202 Statistical Programming Jobs - Page 2

As a Senior Data Scientist at Mondelz International, you will play a crucial role in supporting the business by deriving valuable insights from data and effectively communicating your findings to various stakeholders. Your primary responsibilities will involve analyzing data using mathematical, statistical, and machine learning techniques to create actionable insights that drive data-driven decision making within the organization. Your key contributions will include formulating hypotheses, testing them through statistical modeling, and identifying trends or patterns that can be used to develop custom models or prototypes. You will collaborate with cross-functional teams to implement these models, monitor their performance, and ensure data accuracy throughout the process. In addition to your quantitative skillset and experience in statistics, you will leverage your knowledge of statistical programming languages such as R, Python, and SQL to process and gain insights from data. Your expertise in machine learning techniques, advanced statistical concepts, and data mining will be essential in developing analytics models that support decision-making processes. Furthermore, you will be responsible for exploring and experimenting with data visualization tools to effectively showcase data to stakeholders. Your ability to evaluate the need for analytics, select appropriate techniques, and generate valuable insights will be critical in driving innovation and maximizing value within the Data & Analytics function. As a strategic advisor, you will lead data science engagements, shape the organization's data science capabilities, and define internal standards for application development. Your role will involve designing enterprise-level data science applications, recommending suitable tools and technologies, and promoting responsible AI adoption within the organization. In summary, as a Senior Data Scientist at Mondelz International, you will be at the forefront of data-driven decision making, leading data science projects from concept to deployment, and driving innovation through the application of advanced analytics techniques. If you are ready to contribute your expertise and accelerate your career in the field of data science, we invite you to join our mission to lead the future of snacking at Mondelz International.,

As an Associate Director, Statistical Programming at Syneos Health, you will be part of a leading biopharmaceutical solutions organization focused on accelerating customer success. Our company is dedicated to translating clinical, medical affairs, and commercial insights into tangible outcomes that address the modern market landscape. In our Clinical Development model, we prioritize putting the customer and patient at the core of our operations. We are committed to simplifying and streamlining our processes to enhance collaboration and make Syneos Health a preferred partner. Whether you are engaged in a Functional Service Provider partnership or a Full-Service environment, you will work alongside passionate problem solvers, fostering innovation and teamwork to help our clients achieve their objectives. Our agile and driven approach aims to expedite the delivery of therapies, driven by a shared passion to make a positive impact on people's lives. At Syneos Health, we value the development of our employees through various avenues such as career growth opportunities, supportive management, technical and therapeutic training, peer recognition, and a comprehensive rewards program. Our Total Self culture encourages authenticity and inclusivity, fostering a global environment where individuals can truly be themselves. By embracing diversity of thoughts, backgrounds, cultures, and perspectives, we create a workplace where everyone feels a sense of belonging. Syneos Health has a rich history of collaborating on groundbreaking projects, having contributed to 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products, and over 200 Studies involving 73,000 Sites and 675,000+ Trial patients in the past 5 years. Regardless of your role within the organization, you will be encouraged to take initiative, challenge conventions, and thrive in a dynamic and competitive industry environment. Please refer to the detailed job responsibilities that will be discussed during the Discovery call to gain a deeper understanding of the expectations associated with the role of Associate Director, Statistical Programming at Syneos Health. Kindly visit our website http://www.syneoshealth.com to learn more about our company and the impactful work we do globally. Please note that the tasks, duties, and responsibilities outlined in this job description are not exhaustive. The Company reserves the right to assign additional tasks and responsibilities as needed. Equivalent experiences, skills, and education will also be considered, potentially resulting in differences between the qualifications of individuals and those mentioned in the Job Description. The Company will determine equivalencies at its discretion. It is important to understand that this document does not establish an employment contract. We are committed to compliance with the Americans with Disabilities Act and strive to provide reasonable accommodations when necessary to support employees or applicants in performing their job functions effectively.,

