45 R Shiny Jobs

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

Job Summary We are looking for an enthusiastic R Developer with 1-3 years of hands-on experience in developing analytical solutions, data processing, and reporting using R. The ideal candidate should be skilled in writing clean, efficient R code, building dashboards or applications, and working with large datasets to deliver actionable insights. Key Responsibilities Develop, optimize, and maintain R scripts, functions, and packages for data manipulation, analysis, and visualization. Build interactive dashboards and applications using R Shiny (or similar frameworks). Perform data cleaning, transformation, and exploratory data analysis (EDA). Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable R-based solutions. Integrate R solutions with databases, APIs, and external tools. Automate reporting workflows and create reproducible research/analysis pipelines. Debug, test, and document R code to ensure reliability and maintainability. Required Skills & Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 13 years of professional experience working with R in a data-driven environment. Strong knowledge of R programming , including data wrangling (dplyr, tidyr), visualization (ggplot2, plotly), and statistical modeling. Experience with R Shiny for developing interactive dashboards (preferred). Familiarity with SQL and database integration. Understanding of version control systems (e.g., Git). Good problem-solving skills and ability to work with cross-functional teams. Good to Have (Optional Skills) Exposure to Python or other programming languages. Experience with machine learning libraries (caret, mlr, tidymodels). Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker). Familiarity with reporting tools (Tableau, Power BI). Perks & Benefits Competitive salary and performance-based incentives. Learning and development opportunities. Exposure to real-world business problems in [industry/domain]. Flexible working environment.

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across various industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many everyday objects are conceived and manufactured using our Product Lifecycle Management (PLM) software. We are looking for a Research Engineer to join our Business Analytics team, who is curious, driven, and hands-on. In this role, you will focus on developing cutting-edge AI and data science solutions. Your responsibilities will include designing and implementing data-driven solutions, performing end-to-end data science workflows, building and maintaining RESTful services and APIs, developing interactive dashboards, contributing to developing LLM-based applications and AI Agents, integrating solutions with database systems, participating in research projects, transferring research results into actionable tools, supporting junior team members, and presenting research outcomes internally and externally. Key Responsibilities: - Design and implement data-driven solutions using machine learning models. - Perform end-to-end data science workflows. - Build and maintain RESTful services and APIs. - Develop interactive dashboards using Power BI or R Shiny. - Contribute to developing LLM-based applications and AI Agents. - Integrate solutions with traditional and vector database systems. - Participate in internal research projects and collaborations. - Transfer research results into actionable tools. - Support and coach junior team members. - Present research outcomes in internal and external forums. Required Skills & Experience: - 2-4 years of hands-on experience in data science, machine learning, or AI application development. - Proficiency in Python; working knowledge of R is advantageous. - Experience with FastAPI and building REST APIs. - Solid grasp of machine learning fundamentals. - Strong capabilities in data analysis, feature engineering, and model evaluation. - Basic understanding of frontend technologies. - Familiarity with business intelligence tools. - Working knowledge of LLMs, AI agents, and related technologies. - Understanding of relational and vector databases. Education: Bachelor's degree in Computer Science or related field. Soft Skills & Attributes: - Proven problem-solving and critical thinking abilities. - Creative and resourceful with a passion for research and innovation. - Strong business analysis and communication skills. - Excellent time management, organization, and proactive mindset. - A team player who thrives independently. - Open to feedback, vocal about ideas, and collaborative. Join us at Siemens, where over 377,000 minds are building the future across 200 countries. We value diversity and welcome applications that reflect our communities. Employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity to help shape tomorrow with us. We offer a comprehensive reward package, including competitive salary, bonus scheme, holiday allowance, pension, and private healthcare. Siemens Software. Transform the Everyday with Us.,

