351 Sas Programming Jobs - Page 3

The Statistical Programmer at Level 2 reports to the Principal Statistical Programmer 3/ Lead, Statistical Programming (L4 (3) or M1), and is responsible for independently working on most of the Mapping activities (SDTM/Client specific mappings) of simple and medium complexity for the assigned clients in the given environment for standard domains. As a Statistical Programmer, your role includes understanding the clinical domain, mapping logic, and data issues, as well as learning the product/system/mechanism used for SDTM mapping. You should possess knowledge and skills in clinical domain, familiarity with CDISC Standards (SDTM Knowledge, ADaM, Submission package), SAS Programming (Experience up to 2 years), with Python Programming and R Programming being considered as added advantages. Additionally, good communication skills, a learning attitude, and being a good team player are essential for this role. The ideal candidate should have a Graduation in Pharmacy/Computer Science or any equivalent graduation from a reputed institute with a total experience between 2 - 4 years. Responsibilities of the role include the ability to pick up multiple tools/technologies on the job, import and export raw data, contribute to Mapping specifications, utilize SAS/R programming/Python programming skills for clinical trial study submissions, develop programs identifying data issues, and building CDISC/regulatory compliant datasets. Furthermore, you are expected to understand CRF annotations, check for consistency with raw data, debug custom functions/SAS Macros, fix issues, have a good understanding of clinical data and domain, follow Client Processes and SOPs, assist senior team members in quality control processes, assist with team metrics, communicate with internal teams to create deliverables for pharmaceutical and CRO clients, work in collaboration with Biostatistics and Data Management members on clinical projects, communicate with programming and statistics leads, and ensure compliance with company policies/SOPs. About Us: Saama automates key clinical development and commercialization processes with artificial intelligence (AI), Generative AI, and advanced-analytics, accelerating your time to market. Saama offers AI-backed SaaS solutions as well as product-based industry services and accelerators. Discover more at saama.com.,

The R&D Programmer III position at Teva Pharmaceuticals in Bangalore, India offers an exciting opportunity for a Senior Clinical Programmer to support clinical projects and regulatory submissions. As part of a global team dedicated to making good health more affordable and accessible, you will play a lead role in generating and validating analysis datasets, tables, listings, and figures. Your expertise in SAS programming will be crucial in developing global data standards, including SDTM, ADaM, and Teva's database structure. Your responsibilities will include working at the project level, providing input for budget planning, delivering assignments with quality and within timelines, overseeing contingent workers and/or vendors, and leading/co-leading clinical programming for studies or regulatory submissions. You will also be involved in developing, reviewing, documenting, and validating generic SAS macros, as well as initiating and leading new processes and methodologies to improve operational efficiency. To qualify for this role, you should have a Bachelor's Degree, Master's Degree, or PhD in Science, Statistics, Information Technology, or a related field, along with relevant work experience. Specifically, a Bachelor's Degree plus 3 years or a Master's Degree plus 2 years of experience is preferred. Additionally, experience in SDTM and ADaM, familiarity with CDISC Guidelines, and a commitment to Teva's Equal Employment Opportunity principles are essential. If you are passionate about making a difference in the pharmaceutical industry and eager to contribute your clinical programming expertise to a leading global manufacturer of generic medicines, we encourage you to apply for the R&D Programmer III position at Teva Pharmaceuticals today.,

