30 R Programming Jobs

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

Key Responsibilities: Applies engineering and/or scientific skills to technical processes with support from experienced team members. Participates as a team member, helps define/refine methods, and actively contributes towards team goals. Carries out engineering responsibilities using accepted methods and practical experience. Demonstrates good understanding and applies knowledge of an engineering discipline. Continues to develop capability to create engineering solutions through training and experience. Skills and Knowledge: Knowledge of engine and Genset components, functions, and failure modes. Experience with MS Office tools (Word, PowerPoint, Excel) is preferred. Proficiency in Excel programming (VBA) and Power Pivot is desirable. Familiarity with statistical software packages (e.g., Minitab, Weibull++, Winsmith, JMP, R-Programming) is preferred. Knowledge of engine performance measurement is advantageous. Awareness of warranty data analysis and life data analysis is preferable. Experience in service and quality functions is desirable. Strong analytical skills for handling large datasets and deriving meaningful conclusions. Six Sigma Yellow Belt certification required; Green Belt certification preferred. Experience: Basic relevant work experience desired, such as internship, co-op, or other pertinent work experience. This is a Hybrid role. Qualifications: Master of Science, Bachelor of Science, or equivalent technical degree required. This position may require licensing for compliance with export controls or sanctions regulations. Competencies: Applies Principles of Statistical Methods: Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference; models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions. Product Failure Mode Avoidance: Mitigates potential product failure modes by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins products. Product Failure Reporting and Corrective/Preventive Action Systems: Defines and leads a process to record, prioritize, and resolve product failures using cross-functional reviews, rigorous problem-solving methods, failed parts transfer processes, data management tools, and project management practices to effectively and efficiently improve the reliability of the product. Product Problem Solving: Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. Product Reliability and Reliability Risk Management: Plans and manages critical reliability activities during new product development by preventing failures before hardware, detecting failures before the customer does, and improving products before production in order to release a reliable and durable product; evaluates key technical and program measures to assess the launch readiness of a new product using prescribed indicators, measures, risk scales, and methods of tracking to focus attention on metrics to reduce risk and improve reliability. Quantitative Reliability Analysis: Analyzes failure data from existing and/or new products by establishing failure rate models for use in assessing the feasibility of meeting reliability targets, comparing the reliability of product alternatives, estimating reliability and product coverage costs, identifying emerging issues, or verifying that improvements implemented have had the desired reliability improvement. Reliability Test Planning: Develops and analyzes a test plan acknowledging the relationship among reliability, sample size, distribution parameters, and confidence; develops system-level reliability test plan by considering schedule, number of units, applications, noises, and locations to find unknown failure modes to improve reliability; creates an accelerated test plan by increased use, overstress testing, or combining multiple stresses to build and extrapolate a model to estimate reliability under normal use conditions. Customer Focus: Building strong customer relationships and delivering customer-centric solutions. Global Perspective: Taking a broad view when approaching issues, using a global lens. Values Differences: Recognizing the value that different perspectives and cultures bring to an organization.

The role is based in Pune, India. Compensation to be paid in INR. Defining and developing data sets, models and cubes Build simple to complex pipelines data flows in ADF which includes extracting data from the source system into the data warehouse staging area, ensuring data validation, data accuracy, data type conversion, and business rule application. Strong Visualization skills in PBI , expert knowledge in writing advanced DAX in Power BI, Power Queries , Power Automate , M Language , R Programming. Advance knowledge of Azure SQL DB Synapse Analytics , Azure Data Bricks, Power BI Should be able to analyse and understand complex data. Knowledge of Azure data lake storage is required and Services like Azure Analysis Service SQL Databases.

