103 Spotfire Jobs - Page 3

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Life Sciences Title :- Ind & Func AI Decision Science Consultant Job Location :- Gurgaon, Mumbai, Bangalore About Strategy & Consulting Global Network :- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Qualifications What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for? Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Position Summary This position is part of the technical leadership in data warehousing and Business Intelligence areas. Someone who can work on multiple project streams and clients for better business decision making especially in the area of Lifesciences/ Pharmaceutical domain. Job Responsibilities o Technology Leadership Lead guide the team independently or with little support to design, implement deliver complex reporting and BI project assignments. o Technical portfolio Expertise in a range of BI and hosting technologies like the AWS stack (Redshift, EC2), Qlikview, QlikSense, Tableau, Microstrategy, Spotfireo Project Management ? Get accurate briefs from the Client and translate into tasks for team members with priorities and timeline plans. ? Must maintain high standards of quality and thoroughness. Should be able to monitor accuracy and quality of others' work.? Ability to think in advance about potential risks and mitigation plans.o Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Must be able to guide team members in analysis.o Handle Client Relationship Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills. Education BE/B.Tech Master of Computer Application Work Experience Minimum of 5 years of relevant experience in Pharma domain.? Technical:? Should have 15 years of hands on experience in the following tools Must have working knowledge of toolsAtleast 2 of the following Qlikview, QlikSense, Tableau, Microstrategy, Spotfire? Aware of techniques such asUI design, Report modeling, performance tuning and regression testing? Basic expertise with MS excel? Advanced expertise with SQL? Functional:? Should have experience in following concepts and technologies Specifics: Pharma data sources like IMS, Veeva, Symphony, Cegedim etc. Business processes like alignment, market definition, segmentation, sales crediting, activity metrics calculation 0-2 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company1-3 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company3-5 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company3-5 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company Behavioural Competencies Project ManagementCommunicationAttention to P&L ImpactTeamwork & LeadershipMotivation to Learn and GrowLifescience KnowledgeOwnershipCultural FitScale of resources managedScale of revenues managed / deliveredProblem solvingTalent ManagementCapability Building / Thought Leadership Technical Competencies

Job Title - Data Eng, Mgmt. & Governance - Analyst – S&C Global Network Management Level: 11 Location: Hyderabad Must have skills: Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Good to have skills: Exposure to Retail, Banking, Healthcare projects and knowledge of PowerBI & PowerApps is an added advantage. Job Summary :As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"”from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Proven experience (2+ years) in working as per the above job description is required. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field.- This position is based at our Hyderabad office. About Our Company | Accenture Qualification Experience: Minimum 2 years of experience is required Educational Qualification: Bachelors’ or masters’ degree in any engineering stream or MCA.

What you will do In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific 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 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 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 LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality work from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and achievements Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. 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, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree and 6 to 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 10 to 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Must-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc. Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience in establishing business partnerships and IS governance practices involving senior business collaborators Knowledge of business analysis standard methodologies, 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.

What you will do Lets do this. Lets change the world. In this vital role you will create and develop data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research collaborators. You will also provide technical leadership to junior team members. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Lead, manage, and mentor a high-performing team of data engineers Design, develop, and implement data pipelines, ETL processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Develop and maintain 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 data-related challenges Adhere to best practices 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 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: Doctorate Degree OR 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 Preferred Qualifications: 3+ years of experience in implementing 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 big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Excellent problem-solving skills and the ability to work with large, complex datasets Able to engage with business collaborators and mentor team to develop data pipelines and data models Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Good understanding of data modeling, data warehousing, and data integration concepts Good 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 technical documentation in Confluence Understanding of data governance frameworks, tools, and best practices 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

Hi, We are hiring for ITES Company for Spotfire Programmer Role. Job description: Minimum 3 years of experience as a Spotfire Programmer and Clinical experience is Mandatory Working on Refreshes requests for SRT & CSTV Building Oncology & Standard Visuals for Clinical Study Team Visualization (CSTV) Setting up standard and Study Specific Spotfire requests for Safety Review Team (SRT) Knowledge of Spotfire, Study configuration tool and On Demand Tool. Creating SAS Codes as per the requirement Setup and customization of visuals for Medical Reviewers Validation of visuals as per the specifications Optimize data models and queries for improved performance and scalability. Monitor and troubleshoot issues related to the Spotfire platform and coordinate with vendors for advanced support. Seeking opportunities to leverage expertise in Spotfire development and data visualization to contribute to the success of a data-driven organization. Integrate and prepare data, create visualizations and reports, optimize performance, and collaborate with stakeholders. Possesses a strong understanding of data exploration, ETL processes, and programming in R. Adept at collaborating with clients and stakeholders to translate complex data into clear and actionable insights. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Spotfire Programmer Bangalore (Job Code # 80) b) For Position in Ahmedabad Search : Spotfire Programmer Ahmedabad (Job Code # 82)

