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Our client&nbsp;is seeking a highly skilled and motivated AI Engineer to join their advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in their Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.ROLE RESPONSIBILITIES<ul><li>Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes.</li><li>Provides guidance and may lead/co-lead moderately complex projects.</li><li>Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes.</li><li>Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.</li><li>Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise.</li><li>Collaborate effectively with contractors to deliver technical enhancements.</li><li>Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.</li><li>Conduct root cause analysis and address production data issues.</li><li>Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer’s projects.</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.</li><li>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.</li><li>5+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.</li><li>Strong understanding of data structures, algorithms, and software design principles</li><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>Please apply by sending your CV and a motivational letter in English.

1410 – Manager, Data Engineer – AI and Automation

Our client&nbsp;is seeking a highly skilled and experienced Cloud Engineer to join their team. In this role, you will be responsible for designing, implementing, and maintaining their cloud infrastructure. You will work closely with their development and operations teams to ensure the reliability, scalability, and security of their cloud-based services.ROLE RESPONSIBILITIES<ul><li>Design and Implement Cloud Solutions: Develop and deploy scalable, reliable, and secure cloud architectures using industry best practices.</li><li>Infrastructure Management: Maintain and manage cloud environments, ensuring optimal performance and cost-efficiency.</li><li>Automation: Develop automation scripts to streamline deployment, management, and monitoring of cloud resources.</li><li>Security: Implement and enforce security best practices to safeguard their cloud infrastructure and data.</li><li>Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and continuous improvement of their cloud services.</li><li>Troubleshooting: Identify and resolve technical issues related to cloud infrastructure and services.</li><li>Documentation: Maintain comprehensive documentation of cloud infrastructure, configurations, and processes.</li><li>Stay Current: Continuously research and stay up-to-date with the latest trends and advancements in cloud technology.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>Minimum of 5 years of experience in cloud engineering or a similar role.</li><li>Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong understanding of cloud architecture principles and best practices.</li><li>Experience with infrastructure-as-code tools such as Terraform or Cloud Formation.</li><li>Proficiency in scripting languages like Python, Bash, or PowerShell.</li><li>Proficiency in scripting Airflow DAGs</li><li>Solid understanding of networking concepts and protocols.</li><li>Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>Strong problem-solving and troubleshooting skills.</li><li>Excellent communication and teamwork abilities.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala.</li><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>Please apply by sending your CV and a motivational letter in English.

1409 – Manager, Cloud Engineer – AI and Automation

As a Senior Manager, Commercial Data Products, your role is to act as a trusted advisor for the US &amp; International commercial stakeholders and identify scalable Commercial data products to solve key business questions.You will be responsible for managing the development and deployment of Commercial data products at scale and be the digital owner of the end-to-end product roadmap.You are expected to work closely with the Digital creation centers, AIDA Commercial COEs, Data Science Industrialization &amp; Data engineering teams and Global commercial Analytics to bring the power of AI, Data and analytics to support key strategic priorities for the commercial organization.As the single point of contact for you will act as domain expert for commercial stakeholders and are expected to act as an orchestrator to drive success in delivery and adoption of these products.ROLE RESPONSIBILITIES<ul><li>Product manager for assigned Commercial data products</li><li>Process owners for scaling, enhancement and industrialization of Commercial data products</li><li>Lead product roadmap creation, development &amp; deployment for key strategic Commercial data products</li><li>Provide digital interface and support for enterprise transformation initiatives supported by Commercial data products</li><li>Partner with CMO-Commercial analytics and act as key interface with Digital/AIDA creation centers &amp; CoEs</li><li>Orchestrate delivery for key AIDA priorities through partnership with Global Commercial Analytics including the Analytics Gateway</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)</li><li>7+ years of work experience in healthcare/life sciences consulting, analytics or product management in a diverse range of projects</li><li>2+ years’ experience in application of Data/AI/ML in pharma/healthcare commercial organizations</li><li>Experience of working in complex cross-functional environment with senior stakeholders in the pharma commercial domain with very strong communication and ability to influence without authority</li><li>Experience of working in an ambiguous environment and strong problem-solving ability using quantitative approaches</li><li>Strong English communication skills (written &amp; verbal)</li></ul>PREFERRED QUALIFICATIONS<ul><li>Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline</li><li>Hand-on experience in at least one data/analytics engineering /data science language/platforms/technology (SQL, Python, R, SAS, Alteryx, Dataiku)</li><li>Hand-on experience in developing data or AI/ML products for pharma commercial applications</li><li>Product management background in healthcare analytics/technology</li><li>Understanding of pharma commercial data landscape</li></ul>Please apply by sending your CV and a motivational letter in English.

