80 Statistical Programming Jobs in Hyderabad

Role Overview: You will work within the professional services team to implement products for clients on the cloud. Working with a Project Manager, you will complete project tasks in the areas of implementation, SQL Reporting, and quality assurance. Shift timing may require support for night shifts. Key Responsibilities: - Implementation: - Gather customers" requirements and configure products to meet client needs. - Understand, document, and execute project plans, managing document repository for customers. - Assist in documenting project and client-related activities. - Participate in client support activities for complex investigative support issues. - Quality Assurance: - Perform quality assurance before delivering to clients. - Develop bespoke test plans to ensure software configuration and data accuracy for specific client use cases. - Participate in defect finding, logging defects, defect verification, and preparing QA test plans. - SQL & Reporting: - Collaborate with clients and internal teams to define reporting needs. - Utilize SQL queries, pivot tables, statistical formulas, and functions to create standard and custom reports. Qualifications Required: - 2-year experience with an IT/Software SaaS company in an implementation, Reporting/QA role. - Working knowledge of SaaS and SQL. - Balance of functional (business) and technical experience. - Ability to analyze problems, document business processes, and provide solutions. - Effective communication skills with technical development and client teams. - Superior written and verbal communication skills. - Client and service orientation with a passion for service excellence. - Excellent organization, time management, and multitasking abilities. - Proficiency in MS Office Suite and SQL.,

Role Overview: You will be part of a team working on building next-generation data analytics dashboards to facilitate effective decision-making for Talent advisors and Talent Advisory Management. Your contribution will be crucial in creating a data-led culture that emphasizes effective decision-making and transforms the Talent acquisition organization's operations. By leveraging visualization tools, Artificial Intelligence, and Machine Learning technologies, you will play a key role in fusing amazing visualization and user experience to drive innovation. Key Responsibilities: - Create interactive dashboards on BI and OAC platforms with powerful and user-focused visualizations. - Review, process, and validate data integrity for analysis purposes. - Collaborate with stakeholders in the Talent acquisition organization to understand business requirements and objectives. - Utilize scientific methods, processes, and systems to extract insights from structured and unstructured data in candidate/employee databases. - Make strategic recommendations to the leadership team based on data analysis and models, effectively communicating insights through data visualization. - Develop a comprehensive framework for Predictive modeling techniques and present data insights using visualization tools. Qualification Required: - Analytical and statistical skills. - Proficiency in Business Intelligence tools such as Oracle BI, Oracle Analytics Cloud, Microsoft Power BI, etc. - Familiarity with programming languages like SQL, Python, etc. - Data modeling expertise. - Strong Business Acumen and communication skills. - Demonstrated Data Intuition. - Experience with client and customer engagement. - Knowledge of Machine Learning and AI (preferred). Additional Company Details: Oracle, a world leader in cloud solutions, utilizes cutting-edge technology to address current challenges across various industries. With a legacy of over 40 years, Oracle operates with integrity and collaborates with industry leaders to drive innovation. The company values an inclusive workforce that fosters opportunities for all employees and prioritizes work-life balance. Oracle offers competitive benefits, including flexible medical, life insurance, and retirement options, while also encouraging community engagement through volunteer programs. The company is dedicated to inclusivity and supports individuals with disabilities throughout the employment process, offering accessibility assistance upon request.,

Role Overview: You will be joining as a Senior Data Scientist at Ray Business Technologies in Hyderabad. Your role will involve utilizing your expertise in Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving to deliver tailor-made solutions in areas like AI, ERP, CRM, Cloud, and BI services. With a focus on quality and excellence, you will be part of a skilled team of experts dedicated to helping organizations achieve growth and operational efficiency. Key Responsibilities: - Sound knowledge of Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving. - Ability to build from scratch in R & D. - Hands-on experience with components like DL, Transform model, LLM, NLP, Computer Vision, etc. - Implementation of Deep Learning techniques and Natural Language Processing (NLP) techniques. - Proficiency in OCR technology and inclination towards Mathematics/Statistics. - Familiarity with MS Excel skills, Reporting, object-oriented programming, and Python or R. - Good knowledge of Cloud Technology, specifically on the Azure cloud platform. Qualifications Required: - 4-8 years of experience in a data science or analytics role, with a proven track record of leveraging analytics for business impact. - Excellent communication skills to translate complex findings into actionable insights for non-technical stakeholders. - Strong knowledge of machine learning techniques and experience applying them to real-world problems. - Strong analytical and problem-solving skills with attention to detail. - Experience with cloud platforms like Azure and big data technologies such as Hadoop and Spark is a plus.,

