21 Shiny Jobs

As a Lead Business Analyst specializing in Business Intelligence and R Shiny development, you will play a crucial role in driving the strategic development of the in-house merchandising Shiny dashboard. Your responsibilities will include: - Leading the design, enhancement, and long-term roadmap of the Shiny dashboard to ensure scalability, reliability, and high user adoption. - Collaborating with business leaders, merchants, and sales teams to translate business needs into BI solutions that drive measurable impact. - Building and optimizing SQL data pipelines for reliable reporting and analytics. - Developing new features and automation tools to streamline merchant processes and enhance efficiency. - Serving as a subject-matter expert for BI tools and processes, guiding best practices in analytics, data visualization, and automation. - Mentoring and supporting junior analysts on technical and analytical skills. - Collaborating with IT, data engineering, and other departments to ensure alignment and integration across systems. Qualifications for this role include: - Proficiency in SQL, R, and Shiny, with experience in workflow orchestration (e.g., Apache Airflow) considered a strong plus. - A degree in Information Systems, Data Science, Computer Science, Statistics, Mathematics, or related technical/business field. - 4+ years of experience in BI/analytics, including at least 3 years in R Shiny development. Prior experience leading projects or teams is highly preferred. - Strong analytical, problem-solving, and business analysis skills bridging technical and business perspectives. - Excellent communication skills with a proven track record of presenting to leadership and influencing decisions. - Self-starter with a history of driving initiatives from concept to delivery.,

Senior level associate with 8+ yrs of experience Skills: R and R shiny programming experience is mandatory; SAS experience is optional , Python good to have, experience on at least 1 compete study is great add on. The candidate should be experienced in applying these skills in analysis and reporting of clinical trials and being able to reproduce statistical analysis using R. Data visualization, data wrangling using R will be important skills to have. Knowledge of R packages and their application, Data exploration using R Shiny apps and application of statistical methodology / concepts will be a huge plus. Strong understanding of phases of clinical trials and the drug development process. Knowledge of / experience in late phase /RWE will be a huge help. Strong communication skills with ability to collaborate with different functions such as biostats, MW is must. Understanding of statistics concepts to analyse the data and converting stats need in programming outputs. Candidate with learning capabilities and self-driven. Clinical trial data understanding, experience on TFL generation, CDISC standards understanding is must. Role & responsibilities Preferred candidate profile

Job Description : Req ID 81821|Pune, India,ZF India Pvt. Ltd. Job Description About the team ZF Aftermarket is a EUR 3 billion powerhouse with a combined team of about 8,000 employees. We have a total of 120 locations in 40 countries worldwide - including 90 logistics centers - and more than 650 service partners with a strong presence in both automotive and industrial markets. This makes us the second largest aftermarket organization worldwide. What you can look forward to as Product Data Analyst- Data Engineering: End-to-End Project Ownership : Drive and manage analytics initiatives from concept to deployment, ensuring high-quality, timely deliverables with minimal supervision. Engineering Best Practices : Apply structured software development principles, including version control (e.g., Git), CI/CD, automated testing, and peer code reviews to ensure robust, scalable, and maintainable solutions. Data Architecture & Pipelines : Design, build, and optimize scalable and reliable data models and pipelines in Databricks, Azure Cloud, and other big data environments to support advanced analytics and AI use cases. Data Modeling & Performance Optimization : Develop and maintain high-performance data models tailored for analytical workloads and business intelligence use. Business Partnership : Serve as a key liaison between technical teams and business stakeholders to understand needs, validate outcomes, and ensure solutions are actionable and business-ready. Data Visualization : Create insightful and user-centric dashboards using tools like Power BI, Shiny for Python/R, or similar platforms. Your profile as Product Data Analyst- Data Engineering 8-10 years of experience in Data Engineering/ Advanced analytics roles. Hands-on experience with Databricks, Azure, and familiarity with Big Data platforms (e.g., GCP, Cloudera). Prior experience with Data Bricks, Python, Pysprak, TecDoc or product data in the automotive domain Industry experience in agile development and DevOps Databases (ex. Oracle, AWS S3) Proficiency with data visualization tools such as Power BI, Shiny, or equivalent. Why you should choose ZF in India Innovative Environment : ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. Diverse and Inclusive Culture : ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. Career Development : ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement. Global Presence : As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. Sustainability Focus : ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint. Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. Be part of our ZF team as Product Data Analyst- Data Engineering and apply now! Contact Veerabrahmam Darukumalli

