312 Statistical Programming Jobs

As a Senior Principal Statistical Programmer, you will have the opportunity to work with advanced technical solutions such as R, Shiny, and SAS, allowing you to lead asset teams and mentor junior staff effectively In this role, you will contribute to global assets across a variety of therapeutic areas, shaping strategic decisions in statistical programming Your responsibilities will include leading the trial or asset programming team as the Lead Statistical Programmer, ensuring that asset and trial delivery aligns with established timelines and quality standards You will perform programming activities at both trial and asset levels, including the development of SDTM and ADaM datasets and the creation of specifications Additionally, you will develop and validate analytical outputs in accordance with the Statistical Analysis Plan and create datasets for integrated analyses like ISS or ISE You will also be responsible for executing ad-hoc programming activities based on internal and external requests Actively contributing to statistical programming initiatives, you will support process improvements and innovation while providing expert advice, guidance, and training to trial and asset teams, fostering the development of your colleagues skills Who are you: BSc or MSc (in a numerate discipline preferably in Mathematics, Statistics or Computer Science)Proven success in a Statistical Programming role within clinical development at a pharmaceutical or biotech company, or at a CRO, equivalent to a minimum of 9 years directly relevant experience Experience in an international environment is a plus Advanced skills in R and SAS Full familiarity of CDISC SDTM and ADaM standards (including specifications, Define xml, and reviewers guide) and underlying concepts Strong understanding of processes related to clinical development programs, Experience in leading e-submission processes is beneficial Demonstrated ability to manage assets effectively, ensuring timely delivery and quality outcomes Ability to provide solutions for complex programming challenges and evaluate alternatives to identify optimal solutions

As a Senior Principal Statistical Programmer, you will have the opportunity to work with advanced technical solutions such as R, Shiny, and SAS, allowing you to lead asset teams and mentor junior staff effectively In this role, you will contribute to global assets across a variety of therapeutic areas, shaping strategic decisions in statistical programming Your responsibilities will include leading the trial or asset programming team as the Lead Statistical Programmer, ensuring that asset and trial delivery aligns with established timelines and quality standards You will perform programming activities at both trial and asset levels, including the development of SDTM and ADaM datasets and the creation of specifications Additionally, you will develop and validate analytical outputs in accordance with the Statistical Analysis Plan and create datasets for integrated analyses like ISS or ISE You will also be responsible for executing ad-hoc programming activities based on internal and external requests Actively contributing to statistical programming initiatives, you will support process improvements and innovation while providing expert advice, guidance, and training to trial and asset teams, fostering the development of your colleagues skills Who are you: BSc or MSc (in a numerate discipline preferably in Mathematics, Statistics or Computer Science)Proven success in a Statistical Programming role within clinical development at a pharmaceutical or biotech company, or at a CRO, equivalent to a minimum of 9 years directly relevant experience Experience in an international environment is a plus Advanced skills in R and SAS Full familiarity of CDISC SDTM and ADaM standards (including specifications, Define xml, and reviewers guide) and underlying concepts Strong understanding of processes related to clinical development programs, Experience in leading e-submission processes is beneficial Demonstrated ability to manage assets effectively, ensuring timely delivery and quality outcomes Ability to provide solutions for complex programming challenges and evaluate alternatives to identify optimal solutions

As a Senior Principal Statistical Programmer, you will have the opportunity to work with advanced technical solutions such as R, Shiny, and SAS, allowing you to lead asset teams and mentor junior staff effectively In this role, you will contribute to global assets across a variety of therapeutic areas, shaping strategic decisions in statistical programming Your responsibilities will include leading the trial or asset programming team as the Lead Statistical Programmer, ensuring that asset and trial delivery aligns with established timelines and quality standards You will perform programming activities at both trial and asset levels, including the development of SDTM and ADaM datasets and the creation of specifications Additionally, you will develop and validate analytical outputs in accordance with the Statistical Analysis Plan and create datasets for integrated analyses like ISS or ISE You will also be responsible for executing ad-hoc programming activities based on internal and external requests Actively contributing to statistical programming initiatives, you will support process improvements and innovation while providing expert advice, guidance, and training to trial and asset teams, fostering the development of your colleagues skills Who are you: BSc or MSc (in a numerate discipline preferably in Mathematics, Statistics or Computer Science)Proven success in a Statistical Programming role within clinical development at a pharmaceutical or biotech company, or at a CRO, equivalent to a minimum of 9 years directly relevant experience Experience in an international environment is a plus Advanced skills in R and SAS Full familiarity of CDISC SDTM and ADaM standards (including specifications, Define xml, and reviewers guide) and underlying concepts Strong understanding of processes related to clinical development programs, Experience in leading e-submission processes is beneficial Demonstrated ability to manage assets effectively, ensuring timely delivery and quality outcomes Ability to provide solutions for complex programming challenges and evaluate alternatives to identify optimal solutions