In the role of Senior Manager, Data Analytics at Novartis, you will be responsible for managing and analyzing large volumes of data to extract valuable insights. Your exceptional analytical skills will be utilized to manipulate and interpret complex datasets using various technologies, including programming languages. You will also play a crucial role in fostering strong relationships with global stakeholders and effectively communicating business analyst needs to data engineers or software engineers. Key Responsibilities: - Utilize statistical techniques and data mining methods to analyze large datasets, identify trends, patterns, and correlations to uncover valuable insights - Thoroughly clean, validate, and organize data to ensure accuracy and consistency, resolving data quality issues to maintain data integrity - Present findings through clear and concise data visualizations, enabling easy understanding and interpretation - Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders and support decision-making processes - Collaborate closely with cross-functional teams to understand requirements and provide data-driven solutions, fostering effective teamwork and communication - Generate insights from data and communicate them to key stakeholders, both technical and non-technical - Develop and maintain documentation related to data analysis processes and procedures for knowledge sharing - Stay updated with the latest trends and techniques in data analytics, continuously exploring and implementing new tools and technologies Qualifications Required: - Strong analytical skills with the ability to manipulate and interpret large datasets, knowledge of statistical techniques and data mining algorithms - Proficiency in programming languages, such as Python, and strong SQL skills with an aptitude for learning other analytics tools - Experience with BI tools like PowerBI or Qlik, ETL tools like Dataiku/Alteryx, and effective communication skills for presenting findings to stakeholders Desirable Qualifications: - 5+ years of extensive experience in Data and/or Business Analytics, with a background in Financial Data Analytics being an added advantage - Bachelors or Masters degree in a relevant field such as mathematics, statistics, economics, or computer science - Strong written and verbal communication skills About Novartis: Novartis is dedicated to helping people with diseases and their families through innovative science and a community of smart, passionate individuals. By collaborating, supporting, and inspiring each other, we aim to achieve breakthroughs that change patients" lives. If you are ready to create a brighter future together, join us at Novartis. [Note: Additional details about the company have been omitted from this job description] If you are interested in this role or want to explore other career opportunities at Novartis, you can join our talent community to stay connected and learn about suitable roles as soon as they become available. Novartis is committed to providing reasonable accommodations to individuals with disabilities. If you require such accommodations during the recruitment process, please reach out to [email protected] with your request and contact information. Novartis is dedicated to building an outstanding, inclusive work environment with diverse teams that represent the patients and communities we serve.,

As a Data Scientist at our company, your role will involve the following key responsibilities: - Business & Strategy Alignment - Proactively engage with business stakeholders, product managers, and domain experts to deeply understand key organizational challenges and strategic goals. - Formulate and scope data science initiatives, defining clear objectives, success metrics, and a technical roadmap that directly addresses identified business requirements. - End-to-End Model Development & Deployment - Design, prototype, build, and validate machine learning and statistical models from scratch, without reliance on pre-packaged solutions. - Implement and manage MLOps pipelines within Azure Machine Learning to ensure reproducible model training, versioning, testing, and continuous deployment into live operational environments. - Collaborate with DevOps and engineering teams to ensure algorithms run efficiently and scale reliably within the cloud environment. - Data Engineering & Feature Management - Execute complex data ingestion, exploration, and feature engineering tasks, applying rigorous statistical methods and domain knowledge to raw and disparate datasets. - Ensure data integrity throughout the modeling lifecycle, performing extensive Exploratory Data Analysis (EDA) and cleaning to prepare high-quality inputs. - Advanced AI & Innovation (Preferred/Plus) - Explore, experiment with, and deploy large language models (LLMs) and other Gen AI techniques to create new products or optimize existing processes. - Investigate and prototype intelligent software agents capable of autonomous decision-making, planning, and tool use, moving beyond simple predictive models. - Code Quality & Collaboration - Write clean, well-documented, and efficient Python code, adhering to software engineering best practices, including unit testing and code reviews. - Mentor junior team members and contribute to the growth of the team's overall ML/AI knowledge base. Required Qualifications: - Education: Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field. - Programming Mastery: 5+ years of professional experience leveraging Python for data science, including deep expertise in the PyData stack (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Cloud ML Platforms: Proven, hands-on experience building and managing ML models and MLOps workflows specifically using Azure Machine Learning services. - Statistical Rigor: Strong background in statistical modeling, experimental design (A/B testing), and model validation techniques. - Data Skills: Expert proficiency in SQL and experience working with large-scale, high-velocity data, including ETL/ELT processes and data visualization. Preferred Qualifications (A Significant Plus): - Generative AI Experience: Practical experience fine-tuning, RAG-ifying, or deploying modern Large Language Models (LLMs). - Agent Development: Knowledge of agentic frameworks and experience designing multi-step, tool-using autonomous AI workflows. - Experience with other cloud platforms (AWS Sagemaker, GCP Vertex AI) is beneficial. - Demonstrated ability to write production-level, highly optimized code for critical systems.,