Purpose: The Clinical Data Analytics Associate is responsible for programming and testing clinical trial data reports, dashboards and analytics. This requires an in depth understanding of data programming, testing, data technology, data flow, and data standards. The Clinical Data Analytics Associate collaborates with the Clinical Data Management Associate, Clinical Data Associate and other key stakeholders to deliver standardized reports, dashboards and innovative analytics for use in global clinical trials. Primary Responsibilities: This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position. Portfolio Delivery Program and test data reporting, dashboarding and analytics for a trial or set of trials within a program using data standards library. Ensure data reporting and analytics are delivered accurately, efficiently and in alignment with study objectives Provide insights into study level deliverables (i.e. Data Management Plan, Project Plan, database, and observed datasets) Support submission, inspection, and regulatory response activities Project Management Increase speed, accuracy, and consistency in the development of reporting and analytic capabilities and deliverables Partner with Clinical Data Management Associate to deliver data reporting and analytics per business need Comply with data standard decisions and strategies for a study and/or program Utilize therapeutic knowledge and possess a deep understanding of the technology to develop data reports and analytics Effectively apply knowledge of applicable internal, external, and regulatory requirements/expectations (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy knowledge, etc.) to all deliverables Enterprise Leadership Continually seek and implement means of improving processes to reduce data reporting/analytics and decrease work effort Represent Data and Analytics processes in cross-functional initiatives Actively participate in shared learning across Data and Analytics organization Work to Increase re-usability of reports and analytics Work to enable automation and seamless data delivery with real time data validation Minimum Qualification Requirements: Minimum Bacheloru2019s degree in Computer Science, Engineering, Statistics, Technical Science, or related field with 3-5 years of clinical experience in a pharmaceutical, biotech, CRO, or Regulatory agency. Technical knowledge to develop requirements and/or study project deliverables Knowledge and experience with statistical techniques Programming languages - Industry tools and languages like Tableau, PowerBI, Python, SAS, u2018Ru2019 and Shiny for reporting, metrics, and visualizations along with P-SQL, T-SQL for DBMS. Proven ability to work creatively and analytically in a problem-solving environment. Quick learner to new trends in technology. Excellent leadership, communication (written and oral) and interpersonal skills. Demonstrated leadership in professional setting. Demonstrated teamwork and collaboration in a professional setting. Job located in Bangalore, India Preferred skills: Clinical background with solid experience inu00A0 data reporting and visualization u00A0usingu00A0 SAS u00A0andu00A0 R . Proficient inu00A0 Power BI , with strong skills inu00A0 DAX coding u00A0and the ability to debugu00A0 M code u00A0(preferred). Foundational understanding ofu00A0 statistical concepts . Basic exposure to theu00A0 Python & Django framework . Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form () for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lillyu00A0does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