As a Senior Principal Statistical Programmer, you will have the opportunity to work with advanced technical solutions such as R, Shiny, and SAS, allowing you to lead asset teams and mentor junior staff effectively In this role, you will contribute to global assets across a variety of therapeutic areas, shaping strategic decisions in statistical programming Your responsibilities will include leading the trial or asset programming team as the Lead Statistical Programmer, ensuring that asset and trial delivery aligns with established timelines and quality standards You will perform programming activities at both trial and asset levels, including the development of SDTM and ADaM datasets and the creation of specifications Additionally, you will develop and validate analytical outputs in accordance with the Statistical Analysis Plan and create datasets for integrated analyses like ISS or ISE You will also be responsible for executing ad-hoc programming activities based on internal and external requests Actively contributing to statistical programming initiatives, you will support process improvements and innovation while providing expert advice, guidance, and training to trial and asset teams, fostering the development of your colleagues skills Who are you: BSc or MSc (in a numerate discipline preferably in Mathematics, Statistics or Computer Science)Proven success in a Statistical Programming role within clinical development at a pharmaceutical or biotech company, or at a CRO, equivalent to a minimum of 9 years directly relevant experience Experience in an international environment is a plus Advanced skills in R and SAS Full familiarity of CDISC SDTM and ADaM standards (including specifications, Define xml, and reviewers guide) and underlying concepts Strong understanding of processes related to clinical development programs, Experience in leading e-submission processes is beneficial Demonstrated ability to manage assets effectively, ensuring timely delivery and quality outcomes Ability to provide solutions for complex programming challenges and evaluate alternatives to identify optimal solutions

Your Role Gen AI Developer with 5+ years of hands-on experience in designing, developing, and implementing artificial intelligence and Gen AI solutions across various domains. You will collaborate with cross-functional teams to create robust and scalable Gen AI applications that meet business objectives. Expertise in ideating, developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence. Experience working in at least one cloud environment (AWS/Azure/GCP) and model deployment, orchestration, containerization (Kubernetes). Knowledge of the application of AI technologies for automation such as natural language processing, virtual agents, computer vision, and neural networks. Excellent problem-solving and communication skills. Knowledge on version control systems, such as Git. Your Profile 3+ years of experience in statistical programming languages like Python, database query language SQL, Machine Learning 2+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 2+ years of experience in statistical modeling, forecasting, classification Good applied statistical skills and advanced statistical techniques and concepts Deep knowledge on ML frameworks such as TensorFlow, Pytorch, Keras, Spacy, scikit-learn. What You"ll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

