Associate, Quality Assurance (QMS)

Docusign Developer

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead AI Engineer

Senior DevOps Engineer

IT Application Specialist

Document Control Lead

Senior Data Engineer

IBM DataStage Developer

Role Description: <ul><li>The Entry-Level Associate, Quality Assurance supports the Quality Management System (QMS) and documentation processes at the Chestnut Ridge site.</li><li>This role is designed for individuals beginning their career in pharmaceutical quality assurance and provides hands-on experience in maintaining compliance and supporting documentation workflows in a regulated environment.</li></ul> Responsibilities: <ul><li>Assist in organizing and maintaining QMS documentation including SOPs, CAPAs, deviations, and complaints.</li><li>Support the preparation and tracking of quality metrics and trending reports.</li><li>Help coordinate internal audits and document audit responses.</li><li>Participate in documenting product quality complaints and adverse event records.</li><li>Aid in digitizing logbooks and checklists using electronic systems.</li><li>Collaborate with cross-functional teams to ensure timely and accurate documentation updates.</li><li>Provide administrative support for change control processes and quality-related meetings.</li><li>Assist in preparing documentation for regulatory inspections and external audits.</li><li>Maintain document control systems and ensure timely review and archival of QA records.</li><li>Support training documentation and tracking for QA-related procedures.</li><li>Help with data entry and analysis for quality reports using basic statistical tools.</li><li>Monitor document lifecycle and ensure version control compliance.</li><li>Participate in continuous improvement initiatives related to documentation and QMS processes.</li></ul> Requirements: Education &amp; Experience <ul><li>Required Education: Bachelor’s degree in Pharmaceutical Sciences or a related field.</li><li>Preferred Education: Master’s degree is a plus.</li><li>Experience: 1–3 years in a pharmaceutical or regulated industry (internships or co-op experience acceptable).</li><li>Tools/Technologies: Familiarity with QMS platforms and electronic documentation systems preferred.</li></ul> Physical Requirements <ul><li>On-site role at Chestnut Ridge, NY.</li><li>Standard work hours: 8 AM to 5 PM.</li><li>No travel required.</li><li>No lifting or driving responsibilities.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain integrations with DocuSign CLM+ and eSignature APIs.</li><li>Implement and customize contract lifecycle management workflows.</li><li>Develop robust backend components using Java and C# to support business logic and integrations.</li><li>Work with XML and XSLT for document transformations and data interchange.</li><li>Build and manage stored procedures, packages, and triggers using Oracle PL/SQL.</li><li>Utilize Eclipse for Java development and Visual Studio for C# development.</li><li>Configure and support CI/CD pipelines using Azure DevOps.</li><li>Collaborate closely with business analysts, architects, QA, and infrastructure teams.</li><li>Troubleshoot and resolve integration and application issues across environments.</li><li>Create and maintain technical documentation and contribute to best practices.</li></ul> Requirements: <ul><li>8+ years of experience in enterprise application development.</li><li>Proficiency with DocuSign CLM+ (contract templates, workflow design, API integration).</li><li>Strong experience with DocuSign eSignature API and embedded signing flows.</li><li>Solid programming skills in Java and C#.</li><li>Expertise in XML and XSLT for document parsing and transformation.</li><li>Strong knowledge of Oracle Database and PL/SQL development.</li><li>Experience using Eclipse IDE and Visual Studio for software development.</li><li>Hands-on experience with Azure DevOps for version control, CI/CD pipelines, and environment management.</li><li>Strong analytical, communication, and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement ETL processes using IBM InfoSphere DataStage to extract data from various source systems, transform it according to business rules, and load it into target data warehouses and data marts.&nbsp;&nbsp;</li><li>Develop and maintain DataStage jobs, sequences, and workflows, ensuring optimal performance and scalability.</li><li>Troubleshoot and resolve data integration issues, working closely with data analysts and other stakeholders.</li><li>Write and execute complex SQL queries to analyze data, profile data sources, and validate ETL processes.</li><li>Collaborate with business analysts and data architects to understand data requirements and translate them into technical specifications.&nbsp;&nbsp;</li><li>Participate in the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and documentation.&nbsp;&nbsp;</li><li>Ensure adherence to data governance policies and standards.</li><li>Monitor ETL processes and proactively identify and address potential performance bottlenecks.</li><li>Contribute to the development and maintenance of technical documentation, including design specifications, mapping documents, and operational procedures.</li></ul> Requirements: <ul><li>Minimum of 3 to 5 years of hands-on experience in designing, developing, and implementing ETL solutions using IBM InfoSphere DataStage.</li><li>Strong understanding of ETL concepts, methodologies, and best practices.</li><li>Proficiency in writing complex SQL queries and working with relational databases, preferably Oracle.</li><li>Experience with data modeling concepts (e.g., dimensional modeling, star schema, snowflake schema).</li><li>Familiarity with Linux operating systems and basic Linux commands is a plus.</li><li>Exposure to OBIEE (Oracle Business Intelligence Enterprise Edition) or other business intelligence tools is a plus.</li><li>Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Excellent analytical skills and technical skills, with a strong attention to detail and problem-solving abilities.</li><li>Bachelors degree in Computer Science or equivalent in education and work experience.</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>Oversee the design, development, and deployment of AI models and intelligent agents.</li><li>Ensure engineering best practices in model development, testing, and deployment.</li><li>Collaborate with IT and data teams to ensure scalable and secure integration of AI solutions.</li><li>Work closely with business and technical stakeholders to understand requirements and deliver impactful AI solutions.</li><li>Communicate effectively with global teams, bridging technical and business perspectives.</li><li>Support change management and adoption of AI tools across business units.</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&nbsp;</li></ul> Requirements: Basic Qualifications:<ul><li>10+ years of experience in software engineering, data science, AI, or a related field.</li><li>2+ years of experience in leadership role managing technical teams.</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>Bachelor’s or master’s in computer science, Mathematics, Statistics, or a related field.</li></ul> Preferred Qualifications:<ul><li>Experience working in a global enterprise or matrixed organization.</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and MLOps tools.</li><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Experience in applications to sales, marketing, and market research&nbsp;</li></ul>