Job Summary We are seeking a skilled SAS Developer to join our team. The ideal candidate will have extensive experience in Base SAS, SAS Data Integration (DI), Extract, Transform, Load (ETL) processes, SAS Visual Analytics (VA), SAS Administration, and SQL. This role involves developing, implementing, and maintaining data integration solutions, performing ETL processes, creating insightful visual analytics, managing the SAS environment, and ensuring seamless data operations. Key Responsibilities Develop and maintain programs using Base SAS for data manipulation, analysis, and reporting. Optimize SAS code for performance and efficiency. Debug and troubleshoot SAS programs to resolve issues. Develop and maintain data integration processes using SAS DI Studio. Design, implement, and optimize ETL processes to ensure efficient data flow and transformation. Perform data extraction from various sources, transformation to meet business requirements, and loading into target databases. Ensure data integrity and quality throughout the ETL process. Develop and maintain interactive reports and dashboards using SAS Visual Analytics. Collaborate with business users to gather requirements and translate them into effective visualizations. Optimize reports and dashboards for performance and usability. Provide training and support to end-users on SAS VA. Manage the SAS environment, including installation, configuration, and maintenance of SAS servers and applications. Monitor system performance, troubleshoot issues, and implement solutions to ensure high availability and performance. Perform regular backups, updates, and patches for SAS software. Manage user access, roles, and permissions within the SAS environment. Ensure compliance with data security policies and best practices. Write efficient SQL queries for data retrieval, manipulation, and analysis. Integrate SQL queries within SAS programs and ETL processes. Optimize SQL queries for performance and resource utilization. Collaborate with cross-functional teams to understand business requirements and develop data solutions. Provide technical support and troubleshooting for SAS-related issues. Document processes, standards, and best practices for SAS development and administration. Stay updated with the latest SAS tools, technologies, and industry trends. Qualifications BE, BTECH, MCA, MSC - STATS Minimum 6 to 8 years of experience as a SAS Developer or similar role. Proven experience with Base SAS, SAS Data Integration Studio, SAS Visual Analytics, SAS Administration, and SQL. Strong experience in designing and implementing ETL processes. Experience in working with large datasets and data warehouses. Proficiency in Base SAS programming and scripting. Knowledge of relational databases and strong SQL skills. Familiarity with data warehousing concepts and tools. Understanding of data visualization principles and best practices. Knowledge of SAS platform architecture and administration.

Overview: We are seeking a highly skilled SAS Administrator to join our team. The SAS Administrator will be responsible for the installation, configuration, maintenance, and support of SAS (Statistical Analysis System) software environments. This role requires a detail-oriented professional with strong technical expertise in SAS and a deep understanding of system performance optimization and data security. Key Responsibilities: Install, configure, and maintain SAS software, including SAS servers, clients, and third-party components. Configure and manage SAS metadata, user permissions, and authentication protocols. Monitor and optimize system performance, ensuring high availability and reliability. Perform routine maintenance tasks such as applying patches, updates, and hotfixes. Manage backup and recovery processes for SAS environments. Troubleshoot and resolve system-related issues promptly. Provide technical support to SAS users, including troubleshooting and resolving issues related to SAS applications and data. Develop and deliver training sessions and documentation for end-users and technical staff. Ensure that SAS environments comply with organizational security policies and standards. Implement and maintain data security measures to protect sensitive information. Conduct regular audits and assessments to identify and mitigate security vulnerabilities. Monitor system performance and resource usage, identifying and addressing potential bottlenecks. Optimize SAS processes and workflows to improve efficiency and performance. Collaborate with other IT teams to integrate SAS with other systems and applications. Work closely with data analysts, statisticians, and business users to understand their requirements and provide tailored solutions.

Job Summary: We are seeking a highly motivated and experienced SAS Governance and Compliance Consultant to join our team. In this role, you will be responsible for ensuring the effective implementation and ongoing management of our SAS environment using SAS Governance and Compliance (SAS GRC). You will play a key role in mitigating risks, maintaining compliance with regulations, and promoting best practices for data governance. Responsibilities: Develop and implement data governance policies and procedures to ensure data quality, integrity, and security. Create and enforce guidelines for data management and compliance with regulatory requirements. Monitor and ensure adherence to compliance standards, including GDPR other relevant regulations. Conduct regular audits and assessments to identify and mitigate compliance risks. Oversee data management practices to ensure data accuracy and reliability. Implement and maintain data security measures, including access controls and encryption. Collaborate with business and IT teams to align governance and compliance practices with organizational goals. Communicate effectively with stakeholders regarding governance policies, compliance status, and related issues. Provide training and support to users on data governance framework and compliance best practices. Develop and maintain documentation for governance and compliance procedures. Generate and review compliance and governance reports for internal and external stakeholders. Maintain detailed records of compliance activities, audits, and risk assessments. Qualifications: Graduation & above Minimum 2-4 years of experience Proven experience in implementing and using SAS Governance and Compliance. Strong understanding of data security principles and best practices. Excellent analytical and problem-solving skills. Effective communication and interpersonal skills. Ability to work independently and as part of a team.

