89469 Jobs in Hyderabad - Page 4

DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Job description Hiring for Java full stack developer with experience range 3 to 5 years Mandatory Skills: Java, react Education: BE/B.Tech/MCA/M.Tech/MSc./MS Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Key duties and responsibilities Review and sign off NAV and Financials of the Private equity and Hybrid Funds that include recording Journal Entries, preparing monthly/Quarterly/Annual Financials, processing payments, preparing investor notices and various client reporting. Review Capital Call and distribution workings along with notices and release to respective investors Handle migration of Hybrid and PERE Funds from onshore location independently and ensure SLAtargets are met. Identify and implement process improvement techniques to improve the process efficiency and team productivity. Managing the client relationships for the Funds and individually handle the deliverable requirements on daily/weekly/monthly/Quarterly basis. Liaising with Onshore team, clients and Auditors on various requirements and ensure all supports are provided to the auditors to get the financials approved on the agreed timeline. Liaising with multiple stake holders in the organization and ensure the tight deadlines are met. Onboard new PE/Hybrid Funds in the accounting platforms (Investran, Geneva and eFront). Manage end execute conversion of Private Equity Funds from other accounting applications to eFront Develop customized reports in Investran/eFront to support the client requirements. Understand and complete adhoc requests from clients Skills Required Relevant Experience – Minimum 5 years of experience preferably into PERE and Hybrid Funds Good experience working on Investran, eFront and Macro enabled workbooks. Experience in handling audit requirements and ad hoc client requirements in Fund accounting. Good conceptual knowledge in accounting principles and financial statement preparation. Good Experience in handling the client relationships and should be good in written and oral communication Worked on onboarding new clients and develop reporting templates for the Good work experience in Bank debt and loan debt instruments with other Private equity clients instruments Experience in Transition of PERE and Hybrid Funds from onshore locations. Experience working in Fund Accounting, NAV calculation and Financial Statement preparation of Private Equity/Real Estate/Hybrid Funds Graduate or Post graduate in Commerce, MBA Finance, CA/CMA DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Title: Sr. DBA Location: Chennai/Bangalore/Hyderabad/Pune/Vadodara Senior DBA (7 - 12 years) MongoDB Atlas Architecture Schema & Data Modeling Security & Compliance Performance Tuning & Monitoring Collaboration & Change Support

1.Greeting & Answering calls & provide Information to callers Greeting each call and provide directions to visitors attempting to locate the mall. Provide information about mall, or related events to visitors Be aware of main contacts for various departments 2. Cleanliness Ensure wipe down of the info desk counter, telephone and desk each time you arrive to work Report large cleaning needs to housekeeping/ facility Manager 3.Assisting visitors In providing directions within the mall Take care of visitors with special needs. Take care of visitors like you would want like to be taken care of as a visitor 4. Assistance with lost and found items Place items that have been turned in into correct lost and found location. Retrieve items that have been turned in from correct lost and found location

Role & responsibilities 4 to 6 years of experience 1- 2 End to End Implementation specially manufacturing Hands on with Hana and FIORI Strong knowledge in Purchasing, Inventory Management, Pricing Procedure, AAD and LIV is mandatory Strong knowledge of SAP Materials Management fundamentals and needs to have Clear understanding of Procure-to-pay cycle, PO/PR Release Strategy, External Services Management, Contracts, Master Data, Message Output, Price Determination and Special Procurement processes. Preferences: - Good Communication Skills Played Client facing role in prior projects Dynamic, Proactive and Flexible Attitude Ability to take ownership of responsibilities shared and independently handle the respective module Show willingness to learn and indicate genuineness in unfamiliar concepts/scenarios Must be able to work independently as well as a team player and can manage own workload. Able to Multi-task and work under tight deadlines

