitation workflows • Enhance agent performance in both simulated and real-world environments • Analyze outputs from agents to identify system weaknesses and emergent behaviors • Collaborate with engineering and security teams to integrate models and agents into real-world offensive security workflows • Apply techniques from causal inference, probabilistic modeling, and optimization

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Beckman Coulter Life Sciences, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. At Beckman Coulter Life Sciences, we know time is the most critical facet in the laboratory today: time to get life-saving therapies to patients faster; reclaiming time by automating tedious manual workflows; and saving time spent addressing erroneous or complex results. We are partners in time and accelerate answers to critical questions through the power of automation. We develop innovations for scientists by scientists, with many of our 3,300+ global colleagues coming from the laboratory. It’s all part of our time-tested approach to bringing meaningful innovations at the speed of life since 1935. And we’re just beginning. Working together, let’s put our time and talents together to advance human health for tomorrow. Learn about the Danaher Business System which makes everything possible. The Field Applications Scientist is responsible for supporting and expanding our customer base in both research and diagnostic flow cytometry applications. This position reports to the Western North America Field Applications Manager and is part of the Flow Cytometry Field Applications Team. The associate will be located in Greater St. Louis and will be working remotely to cover states in the Midwest US (Primarily Missouri, Iowa, Kansas, Arkansas, Mississippi). In this role, you will have the opportunity to - Drive achievement of annual financial targets within the assigned territory in alignment with company strategy - Promote and demonstrate Beckman Coulter flow cytometry hardware, software, and consumables through effective solution demonstrations - Provide scientific and technical support for instruments, reagents, and integrated systems throughout the customer lifecycle - Lead on‑time implementation, including on‑site customer training and solution deployment - Ensure high levels of customer satisfaction through responsive support and relationship management The essential requirements of the job include: - Bachelor’s Degree in Biology or related life science discipline - Extensive flow cytometry experience (2+ years) in research and/or clinical setting (Clinical and spectral experience preferred) - Strong customer-facing and relationship‑building skills, with the ability to communicate complex technical information clearly, build trust with customers, and serve as a knowledgeable, professional point of contact throughout the customer lifecycle. - Analytical and troubleshooting capabilities, with the ability to diagnose and resolve complex technical issues, collaborate cross-functionally and clearly document issues, root cause analyses, and resolutions. - Organizational and time‑management skills, with the ability to independently manage a travel‑heavy schedule, balance multiple customers and projects, adapt to changing priorities and urgent needs, and work effectively in a remote environment. Travel, Motor Vehicle Record & Physical/Environment Requirements: - Up to 70% travel, including overnight, required annually - Travel requirements include: accounts within territory, company training and meetings, and trade shows and conferences. It would be a plus if you also possess previous experience in: - Laboratory experience relevant to the subject that the role is supporting - Spectral Flow Cytometry - Has a strong background in immunology and hematology Beckman Coulter Life Sciences, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. The annual salary range for this role is $80,000-$90,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. #LI-JP1 Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.

Role Description We are looking for a Senior Data Scientist to support the development and validation of scenario-based assessments for hiring. The role includes: - Designing evaluation logic and metrics. - Analyzing candidate and assessment data. - Partnering with product, engineering, and psychometrics teams. - Improving the reliability and scalability of the SkillCheck experience. Qualifications - 4+ years of experience in data science or quantitative analysis. - Proficiency in Python and SQL. - Experience designing evaluation logic, metrics, and analytical frameworks. - Strong experimentation mindset and experience running A/B tests. - Ability to analyze behavioral and outcome data to generate actionable insights. - Experience working cross-functionally with product and engineering teams. - Familiarity with assessment quality, validity, or psychometrics is a plus. - Strong communication skills: ability to translate data findings into product and business insights. Requirements - 4+ years of experience in data science or quantitative analysis. - Proficiency in Python and SQL. - Experience designing evaluation logic, metrics, and analytical frameworks. - Strong experimentation mindset and experience running A/B tests. - Ability to analyze behavioral and outcome data to generate actionable insights. - Experience working cross-functionally with product and engineering teams. - Familiarity with assessment quality, validity, or psychometrics is a plus. - Strong communication skills: ability to translate data findings into product and business insights. Benefits - Salary 6,500–8,500 USD / month gross. - Full-time remote contract with a flexible schedule. - A close-knit, international team of thoughtful and driven professionals. - All software licenses and remote work tools you need to be successful in a remote working environment (Slack, Miro, Notion, Zoom, etc). - Room for growth as we scale our portfolio of educational products and formats. - Complete autonomy over B2B product vision and roadmap. - Direct collaboration with cutting-edge AI infrastructure technology.