Skills: Data Visualization, Statistical Analysis, SAS Programming, Machine Learning, Data Mining, Dashboard Development, Big Data Analytics, Predictive Modeling,. Company Overview. Lericon Informatics Pvt. Ltd. is a leading technology company highly regarded for building integrated solutions that simplify business operations. As a dedicated SAS Implementation Partner, we lead in innovation for Banking, Financial Services, and Insurance (BFSI). We empower financial institutions with transformative tools, leveraging data analytics, AI, and ML to address sector-specific challenges. At Lericon, we prioritize a client-centric approach and are committed to your success. Job Overview. We are looking for a skilled professional for the role of SAS Visual Analytics at Lericon Informatics Pvt. Ltd. This is a mid-level, full-time position based in Ahmedabad or Mumbai. The ideal candidate will have a maximum of 6 years of relevant work experience and will be proficient in data visualization, SAS programming, and dashboard development. Qualifications And Skills. Proficiency in data visualization techniques to present complex data in an understandable manner (Mandatory skill). Strong expertise in SAS programming for data manipulation and analysis (Mandatory skill). Experience in developing interactive dashboards using SAS Visual Analytics (Mandatory skill). Ability to conduct statistical analysis for finding trends and patterns in datasets. Knowledge in machine learning algorithms and their real-world applications. Familiarity with data mining processes to extract valuable insights from large data sets. Understanding of big data analytics to handle and analyze large volumes of data. Skills in predictive modeling to forecast future data points and behaviors. Roles And Responsibilities. Develop and maintain SAS Visual Analytics dashboards to support business operations and decision-making. Collaborate with cross-functional teams to understand data needs and provide actionable insights. Ensure data accuracy and integrity through thorough testing and validation. Implement statistical analysis and predictive modeling to derive meaningful business insights. Utilize machine learning techniques to automate data analysis processes. Participate in the continuous improvement of data analytics practices and methodologies. Assist in troubleshooting and resolving any issues related to data visualization and SAS programming. Stay updated with the latest trends and advancements in SAS technologies and data analytics