The role is responsible for leading and charting the course for the Law and Compliance technology services team that builds and transforms technology capabilities that positively impacts business outcomes. This individual will be responsible for developing and leading a very hardworking team that is built for delivering high-end and innovative technologies. The ideal candidate will have a proven track record of leadership in technology-driven environments for the Law and Compliance functions and has a passion for fostering innovation and excellence in the biotechnology industry. Additionally, collaboration with multi-functional and global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong background in Law and Compliance technologies, coupled with leadership and transformation experience. This role demands the ability to drive and deliver against key organizational pivotal initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Maintain strategic relationships and strong communication with the leadership team about technology services and service roadmaps to ensure that all the team members feel informed and engaged Lead and manage diverse teams within a matrixed organization Collaborate with geographically dispersed teams, including those in the US and other international locations Follow global standards and practices Foster a culture of collaboration, innovation, and continuous improvement Attract and recruit top talent as part of an extensive Technology organization to be hired within India Develop talent, motivate the team, delegate effectively, champion diversity within the team and act as a role model of servant leadership Responsible for managing, growing, and developing the Amgen Technology team in India, ensuring global ways of working are imbedded in the local organization Understand the decision-making process, workflows, and business and information needs of business partners and team members Contribute to and define business outcomes, requirements, technology solutions, and services Improve activities being measured by crafting, monitoring, and optimizing relevant feedback loops through 'test & learn' activities Work with Product Owners, Service Owners and/or delivery teams to ensure that delivery matches commitments, acting as a partner concern point and facilitating communication when service commitments are not met Ensure communication of key performance metrics and analysis of unmet needs Participate in partner and other leadership meetings, working with other parts of the organization, and functional groups to ensure successful delivery Ensure ongoing alignment with strategy, compliance, and regulatory requirements for technology investments and services Facilitate standard process sharing, ensuring ongoing alignment with the Technology & Digital strategy Ensure alignment of Technology service plans across organization Provide education to new partners with regards to IT service offerings Basic Qualifications: Masters degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR Bachelors degree with 10 - 14 years of experience in Business, Engineering, IT or related field OR Diploma with 14 - 18 years of experience in Business, Engineering, IT or related field Demonstrated experience in managing technology initiatives and teams with a track record of successful innovation Experience in people management and leading matrixed teams, and passion for mentorship, culture and fostering the development of talent Strong background as a hands-on individual contributor with the ability to dive into technical work while managing team results and performance Must be flexible and able to manage multiple activities and priorities with minimal direction in a rapidly changing and demanding environment Exceptional collaboration, communication and interpersonal skills to effectively manage partner relationships and build new partnerships Experience in applying technology standard process methodologies: Scaled Agile (SAFe), ITIL, etc. Experience supporting legal and compliance domains, with experience supporting applications such as Matter Management, eBilling, Intellectual Property & Trademark Management, Contract Lifecycle Management, Privacy, and Transparency systems Analytical mentality with strong problem-solving skills and a continuous improvement approach Solid experience providing run support and operational excellence for business-critical application portfolios Ability to prioritize and manage work across multiple applications, ensuring timely resolution of issues and high customer satisfaction Hands-on experience working in an Agile environment, actively participating in Agile ceremonies including sprint planning, daily stand-ups, retrospectives, and reviews Experience overseeing end-to-end delivery of projects, including enhancements, upgrades, and implementation of new technologies or platforms Ability to mentor and develop team members, support career development, and foster a collaborative team environment Strong technical background, having previously worked as a Software Engineer, Solution Architect, or in a comparable technical role with a deep understanding of software development and system architecture Preferred Qualifications: Experience in a leadership role within a pharmaceutical or technology organization Extensive experience in the software development lifecycle Experience using and adoption of Scaled Agile Framework (SAFe) Established business partnerships and IS governance practices involving senior business partners Broad working knowledge of key IS domains and layers Demonstrated experience working with cloud platforms such as AWS and/or Azure, including application deployment, integration, and infrastructure support Familiarity with cloud security, compliance standards, and cost optimization best practices within cloud environments

We are seeking an accomplished and visionary Data Scientist/ GenAI Lead to join Amgens Enterprise Data Management team. As MDM Data Science/Manager, you will lead the design, development, and deployment of Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Drive development of enterprise-level GenAI applications using LLM frameworks such as Langchain, Autogen, and Hugging Face. Architect intelligent pipelines using PySpark, TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models andmanage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Masters degree with 8 - 10 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelors degree with 10 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 14 - 16 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 10+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain, Autogen, Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python, PySpark, and experience in building scalable solutions using TensorFlow, PyTorch, and SK-Learn. Proven track record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI, and DataBricks. Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI, Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores, and modern architecture principles for scalable GenAI applications. Professional Certifications : Any ETL certification (e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

The Database and Edit Check UAT Tester role is responsible for performing database UAT testing, maintaining database testing documentation, developing edit check test specifications, and conducting UAT for edit checks. This role requires close attention to detail and collaboration with other groups to ensure the accuracy and efficiency of our data management databases and edit checks. Roles & Responsibilities: Perform database testing to ensure the integrity and accuracy of data. Maintain comprehensive database testing documentation. Develop detailed edit check test specifications. Conduct UAT for edit checks to ensure they meet the required standards. Communicate and call out day-to-day issues and risks regarding the area of work. Assist with preparation for inspections and provide responses to questions and findings from regulatory authorities and other audits. Participate in data management and cross-functional working groups, including global network representation. Promote and advocate for data management standard methodologies internally and externally. Basic Qualifications & Experience: Masters degree and 3 to 4 years of life science, computer science, business administration or related discipline or equivalent experience OR Bachelors degree and 5 to 6 years of [life science, computer science, business administration or related discipline or equivalent experience OR Diploma and 9 to 10 years of [Job Codes Discipline and/or Sub-Discipline] experience General biopharmaceutical clinical research experience (clinical research experience obtained working on clinical trials at a biotech, pharmaceutical or clinical research organization (CRO) company) Preferred Qualifications Must-Have Skills: Proficiency in database testing and edit check UAT Familiarity with testing and validation plans Proficient in testing documentation standard methodologies Knowledge of Good Clinical Practice Understanding of clinical data management processes Good-to-Have Skills: Familiarity with electronic data capture (EDC) systems and data management plans (DMP). Familiarity in inspection readiness Familiarity of database audit trails Familiarity of Trial Master Files Soft Skills: Excellent communication and collaboration skills. Detail-oriented with strong analytical and problem-solving abilities. Ability to work independently and as part of a team.

We are seeking a seasoned Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. You will be responsible for the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs. Roles & Responsibilities: Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems. Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets. Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments. Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements. Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows. Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls. Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis. Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives. Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes. Mentor and develop a high-performing team of data operations analysts and leads. Functional Skills: Must-Have Skills: Experience managing a team of data engineers in biotech/pharma domain companies. Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems. Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions. Experience managing data workflows in cloud environments such as AWS, Azure, or GCP. Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions. Working knowledge of SQL, Python, or scripting languages for process monitoring and automation. Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization. Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX). Excellent leadership, communication, and stakeholder engagement skills. Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools. Strong analytical and problem-solving skills to address complex data challenges. Effective communication and interpersonal skills to collaborate with cross-functional teams. Good-to-Have Skills: Data Engineering Management experience in Biotech/Life Sciences/Pharma Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc. Education and Professional Certifications Doctorate Degree with 3-5 + years of experience in Computer Science, IT or related field OR Masters degree with 6 - 8 + years of experience in Computer Science, IT or related field OR Bachelors degree with 10 - 12 + years of experience in Computer Science, IT or related field AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