As a candidate for the role, you will be responsible for the following key aspects: **Role Overview:** You will play a crucial role in the implementation and quality assurance processes for clients. Your responsibilities will include gathering customer requirements, configuring products, executing project plans, managing documentation, performing quality assurance, developing test plans, and collaborating with clients and internal teams to meet reporting needs. **Key Responsibilities:** - **Implementation:** - Gather customers requirements and configure products to meet client needs. - Understand and execute project plans, as well as manage document repository for customers. - Assist in documentation of the project and client-related activities. - Participate in client support activities for more complex issues. - Utilize mathematical/statistical skills and programming knowledge to write and understand pseudo-code. - **Quality Assurance:** - Perform quality assurance prior to delivery to clients during the implementation process. - Develop test plans to ensure software configuration and data accuracy for clients" specific use cases. - Participate in defect finding, logging defects, defect verification, and preparing Implementation/QA test plans. - Work with clients and internal teams to define reporting needs, utilize SQL Query Tool experience, and create standard and custom reports. **Qualifications Required:** - A four-year Bachelors degree from a college or university (Computer Science degree preferred). - 0-1 year experience in an IT/Software SaaS company in an implementation, Reporting/QA role, with working knowledge of SaaS and SQL. - Strong analytical and problem-solving skills, with the ability to communicate effectively with technical and client teams. - Superior written and verbal communication skills, client service orientation, and passion for service excellence. - Excellent organization, time management skills, proficiency in MS Office Suite, and SQL. In addition to the challenging and rewarding work environment, the company offers: - Health & Wellness benefits - Paid time off - Opportunities for continuous learning - A fun and engaging workplace culture - Various perks and benefits - Support for work-life balance and family care.,

As a Data Scientist at Novartis, you will have the opportunity to understand complex and critical business problems from various stakeholders and business functions. You will formulate an integrated analytical approach to mine data sources, employ statistical methods, and utilize machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. Your role will involve managing the definition, implementation, and adherence to the overall data lifecycle of enterprise data, ensuring the availability of useful, clean, and accurate data throughout its useful lifecycle. Additionally, you will need to have high agility to work across various business domains. **Key Responsibilities:** - Innovate by transforming the way problems are solved using effective data management, Data Science, and Artificial Intelligence. - Articulate solutions/recommendations to business users. - Provide pathways to manage data effectively for analytical uses. - Present analytical content concisely and effectively to non-technical audiences and influence non-analytical business leaders to drive major strategic decisions based on analytical inputs. - Collaborate with internal stakeholders, external partners, institutions, and cross-functional teams to solve critical business problems and propose operational efficiencies and innovative approaches. - Evaluate the need for technology and novel scientific software, visualization tools, and new computation approaches to increase efficiency and quality of Novartis data sciences practices. - Identify research articles, reproduce/apply methodology to Novartis business problems, and contribute to cross-industry work streams in external relevant working groups. - Ensure exemplary communication with all stakeholders, including senior business leaders. - Contribute to the development of Novartis data management and data science capabilities. **Qualifications Required:** - Work Experience: 10+ years of relevant experience in Data Science. - Skills: Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (ML), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis. If managing a team, you will be expected to empower the team, provide guidance and coaching with limited guidance from more senior managers. Additionally, you will be responsible for the reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt. **Why Novartis:** Novartis is committed to reimagine medicine to improve and extend people's lives, striving to become the most valued and trusted medicines company in the world. By joining Novartis, you will be part of a mission-driven organization where associates are the driving force behind reaching ambitious goals. For more information on benefits and rewards at Novartis, please refer to the Novartis Life Handbook: [Novartis Life Handbook](https://www.novartis.com/careers/benefits-rewards) **Diversity and Inclusion:** Novartis is dedicated to building an outstanding, inclusive work environment with diverse teams that are representative of the patients and communities they serve. **Accessibility and Accommodation:** Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If you require accommodation during the recruitment process, please contact [email protected] with details of your request and the job requisition number. Join the Novartis Network to stay connected and learn about suitable career opportunities: [Novartis Network](https://talentnetwork.novartis.com/network),

