50 R Programming Jobs

As a Data Scientist with 7 to 10 years of experience, you will be based in Chennai and work in a hybrid job mode. Your primary role will involve developing data-driven insights and innovations within the Sidekick product. This will include a focus on analytics, dashboarding, and Generative AI research and development. Your responsibilities will include developing and maintaining data analytics and dashboards for the Sidekick product to provide key insights to stakeholders. You will also conduct research and development in Generative AI to enhance Sidekick features and functionality. Analyzing large datasets to identify trends, patterns, and opportunities for improvement will be a crucial part of your role. Collaborating with product and engineering teams to transform insights into actionable strategies will also be expected. Additionally, you will be required to develop and implement machine learning models to support Sidekick's capabilities. To excel in this role, you should possess skills in R Shiny, R programming, dashboarding, and AI development. Your experience should span 7 to 10 years in data science with a strong emphasis on analytics and model development. Proficiency in programming languages such as Python, including hands-on experience with relevant libraries like pandas, scikit-learn, TensorFlow, or PyTorch is essential. Furthermore, familiarity with data visualization tools and expertise in machine learning and Generative AI techniques are also highly desirable.,

As a Senior Scientist in Decision Sciences at Western Union, based in Pune, India, you will be a pivotal part of the team responsible for managing fraud losses and optimizing revenue opportunities for online transactions. Your role will involve developing and maintaining risk models and rules to safeguard customers and Western Union against fraudulent activities. Your primary responsibilities will include: - Developing real-time and batch risk models to screen online transactions and prevent fraudulent activities - Documenting and communicating model results and insights internally - Continuously evaluating and enhancing the effectiveness of risk models and rules - Analyzing online transaction data to identify opportunities for reducing losses and creating actionable plans to capitalize on these opportunities - Profiling customer behavior to enhance the performance of models and rules To be successful in this role, you should possess: - A Master's or Graduate degree in a quantitative field such as Statistics, Math, Operations Research, MS, M-tech, or B-tech - A minimum of 5 years of relevant experience, with a proven track record in using advanced quantitative and statistical techniques - Strong problem-solving and analytical skills - Excellent communication skills to convey fraud insights effectively - Proficiency in SQL and at least one of the Python/R programming languages, with a willingness to learn new tools and technologies on the job - Experience in developing predictive models such as logistic regression, decision trees, and machine learning techniques - Intermediate knowledge of Microsoft Excel/Power BI/PPT and exposure to cloud systems like AWS Sagemaker/Dataiku would be advantageous At Western Union, we are committed to making financial services accessible worldwide and transforming lives and communities. Join our diverse and customer-centric team to be part of the future of financial services. As a valued employee, you will have ample opportunities for skill development, career advancement, and a competitive compensation package. The role is categorized as Hybrid, allowing you to work flexibly between home and office, with a minimum requirement of three days in the office per week. If you are ready to contribute to the future of financial services and make a meaningful impact, apply now and be part of Western Union's mission to connect people and businesses globally.,

As a Software Trainer at our company, you will be responsible for imparting knowledge and training in various programming languages and technical skills. You should possess a qualification of M.Tech or MCA to be considered for this role. Your main responsibilities will include teaching the following languages and technologies: - Python - C++/C/R programming - Java - HTML, CSS, JavaScript, PHP - Networking (Packet Tracer) - VMware - MATLAB programming - Linux - SQL/PLSQL In addition to technical expertise, you should also have good communication skills to effectively convey complex concepts to the learners. The ideal candidate will have a minimum of 1-15 years of experience in the field, although candidates with more experience are also welcome to apply. This is a full-time position with a morning shift schedule. The work location will be in person, and the application deadline for this role is 05/08/2025. As part of our benefits package, we offer Provident Fund to our employees. If you are passionate about teaching and have a strong background in software development, we encourage you to apply for this position and be a part of our dynamic team.,

