205 Statistical Programming Jobs nearby Mysore

Role Overview: At Lilly, we are looking for a highly skilled Data Scientist with 7-8 years of experience or an advanced degree (Masters/Ph.D.) in Statistics, Machine Learning, or Data Science. The ideal candidate should be passionate about solving complex business challenges in manufacturing and supply chain domains through advanced analytics. This role requires expertise in statistical modelling, machine learning, time-series analysis, and simulation techniques, along with the ability to manage large datasets and derive actionable insights. Proficiency in Python/R programming and familiarity with optimization techniques are essential. The candidate must be able to translate business problems into technical solutions, communicate effectively with stakeholders, and adapt to evolving business needs while simplifying technical concepts for non-technical audiences. Key Responsibilities: - Design and develop advanced analytics solutions using statistics, machine learning, data science, and optimization methods for solving various problems such as anomaly detection, time series forecasting, root cause analysis, and predictive maintenance. - Apply data visualization techniques for effective storytelling through data and share insights with business leaders. - Conduct exploratory data analysis and feature engineering on structured, semi-structured, and unstructured data. - Integrate and manage diverse datasets ensuring robustness for high-dimensional, imbalanced, and noisy data. - Develop scalable solutions for real-time inference, batch processing, and edge computing using modern deployment tools. - Lead end-to-end model lifecycle including development, deployment, monitoring, and performance optimization. - Stay updated with emerging AI/ML research and implement practical innovations. - Collaborate with cross-functional teams as a trusted advisor and ensure best practices in version control and CI/CD workflows. Qualification Required: - B.Tech./Masters/Ph.D. in statistics, Machine Learning, Data Science, or a related field. Additional Details: Lilly has pioneered the development of significant drugs and treatments over the years with a strong pipeline. The company's focus on using new-gen technologies helps redefine what is possible through technology in pharma. Lilly encourages a commitment to making a real difference in lives and provides a platform for the best talent to innovate and accelerate together. Employees at Lilly are dedicated to making a significant difference in the well-being of people worldwide.,

As an Applied Scientist at Aarki, you will have the opportunity to contribute to cutting-edge data science projects and innovative solutions within our programmatic demand-side platform (DSP) in the mobile advertising industry. Your role will involve collaborating with senior research scientists and team members to design and implement machine learning models and data pipelines. **Role Overview:** You will be responsible for: - Developing and deploying machine learning models to address challenges in programmatic advertising such as user response prediction, bid landscape forecasting, and fraud detection. - Performing exploratory data analysis and utilizing statistical techniques to extract insights that support decision-making processes. - Creating and maintaining data pipelines to facilitate the efficient processing and integration of large-scale data for model training and evaluation. - Working closely with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Contributing to the establishment of best practices for model deployment, monitoring, and performance evaluation. - Staying updated on the latest advancements in machine learning and data science to apply relevant techniques in problem-solving and platform enhancement. - Exploring and adopting new methodologies and technologies to enhance the data science capabilities of our platform. **Qualifications Required:** To be considered for this position, you should have: - A minimum of six years of experience in data science with practical exposure to machine learning, statistical analysis, and data modeling. - A Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. A Master's degree would be beneficial. - Proficiency in programming languages such as Rust, C++, Java, and Scala, along with experience in large-scale data processing systems. - Knowledge of real-time bidding (RTB), auction theory, and working in high-throughput low-latency environments is advantageous. - Strong skills in machine learning techniques like regression, classification, and clustering, with experience in Python and libraries like Scikit-Learn, TensorFlow, and PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and hands-on experience with TensorFlow, PyTorch, and Scikit-Learn libraries. - A solid grasp of probability, statistics, and data analysis. - The ability to collaborate effectively in a team setting, with excellent communication skills to convey complex concepts to various stakeholders. Join Aarki in Bengaluru, India, and be part of a collaborative environment that fosters creativity and growth, pushing the boundaries of AI and mobile advertising. We offer a competitive salary, comprehensive benefits, and abundant opportunities for career progression.,