1406 & 1407 – Senior Manager, Commercial Data Products

The Senior, AI and DataOps Product Manager within the R&amp;D AI, Data, &amp; Analytics (AIDA) team at Pfizer Digital is a leadership role responsible for driving the strategy, technical delivery, and execution of projects to support Pfizer’s AIDA R&amp;D objectives. This includes: establishing an integrated roadmap for foundational data products in collaboration with the others across the business and Digital teams; Developing and maintaining strong relationships with relevant stakeholders to ensure the Technical product roadmap delivers set vision and metrics are aligned with the overall business strategy.The Senior, AI and DataOps Product Manager responsibilities include participating in planning, defining, and high-level designing of solutions to achieve the business and digital objectives. Additionally, they are expected to exploring alternative solutions when existing technology falls short of meeting business needs and developing business cases, socializing, and securing funding to ensure continuous progress.The Senior, AI and DataOps Product Manager will continually refines and maintain a prioritized roadmap of DataOps products while leading a multi-disciplinary team to create and deliver AI and data product solutions. This requires strong decision-making, team leadership, data product management, human centered design and agile delivery expertise. This role is involved at every phase of a product lifecycle ensuring the successful realization of the vision.The Senior, AI and DataOps Product Manager will also be responsible for managing budget, resources and vendors related to the DataOps product portfolio they are responsible for.&nbsp;The successful candidate for this role will have a deep technical understanding of AI and data product management discipline, agile delivery and change management, with a proven track record of delivering impactful solutions in a complex organizational environment. This role will be reporting to the Senior Director AI and Data Solutions Engineering.Strategy and Product Management<ul><li>Create shared vision and strategy for foundational technical capabilities which enable Clinical Development Operations data aggregation and report to achieve R&amp;D domain business strategy and goals.</li><li>Responsible for the overall delivery, vision and metrics for the foundational Data Product capabilities.</li><li>Build and maintain integrated product roadmap, prioritizing features based on value &amp; feasibility to achieve business strategy and goals.</li><li>Participate in planning, defining, and high-level designing of solutions and explore solution alternatives if current technology does not suit business needs.</li><li>Communicate and ensure transparency to the Foundational product vision, strategy, and results to senior management and business partners.</li><li>Provides oversight and optimize delivery for contractors and managed services.</li><li>Manages foundational data product expectations &amp; drives adoption within the organization.</li><li>Work with cross-functional teams of engineers and designers to deliver user-centric products.</li><li>Apply user-centered design principles and practices in the product development lifecycle.</li><li>Exercise strong decision-making mandate across cross-functional teams.</li><li>Drive products to achieve success metrics on an ongoing basis throughout the product lifecycle by analyzing and solving the problems of your targeted end users.</li><li>Collaborate with leaders and teams across the portfolio to ensure successful market launch and continuous improvement across the product lifecycle.</li><li>Oversee creation of user stories/specs and data analysis to justify product decisions and apply key learnings.</li><li>Create and deliver presentations and manage stakeholder expectations.</li></ul>Delivery<ul><li>Lead multi-disciplinary team responsible for AI and data foundational product delivery ensuring high quality, timely, and impactful results.</li><li>Provide leadership and guidance for agile / iterative delivery of data products.</li><li>Provide Technical and functional delivery oversight ensuring high delivery quality.</li><li>Manage data product expectations.</li><li>Drive change management and adoption of data product usage.</li></ul>Leadership<ul><li>Foster a culture of creativity, curiosity, inclusion, and excellence.</li><li>Set, articulate, and drive the team to deliver against integrated product roadmap through shared understanding of strategy and delivery plan.</li><li>Effective communicator and presenter.</li><li>Ability to empower team members to make decisions and foster an environment of shared understanding, ownership and accountability.</li><li>Effective at adapting to shifting circumstances and business environment, creating and team environment that easily adapts to change with continued productivity and high morale.</li><li>Manage part of a within a shared budget and execute contracts.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in computer science, Engineering, Business, or a related discipline.</li><li>7+ years of product management experience, with pharmaceutical or healthcare experience a strong plus.</li><li>3+ years of leading technical delivery as part of a multi-disciplinary team.</li><li>Experience successfully creating and executing against product visions, strategies, and roadmaps that achieve goals and outcomes.</li><li>Exceptional at working with and analyzing user metrics and turning them into actionable insights, including the use of A/B testing and analytics platforms.</li><li>A curious and highly motivated self-starter who can work effectively across cross-functional teams and can independently drive progress toward completion with proper planning and management.</li><li>Passion for delivering foundational, user-centric technical solutions.</li><li>Agile/Lean Development knowledge, training or experience.</li><li>A strong communicator with great written and verbal skills.</li><li>Up to date and knowledgeable about the latest trends, innovations and best practices in the digital space.</li><li>Strong understand of cloud native Data solutions such as Snowflake, Databricks, Collibra and Reltio.</li></ul>PREFERRED QUALIFICATIONS<ul><li>MBA or Master’s degree in strategy, management, or related field is a plus.</li><li>Certification in Agile and Scrum development practices is a plus.</li><li>Experience in technical product delivery, product design and data &amp; analytics.</li><li>Experience in Clinical Data Operations technical delivery including compliance requirements for GXP.</li></ul>Please apply by sending your CV and a motivational letter in English.Work Location Assignment:&nbsp;Hybrid