You should hold a Bachelor's degree in Physics, Mathematics, Engineering, Metallurgy, or Computer Science, along with an MSc in a relevant field such as Physics, Mathematics, Engineering, Computer Science, Chemistry, or Metallurgy. Additionally, you should possess at least 8 years of experience in Data Science and Analytics delivery. Your expertise should include deep knowledge of machine learning, statistics, optimization, and related fields. Proficiency in programming languages like R and Python is essential, as well as experience with machine learning skills such as Natural Language Processing (NLP) and deep learning techniques. Furthermore, you should have hands-on experience with deep learning frameworks like TensorFlow, Keras, Theano, or PyTorch, and be familiar with working with large datasets, including knowledge of extracting data from cloud platforms and the Hadoop ecosystem. Experience in Data Visualization tools like MS Power BI or Tableau, as well as proficiency in SQL and working with RDBMS for data extraction and management, is required. An understanding of Data Warehouse fundamentals, experience in productionizing Machine Learning models in cloud platforms like Azure, GCP, or AWS, and domain experience in the manufacturing industry would be advantageous. Demonstrated leadership skills in nurturing technical talent, successfully completing complex data science projects, and excellent written and verbal communication are essential. As an AI Expert with a minimum of 10 years of experience, your key responsibilities will include serving as a technical expert, providing guidance in the development and implementation of AI solutions, and collaborating with cross-functional teams to integrate AI technologies into products and services. You will actively participate in Agile methodologies, contribute to PI planning, and support the technical planning of products. Additionally, you will analyze technical requirements, propose AI-based solutions, collaborate with stakeholders to design AI models that meet business objectives, and stay updated on the latest advancements in AI technologies. Your role will involve conducting code reviews, mentoring team members, and driving the adoption of AI technologies across the organization. Strong problem-solving skills, a proactive approach to problem resolution, and the ability to work under tight deadlines without compromising quality are crucial for this role. Overall, you will play a critical role in driving significant impact and value in building and growing the Data Science Centre of Excellence, providing machine learning methodology leadership, and designing various POCs using ML/DL/NLP solutions for enterprise problems. Your ability to learn new technologies and techniques, work in a fast-paced environment, and partner with the business to unlock value through data projects will be key to your success in this position.,

We are looking for a highly skilled Performance Testing Engineer with expertise in Apache JMeter to join our QA team. As a Performance Engineer at Boomi, you will be responsible for validating and recommending performance optimizations in our computing infrastructure and software. Working closely with Product Development and Site Reliability Engineering teams, you will be involved in performance monitoring, tuning, and tooling. Your role will involve analyzing software architecture, identifying potential areas for performance improvements, and working on capacity planning and benchmarking for new microservices. You will also design, automate, and execute scalability and resiliency tests using tools like blazemeter, Neoload, JMeter, and Chaos Monkey/Gremlin. Additionally, you will use observability stack to improve diagnosability and address performance bottlenecks. Your expertise in performance engineering fundamentals, monitoring performance using various tools, understanding AWS services, and recommending optimal resource configurations will be crucial. You should also have experience in analyzing heap dump, thread dump, SQL slow query log, and identifying performance bottlenecks. Flexibility to work in a remote and geographically distributed team environment is desired. Key Responsibilities: - Expert in performance engineering fundamentals such as arrival rate, workload models, responsiveness, computing resource utilization, scalability, and resiliency - Monitoring performance using native Linux OS, APM, and Infrastructure monitoring tools - Understanding AWS services to analyze infrastructure bottlenecks - Using tools like NewRelic and Splunk for APM and infrastructure monitoring - Analyzing heap dump, thread dump, SQL slow query log for performance optimization - Recommending optimal resource configurations in Cloud, Virtual Machine, Container, and Container Orchestration technologies - Flexibility to work in a remote and geographically distributed team environment Desirable Skills: - Experience in writing data extraction and custom monitoring tools using programming languages like Java, Python, R, Bash - Capacity planning and modeling using AI/ML or queueing models - Performance tuning experience in Java or similar application code Join us at Boomi as a Performance Engineer and contribute to the best work of your career while making a profound social impact. At Boomi, we value a culture of caring, continuous learning, interesting work, balance, and flexibility. If you are passionate about solving challenging problems, working with cutting-edge technology, and making a real impact, explore a career with us at Boomi.,