Role Overview: As a Data Scientist, RWD at Novartis, you will have the opportunity to work on advanced data science initiatives leveraging the global data42 platform. This platform houses high-quality, multimodal preclinical, clinical, and external real-world data (RWD), including genetic, omics, and imaging data. Your role will involve driving the discovery and development of life-changing medicines by integrating AI/ML approaches across biomedical research and drug development. If you are enthusiastic about unlocking health insights from diverse real-world data, this role is perfect for you. Key Responsibilities: - Champion advanced analytics and AI/ML applications to mine RWD for novel clinical and translational insights, including genetic and imaging modalities. - Collaborate with researchers to address complex scientific questions such as biomarker discovery, digital phenotype identification, and accelerating scientific insights. - Work on methodology advancement and strategic projects across disease areas by integrating multimodal data for maximum impact. - Execute AI/ML projects focused on mining RWD, including genomic and imaging modalities, for exploratory and hypothesis-driven analysis. - Co-create analytic solutions with stakeholders in R&D, Biomedical Research, and external partners. - Drive capability development for integrating new RWD with genetic modalities and imaging analytics within real-world evidence projects. - Support feasibility, design, and conduct of scientific evidence generation studies using RWD for patient outcomes and Novartis R&D vision. - Represent Novartis/data42 in internal and external forums to share innovations and insights. Qualifications Required: - PhD, MD, or equivalent advanced degree in a quantitative field such as computer science, genetics, statistics, biomedical engineering, or epidemiology. - 5+ years of experience in quantitative/data science roles within life sciences, with deep expertise in AI/ML applied to RWD, genomics/omics, and medical imaging. - Strong programming skills in Python, R (optional), SQL, Spark, and analytics platforms. - Deep understanding of evidence generation methodologies, advanced analytics, and pharmaceutical product development lifecycle. - Proven expertise in integrating and analyzing multi-modal RWD for medical evidence generation. Company Details: Novartis is committed to building an outstanding, inclusive work environment and diverse teams that are representative of the patients and communities served. If you are passionate about using data science to make a meaningful impact in healthcare, Novartis is the place for you. (Note: Company-specific details were not included in the provided job description.),

You are the highly motivated and strategic Senior Lead, Marketing Analytics & Strategy at Slack. Your main responsibility is to lead the global monitoring and analytical strategy for the central Marketing function. You will define the analytical roadmap, drive data-driven decision-making, and translate complex global marketing performance metrics into clear, actionable insights for worldwide and executive leadership. As the Team Lead, you will mentor a group of highly skilled Data Analysts, focusing on project prioritization, mentorship, and establishing best analytical practices for the team. Your exceptional communication and executive presentation skills will make you the primary analytical voice for global Marketing Performance. **Key Responsibilities:** - **Global Strategy & Analytics Mastery** - Define and execute the central/global Marketing Analytics strategy aligned with worldwide business objectives and measurable ROI goals. - Own the comprehensive analysis and reporting of end-to-end global marketing performance, identifying trends, anomalies, and optimization opportunities. - Lead the design and implementation of sophisticated analytical models including global marketing mix modeling, multi-touch attribution, and predictive modeling. - Proactively identify high-impact growth opportunities and risks guiding global resource allocation decisions. - **Team Leadership & Mentorship (Player-Coach)** - Act as the technical and strategic lead for the regional team of Data Analysts, overseeing project prioritization and quality control. - Mentor analysts in data storytelling, complex problem-solving, and advanced statistical techniques. - Establish reporting standards, data definitions, and documentation for the global team ensuring consistency and accuracy across all performance analyses. - **Executive Communication & Stakeholder Management** - Own the narrative and present key performance indicators, campaign results, and strategic recommendations to Executive Leadership in a clear, concise, and persuasive manner. - Develop and deliver polished, executive-level presentations that distill complex global data into easy-to-digest business actions. - Serve as the primary analytical partner for central Marketing, Finance, and Sales leaders ensuring alignment on performance definitions, goals, and strategic priorities. **Candidate Requirements and Competencies:** - **Experience & Technical Skills:** - 7+ years of experience in Marketing Analytics, Business Intelligence, or a highly quantitative field. - Expert-level proficiency in SQL and experience with Data Visualization tools (e.g., Tableau, Power BI, Looker). - Proven experience building and implementing Marketing Attribution Models and Lifetime Value calculations at an international scale. - Familiarity with cloud data warehousing solutions and statistical programming languages like Python or R. - **Communication & Leadership:** - Impeccable written and verbal communication skills for constructing compelling data narratives. - Strong ability to translate ambiguous global business problems into structured analytical plans. - Demonstrated ability to lead an analytical team in a "player-coach" capacity. *Note: Additional details of the company were not provided in the job description.*,