Responsibilities: Analyze SAS programs to understand sources, dependencies, data flow. Sanitize SAS programs in preparation for conversion. Optimize SAS programs in preparation for conversion. Incorporate changes in accelerator to ensure generated code aligns to required standards Utilize accelerator to convert SAS programs to PySpark programs. Demonstrate and document code lineage. Unit Test generated PySpark programs Incorporate feedback from PySpark EAP integration, SIT and parity-check. Prepare for deployment. Experience analyzing and understanding SAS processes and statistical methods to identify trends, patterns, and correlations. Proficiency in SAS programming and tools Developing and maintaining SAS programs for automation and analysis. Proven expertise in Spark, SQL, including data pipeline and notebook development. Troubleshooting user issues and resolving system errors. Managing SAS jobs and schedules and working with SAS metadata. Migration of SAS Jobs, Stored Procedures, SAS Programs, Reports, SAS Datasets, Excel, and CSV files from Development to Production Environment. Ensure compliance with data security, privacy regulations, and organizational standards. Qualifications: 4+ years of experience in SAS Base. Exposure to Python, PySpark Development and SQL knowledge is good to have. Experience in SAS Mainframe (Good to have). Strong understanding of data architecture, data modelling, and ETL/ELT processes. Experience with big data processing and distributed computing systems like Spark. Proficient in Python and Scala scripting for data manipulation and analysis. Excellent communication, collaboration, and problem-solving skills. Strong leadership and team-building abilities.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a Manager in Clinical Data & Technology within Life Sciences Consulting at EY, you will be part of our Life Sciences sector team, assisting clients in reimagining their clinical data strategies and implementing cutting-edge solutions across trial data capture, management, and analytics. You will play a strategic role in shaping next-generation clinical data landscapes. Your responsibilities will include driving consulting engagements around clinical data transformation, SDTM mapping, CDASH adoption, and standards harmonization. Additionally, you will lead client workshops, diagnostic assessments, and solution design initiatives focused on clinical data platforms. You will be responsible for translating regulatory and business needs into technology-enabled clinical data strategies and guiding clients on best practices in data governance, metadata management, and submission readiness. It is essential to stay current on emerging trends in digital trials, RWD/RWE, and AI in clinical data. To excel in this role, you must possess in-depth knowledge of clinical data management, CDISC standards (SDTM, ADaM, CDASH), and experience in implementing or advising on clinical systems (EDC, CTMS, eTMF, etc.). Consulting experience with client-facing roles in data/process transformation projects, as well as project and team leadership experience in global delivery contexts, are crucial skills. Additionally, having experience with clinical data warehouses, SAS programming, RAVE, or Medidata, familiarity with EMA/FDA guidance related to electronic records and submissions, and an understanding of data science or AI/ML in the context of clinical trial optimization are considered nice-to-have skills. Join EY in building a better working world, where diverse teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

The role of AVP, Analytics - H&W Platform at Synchrony is a key position within the India Analytics Hub (IAH) that focuses on supporting and growing the Health & Wellness platform business. As an individual contributor, you will collaborate with various functional teams to deliver strategic and scalable solutions, work on high-impact projects, and provide actionable insights that drive business growth. Your role will involve leveraging data, analytics, and insights to make informed decisions, solve complex business problems, and automate critical processes using advanced analytics and data science tools. Your responsibilities will include supporting Health & Wellness platform business stakeholders, deriving insights from data, leading projects with a focus on timely delivery and accuracy, contributing to internal initiatives, and demonstrating strong project management skills. You will be required to have a degree in Statistics, Mathematics, Economics, Engineering, or a related field with at least 4 years of hands-on experience in analytics/data science, or 6+ years of relevant experience without a degree. Proficiency in SQL/SAS programming, experience with Business Intelligence and Reporting tools like Tableau/Power BI, and a background in the credit card or financial services industry will be essential for this role. The ideal candidate will possess strong communication skills, the ability to lead analytics projects with senior stakeholders, and manage tasks effectively in a fast-paced environment. Additionally, you should have a proven track record of designing and leading strategic projects, along with the capability to work independently and as part of a broader team. Desired skills include superior thought leadership, innovative solutioning abilities, and a mindset focused on continuous improvement and discovery of new capabilities. This role offers Enhanced Flexibility and Choice in work hours, with availability required between 06:00 AM - 11:30 AM Eastern Time for meetings with India and US teams. Exceptions may apply based on business needs. Internal applicants should ensure they meet the eligibility criteria, inform their manager or HRM before applying, update their professional profile, and have an updated resume in Word or PDF format. Employees at grade/level 10 or above with 18 months in the organization and 12 months in their current role are eligible to apply. Join Synchrony's Analytics team and be part of a dynamic organization that values innovation, collaboration, and professional growth.,