Remote Work: Hybrid Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer s and partner s needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about locally and globally. We ve only begun reimaging the future for our people, our customers, and the world. Let s create tomorrow together. We are seeking a highly skilled and motivated Data Scientist (LLM Specialist) to join our AI/ML team. This role is ideal for an individual passionate about Large Language Models (LLMs) , workflow automation, and customer-centric AI solutions. You will be responsible for building robust ML pipelines , designing scalable workflows, interfacing with customers, and independently driving research and innovation in the evolving agentic AI space . Key Responsibilities: LLM Development & Optimization: Train, fine-tune, evaluate, and deploy Large Language Models (LLMs) for various customer-facing applications. Pipeline & Workflow Development: Build scalable machine learning workflows and pipelines that facilitate efficient data ingestion, model training, and deployment. Model Evaluation & Performance Tuning: Implement best-in-class evaluation metrics to assess model performance, optimize for efficiency, and mitigate biases in LLM applications. Customer Engagement: Collaborate closely with customers to understand their needs, design AI-driven solutions , and iterate on models to enhance user experiences. Research & Innovation: Stay updated on the latest developments in LLMs, agentic AI , reinforcement learning with human feedback (RLHF), and generative AI applications. Recommend novel approaches to improve AI-based solutions. Infrastructure & Deployment: Work with MLOps tools to streamline deployment and serve models efficiently using cloud-based or on-premise architectures, including Google Vertex AI for model training, deployment, and inference. Foundational Model Training: Experience working with open-weight foundational models , leveraging pre-trained architectures, fine-tuning on domain-specific datasets, and optimizing models for performance and cost-efficiency. Cross-Functional Collaboration: Partner with engineering, product, and design teams to integrate LLM-based solutions into customer products seamlessly. Ethical AI Practices: Ensure responsible AI development by addressing concerns related to bias, safety, security, and interpretability in LLMs. Responsibilities: Experience: experience in ML, NLP, or AI-related roles, with a focus on LLMs and generative AI . Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs (e.g., OpenAI s GPT, Meta s LLaMA, Mistral, or other transformer-based architectures). Foundational Model Knowledge: Strong understanding of open-weight LLM architectures , including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation . Data Pipeline Development: Strong understanding of data engineering concepts , feature engineering, and workflow automation using Airflow or Kubeflow . Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes . Model Serving & Optimization: Proficiency in model quantization, pruning, distillation, and knowledge distillation to improve deployment efficiency and scalability. Research & Problem-Solving: Ability to conduct independent research , explore novel solutions , and implement state-of-the-art ML techniques. Strong Communication Skills: Ability to translate technical concepts into actionable insights for non-technical stakeholders. Version Control & Collaboration: Proficiency in Git, CI/CD pipelines , and working in cross-functional teams . Qualifications: Bachelor s in Computer Science, Machine learning, or related discipline.Master s preferred Strong background in statistics, machine learning, deep learning and programming necessary. 5+years experience required Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multi-disciplinary teams Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.) Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib) Prior experience with Tensorflow Prior experience in Natural Language Processing using NLTK Retail industry experience desired Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure) Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark) Solid understanding of data structures, software design and architecture Ability to work independently and take initiative, but also a co-operative team player To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department. ", "

Biostatistician II statistical analyses for clinical research studies as outlined in statistical analysis plans, including creating statistical graphics and verifying randomization codes. They prepare statistical sections of protocols, including sample size calculations, annotate shell data displays, and provide specifications for the structure, content, and algorithms of status and analysis datasets. They perform and oversee quality control (QC) of data displays with inferential statistics. Statisticians report to the Biostatistics Manager. QUALIFICATIONS FOR ESSENTIAL FUNCTIONS Develop, validate, and maintain SAS programs to create analysis datasets, tables, listings, and figures (TLFs) as specified in statistical analysis plans. Design and verify randomization codes to support clinical trial integrity. Prepare statistical sections of protocols, including sample size calculations, and annotate shell data displays. Provide specifications for the structure, content, and algorithms of status and analysis datasets. Perform and oversee quality control (QC) of data displays and analysis datasets to ensure accuracy and compliance with CDISC standards (SDTM, ADaM). Conduct independent validation of datasets created by other programmers or statisticians. Maintain project administration files, including protocols, annotated CRFs, statistical analysis plans, and programming/QC documentation. Manage electronic project directories to ensure organization and accessibility of deliverables. Mentor and guide junior programmers, providing training on SAS programming and clinical data standard Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Skill required: Data Scientist - Data Science Designation: I&F Decision Science Practitioner Specialist Qualifications: Any Graduation Years of Experience: Experienced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Insights & Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. You will be working as a part of Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to marketing organizations in terms of optimizing ROI & performance efficiency in operations.Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. You should have exposure to digital marketing, A/B testing, MVT, Google Analytics/Site Catalyst. You will be a core member of Accenture Operations global Applied Intelligence group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. The objectives of the team include but are not limited toLeading team of data scientists to build and deploy data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Refining and improving data science models based on feedback, new data, and evolving business needs. Analyze available data to identify opportunities for enhancing brand equity, improving retail margins, achieving profitable growth, and expanding market share for clients. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience - Python, R, SAS, S-plus, MATLAB, STATA or SPSS. Experience working with large data sets and big data tools like Snowflake, AWS, Spark, etc. Solid knowledge in at least one of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc.), Multivariate Statistics, Non-parametric Methods, Reliability Models, Markov Models, Stochastic models, Bayesian Models Experience in atleast one of these business domainsCPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