Looking for Tibco Spotfire Developer_ Bangalore, Chennai, Hyderabad Location 7+ Yrs Experience Location : Bangalore, Chennai,Hyderabad Education: B.E/B.Tech/MCA/M.Tech Skills : TibcoSpotfire and Power BI Kindly share your resume to Staffingteam3@Ontimesolutions.in Call me on 9036023026

Role Description: In this role, you will design, build and maintain data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research stakeholders. The ideal candidate possesses experience in the pharmaceutical or biotech industr y , demonstrates strong technical skills, has experience with big data technologies, and understands data architecture and ETL processes. Roles & Responsibilities: Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks Contributeto data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency Optimizelarge datasets for query performance Collaborate with global cross-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 data-related challenges Adhere to best practices 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 documentation of processes, systems, and solutions Basic Qualifications and Experience: Masters degree and 1 to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR Bachelors degree and 3 to 5 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR Diploma and 7 to 9 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience Preferred Qualifications and Experience: 1+ years of experience in implementing and supporting biopharma scientific research data analytics (software platforms) Functional Skills: Must-Have Skills : Proficiency withSQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks Hands on experience with big data technologies and platforms, such as Databricks (or equivalent), Apache Spark (PySpark, SparkSQL), 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 Basic understanding of data modeling, data warehousing, and data integration concepts Experience using RDBMS (e.g. Oracle, Postgres, MySQL, SQL server) 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 technical documentation in Confluence Professional Certifications: Databricks Certified Data Engineer Professional 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

What you will do Lets do this. Lets change the world. In this vital role you will work closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific 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 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 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 LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality work from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the technology ecosystem for in vivo study data management and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and achievements Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. 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, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree and 6 to 8 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 10 to 12 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field Must-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in configuration and administration of LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc. Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Preferred Qualifications: 5+ years of experience in designing and supporting biopharma scientific software platforms Experience leading the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP) Knowledge of bioanalytical workflows and/or biospecimen management Experience in AI and machine learning for drug discovery research and preclinical development Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience in establishing business partnerships and IS governance practices involving senior business collaborators Knowledge of business analysis standard methodologies, 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