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

Data Scientist Notice period/ Start Date :- Immediate / less than 60 days. Location : Bangalore,Hyderabad, Mumbai, Pune, chennai , NCR Below detail JD FYR, Experience with Data Science, AI/ML and Generative AI technologies - Extensive hands-on experience in implementing end to end projects utilizing GenerativeAI using Microsoft Azure AI , OpenAI - Extensive hands-on experience in building GenerativeAI application using methodologies such as RAG - Experience in automating various aspects of the overall RAG pipeline for GenerativeAI based application - Experience in designing solutions utilizing GenerativeAI , AI and ML components. - Hands-on experience in working with Azure OpenAI services or other managed large language models - Experience with AI/ML, search and data services within Azure ecosystem such as Azure OpenAI, AI Search, CosmosDB, Functions, etc. - Experience with evaluation, validation and refinement of results from GenerativeAI RAG based applications - Experience with setting up monitoring, observability and guardrails for GenerativeAI solutions - Extensive experience in Python programming languages along with popular frameworks such as Flask, FastAPI, etc. - Experience with AIML, deep learning, TensorFlow, Python, NLP - Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with deploying applications to Microsoft Azure or other cloud platforms. Intreasted candidates please share CV On kalyani.kadhare@alikethoughts.com Thanks & Regards, Kalyani | Talent Acquisition

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You'll Do - Develop and apply advanced statistical models that help clients understand dynamic business issues. - Leverage analytic techniques to use data to guide client and ZS team decision-making. - Design custom analyses in R, Tableau, SAS, Visual Basic, and Excel to investigate and inform client needs. - Synthesize and communicate results to clients and ZS teams through oral and written presentations. - Develop client relationships and serve as a key point of contact on aspects of projects. - Provide client and ZS teams project status updates. - Create project deliverables and implement solutions. - Advance problem-solving skills and improve ZS's capabilities. - Guide and mentor Associates on teams. What You'll Bring - Experience in working with the Pharma Industry. - Experience in working with real-world data sources such as patient claims data, EMR, consumer data, etc. - Experience in the analysis of large data sets; SQL-R, programming skills. - Experience in the statistical design and analysis of prospective or retrospective observational studies and familiar with working with large epidemiological datasets focusing on anonymized data. - 3 - 6 years of work experience with domain knowledge/expertise in Healthcare/Life Sciences/Med Tech is preferred. - MBA with bachelor's (and often graduate) degrees in engineering, business, psychology, or physical/life sciences with a strong academic record of analytic and quantitative work. - Agile project planning and project management skills. - Excellent communication skills. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client-facing ZSers; the business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,

Genpact is a global professional services and solutions firm with a team of over 125,000 professionals in more than 30 countries. Driven by curiosity, agility, and the desire to create lasting value for clients, we serve leading enterprises worldwide, including the Fortune Global 500. Our purpose is the relentless pursuit of a world that works better for people, and we achieve this through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Principal Consultant, Research Data Scientist. We are looking for candidates with relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. The ideal candidate should have full cycle experience in at least one large-scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, technology & analytic solutioning, implementation, and change management. Experience in Hadoop, including development in the map-reduce framework, is also desirable. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems, and working with database teams to deliver large-scale text analytic solutions. Responsibilities: - Develop transformative AI/ML solutions to address clients" business requirements - Manage project delivery involving data pre-processing, model training and evaluation, and parameter tuning - Manage stakeholder/customer expectations and project documentation - Research cutting-edge developments in AI/ML with NLP/NLU applications in various industries - Design and develop solution algorithms within tight timelines - Interact with clients to collect and synthesize requirements for effective analytics/text mining roadmap - Work with digital development teams to integrate algorithms into production applications - Conduct applied research on text analytics and machine learning projects, file patents, and publish papers Qualifications: Minimum Qualifications/Skills: - MS in Computer Science, Information Systems, or Computer Engineering - Relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms Technology: - Open Source Text Mining paradigms (NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene) and cloud-based NLU tools (DialogFlow, MS LUIS) - Statistical Toolkits (R, Weka, S-Plus, Matlab, SAS-Text Miner) - Strong Core Java experience, programming in the Hadoop ecosystem, and distributed computing concepts - Proficiency in Python/R programming; Java programming skills are a plus Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG, with text analytics experience on large structured and unstructured data - Knowledge of AI Methodologies (ML, DL, NLP, Neural Networks, Information Retrieval, NLG, NLU) - Familiarity with Natural Language Processing & Statistics concepts, especially in their application - Ability to conduct client research to enhance analytics agenda Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, and Machine learning/Deep learning methods - UI development paradigms for Text Mining Insights Visualization - Experience with Linux, Windows, GPU, Spark, Scala, and deep learning frameworks Methodology: - Social Network modeling paradigms, tools & techniques - Text Analytics using NLP tools like Support Vector Machines and Social Network Analysis - Previous experience with Text analytics implementations using open source packages or SAS-Text Miner - Strong prioritization, consultative mindset, and time management skills Job Details: - Job Title: Principal Consultant - Primary Location: India-Gurugram - Schedule: Full-time - Education Level: Master's/Equivalent - Job Posting Date: Oct 4, 2024, 12:27:03 PM - Unposting Date: Ongoing - Master Skills List: Digital - Job Category: Full Time,

