23 R Shiny Jobs

We are seeking a Clinical Programmer with expertise in JReview listings, dashboards, and visualizations to support clinical data review, safety monitoring, data validation and clinical data visualization, analysis, and reporting for clinical trials. Required Candidate profile 4+ Years of experience. MS SQL Server and R, R packages e.g., Tidyverse, ggplot2, dplyr, Pipeline creation, or Oracle, SAS, Python, Elluminate, BOXI, Spotfire, Tableau, Macros, RShiny, JReview, Plotly

Hello, We are looking for Data Scientist role to work with one of the American Multinational based at Bangalore/Chennai/Pune/Gurgaon/Hyderabad. Key Responsibilities: • R Programming Transition: Analyze and understand the existing application to effectively transition it to R. Re-write or optimize existing code to ensure efficiency and scalability in R. Transform R models to Python as needed. • R Shiny Dashboard Development: Design, develop, and implement interactive and visually appealing R Shiny Dashboards. Integrate data sources and ensure real-time data updates in the dashboards. Collaborate with stakeholders to gather requirements and provide dashboard solutions that meet business needs. • Cloud Server Hosting: Set up and configure AWS for hosting R Shiny Dashboards. Ensure secure, scalable, and reliable AWS hosting environments. • Project Leadership and Collaboration: Collaborate with cross-functional teams including data scientists, analysts, and IT staff. Required Skills and Qualifications: • Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field. • Proven experience in R programming and developing R Shiny applications and strong python skills. • Strong understanding of data manipulation and visualization in R. • Experience with cloud platforms such as AWS, Google Cloud, or Azure, specifically in deploying R Shiny Dashboards. • Familiarity with DevOps practices, including CI/CD pipelines and version control (e.g., Git). • Excellent problem-solving skills and ability to work independently and as part of a team. • Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Notice - Immediate/15 days/1 Month Interested candidates may apply on saritha.nair@reynasolutions.com Regards, Sarita Nair

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for Research Informatics and you will be responsible for development and maintenance of software in support of target/biomarker discovery at Amgen. This role requires proficiency in code development (e.g. Python, R, etc), and some knowledge of CI/CD processes and cloud computing technologies (e.g. AWS, Google Cloud, etc). Additionally, the ability to work with cross functional teams and experience in agile practices is desired. Develop software to transform and visualize omics (genomics, proteomics, transcriptomics) data using programming languages such as Python, Java, R. Develop data processing pipelines for large datasets in the cloud (e.g. Nextflow); integrate with other data sources where applicable Collaborate with the other engineering team members to ensure all services are reliable, maintainable, and well-integrated into existing platforms Adhere to best practices for testing and designing reusable code What we expect of you Master’s degree and 1 to 3 years of in Software Development, IT, or related field, OR Bachelor’s degree and 3 to 5 years of in Software Development, IT, or related field, OR Diploma and 7 to 9 years of in Software Development, IT, or related field. Basic Qualifications: Proficiency in code development (Python, R) and the software development lifecycle Proficient with SQL and relational databases (e.g PostgreSQL, MySQL, Oracle) Experience with command-line interface on Linux-based systems Preferred Qualifications: 2+ years of experience in biopharma or life sciences Experience in RESTFul API development e.g flask, MuleSoft Experience in pipeline development using one or more of the following programming languages (Python, Nextflow, etc) Experience with Databricks Experience with cloud computing platforms and infrastructure Experience with Application development (Django, RShiny, Ploty Dash, etc) Work experience in the biotechnology or pharmaceutical industry. Experience using and adopting Agile Framework Soft Skills: Strong learning agility, ability to pick up new technologies used to support early drug discovery data analysis needs Collaborative with good communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. 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 .

