About us Your Contribution Provide support to Production by visually inspecting sterilized glass vials throughout daily activities; identify and classify defectsPerform visual inspection and testing of incoming materials using statistical sampling techniques, precision measuring instrumentation and FT-IR to ensure conformancePerform laboratory tests including endotoxin, bioburden and sub visible particlePerform Environmental Monitoring in ISO level Clean Room including compressed air testingConduct inventory of laboratory supplies and communication needs for order placement(s)Collect WFI (Water For Injection) for testing using aseptic techniqueCommunicate non-conforming issues and interact effectively with proper contact(s)Demonstrate flexibility in providing coverage during instances of co-work vacation time and/or medical absence(s)Cross train in other areas and/or functions of the laboratory to support business needsComplete daily, weekly and monthly cleaning of applicable laboratory areasReview testing documents for completeness and accuracyMaintain all laboratory notebooks and equipment log booksWork on all assigned tasks, projects and daily tasksFollow all Company policies and proceduresParticipate in required trainings and meetings, when necessaryHelp promote and implement safety/EHS directives and maintain a clean and safe workspaceFollow cGMP and adhere to all ISO and safety guidelines and policies Your Profile High School Diploma or GED, requiredQuality Control and laboratory experience, preferredExperience working in a fast-paced manufacturing settingUnderstanding of cGMP and ISO, preferredBasic computer knowledge and skills including MS OfficeMulti-tasking abilitiesDetail oriented approach; ability to follow directions and instructionsPositive team approachEffective communication skillsAbility to read, write and speak English language Your Benefits Excellent healthcare benefits including medical, dental and visionShort and long term disability Tuition reimbursement Paid time offPet insurance Other supplemental benefits available upon election Please feel free to contact usYour Profile High School Diploma or GED, requiredQuality Control and laboratory experience, preferredExperience working in a fast-paced manufacturing settingUnderstanding of cGMP and ISO, preferredBasic computer knowledge and skills including MS OfficeMulti-tasking abilitiesDetail oriented approach; ability to follow directions and instructionsPositive team approachEffective communication skillsAbility to read, write and speak English language
Carry out the scanning and allocation of patient notes, invoices and other paperwork into the computer system as required. Manage IDEAS administration, including mail merges for non-lab documents and checking patient records when orders are received following Oxford TPA.
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
What makes you stand out You hold a Master’s degree in Economics, Mathematics, Statistics, Computer Science, or another related quantitative field.You bring at least 3 years of professional Data Science experience and have a proven track record of bringing models from the lab into real‑world production use cases.You are proficient in Python and SQL and have hands‑on experience building solutions on Azure and working with Snowflake.You have a deep understanding of statistical methods and apply them effectively in an agile, fast‑paced environment.You think in products, not experiments – model versioning, testing, and performance monitoring are second nature to you.You communicate complex topics clearly and with impact, presenting to different audiences confidently; you are fluent in English, and German skills are a plus.