Levitation Infotech is offering an Internship position for an R Shiny Intern. As an intern at Levitation Infotech, you will be responsible for developing R Shiny applications, creating interactive data visualization tools, and utilizing R programming for statistical analysis. While there is some flexibility for remote work, the primary location for this role is in Noida. To excel in this role, you should possess skills in R Programming, Shiny Development, and Data Visualization. Additionally, you should have expertise in Statistical Analysis and Data Interpretation. Experience in creating interactive web applications is crucial, along with strong problem-solving and analytical abilities. The ability to work both independently and collaboratively in a team is highly valued. Excellent communication and presentation skills are essential for effective collaboration within the company. Ideally, you should be pursuing or have completed a Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field. Knowledge of machine learning concepts would be considered a plus for this role. If you are passionate about leveraging technology for positive change and enjoy working in a dynamic and innovative environment, this Internship opportunity at Levitation Infotech could be the perfect fit for you. Join us in our mission to provide comprehensive technology solutions for businesses to scale and make a significant impact in the industry.,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

As a Junior Data Analyst/Trainer in our dynamic team, you will be responsible for providing advanced-level training in data analytics to students with technical backgrounds and working professionals aiming to transition into the field. Your primary focus will be on delivering tailored training programs to meet the specific needs of individuals venturing into data analytics. Your key responsibilities will include conducting advanced training sessions covering a wide range of topics such as data preparation and analysis using tools like Excel, SQL, Tableau, and Python. You will guide participants through hands-on projects to enhance their understanding and practical application of various data analytics techniques. Furthermore, you will play a crucial role in assisting students in conceptualizing, planning, and executing academic projects that showcase their proficiency in data analytics. You will be directly responsible for overseeing all training activities, including classes, project development, evaluation, and mentoring of junior trainees. This is a full-time, permanent position that offers benefits such as commuter assistance and internet reimbursement. The work location is in person, and the application deadline for this role is 28/07/2025, with an expected start date on the same day. If you are passionate about data analytics and enjoy empowering others through education and hands-on training, we encourage you to apply for this exciting opportunity.,

As a Senior R Developer at MResult, you will play a crucial role in supporting the development, validation, and deployment of models and tools used in drug development and clinical research. Your responsibilities will include developing and maintaining R scripts, packages, and Shiny applications for data analysis and visualization. You will be involved in performing statistical analysis and data manipulation related to clinical trials and PK/PD data. Collaboration with pharmacometricians and clinical scientists will be key as you work together to develop PK models and support modeling workflows. Automating data cleaning, processing, and reporting tasks will be part of your daily activities. You will also integrate PK/PD datasets with clinical trial data and prepare analysis-ready datasets. Ensuring code validation and documentation as per regulatory compliance standards such as FDA and EMA will be essential. In addition to technical responsibilities, you will generate reports and graphical outputs using tools like R Markdown and participate in cross-functional project teams, providing input on statistical and modeling strategies. To succeed in this role, you should have a Bachelor's or Masters degree in Statistics, Data Science, Bioinformatics, Pharmacology, or a related field and a minimum of 5 years of experience in R programming. Experience with R package development, version control using Git/GitHub, and hands-on experience in Pharmacokinetics (PK) is required, preferably in a clinical or pharmaceutical setting. A strong understanding of PK/PD concepts, NONMEM outputs, and model diagnostics will be beneficial. Excellent problem-solving skills, the ability to communicate complex results to non-technical stakeholders, attention to detail, and a commitment to code quality and reproducibility are essential qualities for success in this role. At MResult, you will have the opportunity to work with some of the world's most recognized brands, access growth opportunities, and contribute to cutting-edge solutions while enjoying the flexibility of hybrid work models. As an equal-opportunity employer, MResult is committed to fostering an inclusive environment free of discrimination and harassment. Join us at MResult, where your ideas help shape the future.,