Role Summary: This role demands experienced developers to create detailed member level information supporting the MART application development which involves Application (UX) development and integration with data sources , ETL pipeline development. Responsibilities: Design, develop, and maintain the user interface (UI) of the MART application using R Shiny, JavaScript, and CSS, ensuring a seamless and intuitive user experience. Develop and maintain efficient and scalable ETL pipelines using GCP Dataform and BigQuery to extract, transform, and load data from various on-premise (Oracle) and cloud-based sources. This includes leveraging Big R query for accessing on-premise Oracle data. Develop and implement data manipulation and transformation logic in R, creating a longitudinal data format with unique member identifiers. Develop and implement comprehensive logging and monitoring using Splunk. Collaborate with other developers, data scientists, and stakeholders to ensure the timely delivery of high-quality software. Participate in all phases of the software development lifecycle, from requirements gathering and design to testing and deployment. Contribute to the maintenance and improvement of existing application functionality. Work within a Git-based version control system. Manage data in a dedicated GCP project, adhering to best practices for cloud security and scalability. Contribute to the creation of summary statistics for groups via the Population Assessment Tool (PAT). Required Skillsets: Strong proficiency in R Shiny for UI development. Strong proficiency in JavaScript, CSS, and HTML for front-end development. Proven experience in designing, developing, and maintaining ETL pipelines, preferably using GCP Dataform and BigQuery. Experience with data manipulation and transformation in R, including creating longitudinal datasets. Experience working with on-premise databases (Oracle), preferably using Big R query for data access. Experience with Git for version control. Experience with Splunk for logging and monitoring. Experience working with cloud platforms, specifically Google Cloud Platform (GCP). Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Good to Have Skillsets: Experience with Tableau for dashboarding and data visualization. Experience with advanced data visualization techniques. Experience working in an Agile development environment. Shift Requirement: 3PM to 12 midnight

Manager Programming & Web Applications What you will do Guide and support junior team members by offering technical advice, conducting code reviews, and sharing knowledge to promote their professional development Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Oversee the work of outsourced resources assigned to project Lead and/or participate in the development and review of CfOR Policies, SOPs and other controlled documents Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization Enhance and support existing R Shiny applications with a focus on front-end improvements Provide support for the Atlas web-based application from the OHDSI community Develop and implement web solutions using HTML, CSS, and JavaScript Collaborate with stakeholders to understand their requirements and translate them into technical solutions Implement CI/CD processes to ensure efficient and reliable deployment of applications Manage and optimize data workflows to support efficient data processing and analysis Stay updated with R programming trends and integrate new technologies as needed Establish coding standards and best practices for R package and R Shiny development Optimize performance and refactor code to enhance efficiency and reliability Validate and test software tools What we expect of you We are all different, yet we all use our unique contributions to serve patients. Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in programming projects and Experience in R Shiny, HTML, CSS, and JavaScript. Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field At least six (6) years of relevant experience in full stack development Preferred Qualifications: Master's degree in Computer Science, Information Technology or other relevant scientific subject Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience working with the OHDSI community and supporting Shiny applications Familiarity with Real-World Evidence and its applications in observational studies Experience: Developing and maintaining web applications using R Shiny Supporting and enhancing web-based applications in a collaborative environment Collaborating with multi-functional teams to deliver technical solutions that meet user requirements Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Key Competencies Required: Proficient in R and R Shiny (Intermediate) Required: HTML (Expert) Required: CSS (Expert) Required: JavaScript (Expert) Preferred: Python (Intermediate) Git workflows using version control Continuous Integration and Continuous Deployment (CI/CD) Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, Market Scan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail Learning attitude

Responsibilities: Design, develop, and maintain the user interface (UI) of the MART application using R Shiny, JavaScript, and CSS, ensuring a seamless and intuitive user experience. Develop and maintain efficient and scalable ETL pipelines using GCP Dataform and BigQuery to extract, transform, and load data from various on-premise (Oracle) and cloud-based sources. This includes leveraging Big R query for accessing on-premise Oracle data. Develop and implement data manipulation and transformation logic in R, creating a longitudinal data format with unique member identifiers. Develop and implement comprehensive logging and monitoring using Splunk. Collaborate with other developers, data scientists, and stakeholders to ensure the timely delivery of high-quality software. Participate in all phases of the software development lifecycle, from requirements gathering and design to testing and deployment. Contribute to the maintenance and improvement of existing application functionality. Work within a Git-based version control system. Manage data in a dedicated GCP project, adhering to best practices for cloud security and scalability. Contribute to the creation of summary statistics for groups via the Population Assessment Tool (PAT). Required Skillsets: Strong proficiency in R Shiny for UI development. Strong proficiency in JavaScript, CSS, and HTML for front-end development. Proven experience in designing, developing, and maintaining ETL pipelines, preferably using GCP Dataform and BigQuery. Experience with data manipulation and transformation in R, including creating longitudinal datasets. Experience working with on-premise databases (Oracle), preferably using Big R query for data access. Experience with Git for version control. Experience with Splunk for logging and monitoring. Experience working with cloud platforms, specifically Google Cloud Platform (GCP). Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Good to Have Skillsets: Experience with Tableau for dashboarding and data visualization. Experience with advanced data visualization techniques. Experience working in an Agile development environment. Shift Requirement: 3PM to 12 midnight