As a Senior in the Quantitative and Commodities Center at EY, you will have the exciting opportunity to work on risk management modeling, portfolio analysis, valuation, and data science activities. Your role will involve developing new financial models and analytics to meet clients" needs, covering a range of commodities and commercial objectives. You will be part of a team of quantitative and commodities professionals with significant industry experience, providing you with opportunities to learn and develop your quantitative skills. Key Responsibilities: - Advise clients on advanced practices and market behavior using a commercial industry perspective - Develop quantitative financial models for commodity and financial contracts, implementing market factor simulation techniques and stochastic methods - Enhance proprietary valuation models and leverage machine learning techniques for analysis on commodity instruments - Present results internally and externally using modern data visualization tools - Write client reports describing work performed, recommendations, and outcomes - Problem solve under uncertainty to adapt existing approaches to new markets and client objectives - Work collaboratively in teams and independently with an adaptive, flexible approach to problem-solving Qualifications Required: - Bachelor's degree with two years of related work experience or graduate degree with one year of related work experience in quantitative disciplines - Proficiency in VBA programming, R or Python programming, and Microsoft Excel - Familiarity with derivatives pricing models, market factor simulation techniques, and numerical methods - Strong interest in financial and commodity markets - Ability to work within budget and schedule in a fast-paced environment - Strong work ethic, communication skills, and willingness to embrace new challenges - Flexibility and willingness to travel occasionally - Completion of an approved certification within 2 years of hiring At EY, the focus is on building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. With diverse teams across 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate in various sectors including assurance, consulting, law, strategy, tax, and transactions.,

As a Sr Statistical Programmer at Syneos Health, you will play a crucial role in developing and maintaining programs to create analysis datasets, tables, and figures. Your expertise in statistical programming will be utilized to provide comprehensive support for statisticians, clients, or business needs. Collaborating with stakeholders, you will ensure high-quality statistical outputs and contribute to process improvement and efficiency. Your role will involve managing projects, mentoring junior professionals, and staying updated with the latest advancements in statistical programming techniques. **Key Responsibilities:** - Develop and maintain programs to create analysis datasets, tables, and figures, ensuring accuracy and compliance with statistical standards - Provide comprehensive statistical programming support for statisticians, clients, or business needs - Source, organize, and interpret complex data sets using advanced coding techniques - Collaborate with stakeholders to understand project requirements and deliver high-quality statistical outputs - Evaluate existing programming processes, identify areas for improvement, and implement revisions - Contribute to the design, implementation, and delivery of processes, programs, and policies - Direct the work of lower-level professionals, providing guidance and mentorship - Manage processes and programs related to statistical programming to meet organizational goals - Ensure effective communication and collaboration with cross-functional teams - Stay updated with the latest advancements in statistical programming and data analysis techniques **Qualifications:** - Minimum of 5 years of experience in statistical programming with expert level proficiency on Safety & Efficacy datasets - Advanced degree in Statistics, Computer Science, or a related field - Proven experience in statistical programming and data analysis - Strong knowledge of programming languages such as SAS, R, or Python - Familiarity with data visualization tools and techniques - Excellent problem-solving and analytical skills - Ability to work independently and manage multiple projects simultaneously **Certifications:** - SAS Certified Advanced Programmer for SAS 9 or equivalent certification - Certification in data analysis or statistical programming is preferred **Necessary Skills:** - Proficiency in statistical programming and data manipulation - Strong understanding of statistical methodologies and data analysis techniques - Ability to develop and implement efficient programming solutions - Excellent communication and collaboration skills - Attention to detail and commitment to quality - Ability to adapt to changing project requirements and priorities In addition, Syneos Health is dedicated to developing its employees through career progression, technical training, and a supportive work environment. The company fosters a Total Self culture where authenticity is encouraged, and diversity of thoughts and perspectives are valued. If you are looking to make a meaningful impact in the biopharmaceutical industry, Syneos Health provides a dynamic and collaborative environment where your contributions matter everywhere. Please note that the tasks, duties, and responsibilities mentioned in this job description are not exhaustive, and the Company may assign additional responsibilities at its discretion. The Company values equivalent experience, skills, and education, and is committed to creating an inclusive and accommodating work environment.,

