• Join an amazing team that is consistently recognized for our achievements and culture • Own and lead the strategy, governance, and continual improvement of automated discovery capabilities • Ensure the CMDB remains accurate, complete, and reliable • Drive cross-functional collaboration to achieve comprehensive visibility into the IT environment • Establish standards, oversight, and optimization practices that preserve the integrity and value of CMDB data

What Sterility Assurance brings to Cardinal Health Quality develops and implements quality policies, procedures, and processes to ensure products and services comply with regulatory standards and specifications. Sterility Assurance performs specialized technical and scientific laboratory testing to ensure the compliance and safety of the company's products. This job family develops and executes precise testing procedures and reports on results in accordance to internal and external requirements. This is fully remote position within the United States. Job Summary Under the general direction of the Director, Sterility Assurance, this role provides technical expertise and manages special projects in the areas of sterilization, sterility assurance, microbiology and analytical chemistry laboratory testing, controlled manufacturing and product evaluations to ensure the sterility and regulatory compliance of products in Cardinal Health’s Medical segment. As a subject matter expert in microbiology, sterilization, cleanroom technology and relevant regulatory requirements, this role works on cross-functional teams to develop actionable insights for ensuring quality, cost savings, operational improvements and innovation especially focused on Ethylene Oxide and Radiation Sterilization processes. Responsibilities - Demonstrates advanced understanding of quality philosophies, principles, systems, methods, tools, and standards. - Develops, and implements quality programs, including tracking, analyzing, reporting and problem solving. - Responsible for project management, coordination of activities, and SME technical support associated with controlled manufacturing, sterilization process R&D, development, optimization, and validation, as assigned. - Perform sterilization process development, chamber qualification/validation, equivalency, parametric release statistical evaluations/process maintenance and implementation activities across internal and external contract sterilizers according to ANSI/AAMI/ISO requirements. - Perform Advanced Technical Writing including authoring of study protocols/final reports and data analysis/ verification. - Responsible for project management, SME support, and coordination of activities associated with special projects (complaint investigation, regulatory compliance, cost savings, manufacturing operations, transformation/changes, etc.), and cross functional teams as assigned. - Responsible for the supplier management of contract sterilizers and support laboratories. - Responsible for advanced sterilization related nonconformance, deviation, and CAPA investigations. Perform SME technical evaluations of abnormalities in sterilization processing and batch records for product release and lead special studies in support of product release. - Authoring and maintenance of procedure, policy, and form updates within quality system. Evaluation of procedures for compliance and alignment to industry standards, performance of gap assessments, and driving of mitigation solutions and best practices. - Support and management of Sterility Assurance programs such as Environmental Monitoring, Bioburden Monitoring, Product Adoption, and Sterilization Metrics, as assigned. - Provides Sterility Assurance SME support to medical device manufacturing sites, sterilization sites, laboratories, procurement, cross functional departments and project teams. - Support and perform supplier audits including contract sterilizers, manufacturers, and microbiological and analytical laboratories. - Support regulatory compliance audits as SME. - Demonstrates understanding of the audit process including types of audits, planning, preparation, execution, reporting results and follow-up. - Plans, controls, and assures product and process quality in accordance with quality principles, which include planning processes, design control, material control, acceptance sampling and measurement systems. - Demonstrates knowledge of reliability, maintainability, and risk management, including key terms and definitions, modeling, systems design, assessment tools and reporting. - Applies problem solving and quality improvement tools and techniques, including preventive and corrective actions and how to overcome barriers to quality improvements. - Acquires and analyzes data using appropriate standard quantitative methods to facilitate process analysis and improvements. - Trains, mentors, and develops less experienced colleagues within Sterility Assurance. Qualifications - Bachelor’s degree in microbiology, biology, chemistry, biochemistry, physics, or engineering preferred, or other related scientific field or equivalent work experience preferred. - 4+ years professional experience within an FDA regulated industry, medical devices preferred. - 4+ years working experience in a quality or regulatory role preferred. - 4+ years working experience in a sterilization or sterility assurance engineering related role preferred. - Microbiology lab or clinical background experience is preferred. - Proficiency in MS Office applications and with strong project management and communication skills including scientific technical writing, preferred. - ISO 11135 (Ethylene Oxide) and ISO 11137 and 13004 (Radiation) experience preferred. What is expected of you and others at this level - Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects. - May contribute to the development of policies and procedures. - Works on complex projects of large scope. - Develops technical solutions to a wide range of difficult problems. - Solutions are innovative and consistent with organization objectives. - Completes work independently receives general guidance on new projects. - Work reviewed for purpose of meeting objectives. - May act as a mentor to less experienced colleagues. Anticipated salary range: $80,900 - $127,050 Bonus eligible: No Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. - Medical, dental and vision coverage - Paid time off plan - Health savings account (HSA) - 401k savings plan - Access to wages before pay day with myFlexPay - Flexible spending accounts (FSAs) - Short- and long-term disability coverage - Work-Life resources - Paid parental leave - Healthy lifestyle programs Application window anticipated to close: 04/03/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here