As a Software Trainer for our team, you will be responsible for imparting knowledge and training on a variety of programming languages and technologies. Your primary focus will be on teaching languages such as Python, C++/C/R programming, Java, HTML, CSS, JavaScript, PHP, Networking (Packet Tracer), VMware, MATLAB programming, Linux, and SQL/PLSQL. Your expertise in these areas will be crucial in guiding and mentoring individuals looking to enhance their skills. To excel in this role, you must possess a qualification of M.Tech or MCA. Additionally, having good communication skills will be essential to effectively convey complex technical concepts to the learners. We are seeking candidates with experience ranging from 1 year to 15 years and above, who can bring a wealth of practical insights and industry knowledge to the training sessions. This is a full-time position with benefits including Provident Fund. The work schedule is set for the morning shift, and you will be required to work in person at our designated work location. If you are passionate about sharing your expertise and shaping the next generation of tech professionals, we encourage you to apply before the application deadline on 25/07/2025.,

We are seeking a skilled Statistical Programmer with a strong background in R Programming to become a valuable addition to our expanding team. This remote position is ideal for individuals who are enthusiastic about clinical data analysis and programming, particularly those with a deep understanding of CDISC standards. As a Statistical Programmer, your main responsibilities will include developing, validating, and managing SDTM, ADaM datasets, and TLFs in compliance with CDISC guidelines. You will be conducting efficacy analyses using R programming, working autonomously on studies, and providing support for clinical trial submissions. Collaboration with various teams in an FSP environment will be crucial, along with efficient debugging and utilization of standard macros. If you have experience with integrated summaries (ISS/ISE), it is considered a plus. The ideal candidate should possess 6 to 8 years of relevant experience in statistical programming, with a minimum of 3 years of hands-on experience in R programming. A strong working knowledge of CDISC standards such as SDTM, ADaM, and TLF is essential, along with exposure to efficacy analysis. Senior-level profiles should have experience in handling studies at the study level. Preferred skills for this role include familiarity with the CRT package (Trial Data Domain), previous involvement in ISS and ISE, experience in an FSP environment, and proficiency in standard macro debugging and utilization. In return, we offer a bootstrapped and financially stable environment with an above-industry renumeration package. Additional compensation is tied to Renewal and Pilot Project Execution, along with lucrative business development incentives. Our organization provides opportunities for firm building and holistic professional development, emphasizing empathy, excellence, and results. We believe in mentoring and nurturing our team members, with a continuous focus on learning and growth.,

As a Technical Customer Support Engineer at Crunch.io, you will play a pivotal role in providing exceptional customer support, conducting product testing, assisting the sales team, and managing professional services projects. Your responsibilities will involve resolving complex technical issues affecting product performance, testing new features, preparing datasets for demonstrations, and executing specific projects for customers. To excel in this role, you will need to develop a deep understanding of the application, communicate effectively with customers via email and web calls, maintain strong relationships with customers, and handle user questions and reported problems efficiently. Additionally, you will be responsible for prioritizing customer cases, troubleshooting and debugging issues, escalating relevant support issues to product management, and contributing to the knowledge base by keeping documentation up-to-date. The ideal candidate for this position is someone with experience in data processing for market research surveys, a background in market research operations, and proficiency in a statistical programming language. You should possess excellent problem-solving skills, strong communication abilities, exceptional organizational skills, and the flexibility to multitask and handle a high volume workload. Attention to detail and a proactive approach to finding solutions are essential qualities for success in this role. Crunch.io is a remote company that values hiring the best talent regardless of geographical location. This position may require flexibility in time zone coverage, potentially encompassing support for US and European time zones. Working remotely demands high motivation, productivity, and contributes to fostering a healthy work-life balance. As a startup with a fast-paced culture and backed by a public company, employees at Crunch.io enjoy excellent benefits and growth opportunities.,

