120 Spotfire Jobs - Page 5

Job responsibilities • Utilizes primary development tools including Medidata, Rave, Oracle OC/RDC, Oracle Inform, and/or SAS, and other supporting tools to design, write, validate, and maintain software to meet specifications in a timely and productive manner following standard development procedures. • Generates and maintains all required documentation, including the development of specifications, programs, and validation efforts in support of annotated Case Report Forms (CRFs), database creation, coding configuration, edit check procedures, import setup and processing, export setup and processing, listings, and custom reports.. • Serves on project teams to coordinate and lead development activities for clinical programming projects. Attends meetings, participates in discussions, uses an analytical approach to problem solving, focuses on deliverables, and provides constructive feedback. Keeps those responsible for project management informed of any issues that might impact project target dates, scope, or budget and escalates potential problems effectively and in a timely manner. Balances multiple task assignments and communicates needs to supervisor to obtain needed resources. • Provides technology support to the clinical programming staff, Project Analysts, Data Managers, etc., who design, write, validate, and maintain software to meet specifications in a timely and productive manner following standard development procedures. This includes support of the development of specifications, coding, and validation efforts in support of annotated CRFs, database creation, coding setup, edit-check procedures, import setup and processing, export setup and processing, listings, and custom reports • Provides application administration and technical support as the subject matter expert on core business packages including but not limited to: Oracle Inform, MDSOL Rave, Oracle RDC, -, SAS, and supplemental packages such as migration mentor/review, reporting tools, custom functions. • Ensures high quality deliverables by providing senior review of study level/program level/multi study core deliveries for accuracy. Attends sponsor audits and assists with in-progress audits. • Reviews and provide input on study budgets and monitors scope of work to actual work, alerting management of potential change orders; manages and executes the change order to completion. Provides input and supporting details for change orders. • Monitors applications for workflow alerts, system errors, and performance issues. Provides second tier help desk support, as needed. • Performs system integration activities, application updates, and user acceptance testing. • Provides leadership, training, guidance, and support to other department members based upon expertise in specific skill sets. Collaborates with clients, peers, lead programmers, project teams, and/or requestors to clarify and finalize specifications; uses expanded technical skills to meet evolving project needs. • Assists in project meetings and actively contributes and participates in departmental review meetings. • Attends Quick Start Camps (QSCs) as the lead Clinical Programmer role for assigned studies. • Leads clinical programming activities on three (3) to ten (10) concurrent studies depending upon scope, similarity, program, and resourcing requirements. • Manages project resources, proactively alerting management of delivery and resourcing needs. • Possesses and maintains a broad overall knowledge in the field of clinical programming and clinical data management by reading related literature, self-training, attending training classes, attending professional meetings, etc. Qualifications What were looking for • Bachelor’s degree preferred, or equivalent combination of related education and experience. • 5 years of experience, must have Data visualization experience in Spotfire/Tableau/PowerBI (Useful) • Experience with either Python/SAS/SQL. • Clinical background experience is a must, with preferred experience in iMedidata Rave & Veeva EDC. • Good to have Spotfire API experience/knowledge. • The ability to deal effectively with sponsors and internal customers at all levels. • Excellent communication and interpersonal skills, both written and spoken, with an ability to inform. • Demonstrated experience in managing multiple priorities in a highly dynamic environment • Experience working in a matrix-structured environment is preferred • Proficiency in Microsoft Office Suite (Word, Excel, and PowerPoint), email, and Voicemail • Experience with programming languages, such as PL/SQL, SAS, C#, or VB preferred. • Ability to travel as necessary (up to 25%)

Role: Spotfire Administrator Location: Pune/Nagpur/MH Job type: Full Time Job Looking for someone who can join within 2 to 3 weeks Working hours US EST - 6:30 pm to 3:30 am IST Job Description: More about role: A Spotfire administrator is responsible for managing the overall Spotfire environment, including user access, data connections, server configuration, security settings, and ensuring the smooth operation of Spotfire applications, primarily by managing user permissions, setting up data sources, and maintaining the overall health of the Spotfire server, allowing users to effectively analyze and visualize data within the platform. Key responsibilities of a Spotfire administrator include: User management: Creating and managing user accounts Assigning appropriate roles and permissions to users based on their needs Deactivating user accounts as required Data source management: Setting up and configuring data connections to various data sources (databases, flat files, APIs) Managing data refreshes and schedules Ensuring data quality and integrity Server administration: Monitoring server performance and resource utilization Managing server upgrades and patching Troubleshooting server issues Security management: Implementing security policies to protect sensitive data Managing access controls and data encryption Application management: Deploying and updating Spotfire applications Managing application configurations and settings Monitoring and reporting: Tracking user activity and usage patterns Generating reports on Spotfire usage and performance Collaboration with stakeholders: Working with business users to understand their data analysis needs Providing training and support to users on Spotfire functionalities Important considerations for a Spotfire administrator: Technical skills: Strong understanding of database management, data warehousing concepts, and data visualization techniques. Security awareness: Knowledge of best practices for data security and access controls Problem-solving abilities: Capability to diagnose and resolve technical issues related to Spotfire Communication skills: Ability to effectively communicate with both technical and non-technical users Interested candidates can share updated resume @Jagannath.Gaddam@quantumintegrators.com