Strong in R Shiny, JavaScript, CSS, HTML. Experience with GCP (Dataform, BigQuery), Oracle (Big R query). Skilled in R-based data transformation. Proficient in Git, Splunk, and cloud-based development (GCP)

Required Skills: Strong proficiency in R programming , including data wrangling (dplyr, tidyr, etc.) and data visualization (ggplot2, plotly) . Hands-on experience with Shiny and Shiny Dashboard development. Knowledge of HTML, CSS, and JavaScript to enhance Shiny app front-end functionality. Experience working with RMarkdown , flexdashboard , or shinyWidgets . Familiarity with version control (Git) . Understanding of basic statistical analysis and data modeling . Experience connecting Shiny apps to SQL databases , APIs , or other data sources. Ability to troubleshoot and debug Shiny applications efficiently.

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 Let’s do this. Let’s change the world. In this vital role you will Guide and support junior team members by offering technical advice, conducting code reviews, and sharing knowledge to promote their professional development Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Write and/or review and approve all programming plans Oversee the work of outsourced resources assigned to project Lead and/or participate in the development and review of CfOR Policies, SOPs and other controlled documents Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization Enhance and support existing R Shiny applications with a focus on front-end improvements Provide support for the Atlas web-based application from the OHDSI community Develop and implement web solutions using HTML, CSS, and JavaScript Collaborate with stakeholders to understand their requirements and translate them into technical solutions Implement CI/CD processes to ensure efficient and reliable deployment of applications Manage and optimize data workflows to support efficient data processing and analysis Stay updated with R programming trends and integrate new technologies as needed Establish coding standards and best practices for R package and R Shiny development Optimize performance and refactor code to enhance efficiency and reliability Validate and test software tools What we expect of you We are all different, yet we all use our unique contributions to serve patients. Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in programming projects and Experience in R Shiny, HTML, CSS, and JavaScript. Basic Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field At least six (6) years of relevant experience in full stack development Preferred Qualifications: Master’s degree in Computer Science, Information Technology or other relevant scientific subject Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience working with the OHDSI community and supporting Shiny applications Familiarity with Real-World Evidence and its applications in observational studies Experience: Developing and maintaining web applications using R Shiny Supporting and enhancing web-based applications in a collaborative environment Collaborating with multi-functional teams to deliver technical solutions that meet user requirements Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Key Competencies RequiredProficient in R and R Shiny (Intermediate) RequiredHTML (Expert) RequiredCSS (Expert) RequiredJavaScript (Expert) PreferredPython (Intermediate) Git workflows using version control Continuous Integration and Continuous Deployment (CI/CD) Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, Market Scan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail Learning attitude 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.

Job Description- Designation: R Shiny Developer Desired Skills & Experience : 3- 6 years of professional work experience developing and deploying Shiny web applications Advanced programming skills in R (including experience with the tidy verse suite of packages) Knowledge of web development technologies including JavaScript, JSON, CSS, and HTML. Proficient R debugging skills to reduce code bottle necks, optimize and refactor code base to improve efficiency, clean shiny reactivity and reduce overall memory usage. Proficiency in Python programming. Experience with SQL and data retrieval. Ability to work in a highly collaborative environment as well as the ability to work independently with minimum supervision. Be a champion R Shiny consultant to guide, discuss and implement best web development features to R Shiny applications. Thinking out of the box implementation solutions (Generally, not found on Google Search). Resourcefulness in solving problems and developing solutions. Quick Learning and Implementation attitude. Ability to take ownership of a technical challenge and see it through to a successful conclusion. Excellent written and verbal communication skills. Tremendous passion towards learning is a must. You must be able to merge the art of consulting and the science of Design in visualization. Drive and energy to work hard and achieve success in an entrepreneurial environment. Additional Details- Mandatory Skill set - R Shiny Development Minimum Experience - 3 to 6 years Notice Period - Immediate to 30 Days

