Project Manager Engineer

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

 IIAD / SAD / LAD Artificial Intelligence Engineer

Senior AI Engineer

Validation Manager

Local Project Manager Engineer

Reference Standard Coordinator

Responsibilities: Project Timeline: <ul><li>Identify and align projects goals and scope with PJM and PM, and breakdown tasks of tooling/process developments and qualification</li><li>Make/align tooling development and qualification timeline, assign tasks to Ops team include tooling development, materials purchase</li><li>Track and manage core team to execute project progress based on committed project schedule</li></ul> Project Cost: <ul><li>Lead Ops to simulate sample cost and production cost to achieve project landing zone target, lead Ops to optimize launch cost to the best</li><li>Budget and control scrap cost though leverage design and manufacturing process to meet project target during NPI phase</li></ul> Project Execution: <ul><li>Guide capacity planning, materials sourcing and manpower to support all builds in the plant.</li><li>Oversee the progression of tooling/process development, identify bottleneck and issues, organize Ops team to improve those bottleneck and issues.</li><li>Oversee risks assessment in project execution, stay interlock with PJM to make multination plan and conduct the planned activities in Ops.</li><li>Finalize the Safe Launch plan for the appropriate mix of product, tool capability and demand with the approval of the PjM, Quality, MDPE, and PjE. a. Lead Safe Launch team meetings to ensure successful HVM startup and manufacturing process qualification for attainment of required metrics for successful G5 handoff.</li><li>Align the budget with the Ops team with the tooling list provided by MPDE-A, control total capital spending against CER.</li><li>Lead and coordinate line setup to conduct LVM sample builds and coordinate HVM tool builds.</li><li>Lead Ops to make ramp up plan, include materials, operations and tool capacity ramp up, ensure manufacture team take over production control smoothly after G5.</li></ul> Product Sustaining: <ul><li>Product migration, as a receiving or sending leader to execute product move in or move out, including project timeline, investment, cost control, machine/material/manpower preparation, safety stock, safe launch, etc.</li><li>Lead product capacity analysis and expand it through re-investment per estimation.</li></ul> Requirements: <ul><li>Bachelor’s degree, engineering background is better</li><li>PMP certification preferred</li><li>At least 5 years related working experience in project management, 1~2 years’ experience in connector/cable/cable assembly is better</li><li>Fluent oral and written/reading in English</li><li>Experience in IT Project Manager, Data Center Business or digital networking project is an advantage.</li></ul>