1404 – Senior, AI and DataOps Product Manager

All over the world,&nbsp;our client’s&nbsp;colleagues are working together to positively impact health for everyone, everywhere. Each position at Pfizer touches and contributes to the success of their business and our world. That’s why, as one of the global leaders in the biopharmaceutical industry, Pfizer is committed to seeking out inspired new talent who share their core values and mission of making the world a healthier place.R&amp;D within AIDA (AI, Data and Analytics), a Pfizer Digital organization, is responsible for the development and management of all data and analytics tools and platforms across the enterprise – from global research and development, to manufacturing, to commercial, to patient care across over 100+&nbsp;countries. One of the team’s top priorities is the advancement of AI/ML enabled analytics and the creation of data solutions that can be leveraged across the enterprise.R&amp;D in AIDA&nbsp;holds responsibility for the development and operations of the aggregate data solutions (data lakes and associated application portfolios) supporting Pfizer’s scientific and clinical functions.The Senior Associate Solution Engineer will develop data solutions with a team of peer developers, digital client partners, architects, platform leads and contract support personnel for Global Clinical Supply (GCS).What You Will AchieveIn this role, you will:<ul><li>Design, develop, maintain and improve new and existing data solutions with a strong sense of accountability and attention to quality (mainly within a cloud hosted environment).</li><li>Design, develop and maintain patterns used for various data engineering solutions. Identify, evaluate and recommend alternative design options when needed.</li><li>Align development activity with recommended architectures, platforms and coding standards.&nbsp;Ensures quality, security and privacy are built in.</li><li>Partner with internal and external teams to implement data solutions. Collaborate closely with others in cross-functional teams.</li><li>Perform code reviews and testing of code written, including designing and writing automated workflows to allow for continuous delivery.</li><li>Ensure high data reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes.</li><li>Ensure documentation requirements are met based on both SDLC and ADLC processes.</li><li>Exercise own judgment leveraging knowledge and experience, working independently with instruction on complex problems.</li><li>Translate business requirements into engineering specifications.</li></ul>Basic Requirements:<ul><li>BS/MS in Computer Science, Engineering, or related field.</li><li>3+ years of experience in a hands-on data engineering role.</li><li>Fundamental knowledge in programming using Python and PySpark.</li><li>Demonstrated knowledge of Structured Query Language (SQL).</li><li>Back-end experience with databases such as Oracle, RedShift, and&nbsp;Snowflake.</li><li>Knowledge of Big Data technologies.</li><li>Experience in designing, developing and implementing advanced data engineering solutions.</li><li>Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision.</li><li>Flexible to changing priorities and comfortable in a fast-passed dynamic environment.</li><li>Strong attention to detail with high standards of quality and customer value.</li><li>Self-motivated and proactive with the ability to take ownership of issues.</li><li>Excellent oral and written communication skills.</li><li>Familiarity on ETl workflows, data storage, index strategies, ingesting/indexing processes, transforming/normalizing data and data enrichment upon ingest.</li></ul>Preferred Requirements:<ul><li>Experience in working with cloud solutions and services, preferably AWS.</li><li>Experience with developing identity management solutions desirable.</li><li>Experience in&nbsp;developing solutions aimed at medical professionals desirable.</li><li>Experience in the Pharma&nbsp;industry&nbsp;desirable.</li><li>Experience in modern software development practices including distributed versioning systems, continuous&nbsp;integration/deployment,&nbsp;automated testing (DevOps).</li><li>Working knowledge of Jira, GitHub, and Docker.</li><li>Experience with Agile methodology for developing and delivering solutions.</li></ul>Work Location Assignment:&nbsp;Hybrid