We are seeking a highly skilled and motivated individual to join our team as a model/UI developer. The ideal candidate should have advanced programming skills in R and R Shiny, with a background in the finance industry and excellent communication skills. Knowledge of structured finance would be a plus. In the event that we are unable to find suitable candidates with R programming expertise, experience in application development using Python, C++ or Java in the same order of preference will also be considered. Responsibilities: - Utilize advanced programming skills in R to develop and implement credit rating models and algorithms - Leverage R shiny skills to build intuitive and user friendly UI - Collaborate with analytical teams to correctly translate criteria documents and design and implement models - Communicate complex concepts and findings to both technical and non-technical stakeholders - Stay up-to-date with industry trends and best practices in UI design and financial programming Requirements: - Advanced programming skills in R and R Shiny, with a strong understanding of statistical analysis and UI/UX design - Background in the finance industry, with knowledge of financial markets and instruments - Excellent communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders - Strong problem-solving and analytical abilities - Experience with structured finance is preferred, but not required - Experience in application development using Python, Java, or C++ if not proficient in R/ R Shiny

1. 4+ years of experience in MMM / Market Mix Modelling 2. Mandatory experience in R / R Shiny / R Studio

Sr Associate Biostatistical Programming What you will do Let’s do this. Let’s change the world. In this vital role you will Enhance and support existing R Shiny applications with a focus on front-end improvements Provide support for the Atlas web-based application from the OHDSI community Develop and implement web solutions using HTML, CSS, and JavaScript Collaborate with stakeholders to understand their requirements and translate them into technical solutions Participate in continuous integration and continuous deployment (CI/CD) processes Manage and optimize data workflows to support efficient data processing and analysis Maintain clear and effective communication with team members and stakeholders Provide technical solutions to programming problems within CfOR Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage all programming activities, according to agreed resource and timeline plans Ensure all programming activities on the project adhere to departmental standards Provide input to and participate in intra-departmental and CfOR meetings Stay updated with R programming trends and integrate new technologies as needed Establish coding standards and best practices for R package and R Shiny development Optimize performance and refactor code to enhance efficiency and reliability Validation and testing software tools. What we expect of you We are all different, yet we all use our unique contributions to serve patients. This crucial role involves generating Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. This individual contributor programming role will collaborate with teams across multiple time zones to fulfill requests, clarify requirements, escalate issues, and deliver high-quality results. The Senior Statistical Programmer will report to a locally based Manager. The Senior Statistical Programmer will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for enhancing existing R Shiny applications and providing support for the Atlas web-based application from the OHDSI community. The ideal candidate should possess a bachelor’s degree and have at least four years of relevant career experience in full stack development. Proficiency in R and R Shiny is required, along with a strong working knowledge of HTML, CSS, and JavaScript programming. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Basic Qualifications: Bachelor's degree with 3-5 Years in Computer Science, Information Technology, or a related field Preferred Qualifications: Master’s degree in Computer Science, Information Technology or other relevant scientific subject Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience working with the OHDSI community and supporting Shiny applications Familiarity with Real-World Evidence and its applications in observational studies Experience: Developing and maintaining web applications using R Shiny Supporting and enhancing web-based applications in a collaborative environment Collaborating with multi-functional teams to deliver technical solutions that meet user requirements Key Competencies RequiredProficient in R and R Shiny (Basic) RequiredHTML (Intermediate) RequiredCSS (Intermediate) RequiredJavaScript (Intermediate) PreferredPython (Basic) Git workflows using version control Continuous Integration and Continuous Deployment (CI/CD) Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail Learning attitude 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.