The Quantitative Sr. Analyst role is a seasoned professional position where you will apply your in-depth disciplinary knowledge to contribute to the development of new techniques and enhance processes and workflow within the defined area. Your expertise will be essential in integrating subject matter and industry knowledge to drive the objectives of the function and overall business. You will evaluate moderately complex issues, weighing various alternatives and balancing conflicting situations using multiple sources of information. Strong analytical skills are required to filter, prioritize, and validate potentially dynamic material from various sources. Effective communication and diplomacy skills are also necessary as you will regularly assume informal/formal leadership roles within teams and be involved in coaching and training new recruits. Your responsibilities will include developing, enhancing, and validating risk measurement and analysis methods for all risk types, conducting statistical analysis for risk-related projects, and utilizing quantitative and qualitative data analysis methods such as SAS programming, SQL, and Visual Basic programming. You will prepare statistical and non-statistical data exploration, analyze and interpret data reports, and use predictive modeling methods to improve data evaluation. Additionally, you will automate data extraction tasks, design complex data manipulation processes, and assess risk factors when making business decisions while ensuring compliance with laws and regulations. To be successful in this role, you should have 5-8 years of experience, proficiency in Microsoft Office (especially MS Excel), clear written and verbal communication skills, self-motivation, attention to detail, project management skills, and the ability to handle multiple projects simultaneously. A Bachelor's/University degree or equivalent experience is required. This position falls under the Job Family Group of Risk Management, specifically in the Job Family of Risk Analytics, Modeling, and Validation. It is a full-time role. If you have a disability and require an accommodation to use our search tools or apply for a career opportunity, you can review the Accessibility at Citi. Please also refer to Citis EEO Policy Statement and the Know Your Rights poster for more information.,

The SAS Programmer will be responsible for providing SAS programming support for the Statistics and Data Management functions for all clinical trials and regulatory submissions. The candidate will work closely with Biostatisticians and Data Managers to create SAS programs for independently validating selected tables, listings, and figures and to assist with data cleaning and query generation. This position will also serve as a contact for programming activities being performed. Key Activities: Perform data manipulation techniques and advanced techniques (arrays, transpositions, complex merges, SQL, SDTM etc.) and generic macro use and development to enable listing, table, and graph generation. Involve in Statistical programming and validation of CDISC SDTM, Analysis Datasets (ADaM) and Tables, Listings, Graphs (TLGS) Analyze information and develop innovative solutions to programming and data analysis challenges. Efficiently produce quality results under time constraints. Successfully coordinate multiple priorities. Based on experience, serve as the statistical programming lead on internal project teams and coordinate programming, verification, and documentation of statistical programs for use in creating analysis datasets, tables, listings, and figures. Assist internal project team in identifying project priorities and communicating such activities and associated timelines to departmental management Work independently to carry out assignments with occasional support from senior management. Ensure the efficiency, quality, and integrity of data reporting and project activities executed. Represent the department in client meetings/presentation and maintain a positive working relationship with sponsors, collaborating associate and vendor personnel. Actively adapt and adjust priorities to ensure timely and quality completion of assigned tasks. Contribute to on-going improvement of programming processes and methodology. Perform other related duties as required by the Department. Coach and advice junior programmers to identify problems and solutions Ability to adapt and adjust to changing priorities Meet objectives as assigned, and interact with the project team to organize timelines, responsibilities, and deliverables. Ability to fulfill ad hoc requests and perform high level review on deliverables. Required Skills/ Experience: MSc in Biostatistics, Statistics, Computer Science, or related field 5-7 years of experience, to successfully perform the key responsibilities of the job Experience leading statistical programming activities in clinical research for 5 + years experienced candidates SAS Certified Candidates preferred Good understanding of Clinical Trials and the various terminologies Experience leading statistical programming activities in clinical research Previous experience in pharmaceutical research or CRO setting Work within a team environment under extremely tight deadlines, and finish all TLGs ahead of schedule, despite severe data issues requiring multiple re-extractions and reruns Knowledge of one or more statistical software packages (SAS preferred) used to perform statistical analyses Knowledge of CDISC services and hands on experience in developing SDTM datasets Good verbal and written communication Positive attitude and willingness to learn and contribute to a team setting Demonstrates ability to successfully lead a single project