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

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

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

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

Date: 13 Jun 2025 Location: Bangalore Custom Field 1: Dedicated Centre Job Description Designation: LEAD Job Location: Bangalore Department: TRANSLATIONAL MEDICINE About Syngene Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation. Job Purpose Provide strategic and technical leadership to build and manage a world-class bioinformatics team. They will work closely with key stakeholders across Translational Medicine teams to identify the highest priority scientific questions and devise experiments and strategies to address them. Key Responsibilities Strategic and technical leadership of a world class innovative computational research org. Line management of 2+ PhD scientists Ability to work across multiple diseases areas including Immunology, Oncology, Hematology and/or Neuroscience Identify and implement state-of-the-art computational methods for data exploration, visualization, analysis, and integration of multi-omic, high-dimensional Develop and implement computational pipelines to analyze NGS data (WES, WGS, MRD, ctDNA, Methylation) in collaboration with the BMS computational genomics team Evaluate the performance of existing or new NGS assays (sensitivity, accuracy, concordance) Interpret quality control data metrics from NGS assays and communicate effectively with the team and the respective stakeholders Collaborate closely with others on the BMS Informatics & Predictive Sciences and translational research teams to evaluate, develop, and apply cutting-edge methods for analysis of multi-modal, high-dimensional -omics data Clearly communicate computational research and findings to other computational scientists, experimentalists, and clinicians across BMS Research sites. Partner with key stakeholders across the company to set and implement bioinformatics strategy Recruit and develop talent Set priorities, balance team workload Communicate effectively to build support for work and align with organization Educational Qualification Ph.D. Technical Skills Hands-on experience with relevant public domain data sets including 1KG, Exac, GnomAD, and TCGA. Fluency with cloud and Linux based high performance compute environments, R/Bioconductor and reproducible research practices. Expertise in algorithmic implementation, statistical programming, and data manipulation, using e.g., R or Python, and contemporary, open-source bioinformatics tools and database structures Solid grounding in statistical theory and familiarity with recent developments in statistics Skilled at working with large omics data sets (transcriptomic, genomic, proteomic, and/or epigenomic data) Understanding of cancer genomics and epi-genomics is required Proficient with high-performance computing environments like cloud computing (AWS) Working knowledge of workflow languages for example: CWL or Nextflow Working knowledge of web frameworks like R Shiny or Django Partner with key stakeholders across the company to set and implement bioinformatics strategy Recruit and develop talent Behavioral Skills Strong problem-solving and collaboration skills, and rigorous and creative thinking Excellent written and oral communication skills, including an ability to discuss and explain complex ideas with computational scientists, experimentalists, and clinicians The ability to work across organizations to define and solve problems that will benefit the whole. Capable of establishing strong working relationships across the organization. Collaborating to solve challenging problems at the intersection of modern statistics and medicine to help bring new medicines to patients Communicate effectively to build support for work and align with organization Experience 10-15 Years Equal Opportunity Employer It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities. Show more Show less

Phastar is a globally recognized biometric Contract Research Organization (CRO) that partners with pharmaceutical, biotechnology, and medical device companies to deliver high-quality biostatistics, programming, data management, and data science services. Accredited for excellence by Best Companies, Phastar is dedicated to fostering a rewarding work environment and is committed to ensuring employee engagement, workplace satisfaction, and a healthy work-life balance. With a presence in multiple countries worldwide, Phastar stands as a leader in specialized biometrics, emphasizing quality and technical expertise as its key values. As a clinical programmer with a strong background in SAS and R programming, you will play a crucial role in bridging legacy clinical trial systems with modern open-source solutions while adhering to CDISC standards and regulatory requirements. Your responsibilities will include converting existing SAS programs for SDTM and ADaM datasets, developing interactive applications using R Shiny, and creating parameterized R Markdown reports and Shiny dashboards for enhanced clinical data visualization. Moreover, you will design and implement CDISC-compliant data pipelines, conduct SAS-R validations, and support regulatory submissions, among other duties. The ideal candidate will possess over 8 years of SAS experience, proficiency in R programming and R Shiny, and a demonstrated ability to convert SAS programs to R. Additionally, a deep understanding of SDTM/ADaM implementations, clinical data checks, and clinical trial protocols is required. Knowledge of Python coding is considered a plus. Phastar offers a supportive and flexible work environment, structured training and development plans, and competitive salary and benefits. If you are passionate about quality, technical expertise, and contributing to cutting-edge data science techniques, this is an excellent opportunity to join a renowned CRO. This position is open for remote work and applications are welcome from candidates located in the UK and selected European countries. If you believe you have the necessary skills and motivation for this role, we encourage you to apply and be a part of our award-winning team at Phastar.,