As a Clinical Data Manager at Clinvigilant Research Pvt. Ltd., a company of GSC Group, located onsite in Ahmedabad, you will play a crucial role in managing and overseeing the data collected during clinical trials. With 3 to 6 years of experience in clinical data management or a related field, you will ensure the accuracy, integrity, and compliance of clinical trial data with regulations. Your primary responsibility will be to oversee the collection, management, and quality control of clinical trial data. Working closely with clinical research teams, statisticians, and regulatory authorities, you will ensure that data is accurately recorded, processed, and analyzed for clinical trials. Your role will involve developing, implementing, and maintaining the Data Management Plan (DMP) for clinical trials, ensuring alignment with study protocols, regulatory requirements, and internal standards. Collaborating with clinical and statistical teams, you will design and build electronic data capture (EDC) systems and clinical databases. You will perform user acceptance testing (UAT) to verify the proper functioning of these systems. Additionally, you will oversee the collection and validation of clinical trial data, ensuring accuracy and completeness while maintaining data consistency through thorough reviews of case report forms (CRFs). Your responsibilities will also include implementing and managing data cleaning processes, ensuring data quality control, and resolving data discrepancies promptly. You will prepare and maintain comprehensive documentation related to data management processes, ensuring compliance with Good Clinical Practice (GCP) guidelines, ICH guidelines, FDA regulations, and other applicable regulatory bodies. Effective collaboration and communication with cross-functional teams will be essential, as you will serve as the primary point of contact for data-related queries and provide valuable data insights to stakeholders. Training and mentoring clinical data staff, as well as managing relationships with third-party vendors, will be part of your role. Preferred qualifications for this position include experience working with complex clinical trials, knowledge of regulatory submissions and reporting, and familiarity with statistical programming and data analysis tools. If you possess strong proficiency in clinical data management systems, a solid understanding of regulatory requirements, and excellent problem-solving skills, we encourage you to apply for this full-time, permanent position. The work schedule is Monday to Friday, and relocation to Ahmedabad, Gujarat, is required. The expected start date for this role is 03/01/2022. When applying, please provide your self-rating in English proficiency (beginner/average/professional). A Bachelor's degree and a minimum of 3 years of experience in Clinical Data Management are required for this position.,

For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance. This role offers an exciting opportunity to leverage healthcare data and advanced analytics to optimize pharmaceutical commercial engagement, driving strategic insights that enhance sales performance, marketing effectiveness, and customer engagement across therapeutic areas. In this position, you will be responsible for various key tasks including Commercial Analytics & Strategy, Sales Performance & Launch Planning, Client Engagement, Technical Execution, and Project Management. Your responsibilities will include conducting customer segmentation and targeting analyses, developing sales force sizing models, executing territory alignment projects, and creating call planning optimization models. Additionally, you will analyze sales performance data, conduct competitive intelligence analysis, and support launch planning for new pharmaceutical products. You will collaborate with pharmaceutical clients to understand their commercial challenges and strategic objectives, presenting findings and recommendations to commercial leadership teams through clear, actionable reports and presentations. Moreover, you will extract, clean, and manipulate large commercial and healthcare datasets, develop automated analytical workflows, and build predictive models for customer behavior and sales forecasting. To be successful in this role, you should possess a Bachelor's or Master's degree in Business Analytics, Marketing Analytics, Operations Research, Statistics, or a related quantitative field. You should have a minimum of 2+ years of professional experience in commercial analytics, pharmaceutical sales operations, or a related consulting environment. Advanced proficiency in statistical programming languages, strong SQL skills, and experience with data visualization tools are required. At Beghou Consulting, we value our employees and promote a supportive, collaborative, and dynamic work environment that encourages both professional and personal growth. If you are looking to work in a challenging yet rewarding role where you can make a significant impact in the pharmaceutical industry, we encourage you to apply for this position.,