What you will do Let’s do this. Let’s change the world. In this vital role you will create and develop data lake solutions for scientific data that drive business decisions for Research. You will build scalable and high-performance data engineering solutions for large scientific datasets and collaborate with Research collaborators. You will also provide technical leadership to junior team members. The ideal candidate possesses experience in the pharmaceutical or biotech industry, demonstrates deep technical skills, is proficient with big data technologies, and has a deep understanding of data architecture and ETL processes. Roles & Responsibilities: Lead, manage, and mentor a high-performing team of data engineers Design, develop, and implement data pipelines, ETL processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Develop and maintain 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 data-related challenges Adhere to best practices 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 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: Doctorate Degree OR Master’s degree with 4 - 6 years of experience in Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelor’s 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 Preferred Qualifications: 3+ years of experience in implementing 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 big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Excellent problem-solving skills and the ability to work with large, complex datasets Able to engage with business collaborators and mentor team to develop data pipelines and data models Good-to-Have Skills: A passion for tackling complex challenges in drug discovery with technology and data Good understanding of data modeling, data warehousing, and data integration concepts Good 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 technical documentation in Confluence Understanding of data governance frameworks, tools, and best practices 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 can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Master Data Specialist – Drug Substance What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for driving and leading all aspects of complex master data management activities to ensure data integrity, accuracy, and compliance across Amgen’s operations. This role goes beyond data entry and analysis, focusing on optimizing and maintaining MDM processes, handling complex data governance issues, managing stakeholders, and driving operational excellence. The Specialist will play a key role in handling large-scale data migration, integration projects, and collaborating with cross-functional teams to align data management practices with business objectives. Roles & Responsibilities: Handle, maintain, and optimize master data processes, ensuring the accuracy, consistency, and governance of data across systems. Lead data migration and integration projects, ensuring seamless data flow between systems and platforms. Collaborate with IT and business teams to identify and resolve complex data governance issues and operational challenges. Collaborate with cross-functional stakeholders to work on business processes such as change control, deviation support, and troubleshooting process issues that are master data-related Monitor and analyze data quality metrics, implementing improvements to enhance operational efficiency. Ensure compliance with data governance policies and industry regulations, driving continuous improvement in master data operations. 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: Bachelor’s degree in a STEM discipline and 5-6 years of experience in SAP ECC, master data management, data governance, or data operations in a biotech manufacturing context Master data knowledge in domains such as Material and Production Master Experience leading data migration, integration, and governance initiatives across large-scale operations Strong analytical and problem-solving skills with a focus on data accuracy and process optimization Preferred Qualifications: Must-Have Skills: Proven experience working on enterprise applications such as SAP/Oracle Proven experience working on data management and E2E data governance Proficient in MS Office tools and visualization tools such as Tableau/Spotfire Strong ability to lead data governance initiatives and ensure compliance with industry regulations. Excellent problem-solving and analytical skills with a focus on optimizing data processes and improving data quality. Experience handling data migration and complex data operations across multiple systems. Strong cross-functional collaboration skills, with the ability to communicate technical concepts to non-technical stakeholders. Good-to-Have Skills: SAP S/4, SAP MDG, MES 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 with ownership of results. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Customer Master Team Lead What you will do Let’s do this. Let’s change the world. In this vital role you will take ownership of Customer Master data processes, ensuring the accuracy, consistency, and governance of critical data across the organization. This role will lead data validation, cleansing, and enrichment efforts, and collaborate with cross-functional teams to resolve complex data issues and drive process improvements. The Customer Master Team Lead will also oversee key performance metrics, ensure compliance with data governance standards, and lead data migration and integration initiatives. Roles & Responsibilities: Lead and manage day-to-day MDM operations, including data validation, cleansing, and enrichment processes Oversee data governance practices, ensuring compliance with internal standards and regulatory requirements Collaborate with cross-functional teams, including IT and business units, to resolve complex data issues and improve data workflows. Implement and drive continuous improvements in MDM processes to enhance data accuracy, quality, and operational efficiency. Lead data migration, integration projects, and system upgrades to ensure seamless data consistency across platforms. Monitor and report on key performance indicators related to master data quality and operational success. 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: Bachelor’s in a STEM discipline and 7-8 years of experience in enterprise applications like SAP, and Oracle, proven experience in Customer Master data management and data governance Proven experience preferably in healthcare or biotech supply chain Proficient in MS Office, visualization tools like Spotfire, Tableau, Power BI Strong analytical skills with the ability to collaborate cross-functionally and resolve data issues. Experience in leading and handling successful teams Preferred Qualifications: Must-Have Skills: Expertise in master data management processes and data governance Solid understanding of SAP ECC and proven experience in data implementation/integration projects Master data knowledge in the Customer Master domain, other domains such as Material and Production Master are a plus Ability to lead and collaborate with cross-functional teams to set data strategy for a master domain(s) and drive prioritization across different projects and day-to-day operations Strong understanding of data governance frameworks and regulatory compliance standards and regulations (e.g., GDPR, HIPAA, GxP). Excellent problem-solving and analytical skills, with a focus on driving continuous improvement in data accuracy and quality Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM Professional Certifications (please mention if the certification is preferred or mandatory for the role): 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 can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Data Engineer What you will do Let’s do this. Let’s change the world. In this vital role you will serve a critical function within Organizational, Planning, Analytics & Insights with a goal of enterprise-wide, long-term workforce transformation by connecting people, financial, procurement & capability data to enable business insights & decisions. The Data Engineer will work with the Tech and Data lead for OPA&I and will be responsible for identifying requirements and building data analytics solutions and visualizations for OPA&I. Roles & Responsibilities: Understand, Connect & Integrate Data: Develop and maintain robust methods to connect data from various sources including HR, Finance, Procurement, and Activities. Ensure seamless integration and synchronization between systems and databases. Implement strategies and tools to efficiently manage and process structured and unstructured data. Establish and enforce data validation procedures to ensure data accuracy and consistency. Deliver Data Insights: Develop and implement interactive dashboards and visualizations to provide collaborators with easy access to workforce and financial planning insights. Collaborate with multi-functional teams to understand their data needs and tailor visual solutions accordingly. Apply advanced analytics, models, and GenAI solutions to uncover trends, patterns, and actionable insights. Present data findings in a clear and compelling manner that enhances decision-making. Integrate Business Processes with Data Systems Holistically Develop and deploy solutions that seamlessly support business workflows with data infrastructure. Consistently pursue enhancements to boost efficiency and alignment using data-driven approaches. Partner with business collaborators to advise on comprehensive solutions. Oversee projects aimed at improving data quality and operational performance within business processes. Guarantee consistency to data standards and maintain data integrity across all business systems. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of computer science or quantitative field experience OR Bachelor’s degree and 3 to 5 years of computer science or quantitative field experience OR Diploma and 7 to 9 years of computer science or quantitative field experience 2+ years of development experience with Databricks (or Snowflake), including cluster setup, execution, and tuning. Experience with other ETL tools like Alteryx is also acceptable. 2+ years of experience building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL Experience with one or more programming languages, Python, R, SAS, Scala, or Java. Experience with common data processing librariesPandas, PySpark, SQLAlchemy. Experience building dashboards and end-user interfaces using visualization tools such as Power BI, Tableau and Spotfire Experience working with collaborators to define requirements and design data solutions Experience building data analytics and business intelligence solutions with financial and workforce data Experience performing exploratory and targeted data analyses using descriptive statistics and other methods. Preferred Qualifications: Experience with NLP or GenAI tools like OpenAI. Experience with software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Conceptual understanding of DevOps tools (Ansible/ Gitlab CI/CD / GitHub / Docker /Jenkins) Experience working in Agile-based teams Experience with R/Python-based visualization frameworks such as Shiny, Dash, Streamlit Professional Certifications: Databricks (preferred) Tableau/Power BI/Alteryx (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 can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Transportation Master Team Lead What you will do Let’s do this. Let’s change the world. In this vital role you will take ownership of Transportation Master data processes, ensuring the accuracy, consistency, and governance of critical data across the organization. This role will lead data validation, cleansing, and enrichment efforts, and collaborate with cross-functional teams to resolve complex data issues and drive process improvements. The Transportation Master Team Lead will also oversee key performance metrics, ensure compliance with data governance standards, and lead data migration and integration initiatives. Roles & Responsibilities: Lead and manage day-to-day MDM operations, including data validation, cleansing, and enrichment processes Oversee data governance practices, ensuring compliance with internal standards and regulatory requirements Collaborate with cross-functional teams, including IT and business units, to resolve complex data issues and improve data workflows. Implement and drive continuous improvements in MDM processes to enhance data accuracy, quality, and operational efficiency. Lead data migration, integration projects, and system upgrades to ensure seamless data consistency across platforms. Monitor and report on key performance indicators related to master data quality and operational success. 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: Bachelor’s in a STEM discipline and 7-8 years of experience in enterprise applications like SAP, and Oracle, proven experience in Transportation Master data management and data governance Industry experience preferably in healthcare or biotech supply chain Proficient in MS Office, visualization tools like Spotfire, Tableau, Power BI Strong analytical skills with the ability to collaborate cross-functionally and resolve data issues. Experience in leading and managing successful teams Preferred Qualifications: Must-Have Skills: Expertise in master data management processes and data governance Solid understanding of SAP ECC and proven experience in data implementation/integration projects Master data knowledge in the Transportation domain, other domains such as Material, Customer, and Production Master are a plus. Ability to lead and collaborate with cross-functional teams to set data strategy for a master domain(s) and drive prioritization across different projects and day-to-day operations Strong understanding of data governance frameworks and regulatory compliance standards and regulations (e.g., GDPR, HIPAA, GxP). Excellent problem-solving and analytical skills, with a focus on driving continuous improvement in data accuracy and quality Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM Professional Certifications (please mention if the certification is preferred or mandatory for the role): 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 can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Role Description? The Data Engineer is a key contributor to the Clinical Trial Data & Analytics (CTDA) Team, driving the development of robust data pipelines and platforms to enable advanced analytics and decision-making. Operating within a SAFE Agile product team, this role ensures system performance, minimizes downtime through automation, and supports the creation of actionable insights from clinical trial data. Collaborating with product owners, architects, and engineers, the Data Engineer will implement and enhance analytics capabilities. Ideal candidates are detail-oriented professionals with strong technical skills, a problem-solving mindset, and a passion for advancing clinical operations through data engineering and analytics. Roles & Responsibilities? ? Proficiency in developing interactive dashboards and visualizations using Spotfire, Power BI, and Tableau to provide actionable insights. Expertise in creating dynamic reports and visualizations that support data-driven decision-making and meet stakeholder requirements. Ability to analyze complex datasets and translate them into meaningful KPIs, metrics, and trends. Strong knowledge of data visualization best practices, including user-centric design, accessibility, and responsiveness. Experience in integrating data from multiple sources (databases, APIs, data warehouses) into visualizations. Skilled in performance tuning of dashboards and reports to optimize responsiveness and usability. Ability to work with end-users to define reporting requirements, develop prototypes, and implement final solutions. Familiarity with integrating real-time and predictive analytics within dashboards to enhance forecasting capabilities. Basic Qualifications and Experience? Master’s degree and 1 to 3 years of Computer Science, IT or related field experience? OR ? Bachelor’s 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 ? Functional Skills: ? Must-Have Skills Proven hands-on experience with cloud platforms such as AWS, Azure, and GCP. Proficiency in using Python, PySpark , and SQL, with practical experience in ETL performance tuning. Development knowledge in Databricks. Strong analytical and problem-solving skills to tackle complex data challenges, with expertise in using analytical tools like Spotfire, Power BI, and Tableau. Good-to-Have Skills: ? Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Familiarity with SQL/NOSQL database, vector database for large language models Familiarity with prompt engineering, model fine tuning Professional Certifications AWS Certified Data Engineer (preferred) Databricks Certification (preferred) Any SAFe Agile certification (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