Hiring for Statistical Programmers with strong experience in end-to-end programming ( SDTM, ADaM, TLF ) for a leading Clinical Research organistaion. Location: Remote Role & responsibilities Title: Senior Statistical Programmer Experience: 6+ years Skills Required: Technical: R (expert), Python (proficient), SQL (proficient), experience in IHD software Experience in RWD , mainly in Pharmacology and Epidemiology (post-marketing) Hands-on experience with Real World Databases Optum, Marketscan, Flatiron, JMDC Familiarity with AI/ML, Data Visualization, and reporting tools to apply share Resumes with Puja.k@maxisclinical.com Regards Puja Khemchandani

We are looking for a highly experienced Senior Biostatistician Consultant with over 8 years of experience in statistical modeling, platform development, and advanced analytical solutions. This role requires in-depth knowledge of biostatistics, statistical process control, and extensive experience in developing and deploying R Shiny-based analytical platforms. As a Senior Biostatistician Consultant, you will play a crucial role in building scalable statistical platforms that facilitate data-driven decision-making through advanced analytics. Your responsibilities will involve guiding scientific data interpretation, supporting both regulated and non-regulated environments, and delivering top-notch analytical solutions. Your key responsibilities will include designing, developing, and deploying robust R Shiny applications and platforms for real-time data analysis in scientific and manufacturing settings. You will collaborate with IT and analytics teams to ensure platform scalability, security, and user-centric design. Additionally, you will lead statistical modeling for complex datasets, emphasize univariate and multivariate analysis, and employ advanced techniques such as SPC, PCA, hypothesis testing, and more. In your role, you will act as the primary statistical advisor to cross-functional teams, present statistical findings clearly to stakeholders, recommend appropriate methodologies based on study design, and support data governance initiatives. Furthermore, you will mentor junior statisticians and platform developers, stay updated with statistical methodologies, and contribute to thought leadership within the organization. To qualify for this position, you should hold a Ph.D. or Master's degree in Biostatistics, Statistics, Applied Mathematics, or a related field. You must have over 8 years of experience in applied biostatistics, including proficiency in developing R Shiny applications and statistical platforms. Strong communication, collaboration, and documentation skills are essential, along with familiarity with GxP guidelines and regulatory considerations in clinical or manufacturing analytics. Join our team at Aventior, a leading provider of innovative technology solutions for businesses worldwide. We leverage cutting-edge technologies like AI, ML Ops, and DevOps to address complex business challenges and foster growth for our clients. Our comprehensive data development and management services cater to various needs, ensuring customized solutions that align with each client's requirements. If you are eager to make a significant impact in the field of biostatistics and analytics, we welcome you to apply for this rewarding opportunity.,

Role & responsibilities Create and Validate Safety and Efficacy Analysis Datasets in adherence with CDISC and client specific standards and maintain quality and accuracy. Create and Validate Safety and Efficacy Tables, Listings and Figures with high quality and accuracy. Create Study specific or general macros and finalize programming specifications/mock-ups. Adhere to programming specifications and study specific requirements, including completion and filing of required documentation. Plan and organize workload to ensure effective time management and adherence to project specific timelines. Preferred candidate profile 5+ years work experience in ADAM and R programming Experience with R Packages, R programming - Data Manipulation R Shiny dashboard is a plus R Markdown is a plus R Validation and Debugging options experience