As a Data Science Trainer, your primary responsibility will be to deliver advanced training sessions in various topics related to data science. You will cover a wide range of subjects including Python Programming for Data Science, Mathematics & Statistics for AI, AI Ethics, Data Access, Handling and Visualization, Analyzing Data with Python, Visualizing Data with Python, Tableau, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision (CV), Full Stack Development, Generative AI, R Programming, Scala, and Spark. This is a full-time position that requires you to conduct training sessions in person. You will be expected to start on the 23rd of July, 2025.,

You are a boutique data analytics consultancy specialized in Health Economics and Outcomes Research (HEOR), pricing, and market access. Your clientele includes pharmaceutical and medical device companies, as well as midsize and large consultancies worldwide. Your dedicated team of expert health economists and systematic reviewers ensures the delivery of high-quality work within specified timelines. In this role, your key responsibilities will involve conducting statistical analysis necessary for submissions to HTA agencies like NICE and PBAC. You will be responsible for developing proposals, project reports, and various deliverables for clients. Your tasks will also include designing, analyzing, and interpreting data utilizing a diverse range of statistical approaches and relevant software. Furthermore, you will review study plans, reports, and presentations, ensuring adherence to Skyward's best practices. You will be expected to identify and develop methodologies, strategies, and findings in reports and presentations. Developing and executing statistical analysis plans (SAP) for clinical trial data using R or SAS is a crucial aspect of your role. Your duties will also involve digitizing and performing parametric survival analysis using Kaplan-Meier data from publications and clinical trials. You will conduct indirect treatment comparisons and Network Meta-Analyses (NMA) as required. Additionally, you will provide support to the health economic modeling team and offer writing assistance for publications based on statistical analyses. Effective communication is key in this role, as you will be required to articulate detailed technical reports of the analysis performed both verbally and in writing. Maintaining clear and timely communication with clients and internal project teams is essential for project execution efficiency. To be successful in this position, you should possess a minimum of 4 years of experience in Health Economics and Outcomes Research (HEOR) and hold an MS or PhD in Statistics or a relevant field. Proficiency in health technology assessment (HTA) submissions, advanced programming skills in R, and a solid understanding of key statistical concepts and techniques are prerequisites for this role.,

RARR Technologies is looking for R Programmer to join our dynamic team and embark on a rewarding career journey Develop software applications based on business requirements and technical specifications Write clean, efficient, and maintainable code Test and debug software applications to ensure they meet quality standards Collaborate with cross-functional teams to design, develop, and deploy new features Troubleshoot and resolve software defects and issues Optimize software performance and ensure scalability Conduct code reviews and provide constructive feedback to team members Stay up-to-date with industry trends and emerging technologies Document software designs, code, and technical specifications Participate in agile development processes and contribute to continuous improvement