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,New Delhi,Mumbai,Bengaluru

Hi We are looking to hire for SAS+R Programming . Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

Bachelor's Degree or equivalent in statistics, computer science, information technology, business analytics, or other related majors Minimum of 3+ years of experience preferred Proficiency in Excel Proficiency in either Python or R Proficiency in SQL and database management Experience performing data preprocessing and cleaning Dashboarding experience would be a plus Proficient in working with JSON data formats Demonstrated ability to write clean, maintainable, and well-documented code Insurance experience would be a plus Ability to work independently and as part of a team Strong interpersonal, oral, and written communication skills, including presentation skills

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

About the Role: Our team forms part of L&H Portfolio Steering & Monitoring (PSM) within the Chief Underwriting Office (CUO). The PSM purpose is to generate insights and connect our business to proactively steer L&H in delivering sustainable profit. We therefore closely collaborate with the market units as well as other functions across the L&H community to maximize value and manage risk within our portfolio. L&H Experience Studies Centre within PSM aims to implement a standardised and state-of-the-art Experience Studies solutions that enables effective generation of insights of the L&H business to proactively steer L&H Re in delivering sustainable profits. In this role, you will be at the forefront of delivering advanced analytical capabilities for Experience Studies, leveraging the R programming language and other cutting-edge technologies. Your responsibilities will include: Collaboration and Development: Work closely with IT and external partners/providers to develop and implement innovative analytical solutions. You will interpret and translate business requirements into technical specifications or example implementations that IT developers can easily understand. Technical Expertise: Provide expert advice and technical guidance to the IT development team. Collaborate with them to build a new global experience study platform, which includes the analytics engine, results database, results reporting, and tracking of Experience Studies. Project Management: Plan and oversee the work of the development team, ensuring that their output is accurate and aligns with the project requirements. Review their work to guarantee the correct implementation of solutions. Testing and Feedback: Conduct functional testing of implemented solutions and provide constructive feedback to IT developers to refine and enhance the final product. Global Collaboration: Foster strong collaboration and involvement across regional and central teams to ensure a unified approach to global experience studies. Engage and coordinate with regional teams on best practices and overall end-to-end experience studies topics. Governance and Best Practices: Contribute ideas to a robust governance framework for tools and methodologies used in experience studies. Follow the established guidelines to ensure operational excellence by balancing regional and global requirements. Support and Recommendations: Assist the ESTP team in developing recommendations for best practices in experience studies. Take an active role in the L&H Experience Studies Expert Group, contributing to the future direction of Experience Studies. Training and Development: Provide training on Experience Studies and the use of the Experience Studies tool in R to actuaries worldwide. Develop and maintain comprehensive training materials to support this effort. About you: Experience : You should have over 5 years of experience in the Life & Health (L&H) actuarial domain. Actuarial Qualification : You are either already qualified or actively working towards obtaining an actuarial qualification. Technical Expertise : Prior experience in experience studies and a strong knowledge of the R programming language are essential. IT Proficiency : You should be technically minded and comfortable working on IT-related topics. Product Knowledge : Expertise in a variety of L&H products, ideally across multiple global markets and regions, is required. Collaboration Skill s: You must have the ability to interact with colleagues at all levels of the organization and work towards common solutions. Teamwork and Independence : You should be capable of working both independently and as part of a team, including cross-functional teams, to ensure successful delivery. Communication Skills : Excellent communication, interpersonal, project planning, and influential skills are essential. Analytical Skills : Strong analytical skills are necessary, along with the ability and courage to constructively challenge decisions based on emerging information. You should also have a business mindset to be solutions-oriented. Consultant Mindset : You should have a consultant mindset, with the ability to listen to users and help solve their problems effectively.

Professional with 8 to 12 years of experience in biostatistics & R Programming would be preferred

Hi We are looking to hire for SAS+R Programming. Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Job Code # 375 b) For Position in Hyderabad Search : Job Code # 376

Hi We are looking to hire for SAS+R Programming . Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

Develop and maintain scalable data pipelines. Collaborate with data scientists and analysts to support business needs. Work with cloud platforms like AWS, Azure, or Google Cloud. Effectively working with cross-functional teams. Data Modelling.