As a Principal Statistical Programmer at Syneos Health, you will play a crucial role in developing and maintaining statistical programming standards and best practices. Your responsibilities will include: - Providing technical expertise and leadership in the development of statistical programs - Collaborating with statisticians and other stakeholders to understand and address their programming needs - Ensuring the accuracy and integrity of data and statistical outputs - Troubleshooting and resolving programming issues and challenges - Mentoring and training junior programmers and other team members - Contributing to the continuous improvement of programming processes and tools - Designing and implementing efficient programming solutions to meet project requirements - Conducting code reviews and providing constructive feedback to ensure high-quality programming deliverables - Staying updated with the latest advancements in statistical programming and incorporating relevant techniques into practice Qualifications required for this role include: - Advanced degree in Statistics, Computer Science, or a related field - Extensive experience in statistical programming, preferably in a clinical or pharmaceutical setting - Proficiency in programming languages such as SAS, R, or Python - Strong understanding of statistical methods and data analysis techniques - Excellent problem-solving and analytical skills - Ability to work independently and as part of a team - Strong communication and interpersonal skills You should also hold the SAS Certified Advanced Programmer for SAS 9 or equivalent certification. Syneos Health is committed to providing a supportive and engaging work environment where you can authentically be yourself. With a focus on career development, peer recognition, and total rewards programs, we aim to create a place where everyone feels they belong. Join us in our mission to accelerate the delivery of therapies and change lives. In addition to the job description, please note that Syneos Health has worked with a significant percentage of FDA-approved drugs and EMA authorized products over the past 5 years. This demonstrates our commitment to excellence and innovation in the biopharmaceutical industry. As a Principal Statistical Programmer at Syneos Health, you will contribute to developing programs and providing statistical programming support for statisticians or for client or business use. Your role will involve sourcing, organizing, and interpreting complex data sets, creating statistical tables, listings, and graphs, and developing codes to create analysis datasets, tables, and figures. You will also evaluate programming processes and suggest revisions to increase productivity, manage or contribute to projects, programs, or processes that span multiple related areas, and direct the work of lower-level professionals or manage processes and programs using advanced knowledge and skills acquired through education. For more information about Syneos Health, visit our website at http://www.syneoshealth.com.,

As a Statistician I at YouV, you will play a crucial role in conducting statistical analysis for clinical trials, contributing to the interpretation of study results, and ensuring data quality and integrity. Your responsibilities will include: - Assisting in statistical analysis for clinical trials. - Performing data cleaning and validation. - Generating summary tables, figures, and listings. - Assisting in the development of statistical analysis plans and study protocols. - Collaborating with cross-functional teams to ensure data quality and integrity. - Contributing to the interpretation of study results. - Staying updated with relevant regulations and industry best practices. Qualifications required for this role include: - Education: Masters degree in Statistics, Biostatistics, or a related field. - Experience: Minimum of 1-2 years of industry experience as a Statistician within the Life Sciences industry or Contract Research Organization (CRO). - Proficiency in statistical analysis using SAS or R. - Familiarity with clinical trial protocols and statistical analysis plans. - Strong data interpretation and presentation skills. - Ability to work collaboratively in a team environment. Join us at YouV and be part of a collaborative, open-door, and inclusive environment where you will have the opportunity to learn beyond your designation and grow your skills. Experience a unique blend of warmth, positivity, and professional development.,

ISS - Senior Statistical Programmer - 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. 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 requirementsWe 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 EmployeePlease click here to apply

ISS - Senior Statistical Programmer - 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. 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 requirementsWe 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 EmployeePlease click here to apply

You will play a crucial role in Statistical Programming, providing high-level support for a variety of clinical trials as a consultant, both internally and externally. Your contributions will significantly impact the standardization of Statistical Programming processes and project management. This position offers the opportunity to work remotely from home. As a Principal candidate, you should have over 10 years of experience with at least 2 years of people management. For Senior candidates, 7-9 years of experience with project management exposure is required. Your responsibilities will include serving as a Statistical programming lead for large global or major programs, offering technical solutions and advice to staff and clients, and acting as a subject matter expert for complex projects. You will work on process optimization, develop standard macros or applications to enhance departmental efficiency, and provide advanced technical training to internal team members. Mentoring and training junior colleagues will also be part of your role. Ensuring all statistical activities adhere to internal and external quality standards, SOPs/WPDs, ICH-GCP, and other regulatory requirements is paramount. You will provide support during internal and client audits, actively participate in process improvement initiatives, and review various project documents such as Case Report Forms, Statistical Analysis Plans, and datasets. Strong oral and written communication skills are essential for this position. By maintaining a proactive approach to learning and staying abreast of industry standards and regulations, you will play a key role in the success of the Statistical Programming team.,