ROLE SUMMARY The Data Scientist role will be part of the Supply Planning Data Intelligence organization and will be responsible for building, training, deploying, and maintaining AI/ML models and automation tools for supply chain master data. Acting as part of the "tech engine" of the Intelligent Data Factory initiative, this role develops advanced analytics solutions-such as optimization algorithms, predictive models, generative AI tools, and intelligent data agents-to drive autonomous and self-healing data pipelines. The Data Scientist works globally across multiple functions to enable a data-driven and automated supply chain, progressing through a phased delivery model that starts with foundational quick wins and evolves into a mature ecosystem of self-learning, autonomous data agents. ROLE RESPONSIBILITIES - Develop Optimization & Simulation Algorithms: Design, build, and refine algorithms for supply chain planning optimization and scenario simulation. This includes creating AI models that optimize planning parameters (e.g., safety stock levels, lot sizes) and simulating planning decisions under various scenarios. Collaborate closely with Data Owners and supply chain subject matter experts to ensure that real-world constraints and business rules are accurately modeled. - Build Predictive Machine Learning Models: Develop and deploy predictive models using supervised and unsupervised machine learning techniques to improve master data-driven decision making. Examples include predicting key master data inputs (such as transit lead times or shelf-life constraints), implementing anomaly detection systems for data quality, and clustering techniques for pattern recognition. Maintain end-to-end data pipelines, ensuring models are regularly retrained and validated with clean, well-labeled data. - Implement Generative AI & NLP Solutions: Create and integrate generative AI and natural language processing solutions to automate and enhance data management processes. Use large language models and related frameworks to auto-generate documentation or code (for data pipelines), suggest or populate master data values, and enable natural language interfaces (chatbot or Q&A tools) that allow users to query and interact with data assets more intuitively. - Develop Intelligent Data Agents & Automation Bots: Design and deploy AI agents and robotic process automation (RPA) bots to handle repetitive master data tasks and proactively resolve data issues. Build bots that can automatically create, validate, or cleanse master data records. Engineer autonomous AI agents that monitor real-time data signals and trigger actions or alerts (for example, identifying inconsistencies and initiating corrections) to keep master data accurate and up-to-date. Integrate these agents with supply chain planning systems (e.g., Kinaxis) to close the feedback loop and ensure that planning adjustments are executed based on the latest data insights. - End-to-End Model Deployment & Maintenance: Own the full lifecycle of data science solutions from development to deployment and ongoing maintenance. Ensure that all AI/ML solutions are deployed in the appropriate production environment and operate with high reliability and performance. Monitor model and system performance, troubleshoot issues, and implement improvements or retraining as needed to maintain accuracy and efficiency. Establish self-healing mechanisms in data pipelines, so that the system can automatically address or alert on anomalies without manual intervention. - Drive Innovation & Phased AI Enablement: Contribute to the continuous innovation of the Intelligent Data Factory by staying abreast of cutting-edge AI techniques and identifying opportunities to enhance automation. Support a phased delivery approach to AI enablement in master data management: in Phase 1, focus on delivering foundational machine learning models and basic RPA bots that yield quick wins; in Phase 2, help implement more advanced optimization algorithms and generative AI "copilots" to significantly increase process autonomy; in Phase 3, assist in cultivating a fully mature ecosystem of self-learning, autonomous data agents that require minimal human intervention. Through each phase, ensure learnings are captured and fed back into the development cycle to drive continuous improvement. This role is the main lead to hand over validated and tested solutions into production with the Digital/IT team, becoming the business owner of the deployed solutions. QUALIFICATIONS - Education & Experience: Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics or a related field is required. An advanced degree (Master's or Ph.D.) in a relevant discipline (e.g., OperationsResearch,Machine Learning) is highly preferred. Minimum of 5+ years of hands-on experience in data science, machine learning, or AI development, with a track record of deploying models or algorithms into production environments. Experience within supply chain, operations, or a similar domain is a plus, especially if it includes exposure to planning systems or master data management. - Technical Skills: Proficiency in programming and data analysis using languages and tools such as Python (including libraries like scikit-learn, pandas, TensorFlow/PyTorch, etc.) is required. Hands-on experience with agentic AI platforms, preferable Microsoft Azure AI Foundry and RPA tools to build automated workflows (UiPath, Power Automate). Demonstrated ability to develop machine learning models (regression, classification, clustering) and implement predictive analytics solutions. Experience with optimization techniques or tools (e.g., linear programming, constraint solving, Gurobi/CPLEX) for operations research problems is highly desired. Knowledge of NLP and generative AI technologies (working with large language models, Natural Language Understanding, etc.) is a strong plus. Comfortable working with big data technologies and cloud-based data platforms; able to query and manipulate data in SQL and utilize cloud services for model deployment. - Analytical & Problem-Solving Abilities: Exceptional analytical thinking and problem-solving skills, with the ability to tackle complex problems that may involve incomplete or imperfect data. Adept at mathematical reasoning and able to apply statistical analysis to validate model performance and interpret outcomes. Capable of evaluating model limitations and improving them through iterative experimentation. - Leadership Qualifications: The successful candidate will operate as a trusted leader within the Global Supply Chain organization, driving data‑driven solutions in environments where deep technical expertise is not always present. This role requires the ability to translate complex data concepts into clear, actionable insights, effectively engage business stakeholders, and guide teams through ambiguity. The leader will be responsible for capturing and understanding end‑to‑end business constraints, balancing analytical rigor with practical execution, and identifying solutions that are scalable and sustainable given real‑world limitations in data models, systems, and organizational readiness. Strong change leadership capabilities are essential, including influencing adoption, managing stakeholder expectations, and ensuring solutions are implemented in a way that delivers measurable business impact while respecting governance, operational, and change management considerations. - Innovation & Learning Mindset: Demonstrated curiosity and drive to stay up-to-date with the latest advancements in AI/ML, automation, and data science. Experience in an environment that encourages experimentation and innovation is desirable. Willingness to continuously learn and rapidly adapt new tools or methodologies. A proactive attitude towards identifying opportunities for improvement and proposing creative solutions. - Organizational & Project Skills: Ability to manage autonomously multiple initiatives and deadlines concurrently. Experience with project management coordinating diverse cross functional global teams using Agile development practices in data science projects. Comfortable with a fast-paced setting and capable of adjusting priorities based on changing business needs. Possesses a strong sense of ownership over deliverables, ensuring quality and reliability of the solutions provided. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Standard work schedule with flexibility to attend occasional meetings outside of normal business hours due to international collaboration needs. Minimal travel (up to 10%) may be required for team workshops, training sessions, or cross-site collaboration, depending on project needs. #LI-PFE Purpose Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. Digital Transformation Strategy One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation! Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms - allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees. Disability Inclusion Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here! Se valorarán las candidaturas que puedan aportar certificados oficiales de discapacidad. Information & Business Tech