Hi We are looking to hire for SAS+R Programming. Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Job Code # 375 b) For Position in Hyderabad Search : Job Code # 376

Principal CMC Statistician What you will do Lets do this. Lets change the world. In this vital role you will contribute to Amgens pipeline of new molecules and commercial products, that are treating serious illnesses and transforming lives. The Principal CMC Statistician will use their expertise to implement statistical tools and techniques with science-based practices used throughout the product life cycle. The statistician will provide multi-functional support to clinical and commercial manufacturing sites in the network including statistical support for activities such as process characterization and monitoring programs, analytical methods, specifications, and investigations. The statistician may also support the development of delivery devices, where they will provide statistical analysis, study designs, acceptance sampling plans and acceptance criteria for the development, qualification and transfer of physical test methods. They will also establish appropriate study designs and carry out evaluation of acceptance criteria for Design Verification testing ensuring that the overall program is aligned with Amgen and Regulatory/ISO requirements. Finally, the candidate will support to continuous improvement efforts across Amgens networks, leading to harmonization, efficiency gains and scientific innovation and, administration of statistical training for Amgens engineers and scientists. Acts as a technical lead in the development, implementation and maintenance of statistical tools used to support product life cycle activities. This may include, drafting/updating white papers, writing standardized SAS and/or R code, outlining report templates, and aligning relevant SOPs. Provides continuous statistical support to a site or functional group by collaborating with technical associates to develop an experimental study, perform statistical analysis, and document results in a technical report that aligns with Amgens document control system and has statistical integrity. Supports regulatory audits by interacting with technical staff to answer questions during on- site inspections; and provides written responses to clarify a statistical approach or perform additional analysis to support a Request for Information, as required. Participates in improvement efforts to promote statistical techniques used in biologics and monoclonal antibodies processes; and mentors and guides statistical techniques and software tools to technical associates. Stays up to date on biotechnology industry trends, standard processes, guidance documents and participates in external conferences, as appropriate. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The highly motivated professional we seek is a passionate individual with these qualifications. Basic Qualifications: Doctorate Degree in Applied Statistics, Industrial Statistics or Non-clinical Biostatistics and 2 years of applied statistics experience OR , Masters Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 8 to 10 years of applied statistics experience OR , Bachelors Degree in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 10 to 14 years of applied statistics experience OR , Diploma in Applied Statistics, Industrial Statistics or Non-Clinical Biostatistics and 14 to 18 years of applied statistics experience Preferred Qualifications: Post-graduate degree with 6+ years experience in Biopharma manufacturing and control Proficient in statistical tools and techniques commonly used in biopharma manufacturing operations, such as, Design of Experiments, Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Acceptance Sampling Plans, Non-linear and Linear Regression, Significance Tests, and Simulation. Proficient in SAS and/or R programming (data manipulation techniques, macro, statistical and graphical PROCs, and ODS) and JMP statistical software

Role & responsibilities We are seeking a highly skilled and motivated AI/ML Engineer to design, develop, and deploy state-of-the-art machine learning models and AI-driven systems. The ideal candidate will have a strong background in machine learning frameworks, programming, and data analysis, coupled with the ability to work in a collaborative, fast-paced environment. Model Development: Design, implement, and optimize machine learning models for various applications, including prediction, classification, clustering, and recommendation systems. Data Pipeline Management: Develop and maintain data pipelines, ensuring data is clean, reliable, and suitable for training and testing machine learning models. Research and Innovation: Stay updated on the latest AI/ML trends, techniques, and tools to drive innovation within the team. Prototype and test new algorithms and methods to solve complex problems. System Integration: Collaborate with software engineers to integrate AI/ML solutions into existing platforms and applications. Performance Monitoring: Monitor and analyze the performance of deployed models, implementing improvements as needed to maintain high accuracy and efficiency. Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and business analysts, to align AI/ML solutions with business objectives. Preferred candidate profile Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Strong programming skills in Python, R, or similar languages. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proficiency in working with large datasets and databases (SQL, NoSQL, etc.). Solid understanding of algorithms, data structures, and mathematical concepts (linear algebra, probability, statistics). Experience with cloud platforms like AWS, Azure, or Google Cloud for AI/ML deployment. Strong problem-solving skills and attention to detail. Experience with natural language processing (NLP) or computer vision (CV) techniques. Familiarity with MLOps practices and tools. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Published research or contributions to open-source AI/ML projects.