As a Financial Crime Detection and Prevention Specialist at Standard Chartered, your role will involve strategic thinking and technical expertise in designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. Your responsibilities will include: - Designing, developing, and deploying models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions - Performing data exploration, feature engineering, and ensuring accuracy, efficiency, and scalability of models - Supporting analytical processes to enhance red flag monitoring and optimizing cases for investigation through AI/ML models - Improving processes associated with the Transaction Monitoring function across various products - Ensuring compliance with the Bank's governance processes, including Model Risk Policy Governance - Providing guidance on industry best practices and closing compliance gaps - Mentoring and conducting training programs for new joiners and team members - Collaborating with stakeholders for deploying changes to production and supporting control improvements You will also be responsible for: - Providing coaching to peers and new hires to ensure high engagement and performance - Promoting a culture of openness, trust, and risk awareness - Applying Group and FCC policies and processes to manage risks effectively - Collaborating with cross-functional teams effectively - Attending relevant business meetings and ensuring tracking and remediation of surveillance and investigations related regulatory findings - Displaying exemplary conduct and ensuring compliance with applicable laws and regulations - Working collaboratively with key stakeholders including Business teams, CFCC Advisory teams, and Audit teams Qualifications for this role include: - 10+ years of hands-on experience in Transaction Monitoring design and development, with a focus on financial crime threat risk mitigation - Strong background in deploying models within TM or compliance environment - Post Graduate degree in Management/Statistics/Mathematics or Graduate degree in Engineering - Certification from the ACAMS or equivalent - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices Standard Chartered is an international bank that values diversity and inclusion. You will have the opportunity to work in a purpose-driven environment where you can make a positive difference for clients, communities, and the bank. If you are looking for a rewarding career with a focus on growth and impact, Standard Chartered is the place for you.,

As a member of the data and analytics team at PwC, your primary focus will be on leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. Your role will involve utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. This will require skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Key Responsibilities: - Support data-driven initiatives that enable insights into M&A and other transaction-related activities. - Utilize skills in data manipulation, visualization, and statistical modeling to help clients solve complex business problems. - Contribute to client engagement and projects. - Understand business deals & M&A transaction consulting environments. - Manage stakeholder expectations and build relationships with clients. - Develop skills and knowledge in business consulting. - Enhance quality through technology-enabled experiences. - Participate in project tasks and research. Qualifications Required: To qualify for this role, you must have: - Bachelor's degree in a relevant field with hands-on experience in data analytics. - Analytics & problem-solving capabilities. - Proficiency with relational database models and writing SQL queries. - Experience with data visualization tools such as QlikView, Tableau, Power BI. - Basic understanding of key financial statements and accounting principles. - Ability to think critically about problems and apply analytics strategy. - Strong SQL skills, relational database knowledge, and Excel-based analysis. - Proficiency in Power BI, Tableau, or similar tools. - Hands-on experience with ETL processes and data integration. - Strong analytical thinking and stakeholder communication skills. Good-to-have skills: - Experience in Deals, M&A - Tech & Data. - Certifications in database programming (e.g., MS SQL Server, Oracle) and/or data visualization (e.g., Tableau, PowerBI). - Certifications within cloud technology platforms (e.g., AWS, Azure, GCP). - Certifications within predictive modeling and/or machine learning platforms (e.g., Python, SAS). Education Qualification: - B.E/B.Tech (CS/IT/EEE/EC) with a minimum of 60% and no backlogs. - An ideal candidate will have a combination of academic qualifications and practical experience in mergers and acquisitions, contractual due diligence, and data analysis.,

