26 R Shiny Jobs

As a Solution Implementation Manager at Crowe, you will play a crucial role in leading and executing implementation projects while closely collaborating with senior stakeholders and clients to deliver value to financial institution clients. Your responsibilities will involve leading teams of analysts, working independently on engagements, and implementing out-of-the-box/customization solutions mainly in the financial crime domain, requiring a strong understanding of anti-money laundering and the banking industry. Your qualifications and experience should include being a Certified CAMS or willing to obtain certification, having a minimum of 3 years of experience working on AML platforms such as Verafin, SAS, Oracle, Actimize AML, WLF, and Fraud, and familiarity with internally hosted or vendor-hosted cloud solutions. You should be well-versed in AWS and Google Cloud implementation of Solutions, with exposure to Docker, Github, UNIX, and Windows implementations. Proficiency in coding in Java, Python, and SQL is essential, and additional skills in Scala, SAS, Oracle, MsSQL, and data visualization tools like Tableau, MS Power BI, R Shiny would be advantageous. Understanding and experience in Machine Learning/AI is also desirable. Your role will involve setting and achieving deadlines and objectives, working on both external and internal projects, and possessing strong communication and interpersonal skills to engage effectively with company/client executives. You should be able to work collaboratively within a team and manage multiple projects simultaneously. In addition to technical skills, we expect you to embody Crowe's values of Care, Trust, Courage, and Stewardship, acting ethically and with integrity at all times. As a part of our inclusive culture that values diversity, you will have the opportunity to work with a Career Coach who will help guide you in achieving your career goals and aspirations. Crowe offers a comprehensive benefits package to its employees, recognizing that great people are at the core of a great firm. As you grow within the organization, you will have the opportunity to thrive in an environment that fosters talent and supports individual development. Crowe Horwath IT Services Private Ltd. is a wholly owned subsidiary of Crowe LLP (U.S.A.), a global public accounting, consulting, and technology firm with a presence across the world. Crowe LLP is an independent member firm of Crowe Global, a leading global accounting network comprising over 200 independent accounting and advisory firms in more than 130 countries. Please note that Crowe does not accept unsolicited candidates, referrals, or resumes from staffing agencies or third-party services without a prior agreement. Candidates not submitted through the appropriate channels will be considered the property of Crowe, and no fees will be charged for such submissions.,

As a Senior R Shiny Developer, you will be responsible for designing, building, and maintaining enterprise-grade R Shiny applications that convert complex data into intuitive, interactive web interfaces. Your expertise in the full R Shiny application lifecycle, from conception to deployment, with a focus on cloud infrastructure and security, will be crucial to the success of our team. Your key responsibilities will include designing and developing sophisticated R Shiny applications, creating responsive and high-performance interfaces, implementing complex statistical models and data visualizations, and deploying applications across cloud platforms. Additionally, you will containerize applications using Docker, establish robust user authentication and authorization systems, and optimize connections to various databases. To excel in this role, you should possess at least 5 years of experience developing R Shiny applications for enterprise environments. Advanced proficiency in R programming, knowledge of Shiny reactive programming patterns, and experience with building and deploying production Shiny applications are essential. Proficiency in R Markdown, flexdashboard, package development, and containerization using Docker is required. Expertise in cloud deployment on AWS, Azure, or GCP, as well as knowledge of authentication systems and database integration, will be beneficial. Preferred qualifications include experience with Shiny Server Pro or RStudio Connect administration, knowledge of load balancing and scaling Shiny applications, and familiarity with Kubernetes for containerized Shiny applications. Additionally, a background in data science or statistical analysis using R, contributions to open-source R packages, and experience in the pharmaceutical industry will be advantageous. In terms of technical expertise, you should be proficient in the R package ecosystem, R performance optimization, parallel processing in R, authentication methods, database connectivity, cloud-specific R integrations, containerization, front-end technologies integration, version control, and testing frameworks. In return, we offer you the opportunity to work on challenging data-driven applications in a collaborative environment with shiny developers and domain experts. You will receive a competitive salary and benefits package along with professional development opportunities. If you are passionate about creating powerful shiny applications and possess the technical expertise required to build scalable, secure Shiny solutions, we would love to hear from you.,