Clinical R Programmer - Experienced Professional (5+ Years Experience) Overview: We are looking for an experienced Clinical R Programmer in combination with SAS with 5+ years of combined experience in R & SAS within the clinical research or pharmaceutical industry . The ideal candidate should have expertise in developing and validating ADaM datasets, tables, listings, and figures (TLFs) using R , along with a strong understanding of CDISC standards, clinical trial data processing, and regulatory compliance . Key Responsibilities: R Programming Tasks: Develop and validate ADaM datasets, tables, and listings using R . Work with R data structures (matrices, vectors, lists, data frames) for dataset creation and manipulation. Implement date formatting, character functions, and missing value handling in R. Utilize industry-standard R packages : DPLYR, TIDYVERSE, HAVEN, ADMIRAL, LUBRIDATE, STRINGR - Data manipulation and analysis. GGPLOT2 - Advanced data visualization. Perform dataset validation and comparisons (equivalent to PROC COMPARE in SAS). Debug and optimize R programs for performance and accuracy. Familiarity with R Markdown and R-Shiny for reporting (optional but preferred). Required Skills & Experience: 5+ years of combined experience in SAS and R programming in the clinical research or pharmaceutical domain . Proficiency in R programming for clinical data processing and visualization. Strong understanding of R packages (DPLYR, TIDYVERSE, HAVEN, etc.). Knowledge of CDISC standards (SDTM, ADaM) and regulatory submission requirements. Experience in debugging, dataset comparisons, and handling missing values in both R and SAS. This role is perfect for professionals looking to leverage both SAS and R programming skills in clinical research, ensuring compliance with industry standards and regulatory requirements . Send your Resume on [email protected] Job Category: Client Based - Sourcing Job Type: Full Time Job Location: Bangalore Chennai Remote

Hi We are looking to hire for SAS+R Programming. Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

To be successful in this position, a candidates specific skills include, but are not limited to: Embed the data governance framework to drive data management consistency. Identify data quality issues, collaborate cross functionally, and support remediation efforts. Prepare materials for regular data governance forums, monitoring and reporting on key data quality and compliance metrics. Perform data lineage mapping for various business outcomes. Collaborate with cross functional teams to gather, validate, and maintain metadata for various types of content. Actively take part in project delivery cycles and ensure all aspects of Data Governance like data classification, data quality, lineage, data dictionary and alike are set up to high standards. Leverage Microsoft Purview tool to run data governance activities. Strong Technical/Programming Skills: Orientation to & ability to code in languages such as SQL, Python, integrate structured & unstructured internal & external data sources to create user interfaces, adept at building visualizations using UI tools. Partnership: Work closely with colleagues from Sales, Operations, Product, Finance, and others to understand their domain, processes and come up with solutions for their problems and tools to make their day-to-day operations efficient and effective Strategic and Analytical Orientation: Experienced in decision making and problem solving based on analytics. Conceptual thinking for framework creation combined with strong quantitative orientation to solve complex problems with rigorous analytics and monitoring. Strong Communication Skills: Strong written and oral communication skills coupled with skills to influence and drive agreement through intellectual, interpersonal and negotiation skills. Execution Focus: Build and manage execution plans of business intent, requirements, execute against the strategy and monitor results. Results Focus: Focused on achieving short and long-term goals. Able to drive and execute an agenda in an uncertain, fluid environment with minimal supervision. What to Expect? The role is a combination of analytical, technical (programming), quantitative & strong communication skills. The focus areas will be within the Data Analytics/Business Intelligence/Data Science needs relevant for NCR Atleos business growth while providing immense opportunity to gain experience and grow. Build a Data Product that integrates multiple data sources internal (transaction or Hardware, Software subscription or Services data) & external (FDIC, Census, others) & enables value added visualizations to drive portfolio monitoring or pinpoint high growth markets for business expansion. Leverage leading edge technologies (Web, APIs) and programming (Python, R, others) and integrate with existing Geospatial map tools such as ESRI & Sales Force for the Product build out. The Product will marry supply side of Retailers, Financial institutions, and the Demand side of high growth market areas to laser into best profitable locations to expand the NCR Atleos ATM footprint. Utilize sophisticated data mining and programming skills to enable visualizations on Geospatial maps, other UI tools and drive training for such with the Sales team. Drive monitoring & decisioning of the existing Self Service Banking estate driving analytics on price optimization to maximize revenues. Utilize sophisticated data mining and programming skills to enable visualizations on Geospatial maps, other UI tools and drive training for such with the Sales team. Drive implementation of the Data Analytics Infrastructure, data model, tools & dashboarding to enable self-serviced analytics working closely with engineering teams and data team to ensure requirements, UAT and rollout of new data packages. Basic Qualifications: Bachelors degree preferably in Math, Data Science, Engineering, Computer Science, Information Technology, or related fields Strong Quantitative & Analytical aptitude to build statistical models. Strong SQL and Python or R programming skills Knowledge of relational databases - design, modelling, debugging, and query optimization Knowledge/Experience utilizing Web Scraping tools to extract data from websites. Knowledge in Azure or other cloud technologies, UI tools e.g. Power BI, Tableau Knowledge/Experience building data pipelines using a combination of tools REST, XML, JSON Advanced skills in MS Office: Pivot tables, VLOOKUP and complex formulae in Excel Preferred Qualifications: Recent graduates with 2-5 years work experience in data sciences or related fields Understanding of data warehouses, ETL, UI tools & expertise in SQL, Python Experience with Geospatial tools such as ESRI, specifically ArcGIS for Python Experience with Azure Pipelines Knowledge of Salesforce and experience building integration applications Experience in building out Web Interfaces and applications integrating data from disparate sources.