Role Overview: As an Analyst Fraud Risk at Visa, you will be a part of the VCA Risk Advisory Practice team, contributing to delivering Risk advisory services to clients across Credit Risk and Fraud Risk. Your role will involve collaborating with internal and external teams to understand business problems, ensuring timely delivery of projects, and developing Fraud Risk data-driven solutions. You will play a key role in optimizing Fraud Risk Managed Services and advisory engagements across Asia Pacific. Key Responsibilities: - Contribute to the delivery of Fraud Risk Managed Services and advisory engagements in Asia Pacific - Collaborate with clients to understand business problems and desired outcomes - Ensure end-to-end delivery of multiple projects within timelines, scope, and budget requirements - Maintain up-to-date project documentation and deliver high-quality results - Support the development of Fraud Risk data-driven solutions such as Fraud Risk Prediction/Scoring - Assist in maintaining consistency, standards, and quality control of Fraud Risk consulting methodologies - Participate in expanding and optimizing Fraud Risk Managed Service offerings Qualifications Required: Basic Qualifications: - 3 or more years of work experience with a Bachelor's Degree or an Advanced Degree Preferred Qualifications: - 4 or more years of work experience with a Bachelor's Degree or more than 3 years of work experience with an Advanced Degree - Specific skill set and experience required: - Graduate/Post Graduate degree in a Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred - Hands-on experience with data analytics/programming tools such as SAS/Hadoop/SQL/Python - Proficiency in statistical techniques like Linear and Logistic Regression, Decision Trees, Random Forests, etc. - Experience in the banking/consumer lending industry and domain expertise in Fraud Risk preferred - Demonstrated ability to innovate solutions and present data-driven results effectively - Strong analytical and problem-solving skills, with the ability to handle multiple projects concurrently - Excellent communication, presentation, and collaboration skills Company Information: The company has adopted a COVID-19 vaccination policy, requiring all employees based in the country of the job location to be fully vaccinated unless a reasonable accommodation is approved or as required by law.,

As a Senior Manager, Real World Data (RWD) Analytics at Teva Pharmaceuticals, you will play a crucial role in leading the execution of programming deliverables using various clinical data sources for real world evidence (RWE) studies. Your responsibilities will include: - Leading the development and execution of programming deliverables utilizing RWD sources such as claims, EHR, and registry data. - Collaborating with RWE statisticians and cross-functional study teams to align on analytical strategy and timelines, and translating statistical analysis plans and protocols into efficient and reproducible analytical programs. - Ensuring compliance with internal standards, best practices, and regulatory requirements. - Assisting the group head in recruiting and building a team of RWD analysts in India. - Establishing effective onboarding and training processes, documentation practices, and promoting a culture of continuous learning. - Staying updated on the latest big data analytical technology, focusing on advanced tools and methods, AI/ML, process improvement, and automation. Qualifications required for this role include: - A Masters degree or higher in Statistics, Biostatistics, Data Science, or a related quantitative field. - Minimum of 8 years of hands-on experience in programming and analytics within the pharmaceutical or healthcare research industry. - Demonstrated experience working with RWD sources like claims, EMRs, and/or registry data. - Previous experience in managing or mentoring technical teams would be advantageous. Join Teva Pharmaceuticals in our mission to make good health more affordable and accessible, impacting millions of lives worldwide. Apply now to be a part of our diverse and innovative team.,

As a Business Analytics Analyst at Citi, you will be a part of the Operations Analytics team that focuses on using data analysis to enhance efficiency, reduce costs, and improve customer experience. Your role involves gathering operational data, identifying data patterns and trends, providing insights for business decision-making, and recommending actions for future developments. You will also be involved in exploratory data analysis, translating data into consumer insights, and collaborating with internal and external partners to build and implement decision strategies. Key Responsibilities: - Gather operational data from various cross-functional stakeholders for examining past business performance - Identify data patterns and trends to enhance business decision-making capabilities - Recommend actions for future developments and strategic business opportunities - Translate data into consumer insights to drive targeting and segmentation strategies - Continuously improve processes and strategies by exploring new data sources and tools - Work closely with business partners to build, implement, track, and improve decision strategies - Assess risk when making business decisions to safeguard Citigroup's reputation and assets Qualifications Required: - Expertise in statistical analysis, data mining, process mapping, and process re-engineering - Proficiency in using data visualization tools such as Tableau and QlikView - Experience with automation tools like SAS and PySpark, and programming languages like Python and SQL - Strong understanding of business operations, financial metrics, and ability to communicate data insights effectively - Ability to analyze customer feedback, identify pain points, and develop solutions to improve customer experience - Knowledge of financial services operations, regulatory requirements, and industry best practices As a successful candidate, you will ideally have a Bachelor's/University degree or equivalent experience and 4-7 years of experience (4 years for Bachelor's or 2-5 years for Masters). Working at Citi offers you the opportunity to grow your career, contribute to your community, and make a real impact. Join a global family of dedicated individuals by applying for this role at Citi today.,