Hi We are hiring for ITES Company for Spotfire Programmer Role. Responsibilities: Working on Refreshes requests for SRT & CSTV Building Oncology & Standard Visuals for Clinical Study Team Visualization (CSTV) Setting up standard and Study Specific requests for Safety Review Team (SRT) Knowledge of Spotfire, Study configuration tool and On Demand Tool. Creating SAS Codes as per the requirement Validation of visuals as per the specifications 1.5+ years of experience crafting interactive dashboards using TIBCO Spotfire. Adept at developing complex reports utilizing cross tables, bar charts, with advanced features like: property control, custom expressions, labels, and marking. Proficient in all core visualizations including bar charts, line charts, pie charts, scatter plots, cross tabs, and combination charts. Experience creating intricate dashboards leveraging information links and Iron Python scripting for enhanced functionality. Possess strong knowledge of advanced visualizations such as heat maps, box plots, tree maps, and map charts. Proven ability to collaborate effectively with stakeholders to address support requests and implement new feature enhancements. Skilled in publishing and deploying dashboards to meet specific business requirements. Proficient in Microsoft Excel functions including VLOOKUP, text functions, charts, and pivot tables. Demonstrated ability to handle multiple tasks simultaneously and thrive in both independent and collaborative work environments. Possess strong documentation and presentation skills to effectively communicate technical concepts. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Spotfire Programmer Mumbai (Job Code # 78) b) For Position in Pune Search : Spotfire Programmer Pune (Job Code # 79)