As an Associate Manager - Senior Data Scientist at our company, you will have the opportunity to tackle some of the most significant business challenges faced by our clients by leveraging a variety of AI and ML technologies. Your role will involve close collaboration with business partners and subject matter experts to conceptualize and implement innovative solutions leveraging data to achieve predefined objectives. Engaging with clients to gain a deep understanding of their current and future business objectives and translating these into analytical frameworks will be a key aspect of your responsibilities. You will be tasked with developing customized models based on a thorough comprehension of the underlying data, data structures, and business challenges to ensure that the deliverables align with the specific needs of the clients. Creating models that are repeatable, interpretable, and scalable will also be a crucial part of your role. Effective communication of the analytics approach and insights to a broader business audience will be essential. Additionally, collaborating with team members, peers, and leadership both within our organization and at client companies will be pivotal for success in this role. To qualify for this position, you should possess a Bachelor's or Master's degree in a quantitative field such as CS, machine learning, mathematics, or statistics, or have equivalent experience. You should have at least 5 years of experience in data science with a focus on building hands-on ML models. Your expertise should extend to working with LMs such as Llama, T5, Falcon, Langchain, or similar frameworks, and you should have a comprehensive understanding of the evolution of NLP from Traditional Language Models to Modern Large Language Models. Familiarity with concepts such as LORA, RAG, Instruct fine-tuning, and Quantization is also required. Experience in leading the complete lifecycle of predictive modeling solutions, proficiency in Python programming with knowledge of numerical, data analysis, and AI frameworks like NumPy, Pandas, Scikit-learn, and Jupyter, as well as advanced SQL skills with exposure to SQL Server and Spark is crucial. Knowledge of predictive/prescriptive analytics, machine learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks is necessary. Moreover, experience in Natural Language Processing (NLTK) and text analytics for tasks such as information extraction, parsing, and topic modeling is preferred. Strong verbal and written communication skills, excellent troubleshooting and problem-solving abilities, and the ability to thrive in a dynamic and innovative environment are essential attributes for this role. Familiarity with data visualization tools like PowerBI, Tableau, R Shiny, and experience with cloud platforms such as Azure and AWS are advantageous but not mandatory.,

As a Data & System Architect at Cisco, you will be an integral part of our innovative team that leverages cutting-edge technology to create impactful solutions. Your role will involve designing and developing advanced data and system architecture to meet the evolving business needs of Cisco. You will collaborate with a diverse group of professionals in industries such as healthcare, education, and retail to deliver transformative results. Your responsibilities will include: - Designing and developing data and system architecture, including data models, database designs, and ETL processes to align with business requirements. - Providing technical leadership and guidance to the data and analytics team. - Collaborating with various stakeholders such as business analysts, data scientists, and data analysts to understand data needs and implement systemic solutions. - Ensuring seamless integration and interoperability of systems with existing infrastructure and third-party applications. - Identifying and resolving performance bottlenecks to optimize system speed, scalability, and reliability. - Creating and maintaining detailed documentation of system architecture, design decisions, and technical standards. - Evaluating and recommending new technologies, tools, and frameworks to enhance system performance and security. - Ensuring compliance with relevant security standards, regulations, and best practices. - Mentoring and supporting junior architects and team members to foster a culture of innovation and continuous learning. Minimum Qualifications: - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - At least 7 years of experience in system architecture, design, and development, with expertise in the supply chain domain. - Proficiency in SQL, database management systems (e.g., Oracle, SQL Server, MySQL), data warehousing, ETL tools, and data modeling tools. - Programming skills in Python and R Shiny. - Strong analytical and problem-solving abilities with experience managing complex projects. - Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders. Preferred Qualifications: - Experience with big data technologies. - Familiarity with cloud platforms such as AWS and Azure. - Knowledge of microservices architecture, containerization, and orchestration tools. - Understanding of enterprise architecture frameworks and methodologies. - Relevant certifications like TOGAF, AWS Certified Solutions Architect, or Microsoft Certified: Azure Solutions Architect Expert. Join Cisco's team where individual talents come together to create a more inclusive, digital future for everyone. We empower businesses and communities to thrive by tackling challenges, celebrating accomplishments, and growing as a team. Diversity, equality, and giving back are core values at Cisco, and we welcome individuals from all walks of life to join us in making a positive impact through technology and action. Be yourself, be part of #WeAreCisco.,