Key ResponsibilitiesUnderstand business requirements by engaging with business teams. Data extraction from valuable data sources & automating data collection process. Data processing, cleaning and validating integrity of data to be used for analysis. Exploratory data analysis to identify trends and patterns in large amount of data. Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc. Present insights using data visualization techniques. Propose solutions and strategies to various complex business challengesBuild GenAI models using RAG frameworks for chatbots, summarisation etc. Develop model deployement pipline using Lambda, ECS etcSkills & AttributesKnowledge of statistical programming languages like R, Python and database query languages like SQL and statistical tests like distributions, regression etc. Experience in data visualization tools like tableau, QlikSense etc. Ability to write comprehensive reports, with an analytical mind and inclination for problem-solving. Exposure in advanced techniques like GenAI, neural networks, NLP, image and speech processing. Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development and deployment

Job description Job Summary We are seeking a skilled In Vitro Statistician with 5 - 10 years of experience to support our research and development teams in statistical analysis of in vitro studies. The ideal candidate will be responsible for designing experiments, analyzing data, and providing statistical insights to support decision-making in pharmaceutical, biotechnology, or life sciences research. Key Responsibilities: Design, develop, and analyze in vitro study experiments, ensuring statistical rigor and accuracy. Apply appropriate statistical models and methodologies for data interpretation. Work closely with scientists, biologists, and researchers to provide statistical guidance in study design and result evaluation. Utilize statistical software (e.g., SAS, R, JMP, or Python) to conduct data analysis, visualization, and reporting. Validate and verify data integrity, ensuring compliance with regulatory guidelines (FDA, ICH, GLP). Develop and review statistical analysis plans (SAPs), study protocols, and technical reports. Support regulatory submissions by preparing statistical documentation and reports. Stay updated with the latest statistical methods and best practices in in vitro research. Required Qualifications & Skills: Masters or Ph.D. in Statistics, Biostatistics, Bioinformatics, or a related field. 5 - 10 years of experience in statistical analysis of in vitro studies, preferably in the pharmaceutical, biotechnology, or life sciences sector. Strong knowledge of experimental design, regression models, ANOVA, DOE, and multivariate analysis. Proficiency in statistical software (SAS, R, JMP, Python, or equivalent). Experience with data visualization, trend analysis, and predictive modeling. Understanding of regulatory requirements and compliance standards (FDA, ICH, GLP). Excellent communication skills to present findings to cross-functional teams. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience in bioassays, pharmacokinetics, biomarker analysis, or toxicology studies. Familiarity with machine learning and AI-based statistical modeling. Knowledge of clinical and preclinical statistical applications.

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities The ideal candidate will have expertise in developing software applications using SAS and Python. Roles and Responsibility Design, develop, and test software applications using SAS and Python. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain large-scale data processing systems using SAS and Python. Troubleshoot and resolve technical issues efficiently. Participate in code reviews and contribute to improving overall code quality. Stay updated with industry trends and emerging technologies in SAS and Python. Job Requirements Strong proficiency in SAS and Python programming languages. Experience with data analysis and visualization tools. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Familiarity with agile development methodologies. Minimum 6 years of experience in the IT Services & Consulting industry. Technical and Professional Requirements: SAS, Python, Base SAS Certified, Advanced SAS Certified Preferred Skills: Technology->sas->sas

About The Role Skill required: Delivery - Advanced Analytics Designation: I&F Decision Science Practitioner Specialist Qualifications: Master of Engineering,Masters in Business Economics Years of Experience: 7 to 11 Years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com 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 domainsEnergy, 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. QualificationsMasters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Leading 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. 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

About The Role Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com 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: Leading 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. 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

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 About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com 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

About The Role Skill required: Data Scientist - Data Science Designation: I&F Decision Science Practitioner Specialist Qualifications: Any Graduation Years of Experience: Experienced About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.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

About The Role Skill required: Data Scientist - Data Science Designation: Analytics Associate Manager - Insights and Intelligence Qualifications: Any Graduation Years of Experience: Experienced About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.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 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