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Platform Engineering Senior Engineer Location: Chennai Work Type: Hybrid Position Description: Overall 5+ years experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.) Programming proficiency in Python, SAS, or SQL (multiple languages advantageous) Advanced coding skills in R, Python, Java, or SQL System testing expertise: Proficiency with testing capabilities within decision management platforms STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Knowledge and understanding of analytical model development, credit bureau data, and financial services Knowledge of lending landscape and various in-house and outsourced systems, applications & services used by Decision Systems Strong analytical, problem-solving and organisational skills with attention to detail Ability to work and adapt in fast-changing environment with tight delivery timelines Ability to manage multiple large-scale projects Strong verbal and written communication skills Able to network and build strong relationships with internal and external peer groups Skills Required: R (Programming Language), Python, Sas (Software), SQL, Credit Scores, Credit Analysis, Financial Services Skills Preferred: Agile Software Development, CI/CD Experience Required: Overall 5+ years experience working with decision systems platforms (FICO systems, Provenir, SDS/PowerCurve, etc.) Programming proficiency in Python, SAS, or SQL (multiple languages advantageous) Advanced coding skills in R, Python, Java, or SQL System testing expertise: Proficiency with testing capabilities within decision management platforms STEM degree (Mathematics, Statistics, Computer Science, Engineering) or equivalent experience Knowledge and understanding of analytical model development, credit bureau data, and financial services Knowledge of lending landscape and various in-house and outsourced systems, applications & services used by Decision Systems Strong analytical, problem-solving and organisational skills with attention to detail Ability to work and adapt in fast-changing environment with tight delivery timelines Ability to manage multiple large-scale projects Strong verbal and written communication skills Able to network and build strong relationships with internal and external peer groups Experience Preferred: FICO systems experience strongly preferred Automotive finance or consumer lending background Experience with regulatory compliance requirements (FCA, PRA guidelines) Knowledge of the client's Credit or automotive manufacturer finance operations Previous experience transitioning from vendor-managed to in-house platforms Champion/challenger testing methodology experience Education Required: Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Experience SAS 9.4 (base and advance) • Experience in migration from SAS EG & SAS Viya: Location : Gurgoan Sal: 22lpa Exp : 6 -10 yrs share your profiles : sheetal.gighub@gmail.com

ORGANISATIONAL OVERVIEW Lambda Therapeutic Research is a Global full-service Clinical Research Organization (CRO) with its headquarters in Ahmedabad, India. With facilities and operations strategically located in Mehsana (India), Las Vegas (USA), Toronto (Canada), Barcelona (Spain), London (UK) and Warsaw (Poland), we offer comprehensive end-to-end clinical research services to the global innovator, biotech, and generic pharmaceutical industries. JOB DETAILS SAS Programming for CDISC deliverables (SDTM, ADaM, define.xml) SAS Programing for Data Analytics & TLFs Teamwork, Resource management training & quality improvisation steps EXPERIENCE Fresher cadidates with > 80% scores in SAS certificaitons or Up to 2 years of relevant AS Progrmaing experience EDUCATIONAL QUALIFICATION SAS Base / Advance certification with >80% scores M.Pharm. / M.Sc. / B.Pharm.

Job Details Position Title : Senior Analyst (Biostatistician) Experience : 5-10 Years Role : Fulltime / Permanent Location : Bangalore Work Mode: Hybrid Roles & Responsibilities : Generate statistical summary tables, patient data listings, and reports using SAS. Handle complex SAS programming issues , perform database and CRF review to ensure programming consistency, and be familiar with all study programming issues. Contribute to statistical analysis plans. Prepare template and programming for periodic progress reports for assigned clinical programs. Compile clinical data and relevant back-up material and present these results to the Biostatistics Manager for review. Work on SAS programs to generate data sets, tables, listings, and graphs. Work on SAS programs to complete quality control and validation work on SAS programs, data sets, and TLGs generated by others. Work on SAS programs to process and/or import external data into analysis data sets or export SAS output to other computer files for delivery. Work on SAS programs to create derived variables and data sets (e.g., LOCF (Last Observation Carry Forward), adverse events with multiple merging and cleaning procedures), or perform other required advanced data manipulation to support completion of biostatistics projects; SAS, SQL & Macro skills required. May be required to assist in other programming tasks using software other than SAS to support biostatistics or specialized data analysis requirements. Assist with documents to describe SAS programs as assigned, such as specifications for protocol analysis data sets. Perform group and departmental Quality Control (QC) procedures. Work on listings to support data cleaning and monitoring. Required Qualifications: Bachelor's Degree or equivalent in biostatistics, statistics, or related field The ideal candidate will have at least 5-8 years of experience in SAS programming and analysis of clinical trial data. Familiarity with clinical trial design and analysis issues. Experienced with electronic data capture (EDC) system(s). Preferred Qualifications: Medical device experience