Our client is leading Service and Consulting Organization Python Automation Test Engineers Mandate Skills: Automation testing, Selenium , API Testing , Python, Pytest and Robot Framework Job Description for Automation Testing Python: 3+ years of experience in software testing or development with good understanding of testing, coding and debugging procedures Experience in programming using Python (Must) Very good experience on automation framework design and development using python Very good experience on Selenium, TestNG, maven, Graddle Very good experience on pycharm Very good exposure to API Testing and automation with experience on using advanced tools Experience on CICD setup using Jenkin and Gitlab Should have good experience on TestDesign, Test Plan, Test Case Creation and Test Execution as per User Story Acceptance criteria Experience working with SOAP and REST service and understanding of SOA architecture Experience of SQL/PL-SQL, writing SQL queries, stored procedures and RDBMS Experience in design and development of automated tests using automation tools (e.g. Selenium, Appium) with exposure in testing across the application layers (UI/Service/Data layers/Mobile) Experience in advising team to identify automatable test cases at different layers (UI, Services and Data layer tests). Ability to working with developers to build automation/performance friendly code is a plus.

Job Title: EHS Manager Location: Medchal, Hyderabad Industry: Precious Metal Recycling Job Summary: We are seeking an experienced EHS Manager to lead Environment, Health, and Safety initiatives at our metal recycling plant in Medchal. The ideal candidate will ensure regulatory compliance, drive a strong safety culture, and implement best practices to minimize risk and environmental impact. Key Responsibilities: Develop and enforce EHS policies and procedures in line with legal and company standards Conduct regular safety audits, risk assessments, and inspections Oversee waste management, pollution control, and sustainability initiatives Lead incident investigations and drive corrective actions Train employees on EHS practices and emergency preparedness Liaise with local authorities and regulatory bodies Qualifications: Bachelors degree in Environmental Science, Industrial Safety, or related field Minimum 7 years of EHS experience in manufacturing or metal industries Strong knowledge of environmental and safety laws (CPCB, SPCB, Factory Act, etc.) Certifications like NEBOSH/ADIS are preferred Key Skills: Risk assessment & mitigation Incident investigation Compliance & reporting Leadership & communication

The Sr Associate IS Bus Sys Analyst leverages domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This role involves working closely with developers and business analysts to ensure that the technical requirements for upcoming development are thoroughly elaborated. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will collaborate with Product Managers and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. Roles & Responsibilities: Collaborate with System Architects and Product Managers to manage business analysis activities, ensuring alignment with engineering and product goals. Capture the voice of the customer to define business processes and product needs. Work with Product Managers and customers to define scope and value for new developments. Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog. Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs. Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team. Clearly express features in User Stories/requirements so all team members and stakeholders understand how they fit into the product backlog. Ensure Acceptance Criteria and Definition of Done are well-defined. Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs. Stay focused on software development to ensure it meets requirements, providing proactive feedback to stakeholders. Develop and execute effective product demonstrations for internal and external stakeholders. Maintain accurate documentation of configurations, processes, and changes. Basic Qualifications and Experience: Masters degree and 1 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience Functional Skills: Must-Have Skills: Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology. Experience with Agile software development methodologies (Scrum). Excellent communication skills and the ability to interface with senior leadership with confidence and clarity. Experience in writing requirements for the development of modern web applications. Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA. Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs. Understanding of scientific software systems strategy, governance, and infrastructure. Experience in managing product features for PI planning and developing product roadmaps and user journeys. Familiarity with low-code, no-code test automation software. Technical thought leadership. Able to communicate technical or complex subject matters in business terms. Jira Align experience. Knowledge of network security protocols and tools (e.g., IPSEC, SSL, IDS/IPS, firewalls). Experience with DevOps, Continuous Integration, and Continuous Delivery methodology. Professional Certifications: SAFe for Teams certification (preferred). Soft Skills: Able to work under minimal supervision. Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work. Excellent analytical and gap/fit assessment skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

What you will do In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data deliver actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and driving data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills and provides administration support for Master Data Management (MDM) and Data Quality platform, including solution architecture, inbound/outbound data integration (ETL), Data Quality (DQ), and maintenance/tuning of match rules. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Collaborate and communicate with MDM Developers, Data Architects, Product teams, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to standard processes for coding, testing, and designing reusable code/component Participate in sprint planning meetings and provide estimations on technical implementation As a SME, work with the team on MDM related product installation, configuration, customization and optimization Responsible for the understanding, documentation, maintenance, and additional creation of master data related data-models (conceptual, logical, and physical) and database structures Review technical model specifications and participate in data quality testing Collaborate with Data Quality & Governance Analyst and Data Governance Organization to monitor and preserve the master data quality Create and maintain system specific master data data-dictionaries for domains in scope Architect MDM Solutions, including data modeling and data source integrations from proof-of-concept through development and delivery Develop the architectural design for Master Data Management domain development, base object integration to other systems and general solutions as related to Master Data Management Develop and deliver solutions individually or as part of a development team Approves code reviews and technical work Maintains compliance with change control, SDLC and development standards Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Basic Qualifications: Masters degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelors degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience. Preferred Qualifications: Expertise in architecting and designing Master Data Management (MDM) solutions. Practical experience with AWS Cloud, Databricks, Apache Spark, workflow orchestration, and optimizing big data processing performance. Familiarity with enterprise source systems and consumer systems for master and reference data, such as CRM, ERP, and Data Warehouse/Business Intelligence. At least 2 to 3 years of experience as an MDM developer using Informatica MDM or Reltio MDM, along with strong proficiency in SQL. Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development. Good understanding of data modeling, data warehousing, and data integration concepts. Experience with development using Python, React JS, cloud data platforms. Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments). Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