We are seeking an experienced Shiny Application Developer who can translate design concepts into interactive, production-ready Shiny applications. The ideal candidate combines strong R programming skills with experience in UI customization and advanced Shiny patterns, including state management, modular design, and extending Shiny with JavaScript when necessary. Responsibilities Build high-quality Shiny applications directly from Figma wireframes and design specifications. Implement custom UI components within Shiny using CSS and light JavaScript for R (e.g., custom input/output bindings, small DOM manipulations, htmlwidgets). Create or extend htmlwidgets to support bespoke visualizations and interactivity. Design and manage application state using R6 classes and modular Shiny architecture. Develop applications with complex interactive behaviors, such as: Cross-component reactivity and communication Persistent state management Dynamic filtering, drill-downs, and user-driven exploration Ensure application performance, testing, and reliability in production environments. Collaborate closely with designers, analysts, and product stakeholders to deliver polished applications. Qualifications Proven experience developing advanced Shiny applications from wireframes or design specs. Strong knowledge of R, Shiny, and reactive programming. Proficiency with custom HTML and CSS styling in Shiny to deliver applications that match Figma/UX specifications. Familiarity with bslib and Bootstrap 5, including creating custom modals, waiters, and tooltips. Practical experience with JavaScript in the Shiny context: Writing or modifying custom input/output bindings Enhancing reactivity via shinyjs or htmlwidgets Extending Shiny with lightweight JS code where necessary Experience using R6 classes for state management and encapsulating business logic. Familiarity with advanced Shiny practices, including modular design, async operations, and bookmarking/session state. Knowledge of testing frameworks (e.g., shinytest2, testthat) Git for version control Bonus: Experience with performance tuning (caching, async), deployment (Shiny Server / Posit Connect / Docker), or integration with APIs and databases.

-Maintain & update our in-house automated data pipelines -Leverage Apache Airflow to orchestrate & monitor pipeline workflows -Troubleshoot & resolve data issues in collaboration with business analytics team

The Senior Associate Portfolio Analytics role at Morgan Stanley Fund Services in Mumbai offers an exciting opportunity to be part of a dedicated team that provides fund administration services to the world's leading hedge funds. With over $600+ billion in Assets under Administration, Morgan Stanley Fund Services employs over 1,400 professionals across various global locations. As a member of the Portfolio Analytics group, you will play a crucial role in analyzing, understanding, and reporting on investment risk and performance for clients" portfolios. This involves providing portfolio transparency reporting, OTC derivatives valuation, and addressing other portfolio analytics needs for Morgan Stanley's global hedge fund clientele. Leveraging the group's proprietary web-based applications, you will collaborate closely with hedge fund clients and other internal teams within the division. You will be responsible for delivering periodic and customized quantitative analyses related to portfolio exposure, risk, and performance. Working alongside the global client coverage team, you will assist in addressing client queries regarding factor analysis of their portfolios. Additionally, you will prepare custom client reports involving risk and performance calculation, contribute to building automation solutions using tools like R/VBA or IT solutions, and participate in developing new products critical to the success of pre-trade quant offerings. To excel in this role, you should possess a master's degree in a quantitative discipline such as Financial Engineering, Mathematics, Statistics, or Computing with 2-4 years of relevant experience. While certifications like CFA, CQF, or FRM are advantageous, they are not mandatory. Proficiency in Equities and Equity derivatives products, familiarity with multi-factor risk models, hands-on experience with R or Python programming, and knowledge of LaTeX, Markdown, and Shiny are essential. An analytical mindset, problem-solving ability, quantitative aptitude, and strong communication skills are key attributes for success in this position. The role involves working in shifts from 1 pm - 10 pm or 12 pm - 9 pm based on the US holiday calendar. Morgan Stanley is committed to fostering a supportive and inclusive work environment that enables individuals to reach their full potential. The organization values diversity and inclusion, and its workforce reflects a wide range of backgrounds, talents, perspectives, and experiences. Employees are encouraged to grow and advance based on their skills and talents, creating a culture of inclusion and opportunity for all. At Morgan Stanley, you can expect to work in a dynamic environment alongside top talent, where collaboration and creativity are highly valued. The organization's values of prioritizing clients, integrity, innovation, diversity, and giving back guide daily decision-making to benefit clients, communities, and employees worldwide. With a global presence across 42 countries and a commitment to employee well-being, Morgan Stanley offers attractive benefits and opportunities for career growth and development. For more information about Morgan Stanley's global offices, please visit https://www.morganstanley.com/about-us/global-offices. Join Morgan Stanley to be part of a team that thrives on collaboration, innovation, and continuous learning.,