Senior Statistical Programmer II (DMC) - Office or Home - India ICON plc is a world-leading healthcare intelligence and clinical research organization. We re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development We are currently seeking a Senior Statistical Programmer I to join our diverse and dynamic team. As a Senior Statistical Programmer I at ICON, you will play a crucial role in analyzing clinical trial data and supporting the statistical analysis process to ensure high-quality results. You will contribute to the success of our clinical studies by developing and validating statistical programs, collaborating with biostatisticians, and ensuring compliance with regulatory standards. What You Will Be Doing: Developing and validating SAS programs for statistical analysis and reporting of clinical trial data. Collaborating with biostatisticians to define analysis plans and statistical methods to be applied to clinical data. Performing quality control checks on statistical outputs and ensuring accuracy and consistency in reporting. Assisting in the preparation of statistical reports, presentations, and publications for regulatory submissions. Contributing to process improvements by identifying efficiencies in programming practices and methodologies. Your Profile: Bachelor s or Master s degree in Statistics, Mathematics, Computer Science, or a related field. Experience in statistical programming, preferably in a clinical research or pharmaceutical setting. Strong proficiency in SAS programming, with a solid understanding of statistical concepts and methodologies. Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication skills, with the ability to work collaboratively in a team environment and effectively convey complex information. What ICON can offer you: Our success depends on the quality of our people. That s why we ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family s needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family s well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.

Senior Statistical Programmer II (DMC) - Office or Home - India We are currently seeking a Senior Statistical Programmer I to join our diverse and dynamic team. As a Senior Statistical Programmer I at ICON, you will play a crucial role in analyzing clinical trial data and supporting the statistical analysis process to ensure high-quality results. You will contribute to the success of our clinical studies by developing and validating statistical programs, collaborating with biostatisticians, and ensuring compliance with regulatory standards. What You Will Be Doing: Developing and validating SAS programs for statistical analysis and reporting of clinical trial data. Collaborating with biostatisticians to define analysis plans and statistical methods to be applied to clinical data. Performing quality control checks on statistical outputs and ensuring accuracy and consistency in reporting. Assisting in the preparation of statistical reports, presentations, and publications for regulatory submissions. Contributing to process improvements by identifying efficiencies in programming practices and methodologies. Your Profile: Bachelor s or Master s degree in Statistics, Mathematics, Computer Science, or a related field. Experience in statistical programming, preferably in a clinical research or pharmaceutical setting. Strong proficiency in SAS programming, with a solid understanding of statistical concepts and methodologies. Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication skills, with the ability to work collaboratively in a team environment and effectively convey complex information. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here . Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there s every chance you re exactly what we re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Moniepoint is Africas all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria s largest merchant acquirer. Your Opportunity and Mission We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models Design experiments and interpret the results to draw detailed and actionable conclusions Work in cross-functional teams across disciplines such as product, engineering and business. You Have... +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred. Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation. Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure. Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights Excellent spoken and written English What Moniepoint Can Offer You The opportunity to drive financial inclusion and shape the future of the African financial ecosystem The chance to work on innovative and impactful projects A dynamic, diverse, and collaborative environment where every team member s voice is recognized and valued Flexible work arrangements Continuous learning and career growth opportunities Competitive salary, individual performance bonuses, and firmwide performance bonus Company covered health insurance plans Pension plans What to expect in the hiring process A preliminary phone call with one of our recruiters A general interview with the Senior Manager of Marketing Strategy A case study-based discussion with SVP of Marketing A behavioural interview with members of the Executive team Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.

In this role you will be part of our Centre of Excellence team working specifically in SDTM therefore extensive experience and knowledge is required in this area. What you'll be doing: Develops SAS programs to generate listings, tables and figures as outlined by mock TLF shells Performs quality control (source code review, double-programming and log review) of SAS programs Develops SAS programs to generate CDISC and other analysis data sets as outlined by respective specifications Prepares specifications for CDISC and other analysis data sets Assists Data Management with SAS programming needs Acts as Lead Biostatistical Programmer to interact with the Lead Biostatistician and the study team Develops and validates general SAS macros What we are searching for: BS or equivalent from accredited college or university, in statistics, IT, mathematics or closely related field or work related experience to be able to perform this role 6-8 years of experience in SAS programming within the area of clinical trials. Prior experience using computerized information systems preferred. Knowledge of ICH and local regulatory authority drug research and development regulations preferred. Advanced knowledge of SAS Software data set architecture, utilities, and programming techniques Demonstrated working knowledge of advanced SAS macro development and code generation/management algorithms.