Responsibilities: <ul><li>Establish and lead the QC laboratory, including analytical and microbiological functions, supporting sterile injectable IV bag production.</li><li>Oversee all testing activities: raw material, in-process, finished product, and stability testing, in compliance with applicable cGMP and regulatory requirements.</li><li>Support and manage startup, qualification, calibration, and maintenance of all QC lab equipment and systems to ensure operational readiness and regulatory compliance.</li><li>Develop and enforce strong data integrity practices, including procedures, training, and routine monitoring of laboratory systems and documentation.</li><li>Build and maintain a scientifically sound, compliant laboratory environment capable of supporting high-potent APIs and controlled substances.</li><li>Hire, train, and mentor laboratory personnel to ensure technical capability and compliance with laboratory and safety procedures.</li><li>Implement and maintain robust systems for documentation (SOPs, protocols, specifications), investigations (OOS, deviations), and CAPA management.</li><li>Lead and support analytical method transfers, validations, and technical investigations in collaboration with cross-functional teams.</li><li>Oversee microbiology operations, including environmental monitoring, utility sampling, sterility testing, and microbiological release activities.</li><li>Ensure inspection readiness and represent QC in audits, PAIs, and regulatory inspections.</li><li>Collaborate cross-functionally with QA, Validation, Engineering, Manufacturing, and Regulatory to ensure alignment and compliance across the site.</li><li>Ensure adherence to safety protocols, especially in handling high-potent materials and controlled substances.</li><li>Establish laboratory KPIs and drive continuous improvement in performance, compliance, and operational efficiency.</li></ul> Requrements: Qualifications / Experience: <ul><li>Bachelor’s or Master’s degree in Chemistry, Microbiology, or related scientific discipline.</li><li>8–12 years of pharmaceutical QC laboratory experience, including 3–5 years in a leadership role.</li><li>Experience with sterile injectable manufacturing, high-potent APIs, and controlled substances is required.</li><li>Deep knowledge of cGMP, FDA, ICH, USP, and applicable global regulatory standards.</li><li>Experience with startup or greenfield sites and laboratory buildouts preferred.</li><li>Demonstrated experience with method transfer, validation, and technical problem-solving.</li><li>Experience establishing equipment lifecycle programs, including qualification and maintenance.</li></ul> Skills / Competencies: <ul><li>Strong leadership with ability to build and develop high-performing lab teams.</li><li>Excellent technical knowledge in analytical and microbiological testing.</li><li>Deep understanding of data integrity principles and enforcement of best practices.</li><li>Proficiency in laboratory systems (LIMS, CDS, ELN) and equipment qualification.</li><li>Ability to manage complex lab operations in a startup environment.</li><li>Strong project management, documentation, and communication skills.</li><li>Commitment to patient safety, quality, and regulatory compliance.</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Responsibilities: <ul><li>Serve as the site Validation SME, overseeing all validation activities, including process, cleaning, equipment, utility, and computer system validation.</li><li>Own and maintain the Validation Master Plan (VMP), ensuring alignment with regulatory expectations, site activities, and company objectives.</li><li>Develop, implement, and maintain the site validation lifecycle program, including process validation, performance qualification (PQ), and CPV.</li><li>Lead validation planning and coordination efforts for new equipment, systems, and process changes in collaboration with Engineering, Manufacturing, and Quality.</li><li>Manage validation project timelines and resource allocation, ensuring activities support commercial readiness and ongoing operations.</li><li>Review and approve validation protocols, reports, and risk assessments in compliance with FDA, EMA, ICH Q8-Q10, EU Annex 15, and company standards.</li><li>Support and participate in cross-functional risk assessments (e.g., FMEA) related to qualification and validation efforts.</li><li>Ensure validation documentation is complete, accurate, and audit ready.</li><li>Provide guidance and technical expertise during regulatory inspections, audits, and customer assessments.</li><li>Develop and maintain the site’s Continuous Process Verification (CPV) program to monitor validated state and process performance over time.</li><li>Define and monitor KPIs for validation program effectiveness and drive improvements in validation efficiency and compliance.</li><li>Train and mentor staff on validation principles and procedures to build internal capability across departments.</li><li>Ensure change control, deviation management, and CAPA processes integrate appropriately with validation and qualification requirements.&nbsp;</li></ul> Key Stakeholders: Internal: <ul><li>Site Quality, Manufacturing, and Engineering Teams</li><li>Technical Services, Supply Chain, and EHS</li><li>Validation Analysts and Support Staff</li><li>Corporate Validation and Quality Teams</li></ul> External: <ul><li>Regulatory Agencies (FDA, EMA, etc.)</li><li>Equipment and system vendors</li><li>Contract testing laboratories</li><li>Third-party auditors and certifying bodies</li></ul> Requirements; Qualifications / Experience: <ul><li>Bachelor’s degree in engineering, Life Sciences, Pharmacy, or related discipline; Master’s preferred</li><li>Minimum 10-12 years of experience in pharmaceutical or biotechnology validation, with at least 3 years in a leadership or SME role</li><li>Validation of sterile injectable equipment expertise required</li><li>Strong knowledge of FDA cGMPs, ICH Q8–Q10, EU Annex 15, and validation best practices</li><li>Experience with sterile injectable manufacturing, aseptic processes, utilities, and equipment qualification</li><li>Experience with controlled substances and high-potency compounds preferred</li><li>Proven experience supporting regulatory inspections and third-party audits</li><li>Experience with commissioning, qualification, and validation in a startup (greenfield) or expansion environment preferred </li></ul> Skills / Competencies: <ul><li>Strong technical writing and documentation review skills</li><li>Ability to manage multiple projects and prioritize in a fast-paced environment</li><li>Expertise in sterile systems, process validation, cleaning validation, and computer system validation</li><li>Excellent cross-functional communication, influencing, and collaboration skills</li><li>Strong analytical, risk-based decision-making, and problem-solving skills</li><li>Leadership presence with ability to coach and mentor others in validation principles</li><li>Commitment to data integrity, patient safety, and product quality</li></ul>