Role Overview: You will be working as a Senior Manager, Statistical Programming, providing comprehensive programming leadership for programming deliverables within a product/program. Your role will involve managing the timely and accurate execution of programming components of clinical trials to support the development, regulatory approval, and market acceptance of Teva Products. You will also lead and manage projects that involve global tasks, cross-functional teams, or outsourcing resources. Key Responsibilities: - Primarily work at the product/program level - Manage and deliver assignments with quality and within timelines, providing input for budget planning - Independently develop, validate, and maintain complex programs and utilities in accordance with predefined specifications and standards - Provide strong programming support to CDISC based e-submission - Review key planning documents to ensure alignment with project objectives, contribute to the development of data presentation plan (DPP), programming specifications, regulatory reviewers guide documents, and ensure clarity and completeness of programming requirements - Implement programming standards and comply with regulatory requirements among project team members and across all projects - Responsible for the standardization of GSD deliverables across study projects within an indication/therapeutic area - Contribute to the overall definition of programming rules and standardization across therapeutic areas and/or indication - Identify, support process and technology improvement initiatives, communicate proactively and effectively around issues and risks, and contribute to remediation strategies - Lead global projects with cross-functional involvement and demonstrate project management and leadership capabilities - Contribute to departmental policies, standards, and best practices Qualifications Required: - Bachelors Degree/Masters Degree in Science, Statistics, Information Technology, or equivalent combination of education and related work experience - Bachelors + 12 years, Masters + 10 years in a pharmaceutical or clinical research setting as a programmer - Expert level of programming skills and problem resolution in SAS or other Statistical programming software - Provide programming and documentation support for SAS (or other Statistical software) system development Additional Company Details: Teva is on a mission to make good health more affordable and accessible, helping millions around the world enjoy healthier lives. They are the world's leading manufacturer of generic medicines and producer of products on the World Health Organization's Essential Medicines List. Teva aims to continue making a difference and is always looking for new ways to impact positively. (Note: The Equal Employment Opportunity Commitment section has been omitted as it does not contain specific details relevant to the job description.),

Role Overview: As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex structured and unstructured data sets, including big data. Your focus will be on helping clients make better fact-based decisions by staying updated with the latest developments in Deep Learning and AI research, implementing advanced models in deep learning, and collaborating with cross-functional teams to develop and deploy machine learning models in production. Your role will also involve contributing to research projects aimed at advancing the field of AI and machine learning, developing advanced algorithms, and integrating engineering principles into data science workflows for optimized performance and scalability. Key Responsibilities: - Stay updated with the latest developments in Deep Learning and AI research - Implement and fine-tune advanced models in deep learning, with a focus on Transformers for sequential data - Apply knowledge of large language model fine-tuning and alignment approaches - Utilize active learning techniques to train models more efficiently - Collaborate with cross-functional teams to develop and deploy machine learning models - Contribute to research projects advancing the field of AI and machine learning - Develop advanced algorithms for solving problems in a computationally efficient manner - Collaborate with clients and ZS stakeholders to integrate and communicate analysis findings - Contribute to the evaluation of emerging datasets and technologies - Own the development of select assets/accelerators for efficient scaling of capability - Integrate engineering principles into data science workflows for optimized performance - Collaborate with the engineering team to implement and deploy data science solutions into production - Utilize software engineering best practices for version control, code review, testing, and documentation Qualifications Required: - Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute - 4-7 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions - Knowledge of programming languages like Java, Python, or R - Knowledge of big data/advanced analytics concepts and algorithms - Excellent oral and written communication skills - Strong attention to detail and research-focused mindset - Excellent critical thinking and problem-solving skills - High motivation, good work ethic, and maturity - Exposure to Generative AI and its usage to solve problems is a plus Additional Company Details: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company promotes a flexible and connected way of working, allowing a combination of work from home and on-site presence. ZS values inclusion and belonging, supporting diverse backgrounds, perspectives, and experiences within its team. Note: The job description did not contain any additional details about the company.,