Responsibilities: Cloud Infrastructure Design and Deployment: <ul><li>Architect, design, and implement scalable, reliable, and secure solutions on GCP.</li><li>Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.</li><li>Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions and more.</li></ul> Infrastructure as Code (IaC) and Automation: <ul><li>Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.</li><li>Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.</li></ul> DevOps and CI/CD Pipeline Development: <ul><li>Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.</li><li>Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.</li></ul> Security and IAM Management: <ul><li>Handle user and service account management in Google Cloud IAM.</li><li>Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.</li><li>Implement network and data security best practices to ensure compliance and security of cloud resources.</li></ul> Performance Monitoring and Optimization: <ul><li>Monitoring &amp; Security: Set up observability tools like Prometheus, Grafana, and integrate security tools (e.g., SonarQube, Trivy).</li><li>Networking &amp; Storage: Configure DNS, networking, and persistent storage solutions in Kubernetes.</li><li>Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.</li><li>Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.</li></ul> Workflow Orchestration: <ul><li>Orchestrate complex workflows using Argo Workflow Engine.</li><li>Containerization: Work extensively with Docker for containerization and image management.</li><li>Optimization: Troubleshoot and optimize containerized applications for performance and security.</li></ul> Requirements:﻿ <ul><li>Bachelors or masters degree in computer science, Information Technology, or a similar field</li><li>Must have 10 + years of extensive experience in designing, implementing, and maintaining applications on GCP and OpenShift</li><li>Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring</li><li>Solid understanding of cloud security best practices and experience in implementing security controls in GCP</li><li>Thorough understanding of cloud architecture principles and best practices</li><li>Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles</li><li>Proven leadership skills and the ability to mentor and guide a technical team</li></ul>