The role of an SAS Developer at XpertDox in Noida, India involves developing and maintaining SAS programs, conducting statistical analyses, managing data, and ensuring the accuracy and efficiency of programs. As an SAS Developer, you will collaborate with cross-functional teams to enhance data-driven decision-making processes and improve healthcare outcomes. To excel in this role, you should have proficiency in Statistical Programming and general Programming skills. Strong Analytical Skills and knowledge of Statistics are essential for conducting effective statistical analyses. Experience in Data Management and data-driven decision-making will be beneficial in managing data efficiently. Your problem-solving abilities and attention to detail will play a crucial role in ensuring the accuracy and efficiency of the programs you develop. It is important that you have at least 2 years of SAS programming experience to effectively fulfill the responsibilities of this role. While experience in the healthcare industry is a plus, the primary requirement is the ability to work on-site in Noida, India. By leveraging your skills and experience, you will contribute to XpertDox's mission of using advanced data analytics to improve clinical care and healthcare efficiency through its flagship product, XpertCoding, which automates medical coding using AI technology.,

As a Data Scientist (AI & Machine Learning) at Infosys Finacle, located in Bangalore/Chennai, you will have the opportunity to be a part of transforming banking technology through the power of AI and data science. You will collaborate with top industry leaders to work on cutting-edge AI solutions, propose innovative ideas, and adapt in a fast-paced learning environment. Your responsibilities will include building AI algorithms, designing experiments to extract insights from large datasets, using predictive modeling to enhance customer experiences and achieve business goals, developing Explainable and Responsible AI models, conducting research to create prototypes, and identifying opportunities to apply data science insights across various teams and functions. We are looking for individuals with 2 to 10+ years of experience in data science or analytics, strong analytical and problem-solving skills, proficiency in statistical programming languages like Python and SQL, knowledge of advanced statistical techniques, experience with machine learning algorithms, and the ability to deploy models as APIs. Excellent communication and presentation skills are essential for conveying complex ideas to non-technical stakeholders. If you are ready to make an impact and contribute to the global digital banking transformation, please email your CV and details to sweta.singh09@infosys.com. The interview process consists of 3 rounds: Online Coding Assessment, Technical Round, and Hiring Manager Round. Joining Infosys Finacle means being a part of building core banking platforms for global financial institutions, learning and innovating with industry experts, and contributing to a global digital banking transformation. About Finacle: Finacle is a leading provider of digital banking solutions, partnering with financial institutions to drive better banking experiences. Our cloud-native solution suite and SaaS services enable banks to engage, innovate, operate, and transform effectively. As a business unit of EdgeVerve Systems, a product subsidiary of Infosys, we are committed to helping financial institutions of all sizes achieve digital transformation at speed and scale. For more information, please visit the Finacle website at https://www.edgeverve.com/finacle/solutions/. Please note that EdgeVerve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. If you come across any such scams, please report them immediately.,

Role & responsibilitie About Syngene Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation. Job Purpose (1-2 Lines): To perform Biostatistical activities in Biometrics Department for Clinical Studies Phase 1-4 Key Responsibilities: (Maximum 5-8 Points) Reviewing protocol SAP & RAP preparation and implementation Sample size calculation Provides statistical consultations Preparing and reviewing randomization list Preparing and reviewing of tables, listing and graphs, as applicable Preparing and reviewing of statistical report, as applicable Provides support for blinding and unblinding documentations Preparing and reviewing standard operating procedures Training/Guiding/Mentoring associate biostatisticians and junior programmers. Objectives setting and appraisal for the team Facing client to answer statistical queries Any other responsibilities assigned by the organization from time to time Educational Qualification: M.Sc. in Statistics, Ph.D. in Statistics or any equivalent degree in Statistics Technical/functional Skills: (Maximum 4-6 Points) Expert in any programming language (preferably R and SAS) Clinical Trials Exposure – Pharmacokinetics and Phase I-IV Experience: 10-15 Years Behavioral Skills: Proficient in English (reading and writing), Stress Management, Empathy, Conflict resolution and Patience Equal Opportunity Employer: It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities. s Preferred candidate profile

3- 8 years of experience for Sr Statistical programming position, having strong understanding of SAS Base/Macros/GTL and experience of SDTM/ADAM/TLFs creation as per CDISC standards. Expertise in Base and Advance SAS programming. Development of the complex SAS macros that can be utilized across TAs in multiple studies, review of the developed SAS programs. Expertise in SQL, SAS Macros, Functions, SAS GTL, SAS, and other advanced SAS components. Location : - Bengaluru,Mumbai,Pune,Hyderabad Contact Person : - Sangeetha Tamil