Role Overview: As a Senior AI & Analytics Program Manager, you will be responsible for managing end-to-end client programs in a dynamic environment. Your role will involve a mix of hands-on technical contributions, team management, and client interactions. Key Responsibilities: - Lead and oversee AI & analytics programs for clients - Manage technical teams and ensure project delivery - Engage with clients to understand their requirements and provide solutions - Utilize scientific programming skills in Python, R, SQL, NoSQL, and Spark with ML tools & Cloud Technology (AWS, Azure, GCP) - Develop machine learning models using Python libraries such as numpy, pandas, sci-kit-learn, tensor-flow, scrapy, BERT, etc. - Apply expertise in machine learning, deep learning, data mining, and statistical concepts to develop innovative solutions - Collaborate with clients in domains like Supply Chain, Manufacturing, CPG, Marketing, etc., to address complex problem statements Qualifications Required: - M-Tech/PhD from a top-tier Institute, preferably in a quantitative subject - Minimum 18 years of hands-on experience in applied Machine Learning, AI, and analytics - Proficiency in ML algorithms for structured and unstructured data ecosystems - Experience in large-scale data processing and distributed computing - Ability to provide insights for sales and pre-sales activities - Self-motivated individual capable of working independently with minimal guidance - Excellent written and verbal communication skills (Additional details of the company were not provided in the job description),

As a GenAI Data Scientist at PwC US - Acceleration Center, your focus will be on leveraging data to drive insights and make informed business decisions through advanced analytics techniques. You will have the opportunity to optimize client operations and help them achieve strategic goals by utilizing your skills in data manipulation, visualization, and statistical modeling. **Key Responsibilities:** - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. **Qualifications Required:** - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. **Preferred Qualifications:** - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. **Nice To Have Skills:** - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. In your role as a GenAI Data Scientist at PwC, you will have the opportunity to apply your expertise in data science and GenAI technologies to drive impactful results for clients. Your advanced analytical skills and knowledge of machine learning will be instrumental in solving complex business problems and delivering innovative solutions.,

Role Overview: As a leading global contract research organization (CRO) with a passion for scientific rigor and decades of clinical development experience, you will be part of Fortrea, providing pharmaceutical, biotechnology, and medical device customers a wide range of clinical development, patient access, and technology solutions across more than 20 therapeutic areas. With operations in ~100 countries, Fortrea is transforming drug and device development for partners and patients across the globe. Key Responsibilities: - Develop and maintain R programs for generating CDISC SDTM and ADaM datasets and tables, listings, and figures in accordance with clinical trial data requirements - Ensure compliance with industry standards and regulatory requirements - Collaborate with cross-functional teams to understand and implement project-specific data needs - Provide technical expertise and support for data analysis and reporting tasks - Perform quality control and validation of outputs to ensure accuracy and consistency Qualifications Required: - Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Data Science) - Minimum of 3 years of experience in R programming including familiarity with R packages used in the analysis and reporting of data for clinical trials - Familiarity with data visualization techniques and tools in R - Experience with clinical trial data and familiarity with CDISC ADaM and SDTM standards - Strong analytical and problem-solving skills - Excellent communication and ability to work in a team environment In addition, Fortrea is actively seeking motivated problem-solvers and creative thinkers who share the passion for overcoming barriers in clinical trials. The company's unwavering commitment is to revolutionize the development process, ensuring the swift delivery of life-changing ideas and therapies to patients in need. Join the exceptional team at Fortrea and embrace a collaborative workspace where personal growth is nurtured, enabling you to make a meaningful global impact.,

As a member of the Market Risk team at Infosys Limited, your role will involve expanding the team's presence in India to support activities in data management, risk operations, product, and research. Your expertise in working with real-world data and conducting statistical analyses will be crucial for the team's success. We are seeking individuals who are motivated self-starters, team players, eager collaborators, continuous learners, and committed to going the extra mile for our internal and external clients. Key Responsibilities: - Possess at least 3-8 years of experience in market risk measurement within an investment bank or financial institution, with previous exposure to VaR or Credit Risk. - Demonstrate knowledge in Asset Classes, specializing in any 1-2 of the following: Equity, Fixed Income, FX, Commodities, Derivatives, Structured Products. - Exhibit experience and knowledge in Fixed Income and Derivatives, particularly in Corporate Bonds, Interest Rate derivatives, Total Return Swaps (TRS), Credit Derivatives, CVA, FVA, etc. - Showcase a basic understanding of pricing and valuation of financial products. - Understand key risk and profitability concepts including Probability of Default, Event of Default, Jump to Default, Present Value of basis point, Mark to Market, volatility, Yield curve parallel and point shifts, etc. - Demonstrate the ability to analyze the price of a security into its various constituent components such as interest rate curves and relevant term structure sensitivity. - Possess a higher degree in finance or related fields, or a professional qualification like CFA, FRM, PRIMA would be advantageous. - Have a general knowledge of risk issues, investment products, and some programming skills. - Ability to work effectively in a team, build strong relationships, and deliver high-quality, accurate work under pressure and tight deadlines. - Willingness to challenge the status quo, question assumptions, and provide alternative approaches. Preferred Skills: - Domain expertise in Financial Risk Management, specifically in Credit Risk Management and Market Risk Measurement & Control.,