What you will do In this vital role will be responsible for the day-to-day administration, maintenance, and support of the ServiceNow platform, focusing on self-service automation modules. Your role will primarily involve request fulfillment, incident response, platform maintenance, and general system administration duties. While this is primarily an administrative role, you will also assist with junior development tasks such as creating workflows, solving issues, and performing application configurations. You will work closely with internal collaborators to ensure that self-service solutions, such as Employee Center Pro, Knowledge Management (KM), and Virtual Agent, are operating smoothly and meeting business needs. Roles & Responsibilities: Provide day-to-day administrative support for the ServiceNow platform, including Employee Center Pro/Service Portal, Knowledge Management (KM), and Virtual Agent Fulfill service requests, ensuring timely and accurate delivery of solutions to meet user needs Respond to and resolve incidents related to self-service automation, ensuring minimal downtime and disruption Perform routine maintenance tasks, including patching, platform upgrades, and system health monitoring Assist in developing and maintaining knowledge articles within the Knowledge Management module to improve user self-help capabilities Support customization and configuration of ServiceNow features such as forms, fields, workflows, and notifications Perform fix of platform issues and collaborate with senior developers or platform owners for advanced issue resolution Assist with the setup, configuration, and management of Virtual Agent for automated workflows Monitor platform performance and usage, identifying areas for improvement and making recommendations to optimize system efficiency Ensure the platform adheres to role-based access control (RBAC) and security protocols Collaborate with end users to gather feedback on the self-service automation experience and implement necessary adjustments Provide general support for UI workspace and mobile application usage related to self-service automation, troubleshooting minor issues as needed Create and maintain detailed documentation for platform changes, updates, and administrative processes for future reference and knowledge sharing Stay up to date with the latest ServiceNow releases, best practices, and technologies to continuously improve the self-service platform Basic Qualifications: Masters degree with a 1 - 3 years of experience in Computer Science, IT or related field OR Bachelors degree with 3 - 5 years of experience in Computer Science, IT or related field OR Diploma with 7-9 years of experience in Computer Science, IT or related field Must-Have Skills: ServiceNow Administration: Familiarity with configuring and maintaining Employee Center Pro, Service Portal, and other self-service modules within ServiceNow, including user roles, access control, and portal pages. Automation & Workflow Configuration: Experience with automation tools like Flow Designer for creating workflows to enhance self-service capabilities and streamline common tasks. Knowledge Management (KM) Setup: Understanding of Knowledge Management fundamentals, including creating, categorizing, and maintaining knowledge articles, and configuring knowledge base permissions. Virtual Agent & Mobile App Configuration: Ability to configure and manage ServiceNows Virtual Agent and Now Assist generative AI for automated interactions, as well as setup and support of mobile apps for accessing services on the go. Good-to-Have Skills: Service Portal Customization: Knowledge of HTML, CSS, and JavaScript to make minor customizations to Service Portal and Employee Center Pro for a better user experience. Performance Analytics (PA) Reporting: Understanding of Performance Analytics to create reports and dashboards that track self-service performance and user satisfaction. Scripting Fundamentals: Exposure to JavaScript and Glide scripting for minor customizations and troubleshooting within the platform. Mobile & Virtual Agent Best Practices: Awareness of best practices for mobile app configuration and chatbot (Virtual Agent/GPT) optimization to improve responsiveness and engagement. Professional Certifications (please mention if the certification is preferred or required for the role): ServiceNow Certified System Administrator (Preferred) ServiceNow Certified Application Developer (Preferred) ServiceNow Certified Implementation Specialist (CIS) micro-certifications in Service Portal, Performance Analytics or Virtual Agent (preferred) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