You have a postgraduate degree in Biostatistics and possess 5-8 years of experience, or an equivalent combination of education and experience to effectively carry out the key responsibilities of the job. You have experience in leading statistical activities in clinical research, particularly in pharmaceutical research or CRO settings. You are proficient in using statistical software packages, with a preference for SAS, to conduct statistical analyses for research projects. Your role involves providing biostatistical consultation to clients or colleagues, formulating statistical objectives and experimental designs, and conducting statistical analyses. You are responsible for providing advanced statistical consulting and training to the team, writing programming for advanced statistical analyses, and acting as the Point of Contact for all Stats related activities within the organization. You prepare statistical data for various reports and publications, calculate sample size requirements for clinical studies, write detailed analysis plans, and descriptions of analyses and findings. Additionally, you prepare tables and graphs to present clinical data or results, draw conclusions or make predictions based on statistical analyses, and review medical research protocols to recommend appropriate statistical analyses. Your communication skills, both verbal and written, are essential in effectively documenting, planning, marketing, and executing programs. You have demonstrated the ability to lead a single project successfully. Moreover, you act as the Unblinded statistician for randomization schedules, provide statistical conclusions, and generate statistical reports for CSR. Overall, your expertise in Biostatistics, statistical programming, report generation, and leadership skills are crucial for fulfilling the responsibilities of this role effectively.,

As a Biostatistician at CPVIA, a clinical data analytics solutions company based in Hyderabad, you will play a crucial role in providing statistical programming outsource and statistical consulting services to pharmaceutical, biotechnology, and medical device companies. Your primary responsibility will be to offer internal statistical support by collaborating closely with lab scientists, technicians, and other statisticians/programmers within the team. Your expertise will be instrumental in supporting various drug development activities for our clients. To excel in this role, you must have a minimum of 3-10 years of experience in the pharmaceutical industry. A background in Sciences or Engineering at the university level, complemented with a post-graduate degree in Biostatistics or equivalent statistical experience, is essential. Proficiency in SAS, R (and JMP), and a deep understanding of statistical theory across various methodologies and experimental designs are prerequisites for this position. We are looking for a team player who can effectively communicate and collaborate within multidisciplinary teams. Your role will involve contributing to the development of protocols, SAPs, and TFLs, as well as overseeing studies and ensuring timely delivery. Strong technical skills in power calculation, simulations, and QDM will be beneficial in fulfilling the requirements of this role. If you meet the qualifications mentioned above and are passionate about contributing to the acceleration of drug development activities with top-notch quality and cost-effectiveness, we invite you to share your resume with us at info@cpvia.com. Join our experienced and expert team at CPVIA to make a significant impact on the pharmaceutical and biotechnology sectors.,

Summary -Responsible to support all statistical programming/data review reporting and analytics development aspects of assigned studies or project-level activities. About the Role Major accountabilities: 1. Produce and track reports for various line functions within Global Drug Development, used for ongoing monitoring of clinical data 2. Provide understandable and actionable reports on clinical data and monitoring of clinical data for key stakeholders 3. Facilitate interaction with end-user on creating specifications and working with programmers or performing the programming activities for successful delivery 4. To provide quantitative analytical support to the global program teams, including providing support on analyzing reports 5. Support the planning, execution and close-out of Clinical Programs/Trials. 6. Support the management in collation and delivery of analytics reports for critical decision making 7. Create, file and maintain appropriate documentation 8. Work with the internal SMEs and key stakeholders in providing analysis and interpretation of clinical program/trial operational data 9. Provide necessary training to end-user on best / appropriate and consistent use of various data review tools 10. Program reports of various complexity from documented requirements, within the clinical reporting systems using SQL, PL/SQL, C#, VB script, SAS, Python, R 11. Good understanding of Novartis Clinical Data Standards and its implementation for creation of reports specifications or reports output Key performance indicators: A Quality and timeliness of deliverables 2. Revisions to deliverables caused by logic or programming errors 3. Customer feedback and satisfaction Minimum Requirements: Work Experience: 2-5 years of experience in clinical review and reporting programming, business analytics and/or clinical trial setup, gained in the pharmaceutical industry, CRO or Life Science related industry as well as the following: 2. Strong knowledge of programming languages (SQL, PL/SQL, C#, VB script, SAS, Python, R) 3. Knowledge of Data Review and/or Business Intelligence tools (such as Spotfire, JReview) 4. Understanding of clinical data management systems and/or relational databases as applied to clinical trials 5. Attention to detail, quality, time management and customer focus 6. Ability to translate technical concepts for nontechnical users in the areas of clinical database design and data review reporting development 7. Strong verbal and written communication skills to work with our global partners and customers 8. Understanding of Drug Development Process, ICHGCP, CDISC standards and Health Authority guidelines and regulation