As the world's largest producer of medicine and vaccinations for pets and livestock, Zoetis, Inc. invites you to join the Zoetis India Capability Center (ZICC) in Hyderabad, where innovation and excellence converge. At ZICC, a pivotal player in the animal healthcare industry, we are committed to driving transformative advancements and leveraging technology to tackle complex challenges. Our mission is to secure sustainable growth and uphold Zoetis" global competitiveness by harnessing the exceptional talent pool in India. Join a dynamic team at ZICC that collaborates with colleagues globally, embodying the ethos of One Zoetis. Together, we foster seamless integration and collaboration, providing an environment where your contributions can truly make a difference. Embark on our journey to lead innovation and shape the future of animal healthcare. Zoetis is currently seeking a talented Data Visualization Engineer to join our pharmaceutical R&D team. The ideal candidate will possess a solid background in data science, advanced visualization techniques, and proficiency in tools for creating impactful and interactive visualizations across diverse data sets. This role necessitates close collaboration with scientists, analysts, and stakeholders to transform intricate datasets into compelling visual narratives that steer decision-making in drug discovery, development, and clinical research. **Position Responsibilities** **Design and Develop Visualizations:** - Craft interactive and static visualizations for exploratory, descriptive, comparative, and predictive analyses. - Develop dashboards and reports summarizing key insights from high-throughput screening, clinical trial data, and other R&D datasets. - Implement visual representations for pathway analysis, pharmacokinetics, omics data, and time-series trends. *(40%)* **Collaborate with Cross-Functional Teams:** - Work closely with data scientists, bioinformaticians, pharmacologists, and clinical researchers to identify visualization needs. - Translate complex scientific data into clear, actionable visual insights tailored to both technical and non-technical audiences. *(20%)* **Maintain and Optimize Visualization Tools:** - Create reusable visualization components and frameworks to support large-scale data analysis. - Evaluate and recommend tools and platforms for effective data visualization, including emerging technologies. *(20%)* **Data Processing and Integration:** - Collaborate with data engineers to integrate, clean, and structure datasets for visualization purposes. - Ensure alignment of visualization solutions with pharmaceutical R&D standards, compliance, and security requirements. *(10%)* **Innovation and Expertise Development:** - Stay abreast of the latest visualization technology trends relevant to pharmaceutical research. - Apply advanced techniques such as 3D molecular visualization, network graphs, and predictive modeling visuals. *(10%)* **Organizational Relationships** **Animal Health Research & Development:** - Engage across the spectrum of R&D functions, including pharmaceutical, biopharmaceutical, vaccine, device, and genetics R&D groups, to align technology solutions with diverse scientific needs and development pipelines. **Zoetis Tech & Digital (ZTD):** - Partner closely with ZTD teams, particularly the VMRD-ZTD Engineering group, documentation specialists, and portfolio management groups, to ensure seamless integration of IT solutions and alignment with organizational objectives. **Resources Managed** *Supervision:* - No direct reports, but matrix leadership responsibilities within each project team. Managerial responsibilities for any project resources onboarded externally. **Education and Experience** *Education:* - Bachelors or Masters degree in Computer Science, Data Science, Bioinformatics, or related field. - Experience in the pharmaceutical or biotech sectors is advantageous. **Technical Skills Requirements** - **Visualization Tools:** Expertise in Tableau, Power BI, Plotly, ggplot2, Matplotlib, Seaborn, D3.js, or equivalent. - **Programming:** Proficiency in Python, R, or JavaScript (e.g., for D3.js). - **Data Handling:** Experience with SQL, Pandas, NumPy, and ETL processes. - **Omics and Network Tools:** Familiarity with Cytoscape, BioRender, or molecular visualization platforms (e.g., PyMOL, Chimera). - **Dashboarding:** Building interactive dashboards with Dash, Shiny, or Streamlit. - **3D Visualization:** Experience with tools for structural and spatial visualization (e.g., PyMOL, PyVista). **Soft Skills:** - Strong storytelling ability to convey scientific insights visually. - Effective communication and collaboration with interdisciplinary teams. - Analytical thinking to align visualizations with research goals. **Physical Position Requirements** - Minimal travel requirements, ranging from 0-10%. - Full-time position.,