What you will do Let’s do this. Let’s change the world. In this vital role you will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, troubleshoot issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives. This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a solid background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational central initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team Serve as Agile team scrum master or project manager as needed Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny) Support a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones 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. What we expect of you Master’s degree and 1 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelor’s degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience. Basic Qualifications: 3+ years of experience in implementing and supporting biopharma scientific research data analytics Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data Collaborative spirit and effective communication skills to work seamlessly in a multi-functional team An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R Preferred Qualifications: Demonstrated expertise in a scientific domain area and related technology needs Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts Experience with cloud (e.g. AWS) and on-premise compute infrastructure Experience with scientific and technical team collaborations, ensuring seamless coordination across teams and driving the successful delivery of technical projects Experience creating impactful slide decks and communicating data Ability to deliver features meeting research user demands using Agile methodology We understand that to successfully sustain and grow as a global enterprise and deliver for patients — we must ensure a diverse and inclusive work environment. Professional Certifications SAFe for Teams certification (preferred) SAFe Scrum Master or similar (preferred) Soft 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. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation.

What you will do Amgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value – supporting our mission “To Serve Patients”. The Amgen India Digital Technology & Innovation (DTI) Scientific Business Analyst (BA) role will primarily focus on analyzing scientific requirements from Global Research and translating them into efficient and effective information systems solutions. As a domain expert, the prospective BA collaborate with cross-functional teams to identify data product enhancement opportunities, perform data analysis, troubleshoot issues, and support system implementation and maintenance. Additionally, it will involve development of data product launch and user adoption strategy of Amgen Research Foundational Data Systems. Your expertise in business process analysis and technology will contribute to the successful delivery of IT solutions that drive operational efficiency and meet business objectives. This role requires expertise in biopharma scientific domains as well as informatics solution delivery. Additionally, extensive collaboration with global teams is required to ensure seamless integration and operational excellence. The ideal candidate will have a strong background in the end-to-end software development lifecycle and be a Scaled Agile practitioner, coupled with change management and transformation experience. This role demands the ability to deliver against key organizational strategic initiatives, foster a collaborative environment, and deliver high-quality results in a matrixed organizational structure. Roles & Responsibilities: Collaborate with geographically dispersed teams, including those in the US, EU and other international locations. Partner and ensure alignment of the Amgen India DTI site leadership and follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Function as a Scientific Business Analyst, providing domain expertise for Research Data and Analytics within a Scaled Agile Framework (SAFe) product team Create functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (Databricks, Spotfire, Tableau, Dash, Streamlit, RShiny) Support a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate scientific and technological needs into clear, actionable requirements for development teams Develop and maintain release deliverables that clearly outlines the planned features and enhancements, timelines, and milestones 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. 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 0 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelor’s degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience Preferred Qualifications: BS, MS or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Life Sciences, Computer Science or Engineering 3+ years of experience in implementing and supporting biopharma scientific research data analytics Functional Skills: Must-Have Skills: Learning agility, excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with data Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R Good-to-Have Skills: Demonstrated background in a scientific domain area and related technology needs Understanding of semantics and FAIR (Findability, Accessibility Interoperability and Reuse) data concepts Background with cloud (e.g. AWS) and on-premise compute infrastructure We understand that to successfully sustain and grow as a global enterprise and deliver for patients — we must ensure a diverse and inclusive work environment. Professional Certifications SAFe for Teams certification (preferred) Soft 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. 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. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation. Apply now and make a lasting impact with the Amgen team. 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.

What you will do 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 industry, 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 Contribute to 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 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 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, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR Bachelor’s 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) Must-Have Skills: Proficiency with 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 (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 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. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation. 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.