About the Internship: We are looking for a highly motivated and analytical MBA intern who possesses a solid understanding of digital marketing principles and data analytics. This internship provides a valuable opportunity to acquire practical experience in a fast-paced setting, where you will actively contribute to real-world marketing strategies and utilize data to propel business growth. The ideal candidate will play a crucial role in bridging marketing initiatives with data-driven insights, assisting in the optimization of campaigns and comprehension of customer behavior. Key Responsibilities: Data Analysis & Reporting: You will be responsible for collecting, cleaning, and analyzing data from a variety of digital marketing channels such as website analytics, social media, email campaigns, paid ads, and CRM systems to detect trends, patterns, and insights. Developing and managing marketing dashboards and reports utilizing tools like Google Analytics, Tableau, Power BI, or similar platforms, to offer actionable recommendations to the marketing team. Conducting in-depth analyses on campaign performance, customer segmentation, and user journeys to unveil opportunities for enhancement. Aiding in the setup and analysis of A/B tests and multivariate tests to enhance conversion rates and user engagement. Digital Marketing Strategy & Execution Support: Providing support in the development and execution of digital marketing campaigns across multiple channels including SEO, SEM, social media, email marketing, and content marketing. Performing market research and competitive analysis to recognize new opportunities and guide marketing strategies. Assisting in the optimization of website content and landing pages for better search engine ranking and user experience. Collaborating with the marketing team on content strategy by identifying data-driven topics and formats that resonate with target audiences. Strategic Insights & Recommendations: Translating intricate data findings into clear, concise, and actionable recommendations for stakeholders. Delivering findings to cross-functional teams such as marketing, product, and sales to influence business decisions. Contributing to the ongoing enhancement of our digital marketing and data analytics processes. Qualifications: Currently pursuing a Master of Business Administration (MBA) degree from an accredited institution. Possess a strong academic background with a focus or specialization in Marketing, Business Analytics, Data Science, or a related field. Demonstrated comprehension of digital marketing concepts and channels including SEO, SEM, social media, email marketing, and content marketing. Proficient in data analysis tools and techniques, with strong Excel skills. Familiarity with web analytics platforms like Google Analytics, Adobe Analytics, and other marketing automation or CRM tools such as HubSpot, Salesforce. Experience with data visualization tools like Tableau, Power BI is advantageous. Basic knowledge of SQL or programming languages like Python/R for data manipulation and analysis is highly desirable. Excellent analytical, critical thinking, and problem-solving abilities. Strong written and verbal communication skills with the capacity to present complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced, dynamic environment. High level of curiosity, proactivity, and a strong desire to learn and contribute.,

You should have 3-5 years of experience as a Data Analyst and possess expertise in data-driven problem solving. Your skills should include proficiency in Data Modelling, Data Mining, and Data Segmentation Methods. You must excel in analytical thinking, business modelling, and problem-solving. Advanced Microsoft Excel skills are a must, along with experience working with MS SQL. Knowledge of R Programming is essential, as well as experience with XML, ETL frameworks, and JavaScript. You should be adept at creating queries and reports and having experience with QlikView/Tableau will be advantageous. A good understanding of Microsoft Office and excellent communication skills, both verbal and written, are required. As a Data Analyst, your responsibilities will include applying Data Modelling, Data Mining, and Data Segmentation techniques to the available data. You will be expected to identify and analyze trends or patterns in complex data sets using statistical methods and interpret the data based on the analyzed trends and patterns. Collaboration with management to prioritize business requirements and identifying improvement opportunities in business processes will also be part of your role. This is a Full-Time position located in Vadodara. The educational requirements for this role include a BE (IT), BE (CS), MCA, MSC (IT), BSC in Statistics, or MSC in Statistics. Salary details will be discussed in person. Please send your resume to info@99plusitsolutions.com or 99plusit@gmail.com for consideration.,

The Statistical Programmer II position at Princeps Technologies in Hyderabad is a key role within our organization. As a data-driven company specializing in advanced analytics and technology solutions for the pharmaceutical and biotechnology sectors, we are dedicated to innovation, quality, and client success. As a Statistical Programmer II, you will be responsible for developing and validating SDTM datasets according to CDISC standards, creating ADaM datasets following current guidelines, and programming Tables, Listings, and Figures (TLFs) as per sponsor requirements. Your role will also involve generating subject narratives, producing clinical registry files, performing quality control on programming deliverables, and preparing electronic submission packages that adhere to global regulatory standards. The ideal candidate for this position is a SAS programmer with over 4 years of experience in clinical trial data analysis. You should be proficient in SAS Base and Macro programming, particularly for SDTM, ADaM, and TLFs, and have knowledge of clinical domains such as safety, efficacy, and PK/PD. Familiarity with CDISC standards, metadata programming, and sponsor-defined analysis standards is essential, while experience with Therapeutic Area User Guides (TAUGs) and R programming would be advantageous. To be successful in this role, you should possess strong documentation, quality control, and regulatory compliance skills. A Bachelor's or Masters degree in Statistics, Life Sciences, Computer Science, or related fields is preferred, along with experience in preparing submission-ready data and documentation. Effective communication and collaboration skills are valued, as is an understanding of regulatory expectations from agencies like the FDA and EMA. Joining Princeps Technologies means becoming part of a talented and mission-focused team dedicated to global clinical research and regulatory innovation. You will have the opportunity to work in a supportive environment with onsite collaboration in Hyderabad, along with competitive compensation and professional development prospects.,