Role Overview: You will be part of the Real World Evidence (RWE) generation team at MC Analytics, playing a crucial role in bridging clinical effectiveness with commercial viability for brands. The company emphasizes the importance of considering commercialization early in the drug development process and is dedicated to collaborating with you to design, develop, and deliver fully integrated RWE for the peri-approval setting. Your work will focus on collecting the right data to ensure successful drug launches. Key Responsibilities: - Provide the supportive data required for regulators to approve and license products - Supply the necessary evidence to physicians to confidently prescribe drugs Coding Skills: - Proficient in advanced/expert R programming, particularly in dplyr and tidyverse packages - Skilled in handling messy data, managing missing values, and conducting pre-processing on structured datasets - Experience with version control systems such as GitHub and GitLab - Advanced SQL skills for writing efficient and scalable queries - Strong ability to write modular, reusable code with a focus on functions and best practices Qualification Required: - B.Sc/M.Sc in Statistics/Data Science with 1-2 years of experience in Real-world data or Oncology - Capability to implement/code statistical methods for descriptive statistics, KM curves, visualization plots, etc. - High sense of ownership for deliverables, ensuring timeliness and high quality - Ability to work independently, ask questions when needed, and take directions in a team environment - Willingness to collaborate in a cross-functional and highly collaborative culture For more information about MC Analytics, you can visit their website at [MC Analytics](https://mcanalytics.co.in/),

Role Overview: You will be the Senior/Analyst responsible for original thinking in research and analytics, solving ambiguous business problems, and deriving actionable insights from data. Key Responsibilities: - Extract data from various sources and develop an analytical data mart - Generate ideas for solving business problems using data and statistics - Apply suitable techniques and validate statistical findings - Provide business-oriented solutions rather than just statistical outputs - Produce insights based on analytics findings and present them in a customer-ready format Qualification Required: - Ideal candidate should hold a BTech MBA with a strong quantitative background or an M.Sc in Statistics/Operations Research/Mathematics from a reputable institute - Passion for analysis and addressing challenging questions with data - Ability to identify questions and utilize appropriate statistical techniques on available data - Proficiency in advanced analytics with 2-4 years of hands-on experience in data cleaning, auditing, descriptive analysis, and statistical modeling - Proficiency in at least one statistical programming language (SAS, R, etc.), one data visualization tool (Tableau, Cognos, etc.), and one RDBMS tool (Teradata, SQL Server) at intermediate to expert levels - Experience working with large datasets; familiarity with distributed computing tools like Map/Reduce, Hadoop, Hive is a plus - Effective communication of findings to managers and clients - Strong MS Excel programming skills and adept at creating Powerpoint presentations - Experience in the healthcare/Pharma or Retail/CPG domain is preferred.,

Hiring for Clinical Statistical Programmer Role !!! Apply now, if interested do share your resume prachiwfm187@gmail.com 8287816038 WE ARE HIRING FOR INDIA'S 2ND LARGEST KPO !!! Experience - 5+ Years Experience in Clinical SAS Programming (Inc. ADAM, TLF,CDISC Standards, Mapping & Conversion of Clinical Trial Data, Therapeutic Areas experience is must) Job location- Mumbai/Pune/Bangalore Note- You can forward this post to your friends and colleagues who wish to apply.  Thanks & Regards  Prachi Rawat  8287816038

Were Hiring  for Statistical Programmer (Healthcare Domain) ! Exciting Opportunity Awaits! Location: Mumbai , Chennai , Pune , Bangalore  Salary: Up to 22 LPA Shift: General Shifts Working Days: 5 Days WFO | 2 Rotational Offs Eligibility:Minimum 5 years of experience in Statistical Programming(R,SDTM,ADAM,SDLC) within the Healthcare domain Share your CVs: hrwfm.consultancy42@gmail.com Contact: Shruti 9911988551 References are highly appreciated!