Sr Associate Software Engineer – Tech Enablement Team Job Posting Title Sr Associate Software Engineer Workday Job Profile Sr Associate Software Engineer Department Name Digital, Technology & Innovation Role GCF 4 ABOUT THE ROLE Role Description: In this vital and technical role, you will deliver innovative custom solutions for supporting patient safety and adhering to regulatory requirements from around the world. You will be an active participant in the team directly working towards advancing technical features and enhancements of the business applications, also involving Machine Learning and Natural Language Processing technologies. Roles & Responsibilities: Develops and delivers robust technology solutions in a regulated environment by collaborating with business partners, information systems (IS) colleagues and service providers Authors documentation for technical specifications and designs that satisfy detailed business and functional requirements Works closely with business and IS teams to find opportunities Responsible for crafting and building end-to-end solutions using cloud technologies (e.g. Amazon Web Services and Business Intelligence tools (e.g. Cognos, Tableau and Spotfire) or any other platforms Chips in towards design and rapid Proof-of-Concept (POC) development efforts for automated solutions that improve efficiency and simplify business processes. Quickly and iteratively prove or disprove the concepts being considered. Ensures design, development of software solutions is meeting Amgen architectural, security, quality and development guidelines Participates in Agile development ceremonies and practices Write SQL queries to manipulate and visualize data using data visualization tools Basic Qualifications and Experience: Master’s degree with 2 - 6 years of experience in software engineering experience OR Bachelor’s degree with 4 - 6 years of experience in software engineering experience OR Diploma with 6- 8 years of experience in software engineering experience Functional Skills: Must-Have Skills: Experience and proficient with at least one development programming language/technologies such as Database SQL and Python Experience with at least one Business Intelligence tool such as Cognos, Tableau or Spotfire Familiarity with automation technologies UiPath and a desire to learn and support Solid understanding of Mulesoft and ETL technologies (e.g. Informatica, DataBricks) Understanding of AWS/cloud storage, hosting, and compute environments is required Good-to-Have Skills: Experienced in database programming languages, data modelling concepts, including Oracle SQL and PL/SQL Experience with API integrations such as MuleSoft Solid understanding of using one or more general programming languages, including but not limited toJava or Python Outstanding written and verbal communication skills, and ability to explain technical concepts to non-technical clients Sharp learning agility, problem solving and analytical thinking Experienced in managing GxP systems and implementing GxP projects Extensive expertise in SDLC, including requirements, design, testing, data analysis, change control Professional Certifications: Understanding and experience with Agile methodology and DevOps Soft Skills: Strong communication and presentation skills Ability to work on multiple projects simultaneously Expertise in visualizing and manipulating large data sets Willing to learn to new technologies High learning agility, innovation, and analytical skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation.

Sr Associate Software Engineer – Tech Enablement Team Job Posting Title Sr Associate Software Engineer Workday Job Profile Sr Associate Software Engineer Department Name Digital, Technology & Innovation Role GCF 4 ABOUT THE ROLE Role Description: In this vital and technical role, you will deliver innovative custom solutions for supporting patient safety and adhering to regulatory requirements from around the world. You will be an active participant in the team directly working towards advancing technical features and enhancements of the business applications, also involving Machine Learning and Natural Language Processing technologies. Roles & Responsibilities: Develops and delivers robust technology solutions in a regulated environment by collaborating with business partners, information systems (IS) colleagues and service providers Authors documentation for technical specifications and designs that satisfy detailed business and functional requirements Works closely with business and IS teams to find opportunities Responsible for crafting and building end-to-end solutions using cloud technologies (e.g. Amazon Web Services and Business Intelligence tools (e.g. Cognos, Tableau and Spotfire) or any other platforms Chips in towards design and rapid Proof-of-Concept (POC) development efforts for automated solutions that improve efficiency and simplify business processes. Quickly and iteratively prove or disprove the concepts being considered. Ensures design, development of software solutions is meeting Amgen architectural, security, quality and development guidelines Participates in Agile development ceremonies and practices Write SQL queries to manipulate and visualize data using data visualization tools Basic Qualifications and Experience: Master’s degree with 2 - 6 years of experience in software engineering experience OR Bachelor’s degree with 4 - 6 years of experience in software engineering experience OR Diploma with 6- 8 years of experience in software engineering experience Functional Skills: Must-Have Skills: Experience and proficient with at least one development programming language/technologies such as Database SQL or Python Experience with at least one Business Intelligence tool such as Cognos, Tableau or Spotfire Familiarity with automation technologies UiPath and a desire to learn and support Experience in Mulesoft and ETL technologies (e.g. Informatica, DataBricks) Experience with AWS/cloud storage, hosting, and compute environments is required Good-to-Have Skills: Solid understanding of using one or more general programming languages, including but not limited toJava or Python Outstanding written and verbal communication skills, and ability to explain technical concepts to non-technical clients Sharp learning agility, problem solving and analytical thinking Experienced in managing GxP systems and implementing GxP projects Extensive expertise in SDLC, including requirements, design, testing, data analysis, change control Professional Certifications: Understanding and experience with Agile methodology and DevOps Soft Skills: Strong communication and presentation skills Ability to work on multiple projects simultaneously Expertise in visualizing and manipulating large data sets Willing to learn to new technologies High learning agility, innovation, and analytical skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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 an accommodation.