Data analyst ,( Credit Risk ) SAS, python ,model validation B2/C1-Max 24 LPA - NP- immediate or 30 Days

Manage and maintain document structures in SAP in accordance with organizational standards and quality management systems. Handle and organize various document types including: o Product-related service documents o Process-related documents (e.g., Work Instructions, Training Documents) Support change management activities and coordinate new version releases to ensure that updated documents are properly made available in the system. Ensure accuracy and completeness of document configuration in SAP across all stages of the document lifecycle. Collaborate with key stakeholders such as: o Document Authors o Process Managers o Document Administrators o Training (Learn4U) Administrators Apply sound knowledge of Microsoft Word, including the use of macros for formatting and efficiency. Ensure proper version control, storage, and retrieval of documentation. Support audits and inspections by ensuring document readiness and compliance with applicable standards. Qualifications & Skills Bachelors degree or equivalent 2-3 years of experience in document management activities, preferably in a regulated industry. Strong working knowledge of SAP Document Management System (DMS). Proficiency in Microsoft Word, including experience with macros. Good understanding of the document control process and a general understanding of the quality mgmt. system Attention to detail Excellent organizational and communication skills. Ability to work independently and collaboratively within a team environment. Prior experience in the Healthcare or Medical Device domain is highly desirable.

Overview: We are seeking a highly skilled SAS Administrator to join our team. The SAS Administrator will be responsible for the installation, configuration, maintenance, and support of SAS (Statistical Analysis System) software environments. This role requires a detail-oriented professional with strong technical expertise in SAS and a deep understanding of system performance optimization and data security. Key Responsibilities: Install, configure, and maintain SAS software, including SAS servers, clients, and third-party components. Configure and manage SAS metadata, user permissions, and authentication protocols. Monitor and optimize system performance, ensuring high availability and reliability. Perform routine maintenance tasks such as applying patches, updates, and hotfixes. Manage backup and recovery processes for SAS environments. Troubleshoot and resolve system-related issues promptly. Provide technical support to SAS users, including troubleshooting and resolving issues related to SAS applications and data. Develop and deliver training sessions and documentation for end-users and technical staff. Ensure that SAS environments comply with organizational security policies and standards. Implement and maintain data security measures to protect sensitive information. Conduct regular audits and assessments to identify and mitigate security vulnerabilities. Monitor system performance and resource usage, identifying and addressing potential bottlenecks. Optimize SAS processes and workflows to improve efficiency and performance. Collaborate with other IT teams to integrate SAS with other systems and applications. Work closely with data analysts, statisticians, and business users to understand their requirements and provide tailored solutions.

- Tasks have been carried out independently and the status is communicated back to all relevant parties. - Ensuring that the electronic data generated is transferred to the customer as per the Data Specifications - Configure, QC, and Test Study EDT and obtain client sign off on approved DTS. - Ensure EDT is delivered in accordance with the required frequency and specifications. - Control the receipt and integration of partner or 3PL data, as per scope of study. - Perform data reconciliations within the context of the assigned team, [and service], as appropriate to ensure a clean data set. - Perform approved data cleaning functions in order to maintain a clean data set. - Adherence to all written and authorized SOPs and/or work instructions. - Understand data structures, e.g, CDISC, LOINC - Experience of SAS programming to produce derived analysis datasets. - Collaborate with internal departments to make sure data is collected, managed and reported clearly, accurately and securely. - Support client and internal audits. - Takes on mentoring newer Data Management team members.