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

Naresh IT KPHB branch is hiring for an experienced Data Science trainer. Candidates Should have a good knowledge of Machine learning , Deep Learning , R Programming; Python, Statistics,Hadoop etc. Up to date knowledge of IT skills,software packages. Designing the Course modules as per the skills needed.Mandatory to have training experience. Responsibilities: Design and deliver comprehensive Data Science training programs for students at various experience levels. Develop engaging and interactive course modules covering core Data Science concepts, methodologies, and tools. This includes, but is not limited to: Machine Learning, Deep Learning, R Programming, Python, Statistics, and Hadoop. Stay up-to-date with the latest advancements in Data Science technologies and integrate them into your curriculum. Effectively explain complex Data Science concepts in a clear and concise manner. Conduct practical exercises and projects to provide students with hands-on experience and prepare them for real-world Data Science challenges. Provide ongoing support and guidance to students throughout the training program. Actively seek feedback from students and industry professionals to continuously improve the training content.

Bachelor's Degree or equivalent in statistics, computer science, information technology, business analytics, or other related majors Minimum of 3+ years of experience preferred Proficiency in Excel Proficiency in either Python or R Proficiency in SQL and database management Experience performing data preprocessing and cleaning Dashboarding experience would be a plus Proficient in working with JSON data formats Demonstrated ability to write clean, maintainable, and well-documented code Insurance experience would be a plus Ability to work independently and as part of a team Strong interpersonal, oral, and written communication skills, including presentation skills

Hi We are looking to hire for SAS+R Programming. Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

Hi We are looking to hire for SAS+R Programming. Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Job Code # 375 b) For Position in Hyderabad Search : Job Code # 376

Data Scientist - Python R Expertise Location - Bangalore Exp- 6 to 10 years Key Responsibilities: Develop machine learning and statistical models for various business needs, including regression, classification, and time series analysis. Implement models using Python and relevant libraries such as scikit-learn, pandas, and numpy. Apply machine learning techniques such as Linear Regression, Random Forest, Classification, and Ensemble methods. Convert R code to Python and ensure seamless integration between the two languages. Utilize R for data manipulation and analysis using tidyverse, dplyr, and data.table. Optimize and enhance existing R code for performance and scalability. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Follow best practices in software engineering to produce clean, manageable and testable code. Stay updated with the latest industry trends and advancements in data science and machine learning. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Statistics, Data Science, or a related field. 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Proven experience as a Data Scientist or similar role with hands-on experience in Python and R. Strong knowledge of machine learning algorithms and statistical modeling techniques. Proficiency in Python libraries such as scikit-learn, pandas, numpy, and matplotlib. Expertise in R programming, particularly with tidyverse, dplyr, tidymodels, and data.table. Experience with relational databases and SQL. Ability to convert R code to Python efficiently. Familiarity with software engineering principles and best practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to manage multiple projects and meet deadlines. .