As a Senior Clinical Data Analyst, you will be responsible for creating Data Management Plans (DMP), eCasebook Guidelines (eCCGs), Edit Check Specifications, Data Review Listing Specifications, and other set-up documents. You will also perform User Acceptance Testing (UAT) and review the Electronic Data Capture (EDC) database to ensure data consistency and completeness. Your duties will include Listings Review, Query Management, managing Serious Adverse Events (SAE) and external vendor data reconciliation, analyzing data trends, and generating reports. Additionally, you will be involved in User Account Management, Study Metrics, Quality Control (QC), and EDC Archival. In the role of Senior Statistical Programmer, your responsibilities will include developing, validating, and maintaining programs and tools to generate reports and listings for data review. You will create data transfer specifications, train and mentor other programmers, and establish programming specifications. It will be vital to maintain all necessary programming documentation while adhering to quality and industry standards. You will act as a Subject Matter Expert (SME) for technical inquiries, monitor tasks that may fall within or outside the project scope, and develop, validate, deploy, and manage EDC study builds. Your expertise will be required in crafting tools and macros to enhance quality and efficiency, and your proficiency with industry data standards such as CDASH, SDTM, ADaM, etc., will be crucial. To qualify for this position, you should possess a minimum of 3 to 4 years of relevant experience in the field.,

Role & responsibilities Collaborates with field experts in Research and Pre-Clinical Development to plan, execute and analyze relevant experiments independently, notably design of experiments feasible under given lab conditions, support of sample-size calculations and application for animal testing licenses, randomization, data transfer into appropriate stats software, interpretation of results. Takes statistical responsibility for one or more standard experiments. Develops the statistical analysis plan for the experiments as appropriate, ensuring overall consistency within and between projects. Facilitates the overall organization and coordination of statistical activities for specific experiments and small projects. Leads virtual cross-functional sub-teams within NCS/SIS of DS&AI. Assumes responsibility for the production and accuracy of the statistical deliverables and interpretation of the results. Works independently at routine and complex statistical questions and tasks. Develops and implements standard processes for the analysis of routine experiments. Oversees and ensures accurate and timely delivery of statistical work outsourced to external providers. What we're looking for Qualifications & Competencies: PhD or MSc in Biostatistics, Statistics or Mathematics, or related field. Strong communication skills. Ability to work independently as well as collaboratively, as required. Ability to translate statistical results into biological meaning Good knowledge of statistical programming languages (including SAS and R). Fluent English skills. At least two years as a non-clinical statistician focused on in vivo and in vitro experiments with significant time spent in pharma, biotech or similar sector.

The Lead Biostatistician is a key member of the Department of Biostatistics & Programming, responsible for performing all Biostatistics tasks essential for clinical trial analysis and reporting. Collaborating closely with the Statistical Programming, Data Management, and Product Development departments, this position involves leading projects across studies or programs. As the primary contact with the sponsor for all biostatistics related activities on assigned projects, you will direct the activities of other biostatisticians to ensure timely completion of high-quality work. Your responsibilities include providing statistical support for clinical studies, developing and reviewing statistical analysis plans, monitoring statistical analysis programs, and collaborating with functional management to meet project deliverables and timelines. In addition, you will perform all SAS programming required for analysis and reporting, plan and execute SAS programs to analyze clinical trial data, and conduct quality control checks on assigned tasks. Your role also involves maintaining high productivity on projects, identifying and communicating resource and quality issues, resolving data interpretation and reporting issues, complying with regulatory requirements, and independently solving technical problems. To qualify for this position, you should hold a minimum of a master's degree in Statistics and have at least 8 years of experience as a Biostatistician and Statistical Programmer for all clinical trial phases. Proficiency in industry standards, CDISC data standards, ICH-GCP guidelines, medical terminology, and clinical trial methodologies is essential for success in this role.,

Company Description CPVIA is a clinical data analytics solutions company based in Hyderabad (India) specializing in statistical programming outsource and statistical consulting services. Our experienced and expert team focuses on accelerating drug development activities across therapeutic areas with increased quality and optimum cost for pharmaceutical, biotechnology, and medical device companies. Role Description This is a full-time on-site role for a SeniorPrincipal Statistical Programmer at CPVIA in Hyderabad, with flexibility for remote work. The Principal Statistical Programmer will be responsible for statistical programming, data management, creating macros, and providing statistical expertise for various therapeutic areas. Qualifications Minimum 5 years of experience for Senior and 10 years of experience for Principal role in Statistical Programming for clinical trails using SAS Experience on R (especially admiral package) is mandatory as per the client request Data Management and Macro skills Experience in CDISC Data Standardization (SDTMs), ADaM and TLFs Experience in ADaM, TLFs Experience in creating Graphs using SAS or R Experience in (early phase studies, ideally PK/PD, biomarker) or HIV Therapeutic Area is desired. Ability to work independently and collaboratively Strong analytical and problem-solving skills Excellent communication and organizational skills Bachelor's or Master's degree in Statistics, Computer Science, or related field Willing to work in UK/US time zones and the job is based in India How To Apply If you met all the mentioned qualifications above, please send your resumes to info@cpvia.com,