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

The ideal candidate must have a strong understanding of customer's business challenges and be able to define an appropriate analytics approach to design a solution. Excellent communication and project management skills are essential for effectively engaging with a diverse range of audiences, both technical and business-oriented. The candidate should have the ability to accurately interpret business requirements and translate technical outcomes into easily understandable business insights. Collaboration with an offshore team to deliver timely outcomes is a key aspect of the role. Experience in handling generative AI models is required, along with proficiency in Python (Pandas, NumPy, scikit-learn, etc.), high analytical skills, and expertise in creating and evaluating predictive models using Machine Learning Techniques. The candidate should be capable of developing models end-to-end and should have a good grasp of Natural Language Processing. Practical experience in Python for Data Science, including deployment experience, is mandatory, along with knowledge of processing large datasets. Familiarity with visualization tools such as Tableau or R Shiny is advantageous. Responsibilities include creating presentations and reports to communicate analysis findings to clients or stakeholders, confidently presenting business recommendations, and supporting the implementation of these recommendations within client organizations. The ideal candidate should drive customer engagement, demonstrate thought leadership, and deliver value-added services consistently. Qualified candidates should have a BTech/Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1-2 institutions, or a BE/B-Tech, MCA, or MBA degree. A background in the BFSI domain, with a preference for experience in Insurance, is beneficial for this role.,

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 R Shiny Full Stack Developer with 6 to 12 years of experience, you will be responsible for designing, developing, and maintaining the user interface (UI) of the MART application using R Shiny, JavaScript, and CSS to ensure a seamless and intuitive user experience. Additionally, you will develop and maintain efficient and scalable ETL pipelines using GCP Dataform and BigQuery for extracting, transforming, and loading data from various on-premise (Oracle) and cloud-based sources. This includes leveraging Big R query for accessing on-premise Oracle data. You will also be tasked with implementing data manipulation and transformation logic in R to create a longitudinal data format with unique member identifiers. Furthermore, you will develop comprehensive logging and monitoring using Splunk and collaborate with other developers, data scientists, and stakeholders to ensure the timely delivery of high-quality software. Your role will involve participating in all phases of the software development lifecycle, from requirements gathering and design to testing and deployment, as well as contributing to the maintenance and improvement of existing application functionality. You will work within a Git-based version control system and manage data in a dedicated GCP project while adhering to best practices for cloud security and scalability. Additionally, you will contribute to the creation of summary statistics for groups via the Population Assessment Tool (PAT). Required Skillsets: - Strong proficiency in R Shiny for UI development. - Strong proficiency in JavaScript, CSS, and HTML for front-end development. - Proven experience in designing, developing, and maintaining ETL pipelines, preferably using GCP Dataform and BigQuery. - Experience with data manipulation and transformation in R, including creating longitudinal datasets. - Experience working with on-premise databases (Oracle), preferably using Big R query for data access. - Experience with Git for version control. - Experience with Splunk for logging and monitoring. - Experience working with cloud platforms, specifically Google Cloud Platform (GCP). - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. Good to Have Skillsets: - Experience with Tableau for dashboarding and data visualization. - Experience with advanced data visualization techniques. - Experience working in an Agile development environment. If you are interested in this role, please share your updated resume to Femina.Periyanayagam@thryvedigital.com. Referrals are welcome.,

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

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

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

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

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

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

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