What you will do In this vital role you will be a member of the Transformation Analytics team, supporting Amgens Technology & Workforce Strategy. We are seeking a highly motivated leader who will maximise financial and data analytics with critical thinking to enable enterprise-wide workforce transformation by connecting data across our people, finances and capabilities to enable business insights and decisions. In this role, you will lead and supervise an Analytics pod consisting of 1-3 junior resources. You will be responsible to deliver critical analytics and insights throughout the value journey, including developing resource, financial and capability baselines, developing taxonomies, analytics data packs, business cases, value confirmation and value realization. In addition, you will collaborate with our Technology teams to support ongoing automation and continuous improvement. Ultimately, you will lead a team that will enable development of a sustainable platform for ongoing transformation. The ideal candidate will leverage their analytical acumen to challenge the status quo, drive continuous improvement, and embed digital ways of working into our end-to-end processes. Team Leadership : Lead a small pod of 1-3 analysts to support key deliverables below Lead development of deliverables for workforce strategy : Lead team to deliver financial and data analyses across baselining, case, value confirmation, value extraction and value realization. Collaborate with cross-functional global teams to ensure accurate analytics and insights delivery operating in the "following-the-sun" model Activity-Based Cost Analysis : Lead analyses of total workforce spend and allocation. Recommend strategic cost-saving initiatives and optimizations based on analysis findings. Vendor Analysis : Lead evaluation of vendor performance and impact on organizational efficiency. Develop strategies for vendor optimization and cost management. Opportunity Analysis : Lead identifying and prioritizing areas of opportunity across the organization. Collaborate with cross-functional teams to implement organizational improvements. System Updates & Scenario Modeling : Lead teams in integrating data across multiple systems and functions, to help optimize data and financial models that support key processes across the value journey of our transformation. Help ensure central systems and scenario modeling tools are updated with accurate data and assumptions. Lead the development of new modeling tools to enhance predictive capabilities. External Market Analysis : Direct the analysis of external market trends and their impact on workforce strategy. Provide strategic recommendations based on market insights to drive organizational competitiveness. Job Responsibilities: Supervise small team focused on the development of comprehensive resource and financial analyses for Tech and workforce strategy program Lead reporting of insights on Tech & Workforce Strategy program Manage creation of complex cases, incorporating multiple data sources Manage data validation of the Value Confirmation analysis, review executive summary outputs Direct teams in identifying and reconciling deviations from the approved case Lead analysis efforts to optimize workforce and resource allocation, driving efficiency across the business Lead development of models for long-term planning and decision-making, ensuring strategic alignment Facilitate data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives Provide guidance for design and implementation of automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate with existing systems Collaborate with cross-functional global teams to ensure accurate insights delivery, operating in the "following-the-sun" model Interact with various finance and resource planning groups across Amgen to understand impact to budget/long range plans Influence cross-functional partners to demonstrate single source of truth of transformation data being built in OPI&A (Organization planning, insights & analytics) Basic Qualifications: Doctorate degree and 2 years of Data Analytics / Finance experience OR Masters degree and 8 to 10 years of applicable experience OR Bachelors degree and 10 to 14 years of data science, finance, business, statistics, applied mathematics, business analytics, engineering, computer science or related field experience OR Diploma and 14 to 18 years of Data Analytics, Science & Technology Management or Finance experience 4+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Leader who can connect the dots across matrixed organization Proficiency in Microsoft Excel Passion for data exploration & visualization and building narratives to drive data-driven business transformation Intellectual curiosity, with ability to learn new concepts, and methods. Energy for applying technical skills to solving complex business problems with elegant data analyses and Digital Products Experience working in highly collaborative cross-functional environments Proficiency in financial modeling, data analytics and business intelligence tools Understanding of financial data and systems Preferred Qualifications: Masters degree in finance, data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field, or Chartered Accountant and 6-8 years of relevant experience in consulting and/or financial planning & analysis (MBA Preferred) Mastery of complex financial modeling (Excel) 4+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources Understanding of global Finance, HR & Procurement systems and data Understanding of HR/Procurement/Global Sourcing operations Experience in budgeting, forecasting, and strategic planning Understanding of impacts of business decisions to financial statements (P&L, B/S, Cash Flow) Understanding of / experience in the Bio-Pharmaceutical industry Business transformation experience involving recent technology advancements Prior multinational corporate experience (capability center or other) Experience with Oracles Hyperion/EPM, SAP, Anaplan, PowerBI / Tableau Familiar with scripting languages like SQL or Python, and AWS services like S3 and Redshift Experience with data analysis, data modeling, and data visualization solutions such as Tableau, Alteryx, Databricks, PowerBI Experience performing data analysis across one or more areas of the business to derive business logic for data integration Experience working with business partners to identify complex functionality and translate it into requirements Experience in preparing executive communication to include written and oral presentations. Experience in financial planning, analysis, and reporting, ERP systems and financial software Soft Skills: Effective communication and people skills. Elevated level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and lead change. Adaptability to a dynamic and challenging environment.

What you will do In this vital role you will support an ambitious program to evolve how Amgen does forecasting, moving from batch processes (e.g., sales forecasting to COGS forecast, clinical study forecasting) to a more continuous process. The hardworking professional we seek is curious by nature, organizationally and data savvy, with a strong record of Finance transformation, partner management and accomplishments in Finance, Accounting, or Procurement. This role will help redesign existing processes to incorporate Artificial Intelligence and Machine Learning capabilities to significantly reduce time and resources needed to build forecasts. As the Next Gen Forecasting Senior Associate at Amgen India, you will drive innovation and continuous improvement in Finances planning, reporting and data processes with a focus on maximizing current technologies and adapting new technologies where relevant. This individual will collaborate with cross-functional teams and support business objectives. This role reports directly to the Next Gen Forecasting Manager in Hyderabad, India. Roles & Responsibilities: Priorities can often change in a fast-paced technology environment like Amgens, so this role includes, but is not limited to, the following: Support implementation of real-time / continuous forecasting capabilities Establish baseline analyses, define current and future state using traditional approaches and emerging digital technologies Identify which areas would benefit most from automation / AI / ML Identify additional process / governance changes to move from batch to continuous forecasting Closely partner with Business, Accounting, FP&A, Technology and other impacted functions to define and implement proposed changes Partners with Amgen Technology function to support both existing and new finance platforms Partners with local and global teams on use cases for Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) Collaborate with cross-functional teams and Centers of Excellence globally to drive operational efficiency Contributes to a learning environment and enhances learning methodologies of technical tools where applicable. Serve as local financial systems and financial data subject matter expert, supporting local team with questions Supports global finance teams and business partners with centrally delivered financial reporting via tableau and other tools Supports local adoption of Anaplan for operating expense planning / tracking What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree and 1 to 3 years of Finance experience OR Bachelors degree and 3 to 5 years of Finance experience OR Diploma and 7 to 9 years of Finance experience Consistent record of launching new finance capabilities Proficiency in data analytics and business intelligence tools. Experience with finance reporting and planning system technologies Experience with technical support of financial platforms Knowledge of financial management and accounting principles. Experience with ERP systems Resourceful individual who can connect the dots across matrixed organization Preferred Qualifications: Experience in pharmaceutical and/or biotechnology industry. Experience in financial planning, analysis, and reporting. Experience with global finance operations. Knowledge of advanced financial modeling techniques. Business performance management Finance transformation experience involving recent technology advancements Prior multinational capability center experience Experience with Oracle Hyperion/EPM, S4/SAP, Anaplan, Tableau/PowerBI, DataBricks, Alteryx, data lakes, data structures Soft Skills: Excellent project management abilities. Strong communication and interpersonal skills. High level of integrity and ethical standards. Problem-solving and critical thinking capabilities. Ability to influence and motivate change. Adaptability to a dynamic and fast-paced environment. Strong organizational and time management skills