1399 – Senior Associate, Solution Engineer

Site Reliability Engineering (SRE) is a set of principles and practices that seeks to take a software engineering approach to solving IT Operations problems. In the Site Reliability Engineering team,&nbsp;our client&nbsp;seeks to apply an SRE approach to managing infrastructure operations, with a focus on:<ul><li>Ensuring services are running smoothly: identifying and regularly reviewing operational health indicators to ensure delivery to defined service levels.</li><li>Continuously analyzing service data to identify service improvement opportunities. Opportunities will be assessed on their potential to remove manual effort (‘toil’), improve service reliability, and enhance customer experience.</li><li>Developing, or partnering with other teams to develop automation that will remove toil from the environment, and deliver a more reliable, cost-effective service to the company.</li></ul>The SRE engineer will work to ensure that Pfizer’s critical services have reliability and uptime appropriate to users’ needs by developing software that automates support tasks, reduces errors, and self-heals common service failures.ROLE RESPONSIBILITIES<ul><li>Work as part of a team of software and systems engineers on projects oriented towards improving the availability, reliability and efficiency of the global infrastructure services that run Pfizer’s critical applications.</li><li>Develop infrastructure and build monitoring and automated solutions to address those recurring issues and to remove manual effort to increase service efficiency.</li><li>Apply “everything-as-code” philosophy across configuration, infrastructure, Orchestration methodologies to ensure their production systems are fault tolerant and resilient.</li><li>Analyze system data to identify patterns that indicate opportunities for improvement, particularly by addressing recurring issues, or automating currently manual effort (‘toil’).</li><li>Take a data-driven approach to identifying and surfacing indicators for use by the broader operations team to monitor service health.</li><li>Practice blameless post-mortems – deep-dive analyses on major service events and outages, with a view to identifying opportunities for improvement.</li></ul>QUALIFICATIONS&nbsp;Basic requirements:<ul><li>Bachelor’s degree in computer science or related technical field, or equivalent practical experience.</li><li>At least 5 years of demonstrated experience in similar roles/environments.</li><li>Experience with at least one of the major cloud providers (AWS, Google Cloud, Azure, etc), infrastructure architecture and infrastructure as code (IaC).</li><li>Proven experience with containerization and container orchestration tools.</li><li>Proven experience working with various operating systems, including Unix, Linux, and Windows (on premise and virtual).</li><li>Proven experience with configuration management tools (Ansible, Puppet, Chef etc).</li><li>Expertise in git operations, branching strategies, versioning and releasing.</li><li>Practical experience and understanding of CI/CD pipelines.</li><li>Strong scripting skills (Bash, PowerShell, Python etc.) to automate various tasks.</li><li>Exposure to monitoring tools (logs, metrics, traces) and alerts.</li><li>Experience with analyzing and troubleshooting on-premise and cloud systems.</li><li>Previous experience with Agile delivery frameworks (e.g. Scrum, Kanban).</li></ul>Preferred requirements:<ul><li>Advanced degree</li><li>Previous experience with hosting and network solutions.</li><li>Previous experience with programming and SDLC lifecycle in at least two of the following: Python, Java, C#, JavaScript, TypeScript, Go, C, C++, etc. will be considered a plus.</li><li>Experience with Relational and Non-Relational databases.</li><li>Hands-on experience with ServiceNow or similar, ITSM workflows, and CMDB integrations.</li><li>Proven ability to work effectively with cross-functional teams, including developers, QA, operations, and product management.</li><li>Aptitude for mentoring less experienced team members and providing guidance on best practices, even without direct management responsibilities.</li><li>Ability to quickly learn and adapt to new tools and technologies as needed.</li><li>Expertise in designing and maintaining automated build, test, and deployment systems.</li><li>Familiarity with modern architectural patterns, including microservices and serverless architectures.</li><li>Systematic problem-solving approach, coupled with effective communication skills and a sense of drive.</li><li>Previous work in highly regulated environments with security and compliance considerations.</li><li>Experience working in globally distributed teams with cross-functional collaboration.</li></ul>Work Location Assignment:&nbsp;Hybrid