A highly productive, independent programming lead ensuring excellence in the delivery of analysis ready datasets, tables, listings, and figures to advance research, development, and commercialization of the Pfizer portfolio following Pfizer SOPs and processes This role is the programming point of contact at the study level and will support at the asset/submission level. Ensures adherence to high quality programming standards in the production of clinical reports. Will deliver through combination of oversight of vendors/offshore support as well as through hands on programming Works with department leadership and project teams to establish strategy, timelines, and resourcing of statistical programming and analysis deliverables for their study(ies). Accountable for the quality and timely delivery of datasets and displays required for their clinical study reports as well as other asset level deliverables they may contribute to under the leadership of the asset lead. Ensures appropriate documentation across the lifespan of the study for all programming deliverables and verifies proper Trial Master File filings when appropriate. Ensures planning is in place for all programmed deliverables including consideration of special data types and downstream uses of data Works with statisticians, programming resources and other colleagues as appropriate to ensure clear specifications for programmed deliverables are in place. Will be knowledgeable in core safety standards as well as Therapeutic Area standards pertinent to their project, may aid in development of standards necessary for their study Will contribute to department level initiatives. Proactive at communicating potential issues to upper management Anticipates and solves routine problems, while developing the ability to solve complex problems using skills based on experience and extrapolation to new situations Work Location Assignment:Flexible Work Location Assignment: Flexible Work Location Assignment:Flexible Work Location Assignment: Hybrid Medical #LI-PFE

About The Role Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years What would you do Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualification Master of Engineering,Masters in Business Economics

As a Pricing Actuary at Swiss Re, your primary role involves assessing portfolio performance, identifying key drivers, and providing independent actuarial pricing opinions to enhance portfolio performance. You will collaborate with Senior team members and stakeholders in various departments such as Underwriting, Reserving, Claims, and Finance to develop a comprehensive view of the portfolio and enhance its performance through independent Actuarial Pricing opinions. Your responsibilities will include using actuarial methods and data science techniques to gain insights into trends, set costing parameters, and enhance the predictability and accuracy of costing models. By analyzing profitability studies and working with the team to translate findings into actionable insights, you will play a crucial role in steering the profitability of the portfolio and contributing to the overall Business Unit's performance. The Actuarial Portfolio Management (APM) team, part of the Global Actuarial Portfolio Management unit at Swiss Re, operates under the leadership of the Chief Underwriting Officer. The team comprises both seasoned experts in dedicated product specializations and highly motivated newer members who thrive in a dynamic and fast-paced learning environment. We prioritize inclusivity, value diverse perspectives, and encourage innovative thinking to ensure equal opportunities for professional development. In this role, you will develop forward-looking portfolio insights, drive data-driven initiatives, and contribute to the strategic direction of Property & Specialty lines of business. By engaging in various Actuarial investigations, including exposure analysis, Rate monitoring, and profitability analyses, you will actively contribute to portfolio steering efforts. To be successful in this position, you should have a minimum of 4 years of experience in P&C commercial insurance, with knowledge of Property and Specialty insurance products being advantageous. Proficiency in insurance pricing, portfolio profitability analysis, and costing model development is essential, along with familiarity with costing techniques and commercial insurance and reinsurance treaty pricing. Your technical skills should include highly developed numerical and analytical abilities, proficiency in statistical programming languages such as R and Python, and a willingness to learn actuarial methods and data science techniques. Additionally, you should possess a Master's degree in mathematics, Statistics, Economics, or equivalent quantitative/statistical fields. As a valued member of the team, you should demonstrate a keen interest in learning and applying advanced actuarial methods and data science techniques, along with a motivation to deliver high-quality results within specified timelines. Your ability to prioritize tasks, collaborate effectively with team members, and communicate insights clearly in various situations will be instrumental in driving collective success. Join Swiss Re, a global leader in reinsurance, insurance, and risk transfer solutions, where you can contribute to making the world more resilient by anticipating and managing a wide range of risks. With a focus on innovation, collaboration, and expertise, Swiss Re offers an exciting environment where you can create new opportunities and solutions for clients worldwide.,