Key ResponsibilitiesUnderstand business requirements by engaging with business teams Data extraction from valuable data sources & automating data collection process Data processing, cleaning and validating integrity of data to be used for analysis Exploratory data analysis to identify trends and patterns in large amount of data Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc Present insights using data visualization techniques Propose solutions and strategies to various complex business challengesBuild GenAI models using RAG frameworks for chatbots, summarisation etc Develop model deployement pipline using Lambda, ECS etcSkills & AttributesKnowledge of statistical programming languages like R, Python and database query languages like SQL and statistical tests like distributions, regression etc Experience in data visualization tools like tableau, QlikSense etc Ability to write comprehensive reports, with an analytical mind and inclination for problem-solving Exposure in advanced techniques like GenAI, neural networks, NLP, image and speech processing Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development and deployment

Dear Candidate, Below are the Job Details for Clinical SAS Programmer role at CBCC Global Research LLP. Candidate should have the exposure of SDTM, ADAM and TLF. Job Location : Ahmedabad At Office Position : 2 Experience: 2-5 years in CRO preferred / Pharma industry Qualification : M. Sc. Statistics/Any Science Graduate Mandatory experience in Clinical trials Responsibilities: Ensure consistently high quality outputs for reporting and submission- 1.1. Build SAS datasets from clinical database. 1.2. Develop SAS macros, templates and utilities for data cleaning and reporting. 1.3. Utilize SDTM guidelines to build datasets. 1.4. Communicate with an internal team to create deliverables for pharmaceutical and biotechnology clients. 1.5. Implement analyses specified in the protocol or the Statistical Analysis Plan (SAP) while working with the project statistician. 1.6. Ensure CRF meets the guidelines of the protocol and check for consistency and adequacy. 1.7. Write SAS programs to generate tables, listings, and figures and analysis datasets. 1.8. Review CRF annotations and data specifications. 1.9. Work in tandem with Biostatistics and Data Management member on various clinical projects. 1.10. Identify and edit checks per the data validation plan or data management plan. 1.11. Study management reports using SAS. 1.12. Validate the programmed analysis datasets, tables, listing and figures. 1.13. Perform analyses defined in the statistical analysis. 1.14. Prepare clinical and statistical summary reports. 1.15. Communicate with programming and statistics leads. 1.16. Utilize SAS programming skills within protocol team and perform all programming required for clinical trial analysis and reporting. 1.17. Perform quality control on final reports. 1.18. Develop SAS coding and table templates for preparing, processing and analyzing clinical data. 1.19. Establish monitoring of data transfers for ongoing trials to identify study conduct or data quality issues. 1.20. Provide input as required at all meetings, discussions and activities covering aspects of Statistical Reporting on project level activities. 1.21. As required, make certain that documents and specifications are consistent and comply with company standards for specifications of analysis datasets, listings, summaries, figures and tables for the clinical project 1.22. Program, according to specifications, analysis datasets, listings, tables, and figures for clinical projects and/or apply standard statistical methods to standardized PK study designs 1.23. Track milestones for project deliverables. 1.24. Maintain records for all assigned deliverables including archiving of project analysis and associated documentation. 1.25. Comply with pre-defined project / study standards and specifications. 1.26. Validate the programmed analysis datasets, tables, listing and figures. Utilize SAS programming skills within protocol team and perform all programming required for clinical trial analysis and reporting. 1.27. Develop SAS coding and table templates for preparing, processing and analysing clinical data. 1.28. Begins to develop a working knowledge of drug development and approval process 1.29. Other duties as assigned by reporting head or management Perks and Benefits Best in industry