What you will do In this vital role you will be responsible for designing, building, and maintaining scalable, secure, and reliable AWS cloud infrastructure. This is a hands-on engineering role requiring deep expertise in Infrastructure as Code (IaC), automation, cloud networking, and security . The ideal candidate should have strong AWS knowledge and be capable of writing and maintaining Terraform, CloudFormation, and CI/CD pipelines to streamline cloud deployments. Please note, this is an onsite role based in Hyderabad. Roles & Responsibilities: AWS Infrastructure Design & Implementation Architect, implement, and manage highly available AWS cloud environments . Design VPCs, Subnets, Security Groups, and IAM policies to enforce security standard processes. Optimize AWS costs using reserved instances, savings plans, and auto-scaling . Infrastructure as Code (IaC) & Automation Develop, maintain, and enhance Terraform & CloudFormation templates for cloud provisioning. Automate deployment, scaling, and monitoring using AWS-native tools & scripting. Implement and manage CI/CD pipelines for infrastructure and application deployments. Cloud Security & Compliance Enforce standard processes in IAM, encryption, and network security. Ensure compliance with SOC2, ISO27001, and NIST standards. Implement AWS Security Hub, GuardDuty, and WAF for threat detection and response. Monitoring & Performance Optimization Set up AWS CloudWatch, Prometheus, Grafana, and logging solutions for proactive monitoring. Implement autoscaling, load balancing, and caching strategies for performance optimization. Solve cloud infrastructure issues and conduct root cause analysis. Collaboration & DevOps Practices Work closely with software engineers, SREs, and DevOps teams to support deployments. Maintain GitOps standard processes for cloud infrastructure versioning. Support on-call rotation for high-priority cloud incidents. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree and 4 to 6 years of experience in computer science, IT, or related field with hands-on cloud experience OR Bachelors degree and 6 to 8 years of experience in computer science, IT, or related field with hands-on cloud experience OR Diploma and 10 to 12 years of experience in computer science, IT, or related field with hands-on cloud experience Must-Have Skills: Deep hands-on experience with AWS (EC2, S3, RDS, Lambda, VPC, IAM, ECS/EKS, API Gateway, etc.) . Expertise in Terraform & CloudFormation for AWS infrastructure automation. Strong knowledge of AWS networking (VPC, Direct Connect, Transit Gateway, VPN, Route 53) . Experience with Linux administration, scripting (Python, Bash), and CI/CD tools (Jenkins, GitHub Actions, CodePipeline, etc.) . Strong troubleshooting and debugging skills in cloud networking, storage, and security . Preferred Qualifications: Good-to-Have Skills: Experience with Kubernetes (EKS) and service mesh architectures . Knowledge of AWS Lambda and event-driven architectures . Familiarity with AWS CDK, Ansible, or Packer for cloud automation. Exposure to multi-cloud environments (Azure, GCP) . Familiarity with HPC, DGX Cloud . Professional Certifications (preferred): AWS Certified Solutions Architect Associate or Professional AWS Certified DevOps Engineer Professional Terraform Associate Certification Soft Skills: Strong analytical and problem-solving skills. Ability to work effectively with global, virtual teams Effective communication and collaboration with cross-functional teams. Ability to work in a fast-paced, cloud-first environment.

What you will do In this vital role you will responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing. Be a key team member that assists in the design and development of the data pipeline. Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems. Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions. Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks. Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs. Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. Implement data security and privacy measures to protect sensitive data. Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. Collaborate and communicate effectively with product teams. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience Masters degree and 1 to 3 years of experience in Computer Science, IT, or related field OR Bachelors degree and 3 to 5 years of experience in Computer Science, IT, or related field OR Diploma and 7 to 9 years of experience in Computer Science, IT, or related field Must-Have Skills: Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing. Proficiency in data analysis tools (e.g., SQL) and experience with data visualization tools. Excellent problem-solving skills and the ability to work with large, complex datasets. Preferred Qualifications: Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development. Strong understanding of data modeling, data warehousing, and data integration concepts. Knowledge of Python/R, Databricks, SageMaker, cloud data platforms. Professional Certifications: Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments). Certified Data Scientist (preferred on Databricks or Cloud environments). Machine Learning Certification (preferred on Databricks or Cloud environments). Soft Skills: Excellent critical-thinking and problem-solving skills. Strong communication and collaboration skills. Demonstrated awareness of how to function in a team setting. Demonstrated presentation skills.