As a Statistical Programming Intern, your role involves providing robust statistical programming support for multiple clinical projects using SAS to deliver key regulatory-compliant outputs. You will be responsible for developing programming documentation, writing efficient code, and staying updated on statistical programming techniques. Your duties also include providing study updates to the study lead while performing your assigned tasks. - Provide statistical programming support for multiple clinical research study projects or study teams under the oversight of the lead programmer. - Support key deliverables based on regulatory requirements for clinical research e-submissions and/or study requirements for Sponsor, Regulatory, Investigator, or Safety review meetings. - Assist in the development of programming documentation and annotations, including specifications, adhering to relevant Standard Operating Procedures. - Ensure accurate, effective, and timely communication of issues and status to the study lead of the team. - Execute assigned tasks with high quality and integrity. - Work effectively and collaboratively with cross-functional teams. Qualifications Required: - Bachelor's or master's degree in science with 0-6 months of Statistical programming experience in CDISC/TLF. - Familiarity with SAS (mandatory) and R (Optional). - Ability to prioritize, problem-solve, organize, and make decisions. - Good communication skills. - Attention to detail. - Excellent analytical and problem-solving skills. If there are any additional details about the company in the job description, please provide that information.,

You are seeking a highly skilled Statistical Programmer to join a dynamic team driving innovation and data-driven decision-making across pharmaceutical sciences. This role offers the opportunity to collaborate with top industry professionals and contribute to impactful projects in drug development, manufacturing, and regulatory submissions. Key Responsibilities: - Provide statistical expertise across drug substance, drug product, analytical method development, and regulatory activities for both small and large molecule entities. - Collaborate closely with statisticians and scientific teams to support experimental design and data analysis. - Independently develop and deploy statistical/computational applets using Python and R. - Clearly communicate statistical concepts in the context of experimental goals to cross-functional stakeholders. - Manage multiple projects and stakeholders concurrently with agility and precision. Qualifications Required: - Minimum 6+ years of industry experience in statistical programming or related roles. - PhD in Statistics or a related field, preferably with experience in a laboratory science environment. - Strong foundation in statistical methods, including descriptive/inferential statistics, general linear and mixed models, and design of experiments. - Proficiency in programming languages such as R, Python, SQL, HTML, and familiarity with commercial statistical packages. - Experience working in Linux, cloud computing, and high-performance computing environments. - Excellent communication skills and ability to build effective working relationships. - Self-driven with a strong ability to learn new skills quickly. If you are exploring new opportunities and have the relevant experience, you can share your resume with bharti.shivhare@brihatisglobal.com / +91 96639 20022.,

As an experienced IT professional with over 3 years of experience, you should have the ability to quickly understand data and possess a strong knowledge of ML algorithms including Supervised, Unsupervised, and Deep Learning. It is essential that you have practical experience working with any structured database such as MS SQL, Oracle, etc. Additionally, familiarity with Gen Ai and other Ai tools is required. Your proficiency in Python programming language, Fast API, and backend design is crucial for this role. Moreover, you should be well-versed in Docker, Docker Compose, and version control systems like GitHub or GitLab. Your responsibilities in this role will include: - Working with stakeholders to identify opportunities for leveraging data to drive business solutions. - Mining and analyzing data from databases to drive optimization. - Assessing the effectiveness and accuracy of new data sources and data gathering techniques. - Developing custom data models and algorithms to apply to data sets. - Coordinating with different functional teams to implement models and monitor outcomes. - Developing processes and tools to monitor and analyze model performance and data accuracy. Qualifications required for this position: - Hold a bachelor's degree in Information Technology, Computer Science, Maths and Statistics, or BCA. - Experience working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and techniques.,