You should have 3 to 5 years of experience in Software such as EdgeCAM, CreoNC, Vericut simulation with all machining processes. Your knowledge should include various cutting tools, presetters like Zoller, TMS, TDM, and materials like Cast Iron and Steel. Your position-specific duties will involve CNC programming in EDGECAM, CreoNC software, machining simulation in Vericut, and tooling drawings and modeling in Creo & AutoCAD. You should possess skills in cutting tools and have a good understanding of Process Stage Drawings. It is mandatory for you to have advanced skills in Excel, Macros, VBA, Dashboards, MS-Access, WorkNC, SolidWorks, Computer Numerical Control (CNC) Programming, Autodesk AutoCAD, Creo Parametric, Edgecam, VERICUT, Siemens NX, R Programming, PowerMILL, CAM Software, and Microsoft Power Business Intelligence (BI).,

The Senior Data Science Engineer will leverage advanced data science techniques to solve complex business problems, guide decision-making processes, and mentor junior team members. This role requires a combination of technical expertise in data analysis, machine learning, and project management skills. Responsibilities Data Analysis and Modeling: Analyze large-scale telecom datasets to extract actionable insights and build predictive models for network optimization and customer retention. Conduct statistical analyses to validate models and ensure their effectiveness. Machine Learning Development: Design and implement machine learning algorithms for fraud detection, churn prediction, and network failure analysis. Telecom-Specific Analytics: Apply domain knowledge to improve customer experience by analyzing usage patterns, optimizing services, and predicting customer lifetime value. ETL Processes: Develop robust pipelines for extracting, transforming, and loading telecom data from diverse sources. Collaboration: Work closely with data scientists, software engineers, and telecom experts to deploy solutions that enhance operational efficiency. Data Governance: Ensure data integrity, privacy, security and compliance with industry standards Qualifications Advanced degree in Data Science, Statistics, Computer Science, or a related field. Extensive experience in data science roles with a strong focus on machine learning and statistical modeling. Proficiency in programming languages such as Python or R and strong SQL skills. Familiarity with big data technologies (e.g., Hadoop, Spark) is advantageous. Expertise in cloud platforms such as AWS or Azure.

Bioinformatician (1.06 - 4 Years Experienced in Cancer Projects Only) (Important Notes: (1) It is a Desk Job (Onsite Job), operating for 6 days / week working pattern and (2) Immediate Joiners Preferred) Job Summary: We are seeking a highly motivated and skilled Bioinformatician to join our team. The successful candidate will have strong programming skills in either Python or R and should have some open source code available for review on platforms such as Github. The Bioinformatician will be responsible for developing novel bioinformatics tools and maintaining existing ones to improve our NGS pipeline as well as collaborating with the rest of the team to integrate these tools into multiple projects. Hence, someone who has good hands-on-experience in handling NGS data and doing DNA-sequencing analysis works on it with a strong coding skills background should apply only. Key Responsibilities: Develop and maintain novel bioinformatics tools to improve our NGS pipeline. Actively enhance our NGS pipelines using publicaly available tools and databases. Collaborate with the rest of the team to integrate these tools into our research projects. Analyze and interpret data and contribute to the writing and reporting of research findings. Contribute to the development and maintenance of our in-house bioinformatics infrastructure. Qualifications: Strong programming skills in either Python or R. Some experience in DNA-seq analysis. Some open source code available for review on platforms such as Github. Comfortable working in a Unix environment, working with tools like Docker and writing shell scripts. Strong understanding of best practices in software development. Strong problem-solving skills and attention to detail. Good communication skills, both written and verbal. A degree in bioinformatics, computer science or a related field is preferred, but not required.