Responsibilities: Project Timeline: <ul><li>Identify and align projects goals and scope with PJM and PM, and breakdown tasks of tooling/process developments and qualification</li><li>Make/align tooling development and qualification timeline, assign tasks to Ops team include tooling development, materials purchase</li><li>Track and manage core team to execute project progress based on committed project schedule</li></ul> Project Cost: <ul><li>Lead Ops to simulate sample cost and production cost to achieve project landing zone target, lead Ops to optimize launch cost to the best</li><li>Budget and control scrap cost though leverage design and manufacturing process to meet project target during NPI phase</li></ul> Project Execution: <ul><li>Guide capacity planning, materials sourcing and manpower to support all builds in the plant.</li><li>Oversee the progression of tooling/process development, identify bottleneck and issues, organize Ops team to improve those bottleneck and issues.</li><li>Oversee risks assessment in project execution, stay interlock with PJM to make multination plan and conduct the planned activities in Ops.</li><li>Finalize the Safe Launch plan for the appropriate mix of products, tool capability and demand with the approval of the PM, Quality, MDPE, and PjE. a. Lead Safe Launch team meetings to ensure successful HVM startup and manufacturing process qualification for attainment of required metrics for successful G5 handoff.</li><li>Align the budget with the Ops team with the tooling list provided by MPDE-A, control total capital spending against CER.</li><li>Lead and coordinate line setup to conduct LVM sample builds and coordinate HVM tool builds.</li><li>Lead Ops to make ramp up plan, include materials, operations and tool capacity ramp up, ensure manufacture team take over production control smoothly after G5.</li></ul> Product Sustaining: <ul><li>Product migration, as a receiving or sending leader to execute product move in or move out, including project timeline, investment, cost control, machine/material/manpower preparation, safety stock, safe launch, etc.</li><li>Lead product capacity analysis and expand it through re-investment per estimation.</li></ul> Requirements: <ul><li>Bachelor’s degree, engineering background is better</li><li>PMP certification preferred</li><li>At least 5 years’ related working experience in project management, 1~2 years’ experience in connector/cable/cable assembly is better</li><li>Fluent oral and written/reading in English</li><li>Experience in IT Project Manager, Data Center Business or digital networking project is an advantage.</li></ul>