As a Data Scientist for Compliance & Internal Audit Support in Hyderabad, India, you will play a crucial role in leveraging advanced analytics and emerging technologies to strengthen compliance and audit capabilities. Your responsibilities will include: - Applying advanced analytics, statistical modeling, and machine learning techniques to generate actionable insights supporting compliance monitoring, auditing, and risk assessment. - Developing scalable and automated data products and pipelines to enhance audit and compliance processes, while staying updated on new advancements in AI technologies. - Accessing and analyzing data from various enterprise systems to identify patterns, trends, and anomalies in transactions. - Collaborating with cross-functional teams to design and deliver innovative analytics solutions across different departments. - Presenting complex analyses and insights in a clear manner to senior stakeholders and diverse audiences. - Supporting priority projects and providing ad hoc analytics as required. Qualifications required for this role include: - Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or related field with at least 4-6 years of relevant experience, OR Master's degree with 4+ years of experience, OR Ph.D. in a relevant field with 2+ years of experience. Preferred qualifications for this position are: - Proficiency in Python, SQL, and familiarity with statistical programming and machine learning frameworks. - Experience with data platforms like Alteryx, Tableau, Databricks, SAS, or cloud-based solutions, with preference for AWS. - Ability to work with structured and unstructured data, including text and natural language processing. - Hands-on experience in data visualization and dashboard creation for non-technical audiences. - Familiarity with AuditBoard or similar governance, risk, and compliance tools is advantageous. - Strong communication skills and ability to thrive in a team-oriented, cross-functional environment. - Innovative mindset with a passion for leveraging emerging AI technologies in compliance and audit contexts. - Detail-oriented, proactive, and adept at managing multiple projects in a dynamic environment. Join our team and contribute to driving ethical, compliant, and efficient business operations through data-driven insights and innovative solutions.,

As a Clinical SAS Programmer in our team within a clinical research environment, your role will involve developing and validating SAS programs to support clinical research and analysis in clinical trials. You will utilize your statistical analysis skills to generate datasets, tables, listings, and figures for clinical study reports. Your expertise in SAS programming, especially in advanced features and SAS Macro language, will be essential to ensure that SAS programs and outputs meet regulatory and client requirements. Communication skills are crucial as you collaborate closely with clinical research teams to provide programming support, including data validation and reporting. Additionally, documenting and organizing all programming work will be necessary for reproducibility. Key Responsibilities: - Develop, test, and validate SAS programs for clinical research and analysis in clinical trials. - Generate datasets, tables, listings, and figures for clinical study reports using statistical analysis skills. - Ensure SAS programs and outputs meet regulatory and client requirements. - Utilize SAS Macro language and advanced programming techniques to enhance coding efficiency and data analysis. - Provide programming support to clinical research teams, including data validation and reporting. - Document and maintain all programming work in a clear and organized manner. - Identify and resolve any programming issues or discrepancies in datasets and analysis outputs. - Stay informed about regulatory guidelines and standards like FDA, EMEA, and ICH GCP in clinical trials. Qualifications Required: - Proven experience as a Clinical SAS Programmer, preferably in a pharmaceutical or clinical research organization. - Strong background in developing and validating SAS programs for clinical research. - Good understanding of statistical analysis and its application in clinical trials. - Proficiency in SAS Macro language and other advanced SAS programming techniques. - Strong attention to detail and problem-solving abilities. - Excellent written and verbal communication skills to collaborate with teams and present results. - Ability to work independently and manage multiple tasks effectively. You should hold a Bachelor's or Master's degree in Computer Science, Statistics, Life Sciences, or a related field to be considered for this role.,

Role Overview: You are an experienced Lead Statistical Programmer responsible for overseeing programming activities for clinical trials, regulatory submissions, and integrated analyses. Your role involves leading a team, ensuring high-quality deliverables, and developing efficient programming standards to support drug development. Key Responsibilities: - Lead statistical programming activities for a compound or therapeutic area. - Manage, mentor, and guide a team of statistical programmers. - Create and validate analysis data sets (ADaM), tables, listings, and figures (TFLs) following CDISC standards. - Develop and validate Integrated Summary of Safety (ISS) and Integrated Summary of Efficacy (ISE) reports. - Ensure accuracy and consistency across clinical studies and integrated data. - Develop, test, and implement reusable standard programs and SAS macros to automate routine tasks. - Prepare reviewer guides, data definition documents, and other materials for regulatory filings. - Collaborate with cross-functional teams including Statisticians, Clinical Data Management, Medical Writing, Regulatory, and Clinical Operations. - Accurately estimate programming efforts and ensure timely project delivery. Qualifications Required: - Strong proficiency in SAS programming; experience with R preferred. - In-depth knowledge of CDISC standards (ADaM, SDTM). - Experience with regulatory submissions (FDA, EMA) and clinical study lifecycle. - Knowledge of therapeutic areas such as Oncology, Immunology, Neuroscience. - Strong communication and leadership skills to guide teams and manage stakeholders. - Ability to handle multiple priorities and deliver high-quality results under deadlines.,

Role Overview: As a Placements Officer, your role will involve finding placement requirements from the market/industry, visiting companies to understand placement needs, conducting Admission Selection interviews, providing Work Place Readiness modules, offering personal counseling to students, handling documentation tasks, accompanying students during interviews, and maintaining placement records for both employers and students. Key Responsibilities: - Identify placement requirements from the market/industry - Visit companies to gather placement needs - Conduct Admission Selection interviews - Deliver Work Place Readiness modules - Provide personal counseling to students - Handle documentation tasks - Accompany students during interviews - Maintain placement records for employers and students Qualification Required: - Graduate or Post Graduate degree - MBA (HR) would be an advantage Additional Company Details: No additional details provided in the job description.,