As a Data Engineer at SaveLIFE Foundation, you will be a crucial part of the team responsible for creating, developing, and maintaining data-driven solutions that align with our goal of utilizing technology and evidence-based interventions to save lives. This role is suited for individuals who appreciate the dynamics of small organizations, are adept at handling multiple tasks, and thrive in a flexible work environment. Working within a compact team, you will be expected to take on various responsibilities, encourage innovation, and have the chance to create a substantial, tangible difference! Your main duties will involve extensive coding using Python and PHP to automate and enhance data workflows and applications. You will also be tasked with the development and upkeep of PHP-based applications that seamlessly integrate with data pipelines and backend systems. Additionally, you will be responsible for organizing, cleaning, and converting data from diverse sources like SQL databases, APIs, and scraped content, ensuring a high degree of automation wherever feasible. Collaboration with stakeholders to grasp requirements, identify challenges, and devise efficient data solutions to improve decision-making will also be a key aspect of your role. You will contribute valuable insights by leveraging analytical tools and supporting data visualization initiatives. Furthermore, constructing and sustaining data pipelines to facilitate real-time and batch data processing, as well as integrating third-party APIs for data extraction and updates, will be essential tasks. Your involvement in working alongside cross-functional teams to test, deploy, and refine solutions within a production environment will also be crucial. In terms of technical skills, proficiency in Python, SQL, and PHP is a must. You should possess experience in building robust backend systems using PHP frameworks like Laravel, Symfony, or CodeIgniter, as well as in constructing and managing data pipelines in real-world settings. Proficiency in utilizing Python libraries such as requests, scrapy, pandas, and sqlalchemy for ETL (Extract, Transform, Load) operations is crucial. Experience in working with third-party APIs and integrating them into backend applications is also required. A strong understanding of relational databases and data modeling techniques is essential, along with familiarity with tools like Airflow, Kafka, and PySpark for data engineering workflows. Hands-on experience with cloud platforms like AWS for hosting and scaling solutions, as well as familiarity with DevOps tools like Docker and Terraform, is necessary. Proficiency in debugging and optimizing PHP-based systems and database interactions is also expected. Qualifications & Experience: - A Bachelor's degree in Computer Science, Data Science, or a related technical field. - At least 2 years of experience in data engineering, software development, or related roles. Preferred Skills: - Experience with R and R Shiny is considered advantageous. - Familiarity with PHP database interactions (PDO, MySQLi) and knowledge of security best practices is beneficial. Personal Characteristics: - Demonstrated ability to work both independently and collaboratively in a fast-paced, multicultural setting. - Strong communication skills, both verbal and written, in English. - A genuine passion for leveraging technology and evidence-informed solutions to enhance lives. - An open-minded self-starter who excels in tackling new, complex challenges. - A deep dedication to SaveLIFE Foundation's mission of creating a meaningful impact in underserved communities.,

Lead one or more application development projects. Responsible for project level programming or app development activities Role & responsibilities Provide leadership, guidance, and hands-on support to Develop data analysis solution for complex business problems in collaboration with biostatisticians and Statistical programmers e.g., R Shiny / Python web application Ensure technical validity, compliance to standards and SOPs, regulatory requirements Test, debug and optimize applications to ensure they work as expected, using both manual and automated testing techniques and provide documentation as per Computer System Assurance guidance Develop and maintain deployment and configuration instructions and ensure performance, security, and scalability of deployed applications Provide technical support to junior level programmers on day-to-day assigned activities Ensure efficient communication with Team Preferred candidate profile Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. At least 6 years of programming experience (3+ for R, R Shiny) in analyzing and visualizing clinical trial data in the pharmaceutical industry, producing deliverables for submission. Advanced statistical computing software skills (e.g., SAS, R and R Shiny Framework) in a clinical data environment across multiple therapeutic areas, thorough understanding of relational databases and their correlation to submission-ready database structure (CDISC data structure requirements) Demonstrated programming experience and proficiency with R, R Shiny, tidyverse packages and R Markdown in building advanced R packages and modular Shiny apps (or other development stack) Excellent knowledge of Good Programming Practices and CDISC standards Ability to perform, coordinate and oversee the preparation, execution, reporting and documentation of all programming deliverables of a project, with minimal supervision. Strong project management skills Excellent written and verbal communication skills in an English global environment