As a Lead Statistician at Statistics & Data Corporation (SDC), you will apply your high level of technical expertise to guide and develop junior biostatistics staff members. You will serve as the lead statistician on clinical studies and provide senior-level peer review for work accomplished by other biostatisticians in the department. Your role will be crucial in maintaining the statistical and analytical integrity of clinical trials analyzed by SDC. Your responsibilities will include actively participating in various aspects of clinical studies such as writing statistical sections of protocols, preparing statistical analysis plans, interpreting analysis results, writing statistical sections of clinical study reports, and engaging in meetings with drug regulatory agencies when necessary. Additionally, you will support business development and project management by contributing to strategic planning, proposals, pricing, and timeline planning. Key responsibilities also include serving as an internal consultant for biostatistics analysis tools and methods, acting as a subject matter expert during client and vendor meetings, supporting business development in capabilities presentations, managing assigned clinical study budgets, coaching and mentoring junior staff, and serving as the lead statistician on clinical research projects. You will have the opportunity to provide statistical expertise for study design of clinical trial protocols, write statistical analysis plans, review CRFs for consistency with protocols, program summary tables and data listings, perform statistical QC of all department outputs, and provide statistical support to external clients. Moreover, you will contribute to the development, maintenance, and training of standard operating procedures and represent the biostatistics department at various meetings. To excel in this role, you must possess effective leadership skills, excellent analytical abilities, project management expertise, knowledge of statistical programming and SAS data manipulation, as well as strong communication and presentation skills. Your educational background should include a Master's degree in biostatistics, statistics, or a related scientific field, along with at least eight years of relevant professional experience. Joining our team at SDC means being part of a company that is committed to developing its employees, providing growth opportunities, career advancement, flexible work schedules, engaging work culture, and employee benefits. Our company culture values energy, integrity, engagement, innovation, ownership, and commitment. We offer a place of belonging with fun and engaging activities through SDC's culture club. With a proven track record since 2005, SDC continues to grow and innovate to support both client and employee needs. If you are looking to be a part of a dynamic team where your expertise in biostatistics can make a difference, consider joining Statistics & Data Corporation.,

In this vital role, you will be responsible for manipulating large databases and generating reports to partner with epidemiologists to explore and generate Real-World Evidence (RWE) from real-world healthcare data assets. The ideal candidate should possess a bachelor's degree and have at least six years of relevant career experience in statistical programming. Proficiency in SQL programming and either SAS or R programming is required. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities: - Provide technical solutions to programming problems within CfOR - Lead and develop technical programming and process improvement initiatives within CfOR - Represent the programming function and participate in multidisciplinary project team meetings - Project manage programming activities, according to agreed resource and timeline plans - Ensure programming activities adhere to departmental standards and SOPs - Write and/or review and approve programming plans - Write and/or review and approve analysis dataset specifications - Review and approve key study-related documents produced by other functions, e.g., SAPs, CRF, Data Management Plan, etc. - Write, test, validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications, and other communications - Write, test, validate and execute department-, product- and protocol-level macros and utilities - Oversee the work of outsourced resources assigned to projects - Lead and/or participate in the development and review of CfOR policies, SOPs, and other controlled documents - Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings - Participate in the recruitment of programming staff - Actively participate in external professional organizations, conferences, and/or meetings - Provide input to and participate in intra-departmental and CfOR meetings - Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) - Manage staff performance and oversee staff assignments and utilization - Relevant statistical programming, systems engineering, or application programming experience in a clinical development or life sciences setting What We Expect Of You: We are all different, yet we all use our unique contributions to serve patients. The professional we seek is someone with the following qualifications. Basic Qualifications: - Doctorate degree OR - Masters degree and 4 to 6 years of relevant experience OR - Bachelor's degree and 6 to 8 years of relevant experience OR - Diploma and 10 to 12 years of relevant experience Preferred Qualifications: - Managerial experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation of resources in statistical programming projects - Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model Experience: - Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials - Team management - Global collaboration - Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery - Statistical programming: SQL required; SAS or R required; Python preferred - Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies: - Hands-on programming and lead role - Expert statistical programming knowledge using SAS or R - Required: SAS or R - Required: SQL - Preferred: Python - Excellent verbal and written communication skills in English - Ability to have efficient exchanges with colleagues across geographical locations - Agile project management - Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare - OMOP common data model - Drug development life cycle - Statistics and basic epidemiology: Incidence and prevalence - Required for Regulatory RWE role: CDISC (SDTM, ADaM) - Scientific / technical excellence - Oral and written communication, documentation skills - Leadership - Innovation - Teamwork - Problem solving - Attention to detail What You Can Expect Of Us: As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com.,

Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics product creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics product creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments