Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description The Clinical Research Group (CRG) of Thermo Fisher Scientific delivers industry-leading clinical trial services to pharmaceutical, biotechnology, and medical device organizations. CRG Digital is an enterprise-wide digital function dedicated to accelerating CRG’s transformation into the most digitally enabled CRO in the industry. CRG Digital leads the strategy, governance, development, and lifecycle management of digital, data, and AI products across the organization. Our mission is to power clinical development with modern digital capabilities, improving operational efficiency, enhancing customer experience, unlocking insights from data, and enabling next-generation clinical innovation. Position Summary We are seeking a highly motivated AI Engineer to help design, build, deploy, and optimize AI solutions that advance CRG’s digital strategy. In this role, you will design, implement, and optimize AI models that support data analysis, automation, and innovation within clinical research and development operations. You’ll collaborate with data scientists, software engineers, and domain experts to translate business needs into scalable, intelligent solutions. The ideal candidate will be proficient in applying statistics, programming, data modeling, simulation, and advanced mathematics to business questions, with a specific focus on Generative AI. Proven experience with exploratory data analysis techniques, machine learning algorithms (including generative models), model validation techniques, and data visualization techniques. Strong knowledge in technical areas such as SQL, Python, Spark, Jupyter, and associated packages and libraries, specifically tailored to Generative AI. This is a remote position in North Carolina. Responsibilities: AI and Machine Learning Development - Design, develop, and deploy machine learning and generative AI models to support CRG Digital priorities including predictive analytics, text/NLP solutions, automation, and intelligent decision support. - Apply statistics, programming, data modeling, simulation, and advanced mathematics to business problems. - Evaluate and optimize model performance using appropriate validation metrics and techniques. - Build reusable model pipelines, APIs, and components for scalable AI product deployment. Data Engineering and Data Management - Preprocess, clean, transform, and integrate structured and unstructured datasets from clinical and operational sources. - Build and maintain ETL/data workflows that support ML and generative AI workloads. - Work with relational, document, columnar, graph, and object store systems; design schemas for AI and analytics use cases. - Ensure data quality, reproducibility, lineage, and governance compliance. Digital Product Integration and Lifecycle Management - Collaborate with software engineering and platform teams to integrate AI models into production systems with appropriate monitoring and observability. - Support documentation, traceability, and regulatory readiness (e.g., auditability, GxP considerations). - Contribute to CRG Digital’s product development lifecycle including discovery, prototyping, testing, deployment, and iteration. Innovation, Partnerships, and Enablement - Stay current on emerging AI and ML technologies, evaluating opportunities for CRG Digital roadmaps. - Contribute to an innovative ecosystem involving external partners and technology collaborators. - Support internal digital and AI upskilling through documentation, best practices, and knowledge sharing. Tools, Technologies, and Platforms Programming: Python, SQL, Spark Libraries and Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, LangChain/LangGraph, OpenAI/other LLM SDKs Data Tools: Pandas, NumPy, Jupyter Cloud and Platforms: Databricks, AWS, Azure GCP; S3 or Azure Blob Storage Version Control: Git/GitHub Education and Experience: - Bachelor's degree or equivalent and relevant formal academic/vocational qualification - Master's degree preferred. - Previous experience in machine learning, AI model development, or data science that provides the knowledge, skills, and abilities to perform the job (comparable to 2+ years). - In some cases, an equivalency, consisting of a combination of appropriate education, training, and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role. Knowledge, Skills and Abilities: - Proficiency in modern SQL, Python, Spark, and associated AI/ML packages. - Experience with generative AI, large language models, NLP, prompt engineering, and LLMOps best practices. - Strong exploratory data analysis skills: ability to validate, visualize, and communicate model behavior. - Experience with cloud architecture, distributed computing, and modern ML platforms. - Familiarity with data governance, data security, and compliance requirements (preferably in a regulated or clinical environment). - Ability to manage multiple priorities in a matrixed environment. - Excellent analytical thinking, problem-solving, and communication skills. - Ability to work independently with minimal supervision and collaborate effectively with cross-functional teams. At Thermo Fisher Scientific, we are committed to fostering a healthy and harmonious workplace for our employees. We understand the importance of creating an environment that allows individuals to excel. Please see below for the required qualifications for this position, which also includes the possibility of equivalent experience: - Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner. - Able to work upright and stationary for typical working hours. - Ability to use and learn standard office equipment and technology with proficiency. - Able to perform successfully under pressure while prioritizing and handling multiple projects or activities. - May require as-needed travel (0-20%). Location: Remotely based in North Carolina, no relocation sponsored. *Must be legally authorized to work in the United States without sponsorship. *Must be able to pass a comprehensive background check, which includes a drug screening (US). The US annual salary range estimated for this position in North Carolina is $85,000 - $95,000 USD. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: - A choice of national medical and dental plans, and a national vision plan, including health incentive programs - Employee assistance and family support programs, including commuter benefits and tuition reimbursement - At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy - Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan - Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. We are seeking a Staff AI / MLOps Engineer to join our Software Engineering organization, owning the end-to-end machine learning lifecycle for production AI systems. This role is responsible for designing, building, deploying, operating, and evolving AI-powered systems that are scalable, reliable, observable, and maintainable in real-world clinical environments. This is a technical leadership role focused on operational excellence and architectural rigor. The ideal candidate is a hands-on engineer with deep experience across software engineering, MLOps, DevOps, cloud infrastructure, and data systems, capable of owning ML systems from initial design through long-term production operation, monitoring, retraining, and retirement. You will partner closely with data scientists, product teams, and platform engineers to ensure AI models successfully transition from research to durable, production-grade systems. WHAT YOU’LL DO: - Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement. - Transition AI/ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability. - Lead system design and architecture discussions, providing guidance on ML systems, MLOps, and AI infrastructure. - Develop and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost. - Integrate LLMs, generative AI, and NLP solutions into IMO Health products, focusing on unstructured clinical data. - Implement monitoring, alerting, logging, and dashboards to ensure model quality, detect drift, and maintain operational SLAs. - Build, maintain, and optimize CI/CD pipelines, automation scripts, and Infrastructure-as-Code for production ML systems. - Apply containerization (Docker, Kubernetes) and cloud infrastructure best practices to manage production environments. - Mentor and guide engineers, enforce technical standards, and drive reduction of technical debt. - Conduct root cause analysis of production defects and implement durable fixes. - Advocate for non-functional requirements (availability, scalability, reliability, maintainability) and design systems accordingly. - Collaborate cross-functionally with Product, Data Science, Architecture, and Engineering teams to align AI solutions with business goals. WHAT YOU’LL NEED: - 8+ years of professional experience in software engineering, AI/ML engineering, or related roles, building and operating production-grade systems. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). - Strong foundation in computer science fundamentals (data structures, algorithms, design patterns, operating systems, networking). - Expert-level coding skills in Python or Java, with a strong emphasis on production-quality software engineering practices. - Hands-on experience owning ML systems in production, including deployment, monitoring, retraining, and optimization. - Experience designing and operating CI/CD pipelines, automation, and observability for ML systems. - Deep experience with cloud platforms (AWS or Azure), containerization, and Infrastructure-as-Code. - Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow). - Experience integrating and deploying LLMs, generative AI, and agentic systems in production environments. - Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling); healthcare exposure is a plus. - Experience with Elasticsearch and vector databases for embedding-based search and retrieval. - Proven ability to translate business needs into scalable, reliable technical solutions, balancing technical debt and delivery velocity. - Strong system design skills for high-performance, distributed, and scalable systems. - Excellent communication and collaboration skills across cross-functional, distributed teams. - Self-starter who can operate autonomously and own complex systems end to end.  NICE TO HAVE: - Experience with clinical or healthcare AI applications. - Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks. - AWS Associate-level certification (Machine Learning Engineer or Solutions Architect). $170,000 - $240,000 a year Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page.

• Design and implement machine learning models and AI algorithms for applications such as OCR, retrieval-augmented generation (RAG), conversational agents, and content generation. • Develop and optimize prompts for LLMs to improve model outputs and align with business objectives. • Evaluate and fine-tune ML models and LLMs using rigorous testing and validation methodologies. • Collect, preprocess, and manage large datasets to support AI model training and deployment. • Collaborate with software engineers, data scientists, and product teams to integrate AI models into products and services. • Stay updated on the latest advancements in generative AI, LLMs, and machine learning frameworks. • Deploy AI models into production environments and monitor performance, making necessary adjustments over time.

Hi, I'm Raj, and I'm the Engineering Leader for Jane AI alongside my colleague, Thibaut. We're hiring a Senior or Staff Developer to join our team. Jane AI is a new team operating inside Jane as a startup. Our mission is to transform Jane into a lasting AI-first offering that leads our industry, in the shared pursuit of "helping the helpers." We're running three connected workstreams: - An agentic platform in Rails. A true SDK with tool use, orchestration, and context management that empowers teams across Jane to create AI-powered capabilities. Not a wrapper around an LLM. - Jane Companion. An AI-first, mobile-first product that rethinks practice management from scratch. What does a practitioner's day look like when every interaction is designed for AI from the ground up? A cohesive chat experience that connects everything in Jane. - Connective infrastructure. A capability built once is available everywhere: in the mobile app, on the phone, in the clinic's workflow. Intelligence flows across surfaces. Our new Senior/Staff Full Stack Engineer will work across all three. We need someone who can own architecture decisions, solve hard problems around performance and help the team grow as we continue to discover new opportunities. If you're excited about building something new at the intersection of full stack engineering and AI, we'd love to talk. What Experience We Need - 7+ years as a Software Engineer. We're looking for a strong senior or someone early in their staff journey. - Strong across or open to working with Ruby/Rails, TypeScript, and if you have experience with React Native, that'd be helpful too. - Comfortable working the full stack, not just a preferred corner of it. - Builder of your own tools. Automates tedious work instinctively, writes scripts and internal tooling to create leverage for the team. Experience building AI in production (agents, LLM orchestration, real user-facing features) is a significant bonus. - Self-directed. Sees what needs doing and does it. Comfortable with ambiguity. Doesn't wait to be told. - You've shipped something from scratch (product, company, side project) that people actually used. - Bias toward action. Ships and iterates rather than waiting for perfection. - Security-conscious. Understands why this matters when handling sensitive health data. More About Jane Jane is practice management software loved by allied health practitioners, from physiotherapists and counsellors to chiropractors and massage therapists. We grew entirely through word of mouth. No sales team. Just a product people loved enough to tell their colleagues about. Today, Jane supports over 65,000 clinics in 60 countries and we have over 1,000 new clinics joining Jane every month. We're profitable, north of $1.8B in valuation and remote-first. That combination, organic growth, real scale, real revenue, is rarer than it sounds. We're now in the middle of our most significant chapter yet. AI is changing what software can do, and we're leaning in hard, both in how our team works and in what we build for our customers. A note on pace Jane AI in a different season than most teams. We're chasing product-market fit with urgency. The pace is faster, the ambiguity is higher, and we lean in when it counts. It's not forever, but it's where we are right now. If you're energized by that kind of environment, you'll thrive here. The setup We're remote and async-first. Jane AI operates with autonomy, our own roadmap, our own priorities, our own ways to get work done, while staying connected to Jane for shared services and collaboration. We're flexible on level. What matters most is whether you can contribute meaningfully from day one. What we offer - Competitive compensation. This role has an annual base salary range of $180,000 to $280,000, plus equity through our JSOP (Jane Stock Options Plan). Our stock has grown 11x over the past six years, and team members have had the opportunity to exercise their options three times in that same period. In May 2025, Jane was valued at $1.8B, and with the recent backing of TCV, we have ambitious growth plans ahead. - Access to real problems. If you've felt constrained by the ceiling in previous roles, this is different. You'll work on hard problems, talk directly to customers, and see your work make a real impact. - Benefits. Full healthcare coverage and flexible time off.