Responsibilities: <ul><li>Take ownership of the application management for our internal core systems: Microsoft 365, Business Central, and Dynamics CRM.</li><li>Ensure operational stability and act as the first point of contact for internal queries related to these platforms.</li><li>Collaborate with various departments to develop new requirements and processes, ensuring their optimal implementation within our systems.</li><li>Provide technical support for Dynamics CRM, including interfaces and data flows.&nbsp;</li><li>Analyze and optimize existing processes, leveraging Power BI reports for data-driven insights.</li><li>Work closely with external partners and internal stakeholders to maintain and advance system operations.</li><li>Actively contribute to the digitization and automation of our internal workflows.&nbsp;</li></ul> Requirements: <ul><li>Several years of experience managing Microsoft 365, Business Central, and Dynamics CRM.</li><li>Proficiency with Power BI and an interest in data-driven decision-making.</li><li>Enjoy working with diverse departments and have a good understanding of business processes.</li><li>Strong analytical skills, independent and structured working style.</li><li>Good communication skills and a high level of quality awareness.</li><li>Native-level German; good English skills are an advantage.</li></ul>

Role Description: <ul><li>The Document Control Lead will serve as a key quality function responsible for establishing, maintaining, and managing the document control systems critical to ensuring regulatory compliance, data integrity, and operational readiness for a greenfield sterile injectable IV bag manufacturing facility.</li><li>This role will drive the creation, organization, distribution, and maintenance of all controlled documentation required to support GMP operations, regulatory submissions, and inspection readiness.</li><li>The incumbent will play a vital role in building document management systems during site startup and ensure robust control throughout the facility lifecycle.</li><li>This role will also be the site technical resource for coordination and qualification of corporate quality electronic document systems including Trackwise, Learning Management System, and the Document Control System.</li></ul> Responsibilities: <ul><li>Develop and implement comprehensive document control systems aligned with FDA cGMP, ICH, ISO, and company quality standards.</li><li>Manage the creation, review, approval, issuance, and archival of controlled documents including SOPs, batch records, forms, protocols, and reports.</li><li>Establish electronic document management systems (EDMS) and ensure proper system validation and security controls are in place.</li><li>Lead training initiatives for site personnel on document control processes, document authoring standards, and compliance requirements.</li><li>Coordinate cross-functional document reviews, version control, change management, and timely issuance of current documents to ensure operational readiness.</li><li>Monitor and ensure compliance with controlled document workflows, ensuring timely processing and adherence to procedural timelines.</li><li>Support regulatory inspections, internal audits, and external audits by providing controlled document access, retrieval, and documentation support.</li><li>Maintain accurate and organized archives (both physical and electronic) to ensure data integrity, traceability, and inspection readiness.</li><li>Collaborate with Quality Assurance, Validation, Operations, Engineering, and Regulatory Affairs to ensure alignment of document control processes.</li><li>Continuously improve document control processes, leveraging automation, best practices, and compliance trends to ensure long-term system robustness.</li></ul> Requirements: Qualifications/Experience: <ul><li>Bachelor’s degree in Life Sciences, Quality Management, or related field.</li><li>5+ years of experience in GMP-regulated pharmaceutical document control, preferably in sterile manufacturing.</li><li>Prior experience implementing or managing electronic document management systems (EDMS) strongly preferred.</li><li>Strong understanding of FDA cGMP, ICH, ISO 9001, and data integrity principles.</li><li>Experience supporting regulatory inspections and audits.</li></ul> Skills/Competencies: <ul><li>Expertise in controlled document management principles and electronic systems.</li><li>Strong attention to detail, accuracy, and compliance.</li><li>Excellent organizational and time management skills.</li><li>Ability to manage multiple priorities and document workflows simultaneously.</li><li>Strong cross-functional collaboration and communication skills.</li><li>Proficiency in EDMS platforms, document lifecycle management, and version control.</li><li>Ability to work in a greenfield/startup environment and build systems from the ground up.</li></ul>