What you will do In this vital role you will be part Researchs Semantic Graph Team is seeking a qualified individual to design, build, and maintain solutions for scientific data that drive business decisions for Research. The successful candidate will construct scalable and high-performance data engineering solutions for extensive scientific datasets and collaborate with Research partners to address their data requirements. The ideal candidate should have experience in the pharmaceutical or biotech industry, leveraging their expertise in semantics, taxonomies, and linked data principles to ensure data harmonization and interoperability. Additionally, this individual should demonstrate robust technical skills, proficiency with data engineering technologies, and a thorough understanding of data architecture and ETL processes. Roles & Responsibilities: Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Develop and maintain semantic data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimize large datasets for query performance Collaborate with global multi-functional teams including research scientists to understand data requirements and design solutions that meet business needs Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve [complex] data-related challenges Adhere to standard processes for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Maintain comprehensive documentation of processes, systems, and solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. T Basic Qualifications and Experience: Doctorate Degree OR Masters degree with 2- 4years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 4- 6years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 7- 9 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications and Experience: 4+ years of experience in designing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills: Proficiency in SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks Hands on experience with data technologies and platforms, such as Databricks, workflow orchestration, performance tuning on big data processing. Excellent problem-solving skills and the ability to work with large, complex datasets Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Experience with system administration skills, such as managing Linux and Windows servers, configuring network infrastructure, and automating tasks with shell scripting. Examples include setting up and maintaining virtual machines, troubleshooting server issues, and ensuring data security through regular updates and backups. Solid understanding of data modeling, data warehousing, and data integration concepts Solid experience using RDBMS (e.g. Oracle, MySQL, SQL server, PostgreSQL) Knowledge of cloud data platforms (AWS preferred) Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming Experience writing and maintaining user documentation in Confluence Understanding of data governance frameworks, tools, and standard processes Professional Certifications: Databricks Certified Data Engineer Professional preferred Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills

What you will do In this vital role you will . The role demonstrates domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This role involves working closely with developers and business analysts to ensure that the technical requirements for upcoming development are thoroughly elaborated. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will collaborate with Product Managers and developers in the Hire to Retire or Human Resources (HR) capability to maintain an efficient and consistent process, ensuring quality deliverables from the team. Roles & Responsibilities: Collaborate with System Architects and Product Managers to manage business analysis activities, ensuring alignment with engineering and product goals Capture the voice of the customer to define business processes and product needs Work with Product Managers and customers to define scope and value for new developments Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team Clearly express features in User Stories/requirements so all team members and collaborators understand how they fit into the product backlog Ensure Acceptance Criteria and Definition of Done are well-defined Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs Stay focused on software development to ensure it meets requirements, providing proactive feedback to collaborators Develop and complete effective product demonstrations for internal and external collaborators Maintain accurate documentation of configurations, processes, and changes Basic Qualifications: Masters degree and 1 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience Workday Time and Workday Absence configuration experience.' Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology Experience with Agile software development methodologies (Scrum) Excellent communication skills and the ability to collaborate with senior leadership with confidence and clarity Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Preferred Qualifications: Demonstrated expertise in a scientific domain area and related technology needs with Human Resources area (preferred) Experience in managing product features for PI planning and developing product roadmaps and user journeys Familiarity with low-code, no-code test automation software Able to communicate technical or complex subject matters in business terms Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

The role is responsible for designing, developing, and maintaining software solutions for Research scientists. Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements scientific software platforms that enable the capture, analysis, storage, and reporting for our Large Molecule Discovery Research team (Design, Make, Test and Analyze processes). The team also interfaces heavily with teams supporting our in vitro assay management systems and our compound inventory platforms. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing). Roles & Responsibilities: Work closely with product team, business team including scientists, and other collaborators Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software Conduct code reviews to ensure code quality and adherence to standard methodologies Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently Stay updated with the latest technology and security trends and advancements What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: RMasters degree with 1 - 3 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 7 - 9 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications and Experience: 1+ years of experience in implementing and supporting biopharma scientific software platforms Functional Skills: Proficient in Java or Python Proficient in at least one JavaScript UI Framework (e.g. ExtJS, React, or Angular) Proficient in SQL (e.g. Oracle, PostgreSQL, Databricks) Preferred Qualifications: Experience with event-based architecture and serverless AWS services such as EventBridge, SQS, Lambda or ECS. Experience with Benchling Hands-on experience with Full Stack software development Strong understanding of software development methodologies, mainly Agile and Scrum Working experience with DevOps practices and CI/CD pipelines Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience with automated testing tools and frameworks Experience with big data technologies (e.g., Spark, Databricks, Kafka) Experience with leveraging the use of AI-assistants (e.g. GitHub Copilot) to accelerate software development and improve code quality Professional Certifications : AWS Certified Cloud Practitioner preferred Soft Skills: Excellent problem solving, analytical, and troubleshooting skills Strong communication and interpersonal skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to learn quickly & work independently Team-oriented, with a focus on achieving team goals Ability to manage multiple priorities successfully Strong presentation and public speaking skills