At Biocon Biologics, we are creating a model for the future of healthcare for all. We are a leading company in the biosimilars revolution where patients come first. Our ambition is to impact a billion lives and we do this by fostering a culture of affordable innovation, patient-centricity, and disruptive thinking. We are a multicultural global company where employees have a purpose and passion to work closely with partners and patients. We have a long-term commitment to bringing high-quality affordable biosimilars to patients all over the globe. We have proven end-to-end expertise from clone development, manufacturing, clinical development, and regulatory approvals to commercialization. About the role- Performs biostatistical and SAS programming activities for given clinical trials involving Novel, Biosimilar and PMS studies. As a Biostatistician cum Statistical Programmer you'll work on a variety of projects, while collaborating with our cross-functional team of experts. You'll be able to develop your statistical skills, gain exposure to multiple therapeutic areas. You'll also contribute to research design and analytical strategies, provide input into protocols, Statistical Methodology and develop and review statistical analysis plans. As a Statistical Programmer, you will leverage your SAS programming skills to support Phase I-IV clinical trials. with expertise in CDISC implementation (SDTMs, ADaMs) & TFLs, and experience in Regulatory Submissions as a part of the Statistical Programming, will play a key role in supporting a growing pipeline across multiple therapeutic areas, with emphasis on regulatory submissions. Responsibilities- • Provide SAS programming support to all clinical projects (Phase 1 to 4). Manage programming CROs providing oversight for programming deliverables. Create programming related SOPs, as necessary. Works in tandem with CRO' s Biostatistics and SAS Programming and Data Management teams on various clinical projects. • Provide statistical input into and review of statistical deliverables (i.e. analysis plans, table shells, programming and table specifications, data review, tables, listings, figures, and statistical sections for integrated reports). • Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming. Applying your SAS programming skills, to create and validate datasets/analysis files, tables, listings, and figures ( TLF s). Generating complex ad-hoc reports for publications. • Reviews/Develops SAS macros, templates and utilities for data cleaning and reporting. Reviews/ analyses specified in the protocol or the Statistical Analysis Plan (SAP) is implemented while working with the biostatisticians. • Reviews CRF annotations and data specifications & discuss data structures and participate in data review activities. • Provide input into statistical programming solutions and/or ensure their efficient implementation. In consultation with the Biostatistician, responsible for reviewing of programming specifications of analysis datasets and pooled datasets. • Maintain up-to-date knowledge of programming software (e.g. SAS) as well as industry requirements (e.g. CDISC SDTM/ADaM, eCTD, Define.xml), attend functional meetings and trainings. • Establish successful working relationship on individual studies with external associates according to agreed contract and internal business guidance. Performs quality control on final reports. Ensures the accuracy of statistical programming components of scientific reports and/or publications with high quality. • Contributes to assigned parts of process improvement, standardization and other non-clinical initiatives. Technical / Functional Skills- Knowledge of applied parametric and non-parametric statistics, Mixed Model. Missing Data analysis, General Linear models - ANOVA, ANCOVA, t-test, etc. Non-Parametric methods - Binomial test, Chi-Squared test, Wilcoxon tests; Logistic regression. Strong SAS/R programming Skills in R software. Advanced SAS and other statistical computing software skills in a clinical data environment across multiple therapeutic areas. Good Knowledge of CDISC implementation (SDTMs, ADaMs). Biocon Biologics is an Equal Opportunity, EEO / Affirmative Action Employer committed to excellence through diversity. All qualified applicants will receive consideration for employment without regard to, and no employee shall be discriminated against because of their race, color, religion, age, sex (including pregnancy), national origin, disability, genetic information, status as a protected veteran or any other characteristic protected by applicable federal, state or local law.