You will be responsible for providing advanced expert support and functional leadership to ensure scientific integrity and validity for clinical development, early development, and/or research projects. Your role will involve developing and applying biostatistics and programming methods to ensure valid conclusions. Additionally, you will provide statistical support for regulatory submissions, including planning, analysis, and reporting of clinical safety and efficacy summaries. You may also provide statistical support in research or other R&D areas. Independently, you will lead special projects focusing on innovative tools and systems, supporting the Director of Clinical Data Standards. **Key Responsibilities:** - Responsible for all statistical tasks on assigned clinical or non-clinical trials, including protocol development, statistical analysis plan development, and reporting activities. - Contribute to planning and execution of exploratory analyses, innovative analyses for publications, pricing & reimbursement submissions, PK/PD analyses, exploratory biomarker and diagnostic analyses, and statistical consultation. - Provide statistical expertise for submission activities and documents, meetings with Health Authorities, pricing agencies, and other drug development activities. - Lead interactions with external review boards/ethics committees, external consultants, and other external parties. - Collaborate with cross-functional teams, explain statistical concepts to non-statisticians, and ensure effective communication within the clinical trial team. - Provide strategic statistical input into projects, collaborate with other functions to drive quantitative decision-making, and ensure timeliness and quality of statistical deliverables. **Qualification Required:** - MS in Statistics or equivalent with 10+ years of relevant work experience, or PhD in Statistics or equivalent with 6+ years of relevant work experience. - Fluent in English (oral and written) with strong interpersonal and communication skills. - Proven expertise in statistics, pharmacokinetics, exposure-response modeling, and statistical software packages such as SAS and R. - Strong understanding of drug development, Health Authority guidelines, and regulatory activities. - Demonstrated leadership skills in building partnerships, mentoring associates, and facilitating quantitative team contributions.,

Role Overview: You will be a Senior ATE Test Engineer responsible for developing, debugging, and optimizing ATE test programs for Advantest testers. Your role will involve supporting RMA analysis, maintaining test methodologies, managing ATE testers, collaborating with cross-functional teams, conducting hardware debugging, analyzing test data, ensuring compliance with industry standards, and providing technical mentorship. Key Responsibilities: - Develop, debug, and optimize ATE test programs for Advantest testers. - Support RMA analysis and implement corrective actions. - Maintain and enhance test methodologies for efficiency and yield improvement. - Manage and operate ATE testers to execute test plans smoothly. - Collaborate with cross-functional teams to enhance testing strategies. - Conduct hardware debugging and bring-up activities. - Analyze test data, troubleshoot failures, and drive continuous improvements. - Ensure compliance with industry standards and customer requirements. - Document test procedures and results for knowledge sharing. - Train junior engineers and provide technical mentorship. Qualification Required: - Education: Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or a related field. - Experience: 5+ years in ATE testing and post-silicon validation, with at least 2 years in a leadership role. - Technical Skills: Expertise in ATE test programming, proficiency in scripting languages, understanding of circuit design, and familiarity with validation tools and methodologies. - Leadership Skills: Proven track record of leading technical teams and strong project management skills. - Soft Skills: Strong problem-solving and analytical skills, excellent communication skills, ability to work independently and in a team, attention to detail, and commitment to quality. Additional Details: You may have the opportunity to visit Japan for short-term (3-6 months) and long-term (1-2 years) assignments. Note: The "Good to Have" qualifications and experience are not included in the key requirements but can be beneficial for the role.,

Role Overview: As a Senior Statistical Programmer working fully embedded within a pharmaceutical client, supported by Cytel, you will play a crucial role in driving innovation and supporting global pharmaceutical clients in driving the next generation of patient treatment. You will have the opportunity to work autonomously and take ownership in a dynamic environment. Key Responsibilities: - Perform data manipulation, analysis, and reporting of clinical trial data using SAS programming - Generate and validate SDTM and ADaM datasets/analysis files, as well as tables, listings, and figures (TLFs) - Conduct production and QC/validation programming - Generate complex ad-hoc reports from raw data - Apply strong understanding/experience of Efficacy analysis - Create and review submission documents and eCRTs - Communicate with internal cross-functional teams and clients for project specifications, status, and inquiries - Lead duties when called upon - Be adaptable and flexible in response to changing priorities - Experience in Real-World Evidence (RWE) would be advantageous Qualifications: - Bachelor's degree in Statistics, Computer Science, Mathematics, or related fields - Minimum of 8 years of SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor's degree, or 6 years of experience with a master's degree or above - Study lead experience preferred, handling multiple projects simultaneously - Strong SAS data manipulation, analysis, and reporting skills - Proficiency in CDISC SDTM/ADaM standards - Strong QC/validation skills - Good ad-hoc reporting skills - Proficiency in Efficacy analysis - Familiarity with the drug development life cycle and clinical trial data analysis - Experience with submission documents and define.xml - Experience supporting immunology, respiratory, or oncology studies a plus - Excellent analytical and troubleshooting skills - Ability to deliver quality output within challenging timelines - Effective teamwork in a globally dispersed team environment - Experience in Real-World Evidence (RWE) would be an added advantage Additional Company Details: Cytel is the largest provider of statistical software and advanced analytics for clinical trial design and execution. With over thirty years of experience, Cytel's scientific rigor and operational excellence have helped biotech and pharmaceutical companies to navigate uncertainty and unlock the full potential of their data. Join a team where talent, experience, and scientific rigor collaborate to advance clinical development and contribute to the future of human health. Explore Cytel careers for opportunities in biostatistics, statistical programming, adaptive clinical trial design, and more.,