Company: Marsh Description: We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office Business Title Lead Specialist - Actuarial No. Of Roles1 LocationMumbai Last Date to Apply 18th June We will count on you to: Deliver internal and client-facing climate modelling projects within the APAC region. Contribute to the interpretation of catastrophic events within the framework of climate variability. Conduct data analysis and statistical modeling of climate trends and signals related to long-term climate change, ensuring accurate documentation of methodologies and results for a diverse range of audiences. Help organizations of all shapes and sizes access and benefit from climate risk analysis in a way relevant to their businesses. Work collaboratively in multi-disciplinary teams of engineers, actuaries, and catastrophe modelers. What you need to have: Masters degree + 2 years of work experience in the area climate modelling and/or climate risk or Ph.D., in climate risk and/or climate modelling. Advanced knowledge of current climate science research, the physical processes of climate change, global climate models, and methodologies related to CMIP, downscaling, and bias correction, including ability to work with NetCDF / raw climate data from ECMWF / reanalysis data. Demonstrated experience in integrating statistical methods with climate physical data to effectively address uncertainty. Proficiency in coding, particularly in R, Python, or any scripting language, is highly advantageous along with experience in RShiny or PowerBI for front end applications. Experience in spatial data analysis and presentation. An understanding of climate scenarios especially IPCC and NGFS would be considered a plus as would experience with econometric modeling. Ability to interact effectively with a diverse team and provide client focused insights. Exposure to consulting projects would be considered prefential Eligibility Minimum 12 months experience as Senior Specialist (C2) / Lead Specialist (D1) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months Disclaimer Please note that the relocation assistance shall not be provided for the said position Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone Mention your employee id and official email address in the resume What makes you stand out Concepts of climate science including GCMs / RCMs and downscaling approaches. Basic concepts of statistics. Knowledge about current updates in the domain of climate risk analysis and impact of climate change in at least 2-3 sectors. Ability to communicate complex ideas effectively. Learnings from previous work experiences/academic projects. The candidate is expected to have clarity on their current career position and goals for 2-3 years. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Guy Carpenter, a business of Marsh McLennan (NYSEMMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Your journey at Crowe starts here with a meaningful and rewarding career. At Crowe, we prioritize work-life balance and trust you to deliver impactful results. We value diversity and inclusivity, care for your well-being, and support your career growth. With equitable access to opportunities for leadership and development, you can be part of a team that is committed to delivering excellent service through innovation across audit, tax, and consulting groups. Our 80-year history showcases our dedication to investing in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and be a part of shaping the future of our industry. The position of a Solution Implementation Manager at Crowe requires a bachelor's degree in Computer Science, Information Technology, Engineering, Business Administration, or a related field, along with six years of relevant experience. You should have at least three years of experience in a lead position implementing regulatory or compliance applications. This role involves managing the configuration and customization of third-party Compliance and Fraud solutions like Verafin, SAS, Oracle, Actimize, and ensuring ongoing business support. You will develop short-term and long-term plans to meet business needs, document solution implementations, and drive architecture for Compliance and Fraud solutions. Consulting or professional services experience is preferred, as well as prior solution implementation experience and the ability to lead a team of developers in implementing solutions like Verafin, SAS, Oracle, Actimize, or similar ones for the organization. As a Solution Implementation Manager, you will lead and execute implementation projects, collaborating closely with senior stakeholders and clients to deliver value to financial institution clients. You will lead teams of analysts, work independently on engagements, and focus on implementing out-of-the-box/customized solutions in the financial crime domain, requiring a strong understanding of anti-money laundering and the banking industry. Qualifications for this role include being a Certified CAMS or willing to obtain certification, having a minimum of three years of experience with AML platforms like Verafin, SAS, Oracle, Actimize AML, WLF, and Fraud, and familiarity with cloud solutions like AWS and Google Cloud. Additionally, experience with Java, Python, SQL, UNIX, Windows, and data visualization tools is essential, with knowledge of Machine Learning/AI as an advantage. We look for candidates who embody Crowe's values of Care, Trust, Courage, and Stewardship, acting ethically and with integrity at all times. Our comprehensive benefits package reflects our commitment to our employees, and we provide a supportive culture that values diversity and fosters talent growth. You will have the opportunity to work with a Career Coach who will guide you in achieving your career goals and aspirations. Crowe, as a part of Crowe Global, is a leading accounting, consulting, and technology firm with a global presence, offering a platform for talent to thrive and excel. Crowe does not accept unsolicited candidates, referrals, or resumes from staffing agencies or third-party services. Any submissions without a pre-existing agreement will be considered the property of Crowe, free of charge. Join us at Crowe and be a part of a dynamic team where your skills and contributions can make a difference in shaping the future of our industry.,