Responsibilities: Sample Management <ul><li>Performs QC reference standard/chromatographic column receipt, processing, distribution for testing and storage.</li><li>Performs QC reference standard reconciliation and disposal.</li><li>Tracks inventory of reference standards in the lab.</li><li>Uses laboratory software for reference standard, chromatographic column management.</li><li>Verifies accuracy of labeling/documentation provided with reference standards.</li><li>Informs QC Coordinator if chemical or reference standard is expired for removal from laboratory area.</li><li>Coordinates, with lab management, in-house qualification of reference standards. Submit samples to the appropriate lab groups for testing.</li><li>Create and maintain reports including quality data trending, informational spreadsheets, laboratory log spreadsheets.</li><li>Compile a list of necessary laboratory supplies specifically reference standards, contacting vendors to obtain quotes.</li><li>Uses the purchasing system to procure reference standards and laboratory supplies.</li><li>Provide status updates to QC management and other departments regarding the status of reference standard inventory.</li><li>Maintain a safe work environment by following standards and procedures and complying with legal regulations.</li></ul> Lab Equipment <ul><li>Maintains, operates equipment and instruments supporting reference standard processing.</li><li>Provides general laboratory support such as routine instrument cleaning/preventative. maintenance, reference standard/sample receiving, chemical inventory, document filing and housekeeping.</li><li>Works with internal resources to maintain lab in an optimal state. Cleans lab working surfaces and disposes of any excess chemicals, solutions, solvents, etc. in the special waste containers for each class of waste chemicals.</li><li>Under close supervision, learns to troubleshoot basic instrument problems.</li></ul> Investigations <ul><li>Escalates any trends/events to the QC Lab Manager.</li><li>Escalates any reference standard documentation issues to the QC Lab Manager.</li><li>With guidance, participates in OOS/OOT/NOE and other investigations.</li><li>Assists, as and when needed, scientists working in the laboratory.</li><li>May assist in drafting, editing, and reviewing SOPs.</li></ul> Training <ul><li>Maintains assigned training records current and in-compliance.</li><li>May assist in the training of laboratory staff.</li></ul> Compliance <ul><li>Performs assigned work in a timely and safe manner conforming to regulatory, company and compendiaI requirements within pharmaceutical manufacturing setting.</li><li>Documents accurately data generated in notebooks/worksheets/LIMS in compliance with SOPs.</li><li>Follows internal processes related to controlled substances.	continuous.</li></ul> Safety <ul><li>Follows EH&amp;S procedures to ensure a safe work environment.</li><li>Follows all applicable safety and standards guidelines, such as SOPs, cGMP, DEA regulations good documentation practice and/or MSDS.</li></ul> Requirements: Education &amp; Experience <ul><li>College graduate, preferably in a Science related field.</li><li>Laboratory experience related to sample management preferred.</li></ul> Knowledge <ul><li>Basic knowledge of reference standard/sample management in a laboratory environment.</li><li>Some knowledge of applicable safety and standards guidelines: SOP, cGMP, GLP, DEA regulations and/or MSDS.</li><li>Competency in Microsoft Office Suite.</li><li>Proficiency with computers.</li></ul> Skills &amp; Abilities <ul><li>Ability to display and analyze data in a logical manner.</li><li>Good verbal and written communication skills as well as good computer skills.</li><li>Attention to details and accurate record keeping.</li><li>Establish and maintain cooperative working relationships with others.</li><li>Solid organizational skills.</li><li>Ability to take initiative, set priorities and follow through on assignments.</li></ul> Physical Requirements	 <ul><li>Extended periods of sitting, standing, walking, reaching, climbing/balancing, kneeling/crouching/crawling, looking at monitor for extended periods, moderate noise levels and potential business travel. Work is in an FDA and DEA-regulated pharma lab environment with risk of exposure to various chemicals.</li><li>Must occasionally lift and/or move up to 15-25 lbs.</li><li>Ability to wear personal protective equipment, including respirators, gloves, etc.</li><li>Specific visions abilities are required by this job include close vision and color vision.</li><li>Ability to occasionally tolerate significant differences in temperature and/or humidity for short periods.</li></ul>

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41 cnc controlled grinding machine Jobs found

Project Manager Engineer

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Senior AI Engineer

Validation Manager

Local Project Manager Engineer

Reference Standard Coordinator

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41 cnc controlled grinding machine Jobs found

Project Manager Engineer

QC Laboratory Manager

Solution Engineer - AI Infrastructure

Senior Machine Learning Engineer (Production & MLOps Focus)

Data & Business Intelligence Analyst

IIAD / SAD / LAD Artificial Intelligence Engineer

Senior AI Engineer

Validation Manager

Local Project Manager Engineer

Reference Standard Coordinator

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WhiteCrow is on a mission to connect companies with the best talent across the globe.