As a Senior Data Anonymization Analyst at data42, you will play a crucial role in anonymizing data sets to enable secondary research on data lakes. Your responsibilities will include anonymizing data from clinical trials, including clinical raw and derived data, images, documents, and other unstructured data. You will use software products to anonymize data sets and mitigate the risk of re-identification of personal data. Additionally, you will identify and classify direct and indirect identifiers, create reports, support efficiency improvements in data anonymization, and manage data quality. Your key responsibilities will include: - Performing Data Anonymization activities for data42 - Collaborating with other Data Anonymization analysts and making anonymization decisions/recommendations as required - Communicating with stakeholders to ensure quality data anonymization and reporting within deadlines - Building and maintaining effective working relationships with cross-functional teams - Ensuring timely and high-quality anonymization and validation of datasets - Maintaining up-to-date knowledge of programming software and industry requirements - Understanding and contributing to the Risk-based anonymization strategy Your performance will be measured based on: - Achievement of goals with high quality and timely anonymization deliverables - Collaboration with other data42 product teams - Ability and effectiveness in executing responsibilities Your impact on the organization will be reflected in: - Successful delivery of projects with timely, high-quality anonymization output - Innovative solutions to support efficient anonymization deliverables - High-quality work product to support the data42 data anonymization team Minimum Qualifications: - Education: BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences, or related field - Experience: 4-5 years in a programming role managing anonymization-related tasks, preferably in pharmaceutical or healthcare industries - Skills: SAS experience, understanding of CDISC data structures, Python knowledge is a plus - Other Requirements: Good communication skills, project management experience, attention to detail Fluent English (oral and written) is required for this role. Join the Novartis community and be part of a team dedicated to making a difference in the lives of patients and their families. Together, we can achieve breakthroughs that change lives. Visit [Novartis](https://www.novartis.com/about/strategy/people-and-culture) to learn more about our mission. If you are interested in exploring career opportunities at Novartis, sign up for our talent community [here](https://talentnetwork.novartis.com/network). For more information on benefits and rewards at Novartis, please refer to our handbook [here](https://www.novartis.com/careers/benefits-rewards). As a Senior Data Anonymization Analyst at data42, you will play a crucial role in anonymizing data sets to enable secondary research on data lakes. Your responsibilities will include anonymizing data from clinical trials, including clinical raw and derived data, images, documents, and other unstructured data. You will use software products to anonymize data sets and mitigate the risk of re-identification of personal data. Additionally, you will identify and classify direct and indirect identifiers, create reports, support efficiency improvements in data anonymization, and manage data quality. Your key responsibilities will include: - Performing Data Anonymization activities for data42 - Collaborating with other Data Anonymization analysts and making anonymization decisions/recommendations as required - Communicating with stakeholders to ensure quality data anonymization and reporting within deadlines - Building and maintaining effective working relationships with cross-functional teams - Ensuring timely and high-quality anonymization and validation of datasets - Maintaining up-to-date knowledge of programming software and industry requirements - Understanding and contributing to the Risk-based anonymization strategy Your performance will be measured based on: - Achievement of goals with high quality and timely anonymization deliverables - Collaboration with other data42 product teams - Ability and effectiveness in executing responsibilities Your impact on the organization will be reflected in: - Successful delivery of projects with timely, high-quality anonymization output - Innovative solutions to support efficient anonymization deliverables - High-quality work product to support the data42 data anonymization team Minimum Qualifications: - Education: BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences, or related field - Experience: 4-5 years in a programming role managing anonymization-related tasks, preferably in pharmaceutical or healthcare industries - Skills: SAS experience, understanding of CDI