1397 – Manager, Site Reliability Engineer

Our client’s&nbsp;Digital Quality (DQ) Solution Center delivers advanced solutions that revolutionize Quality, Safety and Environmental Operations within Pfizer Global Supply (PGS). The mission of the DQ Solution Center is to empower and optimize the performance of Laboratory (QC), Quality Assurance (QA), and Environmental Health &amp; Safety (EHS) organizations through the automation and implementation of innovative technologies, with a focus on continuous improvement and excellence. Their team philosophy is “Do good work” and as per Pfizer’s Purpose Blueprint, “Win the Digital Race in Pharma.”The Sr Associate, QA Solution Owner is responsible for co-leading an agile development team along with a Lead Product Owner to define and prioritize features along with developing user stories for the Veeva eQMS Solution.They will work within the eQMS team to help develop the technical strategy for moving the solution towards this vision. The colleague must have a strong CI and Innovative mindset and be comfortable taking appropriate risks to achieve desired results and drive the adoption of new technologies and processes for the solution.ROLE RESPONSIBILITIESThe Sr Associate, QA Solution Owner&nbsp;responsibilities include but are not limited to:<ul><li>Support Lead Product Owners for a new or existing eQMS module(s).</li><li>Lead coordination, documentation, refinement and communication with/for Lead PO on requirements from sites</li><li>Support Lead PO to gather business requirements. Capture both functional and non-functional requirements in a use case.</li><li>Support PO in serving as solution SME for sites and stakeholder conversations</li><li>Support PO to maintain and prioritize team user story, enabler &amp; defect backlog</li><li>Collaborate with the QA Technical leads to assess technology capabilities and architecture requirements in support of Lead PO</li><li>Collaborate and set expectations with business, scrum master and development team in support of Lead PO</li><li>Collaborate with Deployment lead on pre-deployment &amp; business alignment activities for the eQMS Solution in support of Lead PO</li><li>Collaborate with Analytics and Reporting team to align requirements</li><li>Demonstrate and promote agile ways of working</li><li>Conduct all activities and make decisions that are in accordance with Company policies &amp; SOPs, Pfizer Values, FDA &amp; global regulatory guidelines (including cGMP/cGLP/cGCP), environmental guidelines, as appropriate and where applicable etc.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s BS in Information Technology, Engineering or related discipline.</li><li>2+ years of project management experience</li><li>Experience with Agile, (SAFe preferred)</li><li>Strong written and communication skills with the ability to effectively communicate to colleagues at all levels including executive levels</li><li>Experience in all stages of system and application lifecycle from value analysis, business case development, solution deployment through value realization</li><li>A basic understanding of system GMP requirements and demonstrable knowledge of computer system design and maintenance lifecycle in GMP environments.</li><li>Experience in MS Office Products (i.e. MS Word, Excel, PowerPoint, Access)</li></ul>PREFERRED QUALIFICATIONS<ul><li>Knowledge of the Veeva Platform</li><li>Knowledge of agile tools (i.e. Jira)</li></ul>NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTSAbility to travel up to 20%.&nbsp;Ability to meet with colleagues virtually across different regions and time zonesWork Location Assignment:&nbsp;Hybrid