What you will do This role is part of the Technology Organizational Effectiveness (OE) team which is responsible for overseeing learning and performance, talent development, communications, and organizational change management. The ideal candidate for this role will be an evangelist for learning and performance with a high emotional IQ and a thirst for completing programs that support learning and staff development. This candidate will support the implementation of key Training, Staff Development, and Learning Operations programs with the ability to complete a variety of tasks. People are at the heart of what we do, and the OE team works to enable the Digital, Technology and Innovation (DTI) function so that its people are positioned to learn, grow, and improve. The OE team drives growth and promotes continual learning across the DTI organization. The OE team uses people-focused approaches to introduce new initiatives and technical solutions to staff in DTI and across the company. With experienced change practitioners, communications professionals, learning specialists, and talent architects, the OE team works together to bring the right solutions to each project. Roles & Responsibilities: The OE Senior Associate will be critical member of the Learning Operations program which is a part Technology Learning and Performance strategy. Activities include: Deliver on Program tasks within established timelines. Customer Engagement Execution of Communications Campaign Domain Expert of Learning Operations Processes Support the maintenance of Program Analytics & Dashboards Participation in critical Learning & Performance initiatives Masters degree and 1 to 3 years of Learning, Talent Development, and Compliance experience OR Bachelors degree and 3 to 5 years of Learning, Talent Development, and Compliance experience OR Diploma and 7 to 9 years of Learning, Talent Development, and Compliance experience 3+ years of learning, performance, and talent development experience 3+ years supporting processes involving Compliance, GxP, and/or Quality Plans High emotional IQ Preferred Qualifications: Must-Have Skills: Demonstrated Program implementation skills Participate in problem solving, understand program needs, and support implementation of solutions to problems Excellent oral and presentation skills; ability to negotiate, influence and persuade Excellent with the Microsoft Office toolset, particularly Word, PowerPoint, Excel Experience in building and maintaining Power BI reports Experience developing actionable and targeted project plans Possesses a natural curiosity for delivering innovative, powerful people focused strategies (talent and learning) that drive targeted and high-impact results Experience working on agile teams Willingness to handle ambiguous and rapidly changing priorities Professionally excels at interaction with all levels of management, staff and vendors Good-to-Have Skills: Understands how to analyze output and measure factors of success Ability to create and edit modern SharePoint pages with ease Solid understanding of social media dynamics Understands how to use data and analytics to develop new and revealing insights Soft Skills: High emotional IQ Excellent people and project management skills Ability to work cross-functionally with multi-functional matrixed teams Ability to manage multiple priorities successfully and work on multiple projects simultaneously High degree of initiative and self-motivation Team-oriented, with a focus on achieving team goals

What you will do We are seeking a Manager - Software Engineering to lead the design and development of software data and analytics applications to drive business decisions for Research. The ideal candidate possesses a deep understanding of software engineering principles, coupled with strong leadership and problem-solving skills. This position requires close collaboration with business analysts, scientists, and other engineers to create high-quality, scalable software solutions. You will continuously strive for innovation in the technologies and practices used for software engineering and develop a team of expert software engineers. You will collaborate with multi-functional teams, including, platform, functional IT, and business collaborators, to ensure that the solutions that are built align with business goals and are scalable, secure, and efficient. Roles & Responsibilities: Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Partner closely with product team owners, the business team including scientists, and other collaborators to lead the software engineering solutioning, ensuring deliverables are completed on time and within scope to deliver real value and meet business objectives Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and implement unit tests, integration tests, and other testing strategies to ensure the quality of the software Work closely with product team, business team including scientists, and other collaborators What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Excellent leadership and project management skills, with the ability to manage multiple priorities simultaneously Proficient in General Purpose High Level Language (e.g. NodeJS/Koa, Python or Java) Proficient in Javascript UI Framework (e.g. React or ExtJs) Proficient in SQL (e.g. Oracle, PostGres or Databricks) Preferred Qualifications: 3+ years of experience in implementing and supporting custom software development for drug discovery Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes) Experience in automated testing tools and frameworks (e.g. Jest, Playwright, Cypress or Selenium) Experience with DevOps practices and CI/CD pipelines Experience with big data technologies (e.g., Spark, Databricks) Experienced with API integration, serverless, microservices architecture Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation) Experience with version control systems like Git Strong understanding of software development methodologies, mainly Agile and Scrum Strong problem solving, analytical skills; Ability to learn quickly & work independently; Excellent communication and interpersonal skills Professional Certifications AWS Certified Cloud Practitioner preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills

Roles & Responsibilities: Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software Identify and resolve software bugs and performance issues Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time Maintain detailed documentation of software designs, code, and development processes Customize modules to meet specific business requirements Work on integrating with other systems and platforms to ensure seamless data flow and functionality Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently Possesses strong rapid prototyping skills and can quickly translate concepts into working code Contribute to both front-end and back-end development using cloud technology Develop innovative solution using generative AI technologies Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Identify and resolve technical challenges effectively Stay updated with the latest trends and advancements Work closely with product team, business team including scientists, and other stakeholders What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Masters degree and 1 to 3 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree and 3 to 5 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 7 to 9 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Preferred Qualifications: Experience in implementing and supporting biopharma scientific software platforms Functional Skills: Must-Have Skills: Proficient in a General Purpose High Level Language (e.g. Python, Java, C#.NET) Proficient in a Javascript UI Framework (e.g. React, ExtJs) Proficient in SQL (e.g. Oracle, PostGres, Databricks) Experience with event-based architecture (e.g. Mulesoft, AWS EventBridge, AWS Kinesis, Kafka) Good-to-Have Skills: Strong understanding of software development methodologies, mainly Agile and Scrum Hands-on experience with Full Stack software development Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes) Working experience with DevOps practices and CI/CD pipelines Experience with big data technologies (e.g., Spark, Databricks) Experience with API integration, serverless, microservices architecture (e.g. Mulesoft, AWS Kafka) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation) Experience with version control systems like Git Experience with automated testing tools and frameworks Experience with Benchling, Revvity, IDBS, or similar LIMS/ELN platforms Professional Certifications (please mention if the certification is preferred or mandatory for the role): AWS Certified Cloud Practitioner preferred Soft Skills: Excellent problem solving, analytical, and troubleshooting skills Strong communication and interpersonal skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to learn quickly & work independently Team-oriented, with a focus on achieving team goals Ability to manage multiple priorities successfully Strong presentation and public speaking skills