Python + R Shiny + AWS

About Argus: Argusis the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with over 1,400 staff,Argusis an independent media organisation with 30 offices in the worlds principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trustArgusdata to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning.Argusprices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970,Argusremains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. ArgusMedia is committed to ensuring career and personal growth for all its staff and provides extensive training and career development opportunities, as well as participation in employee-led initiatives, including a women’s network. Our core values are Excellence, Integrity, Partnership and Inclusivity. What will you be doing? An exciting opportunity has arisen for a senior data scientist with expertise in R, R-Shiny and SQL to join our growing Data Science team in Mumbai. You will work closely with our Head of Data Science India, and our global team to support the development of new products for analytics with a particular focus on Petrochemicals. You will be responsible for building impactful data science solutions for business use cases, conducting research on large complex data sets to uncover meaningful patterns in data, employing mathematical and computational techniques to clean, manipulate, organise and model data into actionable insights and results. Apply novel data science, machine learning and statistical techniques to provide an unbiased and quantitative solution to critical business problems. Develop, structure and investigate your ideas by constructing hypotheses, testing them rigorously, conducting analyses, creating user prototypes, facilitating UAT, and finally presenting recommendations for improvement to current business processes. Build user-focused data science/analytics products based on novel business use cases for internal as well as external stakeholders. Develop and maintain models with a focus on commodity prices dynamics. Write production-level code (clean, optimised and well-documented code) Communicate findings timely through impressive visuals and insightful statistics. What we’re looking for? Degree in mathematics, finance, statistics, engineering, computer science or related field. Experience with statistics, regression, time series and econometrics is preferred. 4+ years Hands-on experience working in R and R-Shiny, good command over SQL with a passion for open-source solutions 2+ years’ experience in project management & team management Robust Knowledge of Data Structures & Algorithms, APIs, ETL processes, testing methodologies, cloud technologies (AWS). Experience with designing and building exploratory data analysis and data visualisation Solution-oriented mindset and self-directed. Experience in using version control software, project management solutions Believe in the following Argus values: Passion, Integrity, Excellence and Results. What’s in it for you: Competitive salary Hybrid Working Policy (3 days in Mumbai office/ 2 days WFH once fully inducted) Group healthcare scheme 18 days annual leave 8 days of casual leave Extensive internal and external training Hours: This is a full-time position operating under a hybrid model, with three days in the office and up to two days working remotely. The team supports Argus’ key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 11pm to 8pm with each member of the team participating up to 2/3 times a week.

About Argus: Argusis the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with over 1,400 staff,Argusis an independent media organisation with 30 offices in the worlds principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trustArgusdata to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning.Argusprices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970,Argusremains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. ArgusMedia is committed to ensuring career and personal growth for all its staff and provides extensive training and career development opportunities, as well as participation in employee-led initiatives, including a women’s network. Our core values are Excellence, Integrity, Partnership and Inclusivity. What will you be doing? An exciting opportunity has arisen for a senior data scientist with expertise in R, R-Shiny and SQL to join our growing Data Science team in Mumbai. You will work closely with our Head of Data Science India, and our global team to support the development of new data science products. You will be responsible for building impactful data science solutions for business use cases, conducting research on large complex data sets to uncover meaningful patterns in data, employing mathematical and computational techniques to clean, manipulate, organise and model data into actionable insights and results. Apply novel data science, machine learning, operations research and statistical techniques to provide an unbiased and quantitative solution to critical business problems. Develop, structure and investigate your ideas by constructing hypotheses, testing them rigorously, conducting analyses, creating user prototypes, facilitating UAT, and finally presenting recommendations for improvement to current business processes. Build user-focused data science/analytics products based on novel business use cases for internal as well as external stakeholders. Develop and maintain models with a focus on commodity prices dynamics. Write production-level code (clean, optimised and well-documented code) Communicate findings timely through impressive visuals and insightful statistics. What we’re looking for in you: Degree in mathematics, finance, statistics, engineering, computer science or related field. Experience with statistics, regression, time series, econometrics, and mathematical optimisation is preferred. Good understanding of fundamentals concepts of operational research and when they should be applied through a relevant academic or work experience. Demonstratable experience in analytical modelling and solving mathematical optimisation problems (e.g., Linear Programming, Mixed Integer Linear Programming, etc) using relevant packages in R programming language. 4+ years Hands-on experience working in R and R-Shiny, good command over SQL with a passion for open-source solutions 2+ years’ experience in project management & team management. Knowledge of APIs, ETL processes, testing methodologies, cloud technologies (AWS) Experience with designing and building exploratory data analysis and data visualisation Solution-oriented mindset and self-directed. Experience in using version control software, project management solutions Believe in the following Argus values: Passion, Integrity, Excellence and Results. Benefits: Competitive salary and company bonus scheme Flexible Working Policy Group healthcare scheme 18 days annual leave 8 days casual leave Extensive internal and external training Note: This is Fixed Term Contract role for 12 Months