1394 & 1395 – Sr Associate, QA Solution Owner

The Scientific Computing Cloud Engineer will be responsible for developing and deploying supercomputing solutions in AWS supporting R&amp;D, Clinical, and Manufacturing teams globally. The successful candidate will be the primary High-Performance Computing (HPC) Cloud engineer. This role requires a deep understanding of both on-premises and cloud-based HPC systems, as well as strong project management skills. The ideal candidate will have a background in life sciences and computer science, with a focus on supporting computational biology applications and AWS engineering.Key Responsibilities<ul><li>Develop and deploy automated HPC workloads and workflows using AWS cloud services, including Parallel Cluster, FSx for Lustre, Batch, Terraform,&nbsp;&nbsp;and Cloud Formation.</li><li>Manage high-performance parallel file systems such as Weka, understanding data and storage workflows, movement, tiering, and tracking.</li><li>Act as the HPC data steward, ensuring data integrity and efficient data management practices.</li><li>Design, implement, and manage cost effective on-premises and HPC Cloud systems, including job schedulers (e.g., Slurm) and cluster management tools (e.g., Linux scripting,&nbsp;Ansible).</li><li>Architect and design HPC hardware and networking solutions, providing system troubleshooting and support for on-premises systems.</li><li>Develop and maintain web portals and sites to facilitate HPC resource access and management.</li><li>Lead and manage projects, ensuring timely and successful delivery of HPC solutions.</li><li>Collaborate with cross-functional teams to align HPC strategies with organizational goals.</li><li>Provide technical leadership and mentorship to junior engineers and team members</li><li>Document, train, and educate users on best practices. Level 3 engineering support for most challenging technical issues.</li><li>In this role, you will also be responsible for promoting a culture of excellence within the HPC team, fostering collaboration, innovation, and continuous improvement.</li></ul>QualificationsBasic Qualifications:<ul><li>Bachelor’s degree (BA/BS) in Computer Science, Engineering, Life Sciences, or a related field.</li><li>7+ years of professional experience, with a significant portion of that time spent in HPC, cloud engineering, or a related discipline.</li><li>Proven ability to understand and manage data and storage workflows, movement, tiering, and tracking.</li><li>Experience with on-premises and Cloud HPC systems, including job schedulers (e.g., Slurm) and HPC tools (e.g., Linux administration, Ansible,&nbsp;AWS Batch).</li><li>Strong understanding of cluster architecture, design, HPC hardware, and networking.</li><li>Excellent system troubleshooting and support skills for HPC Cloud systems.</li><li>Experience in supporting, deploying, and managing scientific applications (Linux/Windows)</li><li>Strong project management skills, with the ability to lead and manage complex technical projects.</li><li>Advanced certifications in AWS cloud services or HPC technologies.</li></ul>Preferred Qualifications:<ul><li>Advanced degree in Computational Biology, Computer Science, or a related field.</li><li>Extensive experience with AWS cloud services, particularly HPC services such as ParallelCluster,&nbsp;FSx&nbsp;for Lustre, Batch, AWS PCS, Terraform, and CloudFormation.</li><li>Experience with high-performance parallel file systems like Weka, storage gateway, data sync.</li><li>Experience in the life sciences field, particularly in computational biology.</li><li>Familiarity with a variety of programming languages and tools used in high-performance computing, such as Python,&nbsp;Java, C++, MPI, R, R Studio, Jupyter Hub, Docker/Singularity and Spack.</li><li>Excellent communication skills, with the ability to effectively convey technical information to a variety of audiences.</li></ul>