As a member of the Northern Trust team, you will be responsible for overseeing the development of high-quality risk analytics, regulatory reporting, and system implementation and maintenance. Your role will involve providing innovative solutions to complex issues in risk modeling, capital allocation, and other aspects of risk measurement. You will work with a team to collect operational loss event data and support them on technical matters related to system implementation and maintenance. In this position, you will be required to manage the model development/validation process for risk, ensuring the regular production of analytical work and reports. You will also play a key role in supporting internal capital allocation methodologies to meet both corporate and regulatory requirements. Your expertise in risk management policies and quantitative modeling approaches will be essential in developing, implementing, and administering programs within the Risk Management function. To excel in this role, you should have a college or university degree and relevant work experience, with an advanced degree in mathematics, statistics, or economics preferred. Strong analytical, problem-solving, and communication skills are essential, along with technical knowledge in systems such as R, Python, PowerBI, Latex, and R Shiny. Prior leadership experience in a risk measurement capacity is advantageous, as is a deep understanding of operational risk management and regulatory frameworks like Basel and CCAR. As a valued member of the Northern Trust team, you will have the opportunity to work in a flexible and collaborative environment that encourages career growth and development. Senior leaders are accessible, and the company is committed to assisting the communities it serves. If you are passionate about risk management and seeking a challenging yet rewarding opportunity, we encourage you to apply and explore how your skills and experience can contribute to one of the world's most admired financial institutions. Join us in building a brighter future together.,

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

An R Shiny web developerbuilds interactive data visualization and analysis tools using the R programming language and the Shiny framework.They design, develop, and deploy dashboards and applications that allow users to explore and manipulate data dynamically.This role often involves data manipulation, UI/UX design, and ensuring the application runs efficiently. Here's a more detailed breakdown of an R Shiny web developer's responsibilities: Responsibilities: Building and Maintaining Shiny Applications: Designing, developing, and maintaining interactive dashboards and applications using R and Shiny. Implementing user interfaces (UI) and server-side logic. Ensuring applications are visually appealing and user-friendly. Updating existing applications based on changes in functionality or requirements. Debugging and testing applications to ensure they function correctly. Data Handling and Manipulation: Analyzing datasets, both structured and unstructured, to identify relationships and prepare data for loading into databases. Creating and managing data pipelines and ETL (Extract, Transform, Load) processes. Data Visualization and Reporting: Developing visualizations, reports, and dashboards using R Shiny. Creating data pipelines that integrate various data sources to create comprehensive visualizations. Collaboration and Communication: Working closely with other developers, data scientists, and subject matter experts. Communicating technical information clearly and concisely. Proposing solutions to technical challenges and application improvements. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - R Shiny User Interface - Other User Interfaces - JavaScript Beh - Communication and collaboration UX - UX - Photoshop

We are looking for a skilled R Shiny programmer to create interactive reports that transform clinical trial data into actionable clinical insights. As an R Shiny programmer, your role will involve designing, developing, deploying, and optimizing user-friendly web applications for analyzing and visualizing clinical data. Your responsibilities will include designing, developing, testing, and deploying interactive R Shiny web applications. You will collaborate with data scientists, bioinformatics programmers, analysts, and stakeholders to understand application requirements and translate them into intuitive R Shiny applications. Additionally, you will be responsible for translating complex data analysis and visualization tasks into clear and user-friendly interfaces, writing clean and efficient R code, conducting code reviews, and validating R programming. Moreover, you will integrate R Shiny applications with AWS services like AWS Redshift, implement unit tests to ensure quality and performance, benchmark and optimize application performance, and address any inconsistencies in data, analytical, or reporting problems that may arise. Other duties may be assigned as needed. The ideal candidate should possess a Bachelor's degree in computer science, Data Science, or a related field, along with 3 to 8 years of relevant experience. Proven expertise in building R Shiny applications, strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization, experience in using SQL, and an understanding of user interface (UI) and user experience (UX) principles are essential. Experience with gathering requirements, using RStudio, Version Control software, managing programming code, and working with POSIT Workbench, Connect, and/or Package Manager is preferred. Candidates should have the ability to manage multiple tasks, work independently and in a team environment, effectively communicate technical concepts in written and oral formats, and experience with R markdown, continuous integration/continuous delivery (CI/CD) pipelines, and AWS cloud computing services such as Redshift, EC2, S3, and CloudWatch. The required education for this position is a BE/MTech/MCA degree in a computer-related field. A satisfactory background check is mandatory for this role.,