As a Data Visualization Engineer at Zoetis, Inc., you will be an integral part of the pharmaceutical R&D team, contributing to the development and implementation of cutting-edge visualizations that drive decision-making in drug discovery, development, and clinical research. You will collaborate closely with scientists, analysts, and other stakeholders to transform complex datasets into impactful visual narratives that provide key insights and support strategic initiatives. Your responsibilities will include designing and developing a variety of visualizations, ranging from interactive dashboards to static reports, to summarize key insights from high-throughput screening, clinical trial data, and other R&D datasets. You will work on implementing visual representations for pathway analysis, pharmacokinetics, omics data, and time-series trends, utilizing advanced visualization techniques and tools to create compelling visuals tailored to technical and non-technical audiences. Collaboration with cross-functional teams will be a key aspect of your role, as you partner with data scientists, bioinformaticians, pharmacologists, and clinical researchers to identify visualization needs and translate scientific data into actionable insights. Additionally, you will be responsible for maintaining and optimizing visualization tools, building reusable components, and evaluating emerging technologies to support large-scale data analysis. Staying updated on the latest trends in visualization technology and methods relevant to pharmaceutical research will be essential, as you apply advanced techniques such as 3D molecular visualization, network graphs, and predictive modeling visuals. You will also collaborate across the full spectrum of R&D functions, aligning technology solutions with the diverse needs of scientific disciplines and development pipelines. In terms of qualifications, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors is considered a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is required. Familiarity with data handling tools, omics and network tools, as well as dashboarding and 3D visualization tools, will also be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this position are minimal, ranging from 0-10%. Join us at Zoetis India Capability Center (ZICC) in Hyderabad, and be part of our journey to pioneer innovation and drive the future of animal healthcare.,

We are looking for a highly skilled and experienced Senior Python & ML Engineer with expertise in PySpark, machine learning, and large language models (LLMs). You will play a key role in designing, developing, and implementing scalable data pipelines, machine learning models, and LLM-powered applications. In this role, you will need to have a solid understanding of Python's ecosystem, distributed computing using PySpark, and practical experience in AI optimization. Your responsibilities will include designing and maintaining robust data pipelines with PySpark, optimizing PySpark jobs for efficiency on large datasets, and ensuring data integrity throughout the pipeline. You will also be involved in developing, training, and deploying machine learning models using key ML libraries such as scikit-learn, TensorFlow, and PyTorch. Tasks will include feature engineering, model selection, hyperparameter tuning, and integrating ML models into production systems for scalability and reliability. Additionally, you will research, experiment with, and integrate state-of-the-art Large Language Models (LLMs) into applications. This will involve developing solutions that leverage LLMs for tasks like natural language understanding, text generation, summarization, and question answering. You will also fine-tune pre-trained LLMs for specific business needs and datasets, and explore techniques for prompt engineering, RAG (Retrieval Augmented Generation), and LLM evaluation. Collaboration is key in this role, as you will work closely with data scientists, engineers, and product managers to understand requirements and translate them into technical solutions. You will mentor junior team members, contribute to best practices for code quality, testing, and deployment, and stay updated on the latest advancements in Python, PySpark, ML, and LLMs. Furthermore, you will be responsible for deploying, monitoring, and maintaining models and applications in production environments using MLOps principles. Troubleshooting and resolving issues related to data pipelines, ML models, and LLM applications will also be part of your responsibilities. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong proficiency in Python programming, PySpark, machine learning, and LLMs is essential. Experience with cloud platforms like AWS, Azure, or GCP is preferred, along with strong problem-solving, analytical, communication, and teamwork skills. Nice-to-have skills include familiarity with R and Shiny, streaming data technologies, containerization technologies, MLOps tools, graph databases, and contributions to open-source projects.,