WISEcode is a food tech AI company building the world’s most comprehensive food data platform. We map 15,000 data points per product to power a scientific logic engine that determines how food is understood. At the center of this system is the Code Library—a growing set of computational models that translate ingredients and nutrients into structured intelligence. As an Applied Computational Nutrition Scientist, you are a model builder. You will use our proprietary Code Builder to explore structures, refine assumptions, and shape the behavior of the system that serves as the "Bloomberg for Food." This role as Applied Computational Nutrition Scientist represents a fundamental shift in food science: moving away from linear hand-offs between scientists and engineers toward an interactive, rapid modeling loop. What You’ll Do - Scientific Modeling: Design, build, and iterate on nutrition codes within our AI-based platform. You will manage the full "interactive modeling loop": Hypothesis → Build → Evaluate → Refine. - Logic Architecture: Transition raw food data into structured, interpretable intelligence by exploring model structures, identifying edge cases, and refining scoring assumptions. - Library Governance: Own the integrity of the Code Library as a strategic asset. Ensure every model is architected for cross-product consistency and serves as the "ground truth" for our AI systems. - Iterative Experimentation: Test model variations and interpret AI-generated structures to improve accuracy and real-world relevance. - Partner Ecosystems: Lead collaborative code-building sessions with external partners, guiding them through the creation of shared modeling frameworks. - Product Translation: Partner with the Product team to ensure that the scientific logic of our "Intelligence Layer" is documented for simplified, high-impact consumer narratives. What We’re Looking For Required - Domain Expertise: BS or MS in Nutrition, Food Science, or a related field with deep ingredient and food processing knowledge. - Technical Experience: 2–3 years of experience in a technical, analytical, or data-driven role. - Computational Modeling: Strong comfort with math, structured logic, and quantitative decision rules (thresholds, scoring systems, rule-based logic). - Platform Fluency: Ability to work within a proprietary computational system, interpreting outputs and refining system behavior. - Project Coordination: Proven experience supporting or coordinating projects: staying organized, tracking details, and delivering on time in a team setting. - Facilitation & Communication: Strong organization and facilitation skills used to support team projects and help others succeed. You are a collaborative, proactive, and highly reliable communicator. - Mindset: A natural explorer who enjoys identifying edge cases and refining scientific assumptions through rapid iteration. Successful Profile - Model Builder: You thrive on exploring structures and shaping system behavior rather than just following predefined instructions. - From Lab to Field: You take complex concepts out of the lab and into the field, ensuring rigorous nutritional math translates into functional utility. - The Translator: You have a product-centric mindset, intuitively seeing how a scoring system impacts a B2B dashboard or consumer app. - Operational Excellence: You maintain the highest standards of data integrity while moving with the speed of an interactive modeling environment.

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Job Description PhD Research Intern — Applied Reinforcement Learning Centific AI Research Role Summary Centific AI Research seeks a PhD Research Intern to design and evaluate reinforcement learning (RL) systems for agentic AI workflows. You will develop RL environments, reward models, and post-training pipelines for LLM-based agents, translating research into practical enterprise solutions. Scope of Work - End-to-end RL pipelines for agentic systems (simulation → training → evaluation) - Alignment of LLM-based agents using RLHF, DPO, PPO, and emerging methods - Design of reward functions, verifiers, and evaluation frameworks - Simulation environments (digital twins) for enterprise workflows - Scalable training and inference for RL-based systems Example Projects - Build a custom RL environment simulating a real-world enterprise workflow and train an agent using PPO or GRPO - Develop a reward modeling pipeline from human feedback and evaluate alignment improvements - Create an evaluation harness measuring reasoning, task success, and policy safety - Prototype an agentic system with tool use and multi-step reasoning, integrated with RL training - Document experiments, ablations, and findings for research and productionization Minimum Qualifications - PhD candidate in CS, ML, or related field with research in reinforcement learning or agentic AI - Strong Python and PyTorch skills with GPU-based training experience - Solid understanding of RL fundamentals (MDPs, policy gradients, value methods) - Experience with LLMs and post-training techniques (RLHF, DPO, PPO, etc.) - Strong experimentation practices (ablation, reproducibility, clear reporting) Preferred Qualifications - Experience with RL environments (Gymnasium, RLlib, Stable Baselines) - Research in offline RL, model-based RL, or hierarchical RL - Publications at top ML conferences (NeurIPS, ICML, ICLR, ACL) - Experience with simulation, synthetic data, or multi-agent systems - Distributed training and large-scale experimentation Tech Stack - PyTorch, CUDA; RL libraries (Gymnasium, RLlib, Stable Baselines) - LLM frameworks and post-training tools (TRL, custom RLHF pipelines) - Experiment tracking (Weights & Biases) - APIs/services (FastAPI, gRPC); optimization (ONNX, TensorRT) Logistics Location: Palo Alto, CA (Preferred), Redmond, WA (Preferred) or Remote Duration: 3–6 months What We Offer - Competitive stipend and real-world impactful projects - Mentorship from researchers and engineers - Access to modern GPU infrastructure - Opportunities to publish and present research Centific AI Research is an Equal Opportunity Employer. We celebrate diversity and are committed to an inclusive environment. Rate: $35-$45 Hourly Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.