As a Principal Stats Programmer at Sanofi, you will be responsible for providing high-quality statistical deliverables on projects within various therapeutic areas for safety analytics purposes. Your role will involve working on multiple clinical compounds and offering expertise in safety data integration for data visualization integrated solutions. Within the Safety Center of Excellence, you will play a key role in developing statistical deliverables for safety analytics on clinical projects. You will plan and execute statistical programming deliverables within studies, acting as the Programming Study Lead (SP) with limited direction from the programming project leader. Your responsibilities will include performing programming activities for all statistical deliverables within a study/project, ensuring quality control, reviewing study documents, and providing programming specifications for the Study Data Tabulation Model (SDTM) and Analysis Datasets Model (ADaM) for a study. To excel in this role, you should have experience in programming, preferably in processing clinical trial data in the pharmaceutical industry. You should possess advanced technical skills in statistical programming, with knowledge in R (and SAS) and R Shiny, along with a thorough understanding of relational databases and CDISC data structure requirements. Strong communication, coordination, and problem-solving skills are essential, as well as the ability to work in a team environment and support multiple assignments with challenging timelines. Additionally, you should have a Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or a related field. Fluency in English, both written and verbal, is required for effective communication in a global environment. By joining Sanofi's Safety Center of Excellence as a Principal Statistical Programmer, you will have the opportunity to contribute to global health improvements, drive innovation in safety analytics, and advance your career in a growth-oriented and supportive environment. Embrace the challenge, innovate, and be part of a team that is dedicated to transforming the business and changing millions of lives. Join us at Sanofi and be part of a team that brings the miracles of science to life, offering endless opportunities for career growth and development, a comprehensive rewards package, and a supportive work environment that values your contributions and amplifies your impact. Experience the satisfaction of working in an international biopharma company alongside a diverse team focused on safety analytics, data integration, and data visualization across multiple clinical therapeutic areas.,

Job Posting Title: Principal Developer, Technology and Scientific Computing Job Description: The Principal Developer will work as part of an interdisciplinary team to develop solutions and tools that enable associates working on analyses and reporting activities in clinical trials. They will work across Advance Quantitative Sciences (AQS)to gain an appreciation of the user experience today and work with Product Owners to deliver progress in high impact areas. This role will focus on enabling the use of open-source tools across the spectrum of activities in AQS. Key Responsibilities Design and implement intuitive, user-friendly interfaces for clinical trial stakeholders using modern front-end frameworks Collaborate with statistical engineers to integrate R-based tools into scalable web applications Develop and maintain efficient databases to manage user activity and application artifacts Build and deploy complex analytical web applications with robust client-server state management Implement secure authentication and page routing for enterprise-grade applications Create and maintain automated end-to-end testing within a CI/CD pipeline Engage with end users to gather feedback and translate needs into technical solutions Identify and drive continuous improvement opportunities in product design and development Ensure adherence to best practices in software development, including agile methodologies and code reviews Contribute to solving complex technical challenges with a solution-oriented mindset Essential Requirements Bachelors or Masters degree in computer science, statistics, mathematics, or a related quantitative field Minimum 8+ years of experience developing and deploying impactful software applications Strong proficiency in HTML, JavaScript, CSS, and React for front-end development Skilled in Python for back-end development and RESTful API design using frameworks like Flask or Django Experience with modern testing tools and CI/CD automation (e.g., Cypress, Jest, Mocha) Proficient in database design and management using PostgreSQL or similar systems Familiarity with containerization tools such as Docker and orchestration platforms like Kubernetes Strong communication skills and a collaborative, solution-oriented mindset Desirable Requirements Experience using R and R Shiny for data visualization and analytical applications Understanding of regulatory standards such as GxP and principles of computer system validation Skills Desired Algorithms, Computer Programming, Computer Science, Computer Vision, Data Science, People Management, R&D (Research And Development), Waterfall Model