Responsibilities: <ul><li>Develop and implement accurate forecasting models to predict product demand using historical data.</li><li>Leverage time series analysis techniques to generate business insights and drive data-driven decisions.</li><li>Continuously optimize forecasting models to adapt to changing business needs and improve forecast accuracy.</li><li>Apply advanced ML algorithms (e.g., XGBoost, Random Forest, Deep Learning) to solve complex business problems.</li><li>Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights.</li><li>Develop and validate machine learning models to support various analytical use cases.</li><li>Design scalable and maintainable data pipelines and architectures to support analytical workflows.</li><li>Ensure high data quality and consistency across multiple data sources.</li><li>Collaborate with engineering teams to implement best practices in data storage, processing, and governance.</li><li>Build and deploy data solutions on Databricks, leveraging its ML and Spark capabilities.</li><li>Utilize AWS services (e.g., S3, EC2, Lambda, SageMaker) for scalable cloud-based model training and deployment.</li><li>Ensure cost-effective and optimized use of cloud resources in project implementations.</li><li>Design end-to-end analytics and ML solutions tailored to client needs.</li><li>Lead technical discussions and contribute to solution architecture.</li><li>Translate business requirements into technical specifications and deliver actionable results.</li><li>Understand key metrics and pain points within manufacturing and supply chain operations.</li><li>Use domain knowledge to frame problems accurately and drive impactful analytical outcomes.</li><li>Collaborate with stakeholders to ensure alignment between analytics and business goals.</li><li>Understand SAP modules related to supply chain and manufacturing (e.g., MM, PP, SD) Use SAP knowledge to enhance data modeling and business context understanding.</li></ul> Requirement: <ul><li>Skills Required: o Strong proficiency in Python o Expertise in Time Series Forecasting and Demand Forecasting o Familiarity with Advanced ML Algorithms and Data Analysis o Must have experience in Data Architecture – practical exposure required o Hands-on experience with Databricks and AWS (should be visible in past projects) o Design and solutioning experience highly valued</li><li>Strong background in data architecture, solution design, and end-to-end ML model lifecycle</li><li>Experience as Data Architect, Solution Architect, or in equivalent architectural roles</li><li>Should come from a product-based or data engineering-focused startup background</li></ul>

Responsibilities: <ul><li>Design, develop, and implement ETL processes using IBM InfoSphere DataStage to extract data from various source systems, transform it according to business rules, and load it into target data warehouses and data marts.&nbsp;&nbsp;</li><li>Develop and maintain DataStage jobs, sequences, and workflows, ensuring optimal performance and scalability.</li><li>Troubleshoot and resolve data integration issues, working closely with data analysts and other stakeholders.</li><li>Write and execute complex SQL queries to analyze data, profile data sources, and validate ETL processes.</li><li>Collaborate with business analysts and data architects to understand data requirements and translate them into technical specifications.&nbsp;&nbsp;</li><li>Participate in the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and documentation.&nbsp;&nbsp;</li><li>Ensure adherence to data governance policies and standards.</li><li>Monitor ETL processes and proactively identify and address potential performance bottlenecks.</li><li>Contribute to the development and maintenance of technical documentation, including design specifications, mapping documents, and operational procedures.</li></ul> Requirements:﻿ <ul><li>Minimum of 3 to 5 years of hands-on experience in designing, developing, and implementing ETL solutions using IBM InfoSphere DataStage.</li><li>Strong understanding of ETL concepts, methodologies, and best practices.</li><li>Proficiency in writing complex SQL queries and working with relational databases, preferably Oracle.</li><li>Experience with data modeling concepts (e.g., dimensional modeling, star schema, snowflake schema).</li><li>Familiarity with Linux operating systems and basic Linux commands is a plus.</li><li>Exposure to OBIEE (Oracle Business Intelligence Enterprise Edition) or other business intelligence tools is a plus.</li><li>Excellent written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Excellent analytical skills and technical skills, with a strong attention to detail and problem-solving abilities.</li><li>Bachelors degree in Computer Science or equivalent in education and work experience.</li></ul>

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16 workflows Jobs found

Associate, Quality Assurance (QMS)

Docusign Developer

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead AI Engineer

Senior DevOps Engineer

IT Application Specialist

Document Control Lead

Senior Data Engineer

IBM DataStage Developer

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Associate, Quality Assurance (QMS)

Docusign Developer

IBM Infosphere DataStage Developer

Senior Machine Learning Engineer (Production & MLOps Focus)

Lead AI Engineer

Senior DevOps Engineer

IT Application Specialist

Document Control Lead

Senior Data Engineer

IBM DataStage Developer

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