As a Biostatistician at CPVIA, a clinical data analytics solutions company in Hyderabad, your role will involve utilizing your expertise in statistical programming and consulting to support pharmaceutical, biotechnology, and medical device companies. Your primary focus will be on accelerating drug development activities while maintaining high quality standards and cost efficiency through collaboration with a team of experienced professionals. - Collaborate with lab scientists, technicians, statisticians, and programmers to provide internal statistical support - Work closely with various stakeholders to facilitate drug development activities and ensure successful project outcomes - Share knowledge within multidisciplinary teams and contribute to study oversight and delivery - Develop protocols, Statistical Analysis Plans (SAP), Tables, Figures, and Listings (TFL) To excel in this role, you are required to: - Hold a university degree in Sciences or Engineering - Have a post-graduate qualification in Biostatistics or equivalent statistical experience - Possess a strong grasp of statistical theory, diverse methodologies, and experimental designs - Be proficient in SAS, R (and JMP) - Demonstrate effective communication skills to bridge theoretical concepts with practical applications - Have technical skills in power calculation, simulations, and Quality Data Model (QDM) If you meet the qualifications mentioned above and are passionate about making a meaningful impact in drug development, CPVIA encourages you to apply by submitting your resume to info@cpvia.com. Join the dynamic team at CPVIA dedicated to driving innovation and excellence in clinical data analytics.,

Role Overview: As a Statistical Programmer at Statistics & Data Corporation (SDC), your primary responsibility will be to provide statistical programming support for clinical trials. This includes generating and validating analysis datasets, tables, listings, and figures for clinical trials, creating SDTM mapping and datasets, and maintaining the infrastructure for project files of SAS datasets and SAS code. You will collaborate with Data Management on data set creations/transfers, integrity checks, and quality audits, and act as a liaison between clinical subcommittees and project teams as needed. Key Responsibilities: - Performing statistical programming for clinical trial analysis and reporting on large-scale, complex projects - Applying appropriate statistical methods for data analysis and providing expertise to project teams - Leading the design and development of SAS macros and utilities to expedite programming activities - Generating tables, listings, and figures per protocol and client requests - Reviewing reports for compliance with CDISC and FDA guidelines - Developing documentation and study data reviewers guides - Managing programming timelines, budgets, and client expectations - Mentoring junior statistical programmers and ensuring compliance with standard procedures and sponsor requirements Qualifications Required: - Strong analytical skills - Proficiency in SAS programming (SAS/Base, SAS/Stat, SAS Macros, and SAS/Graph) - Problem-solving abilities and the capability to work independently - Excellent knowledge of statistical programming - Ability to communicate technical concepts clearly - Familiarity with clinical trial design and regulatory guidelines (Note: Additional Company Details are omitted as they are not present in the provided job description.),

Role Overview: You will provide expertise under the Global Head, Statistical Programming in AQS Development, focusing on quality, CDISC standards, open-source capabilities, automation, and data structures for modeling. This role requires extensive experience in drug development, GCP, and regulatory requirements. You will enhance open-source programming capabilities and programming/reporting standards across therapeutic areas, acting as an influential leader representing Statistical Programming at leadership meetings, overseeing and coordinating all functional activities, and collaborating to ensure consistency in programming practices across sub-functions. Your initiatives will lead to establish AQS as industry best-in-class. Key Responsibilities: - Drive productivity and efficiency measures to meet the strategic imperatives within AQS sub-functions, quality, and productivity targets. Actively ensure that teams" performance measures are being met or exceeded and take appropriate action when needed to drive corrective measures. - Establish and maintain a high-performing Organization by mentoring leadership talent and high-performing associates, responsible for performance management/feedback, professional development, and training. Establish and steer a business founded on disease area knowledge, innovation, collaboration, quality, and trust. - Evaluate Statistical Programming requirements of computer systems and needs that relate to programming and reporting activities that foster the use of emerging technologies in an innovative but compliant manner. - Act with an enterprise mindset as a functional leader of AQS, fully involved in all aspects of Statistical Programming, including the development of future strategies and processes. Contribute to the further development of the AQS organization with a focus on continuous improvement and quality. - Understand the needs and expectations of different Health Authorities, ensure audit readiness, and participate in Health Authority inspections. Monitor all assigned projects within DU/sub-function, complying with Novartis, AQS, and industry standards. - Build and establish a strong team based on technical agility, capability, quality focus, excellence in performance, and Novartis values and behaviors. Ensure the team addresses compliance matters in a timely way. - Identify the need for enhanced capability programs (R programming, Disease Area skills, etc.) and support the establishment of technical, business, and soft skills for all Statistical Programming associates. - Lead and support global clinical and non-clinical projects and initiatives to drive functional excellence within AQS. Ensure high-quality communication and information flow on the status of all deliverables to stakeholders, mitigate, and manage risks. Qualification Required: - University or college degree in life science, computer science, statistics, or another relevant field. - Proven leadership, collaboration, and organizational skills with a demonstrated ability to successfully manage simultaneous deliverables and meet deadlines. - Excellent understanding of clinical trial methodology, GCP, and medical terminology. - Fluent English (oral and written).,