Job Title: R Shiny Engineer/Data Scientist Required Experience: 3-4 years Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Responsibilities: Team Leadership: Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics and Statistical Modeling: Design, develop, and implement advanced machine learning models and statistical algorithms to extract insights and solve complex business problems. Apply robust statistical process control (SPC), univariate and multivariate analysis, and both parametric and non-parametric statistical techniques. Conduct hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and other statistical methods to ensure data quality and model validity. Work extensively with batch genealogy data and large manufacturing datasets to uncover patterns and optimize operational efficiency. Ensure strong statistical analysis support for both normal and non-normal distributions R Shiny Application Development: Develop and maintain robust, interactive R Shiny applications to support dynamic data exploration and decision-making platforms. Build scalable and user-driven front-end interfaces for real-time statistical analysis and visualization. Collaborate with backend engineers to integrate R Shiny platforms with Redshift and other data sources for seamless analytics delivery. Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) Minimum 1.5+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. Proven experience in developing and deploying R Shiny applications for real-time analytics and statistical platforms. In-depth experience with SPC, hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and batch genealogy analysis. Experience in developing statistical solutions for both normal and non-normal distributions, and applying both univariate and multivariate techniques. Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Statistical Modeling, and Data Visualization. Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. Must have hands-on experience with Deep Learning technologies for computer vision and image processing, as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. Excellent leadership, communication, and interpersonal skills. Experience with big data technologies and cloud platforms is a plus. Industry IT Services and IT Consulting

R-Shiny Development Leader (7 plus years of experience in R/R-Shiny application development and leadership role with experience in TEAL-based Shiny application) We are seeking an experienced R Package Development Leader to join our global team in the pharmaceutical industry. R remains a cornerstone in statistical and analytical methods and innovation, and we require an experienced R development leader who can help us build, maintain, and improve our R packages and applications. We are seeking an individual who is experienced in working on clinical trial datasets and TEAL-based Shiny applications. Required Skill Set - Strong documented experience in R package and R/Shiny apps development in line with industry best practices around documentation, testing, and modularization Strong working experience with Tidyverse packages and Tidy principle Comfort with SQL databases Knowledge of DevOps, CICD, and GitHub Hands-on working experience with TEAL package based Shiny development . Working experience with CDISC (Clinical Data Standards) data or NCA/Certara Phoenix datasets Teal experience should cover general modules as well as Clinical (Dealing with clinical trial data reporting), and Hermes (For analysing MultiAssayExperiment objects). Experience of widget development Good to have experience in developing reports using TEAL reporter Being able to understand solution architecture and role of involved software components to implement R Shiny apps Working knowledge on back-end integration via APIs (REST, JSON over HTTP, etc.) Experience with collaborative API design flows Experience in debugging, testing, and optimizing Shiny applications and then publishing these to the internal company repository Ability to embed automatic testing into the development cycle Experience of using GitHub for version control, branch/merge/PR strategies for R projects Ability to contribute new ideas and approaches to improve our R packages and applications Inclination to stay up to date with the latest R packages and developments within the pharma industry. Experience in building or working on Pharmaverse applications (eg. admiral, logrx, metacore, metatools, etc.)

Work Location: Chennai Please share your updated profile to sugantha.krishnan@acldigital.com Role & responsibilities Responsibilities: - Collecting, cleaning, and preprocessing data from various sources - Developing and applying machine learning algorithms and statistical models to solve business problems - Conducting exploratory data analysis and data visualization - Collaborating with cross-functional teams to identify business opportunities and develop data-driven solutions - Developing and deploying data pipelines and ETL processes - Communicating insights and findings to technical and non-technical stakeholders - Evaluating the effectiveness and accuracy of models and recommending improvements - Keeping up-to-date with the latest trends and technologies in the field of data science Qualifications - Minimum of 3 years' Relevant experience with Bachelors' or Masters' degree in STEM (Science, Technology, Engineering, and Mathematics) - Work experience where data science, data engineering and application development was a major part of your work in automating software deployments and following a continuous delivery and deployment model - Experience with mathematical & statistical modeling, Cloud environment, APIs, Kubernetes - Solid experience in program coding with Python, SQL,or R Programming - Experience in visualization tools like Power BI - Experience in data science, machine learning or artificial intelligence technologies

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.