PRODUCT QUALITY SPECIALIST What you will do Let’s do this. Let’s change the world. In this vital role you will provide technical expertise and product leadership to the Product Quality (PQ) organization. As a product support staff in Quality, the Product Quality Specialist has responsibility for working with Product Quality Leaders (PQL), International Distribution Quality, Quality Control, Regulatory, Process Development, Quality Assurance and other groups on projects including support of product specifications, in-process controls, periodic and annual product review, and complaint resolutions. Amgen offers the opportunity to be at the interface between research, global development and manufacturing to ensure that our molecules become medicines. Many of the technologies we’re employing are not only new to Amgen but are new to the industry as a whole. Help us to pave new roads for helping patients. This role will support one or more late-stage and/or commercial biologics or synthetics products. The individual will provide project support to the relevant Product Quality Team (PQT) to implement and manage strategy for Quality to meet the Product Quality goals. The individual will be directly responsible for Product Quality related tasks including authoring and review of GMP and regulatory documents, execution of transactions in relevant GMP systems (document management system, complaint resolution system, data systems), and product data management, including stability, comparability assessments, periodic and annual product reviews (APR). In addition, the candidate will be expected to play a role in supporting Product Quality initiatives intended to ensure the overall product health. Support PQ work for late-stage and/or commercial biologic or synthetic programs, including actions required for the PQT, APR, specifications, comparability, stability programs, and PQ owned regulatory filing sections and responses to questions (RTQ) Support science and risk-based evaluation of complex process and product quality data such as in-process, release and stability data, complaints, method performance etc. What we expect of you Basic Qualifications and Experience: Doctorate degree in chemistry, biochemistry, biology, or a related pharmaceutical sciences field & 2 years of Quality, Operations, Scientific, or Manufacturing experience, or Master’s degree in chemistry, biochemistry, biology, or a related pharmaceutical sciences field & 6 years of Quality, Operations, Scientific, or Manufacturing experience, or Bachelor’s degree in chemistry, biochemistry, biology, or a related pharmaceutical sciences field & 8 years of Quality, Operations, Scientific, or Manufacturing experience or Preferred Qualifications: Must-Have Skills: Demonstrate proficiency in oral and written communication of complex information to Product Quality team members and peers Demonstrate proficiency in knowledge of cGMP and international regulatory expectations Strong scientific data management and organization skills with attention to detail Ability to deliver high quality results and adhere to project timelines using computer-based GMP Quality systems Ability to build and maintain multi-functional relationships and strong partnerships through written and verbal communication skills Good-to-Have Skills: Experience working virtually on a multi-functional team in a matrix environment across multiple time zones Expertise in computer applications such as Veeva, Spotfire, SHINY Expertise in MS Office (Word, Excel, PowerPoint, MS Teams) Soft Skills: Analytical and problem-solving skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully, react quickly to address urgent requests and meet challenging timelines 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.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring seamless communication among team members and stakeholders. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the application development process Ensure effective communication among team members and stakeholders Identify and address any issues or roadblocks in the development process Professional & Technical Skills: Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI) Strong understanding of data visualization tools such as Power BI Experience with implementing various BI solutions Hands-on experience in designing and configuring BI applications Solid grasp of data analysis and interpretation Additional Information: The candidate should have a minimum of 5 years of experience in Microsoft Power Business Intelligence (BI) This position is based at our Noida office A 15 years full-time education is required Qualification 15 years full time education

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

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 client's 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? Bachelor's or Master's 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 one's 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.

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