About Argus: Argusis the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with over 1,400 staff,Argusis an independent media organisation with 30 offices in the worlds principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trustArgusdata to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning.Argusprices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970,Argusremains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. ArgusMedia is committed to ensuring career and personal growth for all its staff and provides extensive training and career development opportunities, as well as participation in employee-led initiatives, including a women’s network. Our core values are Excellence, Integrity, Partnership and Inclusivity. What will you be doing? An exciting opportunity has arisen for an associate data scientist with expertise in R, R-Shiny and SQL to join our growing Data Science team in Mumbai. You will work closely with other data scientist, under guidance from Head of Data Science India, and our global teams to support the development of new products for analytics with a particular focus on Petrochemicals. You will be responsible for building impactful data science solutions for business use cases, conducting research on large complex data sets to uncover meaningful patterns in data, employing mathematical and computational techniques to clean, manipulate, organise and model data into actionable insights and results. Apply novel data science, machine learning and statistical techniques to provide an unbiased and quantitative solution to critical business problems. Develop, structure and investigate your ideas by constructing hypotheses, testing them rigorously, conducting analyses, creating user prototypes, facilitating UAT, and finally presenting recommendations for improvement to current business processes. Build user-focused data science/analytics products based on novel business use cases for internal as well as external stakeholders. Develop and maintain models with a focus on commodity prices dynamics. Write production-level code (clean, and well-documented code) Communicate findings through impressive visuals and insightful statistics. What we’re looking for? Degree in mathematics, finance, statistics, engineering, computer science or related field. Experience with statistics, regression, time series and econometrics is preferred. 1-2 years Hands-on experience working in R and R-Shiny, good command over SQL with a passion for open-source solutions. Knowledge of APIs, ETL processes, testing methodologies. Experience with exploratory data analysis and data visualisation. Solution-oriented mindset and self-directed. Experience in using version control software. Believe in the following Argus values: Passion, Integrity, Excellence and Results. What’s in it for you: Competitive salary Hybrid Working Policy (3 days in Mumbai office/ 2 days WFH once fully inducted) Group healthcare scheme 18 days annual leave 8 days of casual leave Extensive internal and external training Hours: This is a full-time position operating under a hybrid model, with three days in the office and up to two days working remotely. The team supports Argus’ key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 11pm to 8pm with each member of the team participating up to 2/3 times a week.

About Argus: Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with over 1,400 staff, Argus is an independent media organisation with 30 offices in the worlds principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. Job Purpose: Due to the continued growth of the business and the importance of the data we use on a daily basis, we are currently looking for a for a data team lead to join our global Data team in Mumbai. You will work closely with internal clients of the data team to support and maintain R (incl. R Shiny), Excel and database-based processes for gathering data, calculating prices and producing the reports and data feeds. The work also involves writing robust automated processes in R. The team supports Argus key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 10am to 7pm with each member of the team participating 2/3 times a week. Key Responsibilities: Create an inspiring team environment with an open communication culture Delegate tasks and set deadlines Oversee day-to-day operations Monitor team performance and report on metrics Motivate team members Discover training needs and provide coaching Listen to team members feedback and resolve any issues or conflicts Recognize high performance and reward accomplishments Project management Support and development of data processingsystems Data and systems support to Argus’ staff Support and training of junior team members Maintenance and development of existing systems Required Skills and Experience: Proven work experience as a team leader or supervisor Excellent communication and leadership skills Organizational and time-management skills Decision-making skills Significant recent experience of developing tools using R (incl., R Shiny applications) in a commercial (work) environment. Good knowledge and experience of SQL, preferably in Oracle or MySQL, including stored procedures, functions and triggers. Experience with version control systems (e.g., Git) and Unit Testing in R is required. Ability to work both as part of a team and autonomously Excellent communication skills At least 2 years’ experience in a similar role and at least 5 years’ experience overall. Desired Skills and Experience: BS degree in Computer Science, Mathematics, Business, Engineering or related field. Experience in visualisation techniques is desirable. Any experience working with energy markets and commodities data is highly desirable Experience developing production-grade scalable applications in R. Personal Attributes: Ability to interact with non-technical people in plain language Innovative thinker with good problem-solving abilities and attention to detail Numerically proficient Self-motivated with ability to work independently, prioritising tasks to meet deadlines Customer service focused Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Benefits: Competitive salary Flexible Working Policy Group healthcare scheme 18 days annual leave 8 days casual leave Extensive internal and external training Note: This is Fixed Term Contract for 18 Months