1372 – Sr. Manager, Scientific Computing Cloud Engineer

The IAS Team seeks a Senior Platform DevSecOps Engineer who will be responsible for supporting a portfolio of AI platforms focused on delivering conversational AI and language translation capabilities to Pfizer. As an Platform DevSecOps Engineer you will play a critical role in ensuring the security, reliability, and efficiency of their AI and machine learning products and platforms. You will work closely with their development, security, and operations teams to integrate security practices into every stage of the software development lifecycle. Your expertise will help them build and maintain robust, scalable, and secure AI Products.ROLE RESPONSIBILITIESThe Senior Platform DevSecOps engineer&nbsp;colleague’s responsibilities include but are not limited to:<ul><li>Support and Administration of key platforms related to Conversational AI and Language Translation capabilities</li><li>Lead lifecycle management activities related to upgrades, patches, hardware scaling and retirement</li><li>Foster a culture of continuous improvements across the CI/CD environment with integrated security practices.</li><li>Implement and maintain DevSecOps practices to ensure security is integrated into the CI/CD pipeline.</li><li>Automate security testing and vulnerability assessments within the development process.</li><li>Collaborate with development teams to design and implement secure coding practices.</li><li>Design, deploy, and manage secure cloud infrastructure for AI and machine learning applications.</li><li>Implement and manage security controls, such as firewalls, intrusion detection/prevention systems, and encryption.</li><li>Monitor and respond to security incidents and vulnerabilities in a timely manner.</li><li>Develop and maintain security policies, procedures, and documentation.</li><li>Work closely with cross-functional teams to assist in hosting and deploy AI and ML based products, pipelines and API services into Dev, Stage and Production.</li><li>Provide training and guidance to AI development and operations teams on DevSecOps best practices.</li><li>Continuously evaluate and improve security processes and tools.</li><li>Participate in incident response and post-mortem analysis to identify and address root causes.</li></ul>BASIC QUALIFICATIONS&nbsp;​<ul><li>BSc degree in Computer Science or Engineering is required. MSc is preferred.</li><li>7+ years of experience in deploying enterprise software solutions in private cloud environments or public cloud providers&nbsp;preferably AWS &amp; Azure as well as familiar with cloud architecture frameworks on AWS /Azure /GCP.</li><li>Familiar with AWS services Fargate /Lambda/Dynamo DB/EC2/S3).</li><li>Experience in building and managing production services using Kubernetes and Docker.</li><li>Proficient understanding of code versioning tools such as GIT.</li><li>Has owned systems and managed development of end-to-end applications.</li><li>Experience with production deployments of complex systems.</li><li>Experience with IaC tools like Terraform and Cloud Formation.</li><li>Basic Knowledge with generative AI services offered by several providers like AWS /Azure/GCP.</li><li>Experience with an industry accepted structured software development life cycle methodology.</li><li>Experience in supporting the development of complex software products including the deployment of multiple versions / releases of a large product.</li><li>Ability to contribute to technical specifications and technical design documentation for the software development team.</li><li>Familiar with ITIL framework.</li><li>Experience with monitoring tools like (Grafana /Dynatrace).</li><li>Experience with working in teams to address software defect analysis, troubleshooting, and resolution.</li><li>Proven ability in performance testing and optimization of developed source code for an enterprise business application.</li><li>Proven ability to work collaboratively with the software development team while driving software improvements.</li><li>Candidate must be an excellent communicator.</li></ul>GENERAL SKILLS REQUIREMENTSAdvisor/Consultancy:&nbsp;Provides well-informed advice, typically within a specific technical specialization, ensuring that it is properly understood and appropriately exploited, to enhance the effectiveness of significant activities.&nbsp;Provides advice on technical aspects of Conversational UI and ensures that relevant technical strategies, policies, standards and practices are applied correctly.Technical Acumen:&nbsp;Maintains knowledge of specific technologies provides detailed advice regarding their application, executes specialized tasks.Thought Leadership &amp; Advocacy:&nbsp;Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI and Conversational UIPresentation Skills:&nbsp;Ability to develop visually simple and appealing PowerPoint presentations and be comfortable with articulating and communicating with the right authority and messaging to a broad range of stakeholdersWork Location Assignment:&nbsp;Hybrid

1388 – Senior Manager, Platform DevSecOps Engineer

Currently, we are looking for a&nbsp;Team Leader&nbsp;to join the team. More specifically you will be involved in all development activities that range from coding to deployment within a dedicated team of developers of modern enterprise applications.Qualifications:<ul><li>at least&nbsp;7 years of technical background, preferably in .NET programming</li><li>2+ years of experience in managing a team, providing technical guidance and solutions to the team</li><li>Knowledge of C#, .NET Framework, and .NET Core</li><li>Knowledge of Angular&nbsp;would be considered a plus</li><li>Knowledge of Relational Databases</li><li>Understanding of MS SQL Server development, database structures and web server architecture</li><li>Familiarity with Oracle Databases would be considered a plus</li><li>Fluency in English (writing/reading/speaking)</li><li>Good communication skills, team spirit and self-motivation</li><li>Great time management, organizational, and multitasking skills</li></ul>Let’s talk about us:<ul><li>Hybrid working model</li><li>A competitive salary</li><li>Signing Bonus</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies’ development</li><li>Continuous learning &amp; development experience based on infinity model through Code.Hub’s Code.Learn</li><li>L&amp;D plan for your career improvement</li><li>A truly open, inclusive, and competitive-free environment to grow your skills and have fun</li><li>Internal competitions &amp; rewards</li></ul>Let’s talk about Code.Hub-ers:<ul><li>You are eligible to free LinkedIn trainings</li><li>You are eligible to have free pass to all training Code.Learn activities after 6 months from your induction</li><li>Training &amp; Tech Mentor for your induction</li><li>Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College</li><li>Private Health Insurance</li><li>Performance planning each six months and each two years planning of promotion</li><li>Free Lunch/Snack every day &amp; Cocktail Fridays @ our offices</li><li>Referral Bonus.</li></ul>

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