Hi, We are hiring for ITES Company for Spotfire Programmer Role. Job description: Minimum 3 years of experience as a Spotfire Programmer and Clinical experience is Mandatory Working on Refreshes requests for SRT & CSTV Building Oncology & Standard Visuals for Clinical Study Team Visualization (CSTV) Setting up standard and Study Specific Spotfire requests for Safety Review Team (SRT) Knowledge of Spotfire, Study configuration tool and On Demand Tool. Creating SAS Codes as per the requirement Setup and customization of visuals for Medical Reviewers Validation of visuals as per the specifications Optimize data models and queries for improved performance and scalability. Monitor and troubleshoot issues related to the Spotfire platform and coordinate with vendors for advanced support. Seeking opportunities to leverage expertise in Spotfire development and data visualization to contribute to the success of a data-driven organization. Integrate and prepare data, create visualizations and reports, optimize performance, and collaborate with stakeholders. Possesses a strong understanding of data exploration, ETL processes, and programming in R. Adept at collaborating with clients and stakeholders to translate complex data into clear and actionable insights. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Spotfire Programmer Bangalore (Job Code # 80) b) For Position in Ahmedabad Search : Spotfire Programmer Ahmedabad (Job Code # 82)

Job Title S&C GN AI Managed service Data Operations Analyst Management Level:11 Analyst Location:Hyderabad Must have skills:Python, Pyspark, Databricks, AI/ML Good to have skills:cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models, Exposure to Retail, Banking, Healthcare projects. Job Summary : An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Bachelor's or Master's degree in any engineering stream or MCA. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Qualifications Experience:Minimum 2+ year(s) of experience is required Educational Qualification:B.Tech/BE or MCA

Senior Manager Information Systems What you will do Lets do this. Lets change the world. The role is responsible for leading and charting the course for the Clinical Trial Data and Analytics (CTDA) product team that builds and transforms technology capabilities that positively impacts business outcomes. This individual will be responsible for developing and leading a highly talented team that is built for delivering high-end and innovative technologies. The ideal candidate will have extensive experience in leading technology-driven projects within the Information Systems domain, with a strong focus on building data foundations and integrating Veeva system solutions to enhance the clinical operations ecosystem. This individual will play a pivotal role in enabling innovation, scalability, and operational excellence in the biotechnology industry by delivering seamless and efficient end-to-end solutions. Proficiency in designing robust data foundations, managing complex integration projects, and ensuring compliance with GxP standards is essential. A deep understanding of the software development lifecycle, Scaled Agile methodologies, and technical solution design is key. The candidate will work closely with cross-functional and global teams to drive organizational critical initiatives, streamline processes, and ensure high-quality outcomes in a matrixed environment. Roles & Responsibilities: 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 Lead and be accountable for the Agile Product team supporting Clinical Trial Data & Analytics (CTDA) capabilities, ensuring alignment with business goals and objectives. Build and manage the product roadmap, driving robust prioritization and governance through PI planning in collaboration with business leadership. Oversee the management of Build and DevOps teams, ensuring smooth development, deployment, and operational support for CTDA capabilities. Design and implement robust data foundations, including new interfaces, workflows, and data models, to enable seamless integration of clinical systems and efficient clinical data reporting. Leverage innovative AI/ML and cloud technologies to address Clinical Operations needs and shape the vision for the R&D software ecosystem. Develop and mentor a high-performing team, champion diversity, and embed global ways of working within a local and international context. Serve as a SAFe coach, mentoring teams in Agile product delivery and fostering a Lean-Agile leadership culture. Maintain strategic relationships with leadership, providing regular updates on IS services, performance metrics, and unmet needs to keep collaborators informed and engaged. Lead impact assessments to evaluate changes to existing systems, proposing solutions to align with business needs and future opportunities. Collaborate with geographically dispersed teams to ensure alignment across global operations, driving operational excellence in a matrixed organization. Understand workflows, decision-making processes, and information needs of collaborators, contributing to defining business outcomes and technology solutions. Ensure rigorous testing, compliance, and successful deployment of integrations into production environments. Actively participate in leadership meetings, collaborating across functional groups to deliver high-quality results that meet organizational objectives. What we expect of you We are all different, yet we all use our unique contributions to serve patients. 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. Experience with data analysis, data modeling, and data visualization solutions such as Tableau and Spotfire Have strong business acumen. Can demonstrate deep understanding of industry, therapy and product 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) Ability to work effectively in a fast-paced, dynamic environment. Broad working knowledge of key IS domains and layers Familiarity with regulatory requirements for Clinical Trials (e.g. 21 CFR Part11, ICH ) Proven expertise in managing product Total Cost of Ownership (TCO), budgets, and forecasts to align with organizational goals. Experience with AI/ML and cloud technologies to innovate, optimize processes, and enhance system integrations. Professional Certifications ITIL (preferred) Scaled Agile Framework (SAFe) for Teams (preferred) Soft Skills: Excellent leadership and team management skills. Strong transformation and change management experience. Exceptional collaboration and communication skills. 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. Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams

Job Title: Consultant - Data Analyst Job Description: We are seeking a highly skilled and motivated Consultant - Data Analyst to join our dynamic team. In this role, you will be responsible for analyzing complex data sets, providing actionable insights, and supporting decision-making processes across various projects. Key Responsibilities: - Collaborate with clients to understand their data needs and business objectives. - Collect, clean, and analyze large data sets to identify trends, patterns, and anomalies. - Develop and maintain dashboards and reports to present findings in a clear and effective manner. - Utilize statistical analysis techniques to evaluate data and support business strategies. - Provide recommendations based on data analysis to enhance operational efficiency and drive business growth. - Work closely with cross-functional teams to implement data-driven solutions. - Stay up to date with industry trends and emerging technologies in data analysis. Qualifications: - Bachelor’s degree in Engineering, Master’s degree preferred. - Proven experience as a data analyst or in a similar consulting role. - Proficiency in data analysis tools such as SQL, Excel, R, or Python. - Strong understanding of data visualization tools such as Tableau, Power BI, or similar. - Excellent analytical and problem-solving skills with a keen attention to detail. - Strong communication skills, both written and verbal, with the ability to present complex information clearly. - Ability to work independently and collaboratively in a team environment. Join us and contribute to impactful projects that leverage data to drive success and innovation for our clients. We look forward to your application.

Project Role: Acts as the Connected Devices Data Management point of contact for JS Programming-related activities managing Data Validation and Data Quality. Additionally, they ensure that data is processed and tracked in alignment with Sponsor expectations, regulatory and quality standards. Create Spotfire reports for Data analysis. Programs all coding deliverables; liaising with project stakeholders such as project and data operations teams; Automate manual tasks using Power Query and Power Automate. Work Experience: 2 to 4 years of relevant experience. Work location: Bangalore, Hyderabad, Mumbai Work Mode: Hybrid Must Have Skills: JavaScript, SQL, Spotfire, Power Automate, clinical data management. Job Overview: Prepare Edit check programs to validate data and transform Data; Automate manual tasks for efficiency. Job Responsibility: We are seeking a skilled Data Quality Specialist with expertise in SQL, JavaScript, and Power Query. The ideal candidate will be responsible for developing and maintaining data Quality and data integration solutions, ensuring data accuracy, and optimizing data workflows. Technical Skills: JavaScript programming, SQL, Spotfire for dashboarding, Power Automate Educational Qualification: Bachelors degree in computer science engineering, or educational equivalence, in computer or related field

Let’s do this. Let’s change the world. In this vital role you will help deliver Amgen’s strategic approach towards Regulatory Affairs analytics, Data Standards and emerging Data Standard compliance. The role involves managing Data and Analytics resource in AIN, partnering with cross-functional stakeholders who utilize Regulatory and Master data across processes and systems. This role will manage the delivery of key analytics and reporting. Roles & Responsibilities: Delivering quality and compliance in global regulatory data analytics services across processes and systems. Aid alignment with international data standards to ensure compliance with Health Authority regulations for submission and registration. Assist in delivering identified Regulatory Data and Analytics requirements. Implement strategy aimed at alignment with new and existing Regulatory Data Standards, Analytics, and Reporting. Deliver against defined standards to scale data and usage with repeatable processes to keep data up to date. Leverage global regulations to support system and process simplification, automation and innovation. Organize and present data in user friendly, graphical, interactive informational summaries that illustrate how GRAAS is performing and allow us to understand and improve business performance. Required Knowledge and Skills: Strong knowledge of Proven leadership in regulatory data and analytics and reporting Proven experience of delivering data-centric processes and systems. Strong Knowledge of managing structured and unstructured data Demonstrated strength in change management and partner engagement 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: Doctorate degree OR Master’s degree and 4 to 6 years of regulatory systems and data experience OR Bachelor’s degree and 6 to 8 years of regulatory systems and data experience OR Diploma and 10 to 12 years of regulatory systems and data experience Preferred Qualifications: Strong understanding of IDMP, Regulatory Affairs business complexity and process interdependencies Experience with regulatory master data in Regulatory Affairs, Research, Development, Quality Management, or related area. Demonstrated experience in leading impactful teams. Proficiency in data visualization tools or packages, such as Tableau or Spotfire. Proven and strong interaction with global collaborators Experience with managing data strategy across a large enterprise Expertise in team leadership and KPI deliverable Experience in Regulatory Affairs. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com