1. Mandatory MMM / Market Mix Modelling experience - 9+ years 2. Mandatory experience in R 3. Hybrid Working 4. Bangalore Location

JPC REQ - R Shiny - 3+ years - PAN INDIA - 1 LPM - --Swati--------C2H-----Persistent---Vikas Location - Lakshadweep,chandigarh,dadra,daman,delhi,diu,goa,haveli,pondicherry,sikkim

Role & responsibilities Create and Validate Safety and Efficacy Analysis Datasets in adherence with CDISC and client specific standards and maintain quality and accuracy. Create and Validate Safety and Efficacy Tables, Listings and Figures with high quality and accuracy. Create Study specific or general macros and finalize programming specifications/mock-ups. Adhere to programming specifications and study specific requirements, including completion and filing of required documentation. Plan and organize workload to ensure effective time management and adherence to project specific timelines. MUST HAVE Skillsets: Work experience in a SDTM and ADAM programming Experience with R Data Structures in R (metrices, vectors), creating datasets using data frame Date formatting and character functions in R Experience List of packages exposed like DPLYR, TIDYVERSE, HAVEN, ADMIRAL, LUBRIDATE, STRINGR etc. Experienced with functions like Summary, Count, Mutate, Paste, Paste0. Experience in GGPLOT2 Experience in R-Shiny, R Markdown, Statistical Models are optional Experience in creation of ADaM Datasets for Safety and efficacy domains. Perks and benefits: Remote opportunity based on requirement Cab facility for Hybrid employees

Key Responsibilities: Design and implement data models, transformation workflows, and analytics layers to support self-service BI and analytics. Implement and maintain scalable analytics solutions by combining advanced data visualization and software development techniques. Create dynamic and interactive dashboards, reports, data visualizations, and applications to provide end-users with intuitive access to insights. Collaborate with stakeholders to gather requirements and design tailored analytics applications and visualizations. Ensure data accuracy, consistency, and quality across all analytics deliverables. Build analytics-ready data models and semantic layers using Microsoft Power BI and other Microsoft ecosystem tools. Provide support to business users for utilizing self-service BI and analytics platforms effectively. • Create APIs and workflows for seamless integration of analytics with external systems or custom applications. Monitor analytics systems and troubleshoot technical issues, providing support and improvements as needed. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Perform other duties as required Skills and Abilities: Proficiency in Business Intelligence tools such as Power BI, with hands-on experience integrating R or Python-based solutions and creating complex, interactive visualizations. Expertise in developing custom interactive applications and dashboards using tools like R Shiny, Dash, or Streamlit, focusing on building intuitive, data-driven user interfaces for real-time analysis and decision-making. Advanced SQL skills for data manipulation, query optimization, and building analytics-ready datasets. Familiarity with cloud-based analytics solutions, particularly Microsoft Azure and Databricks. Strong understanding of analytics performance optimization techniques, such as query tuning and indexing. Knowledge of software engineering principles, including modular code design, version control (e.g., Git), and CI/CD pipelines. Experience in API development and integration, including RESTful APIs. Proficiency in data visualization libraries like ggplot2, Plotly, or equivalent tools to support custom visualization needs. Strong programming skills in Python or R for data manipulation, analysis, and integration. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively Excellent interpersonal and presentation skills to build strategic relationships with colleagues, stakeholders, and partners. Strong critical thinking skills to generate innovative solutions and improve business processes. • Ability to effectively communicate complex technical concepts to both technical and nontechnical audiences Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications: Bachelors degree. 6 years of related experience. Equivalent additional directly related experience will be considered in lieu of a degree.