The Data Visualization Engineer position at Zoetis India Capability Center (ZICC) in Hyderabad offers a unique opportunity to be part of a team that drives transformative advancements in animal healthcare. As a key member of the pharmaceutical R&D team, you will play a crucial role in creating insightful and interactive visualizations to support decision-making in drug discovery, development, and clinical research. Your responsibilities will include designing and developing a variety of visualizations, from interactive dashboards to static visual representations, to summarize key insights from high-throughput screening and clinical trial data. Collaborating closely with cross-functional teams, you will translate complex scientific data into clear visual narratives tailored to technical and non-technical audiences. In this role, you will also be responsible for maintaining and optimizing visualization tools, ensuring alignment with pharmaceutical R&D standards and compliance requirements. Staying updated on the latest trends in visualization technology, you will apply advanced techniques like 3D molecular visualization and predictive modeling visuals to enhance data representation. Working with various stakeholders such as data scientists, bioinformaticians, and clinical researchers, you will integrate, clean, and structure datasets for visualization purposes. Your role will also involve collaborating with Zoetis Tech & Digital teams to ensure seamless integration of IT solutions and alignment with organizational objectives. To excel in this position, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors will be a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is essential. Additionally, familiarity with data handling tools, omics and network visualization platforms, and dashboarding tools will be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this full-time position are minimal, ranging from 0-10%. Join us at Zoetis and be part of our journey to pioneer innovation and drive the future of animal healthcare through impactful data visualization.,

You will be an Applied Economist - Full-Stack Data Science (R + Shiny) Intern at a fast-growing health-tech & wellness startup located in Noida. As part of the role, you will manage the complete data cycle, including extraction, cleaning, analysis, and visualization, to transform complex financial data into actionable insights. Your primary responsibilities will involve working with raw financial and operational data to extract, clean, analyze, and visualize information. You will be expected to create and maintain interactive dashboards using tools like Shiny, automate financial reporting, develop forecasting models, and collaborate with various teams to deliver data-driven insights. To excel in this role, you must have proficiency in R (preferred) or Python for handling real-world data, building Shiny dashboards for real-time insights, and possess strong analytical and problem-solving skills. A good understanding of financial metrics, forecasting, and the ability to communicate insights clearly are essential for success. The ideal candidate will have a background in Economics, Applied Statistics, or Data Science, with fluency in R, especially for dashboarding using Shiny. Additionally, you should have a strong grasp of causal inference, forecasting, and behavioral trends, along with experience in backend deployment for server-side operations. If you are looking for an opportunity to own and lead data-driven projects in a collaborative and learning-focused environment, where your work directly impacts company decisions, then this internship could be the perfect fit for you. Upon demonstrating exceptional performance during the 23-month internship, there is a high likelihood of a full-time job offer.,

-Maintain & update our in-house automated data pipelines -Leverage Apache Airflow to orchestrate & monitor pipeline workflows -Troubleshoot & resolve data issues in collaboration with business analytics team

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 Description Responsibilities: Deliver complex analytics projects, providing data-driven insights to address critical business challenges by analyzing disaggregated data utilizing modeling, statistics, and machine learning. Work with diverse data sets to clean, manipulate, and analyze data using tools such as R, Python, and SQL Apply a range of statistical techniques and modeling processes to transactional and attitudinal data to help answer our clients business questions Develop expertise in all our analytical solutions, understanding their technical intricacies and their value to clients Share analytical best practices and insights across teams to foster alignment and continuous improvement and development of advanced analytical techniques Simplify and explain complex analytical concepts in a clear and concise manner, tailoring explanations to different audiences Support the continuous improvement and development of our advanced analytical techniques and how we run them Act as an analytical expert on projects, providing advice internally to ensure that our approaches and outputs remain best-in-class Requirements: Education: A university degree in a mathematical, scientific, or related discipline with a strong statistical component. A higher degree in a relevant field is preferred but not required Technical Skills: Proficiency in R and Git is essential. Knowledge of SAS, SQL, Python and Shiny are desirable. Analytical Mindset: Strong interest in understanding consumer behaviour and how brands can grow through data-driven insights. Strong analytical thinking ability Data Handling: Hands-on experience in working with large datasets, performing statistical analyses, running machine learning models, and visualizing results using the R ecosystem Industry Knowledge: Experience working with panel or survey data is an advantage but not mandatory Experience working with relevant modeling techniques clustering techniques, regression, probability modeling, and others Highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments Enjoys actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions Critical thinking and genuine passion for consumer behaviour. Possesses outstanding communication and interpersonal skills to comfortably connect with partners at all levels across the organization and facilitates discussions in a constructive manner Fluency in spoken and written English is mandatory

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.)

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 6-10 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.

Advance R programming skills (relevant experience over last 12-24 months) especially with packages like tidyverse, dplyr, data.table, dtplyr, Rcpp and shiny.

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

About the Role: We are seeking a skilled and versatile Data Scientist/Software Developer with a strong background in R programming and Shiny app development. This role will involve working on a variety of projects, each with defined objectives and timelines. Successful candidates will be comfortable in a dynamic environment, adapting to different datasets, analytical requirements, and business needs. You will be a key contributor to translating data into actionable insights through the development of robust and user-friendly Shiny applications. Responsibilities: Develop Interactive Shiny Applications: Design, develop, test, and deploy interactive web applications using the R Shiny framework. Focus on creating user-friendly interfaces that effectively present data analysis and insights. R Programming: Utilize strong R programming skills to perform data cleaning, manipulation, analysis, and visualization. This includes implementing statistical models, data mining techniques, and machine learning algorithms as needed. SQL Database Interaction: Write efficient SQL queries to extract, transform, and load data from relational databases. Ensure data integrity and optimal performance for application use. Data Understanding and Interpretation: Work closely with stakeholders to understand their requirements and translate them into robust analytical solutions. Interpret data insights and communicate findings effectively. Code Documentation and Best Practices: Write clean, well-documented, and maintainable code. Adhere to software development best practices, including version control and testing methodologies. Project Management: Manage your time effectively across multiple shorter-term projects. Work independently while keeping stakeholders updated on progress and issues. Problem Solving: Ability to understand business problems and develop data-driven solutions and develop novel approaches, if needed. Collaboration: Work collaboratively with other data scientists, analysts, and business teams as needed. Required Skills & Qualifications: Expertise in R Programming: Proven experience in using R for data manipulation, statistical analysis, and visualization. Minimum of 3-5 years of experience in a relevant technical role. Shiny App Development: Strong understanding and practical experience in developing interactive dashboards and applications using R Shiny. Minimum of 3-5 years of experience in a relevant technical role. SQL Proficiency: Ability to write and optimize SQL queries to interact with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Data Analysis Skills: Ability to perform exploratory data analysis, apply statistical methods, and interpret results. Problem-Solving Aptitude: Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences. Experience with Version Control: Familiarity with Git and GitHub or similar version control systems. Adaptability: Ability to manage multiple projects concurrently and adapt to changing priorities. Remote work: Comfortable working remotely and communicating regularly. Preferred Skills: Experience with other R packages relevant to data analysis and visualization (e.g., dplyr, ggplot2, tidyr). Knowledge of basic statistical modeling and machine learning techniques Experience with cloud-based data environments (e.g., AWS, Google Cloud, Azure). Familiarity with deployment of shiny apps. Understanding of data security practices. Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad.

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.