Key Responsibilities: 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: 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.

Role & responsibilities Develop and maintain data formatter repository structure. Develop data formatter for data transfer per project specific data transfer plan (DTP). Develop data processing tools for data ingestion and data export. Develop test scripts to ensure correct functionality of the developed data management tools. Document code, procedures, tests used for data QC, clinical data integration, and data transfer operations. Develop data pipelines for integration with internal and external systems. Develop Data Transfer Plans in collaboration with the Software Engineering teams. Develop in a team environment with source code management. Performs other departmental and study-related activities as needed and upon request. Preferred candidate profile Requires an advanced degree (BS or MS (preferred)) in Statistics/Biostatistics/Computer Science/Engineering or equivalent. 5+ years of STATA/SAS/Python development experience (3+ years in industry). Knowledge of Data QC (Validity, Consistency, Completeness etc.), Data Cleansing (Syntax Error Detection, Duplicate Removal, Data Auditing) & Data Transformation. Knowledge of ETL toolkits, RDBMS, No SQL DBs (desirable but not essential). Ability to work with deadlines and manage multiple priorities. Perks and benefits Best In the Industry

Bachelors degree from reputable university preferably in science/ mathematics related fields Preferred SAS certification Technical Skills Requirements Must have expertise of SAS Base, and good knowledge of SAS graph and SAS Macros. Capable of implementing more advanced statistical procedures as per specifications provided by biostatistician. Must have excellent knowledge of CDISC standards (SDTM and ADaM) Thorough understanding of relational database components and theory. Excellent application development skills. Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of analysis results. Good understanding of ICH E6, ICH E3, ICH E8, ICH E9 and clinical research processes. Experience requirements Minimum of 8+ years of experience in Statistical Programming in pharmaceutical or medical devices industry Desirable requirements Good verbal and written communication skills. Ability to work on multiple projects, plan, organize and prioritize activities. Responsibilities At a minimum, following activities are required to be performed; Perform all responsibilities associated with the Senior Programmer role. Assist all the Sr. Programmers and Programmers in their day to day activities. Act as escalation point for Sr. Programmer and Programmer. Regularly communicates with the sponsor on the progress of programming aspects of the project and proactively anticipates issues and works with the sponsor on resolution of the problems Provide input and/or write the programming specifications Serve as subject matter expert on all aspects of SAS programming Understand pharmaceutical industry standards and trends and proactively plan, develop, and implement Develop consistent practices of clinical and statistical review of output and mentor programming staff Check for consistency across therapeutic areas Identify, plan, and oversee the implementation and success measures of all process improvement initiatives Maintain expertise in the use of the SAS Macros and determine macro development priorities Other responsibilities as defined on ad-hoc basis by senior management. Relationship & Interactions Clinical data manager Biostatisticians Medical Coders

About The Role Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAS Analytics Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with various stakeholders to gather and analyze requirements, creating design specifications, and ensuring that the applications align with business objectives. You will also engage in discussions with team members to refine designs and address any challenges that arise during the development process, ensuring that the final product meets the highest standards of quality and functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather and analyze requirements for application design.- Develop and document design specifications that align with business needs and technical requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAS Analytics.- Strong analytical skills to interpret complex data sets and derive actionable insights.- Experience in application design and development methodologies.- Familiarity with software development life cycle and project management principles.- Ability to communicate technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in SAS Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills

Minimum 8 years of experience in ETL development using SAS Data Integration Studio 4.9 ETL toolset . Skilled in various DI transformations including Look-up, Loop, Transpose, Sort, Append, Rank, List Data, Extract, Table Loader, Merger, Split, SQL, SCD Type 1 & Type 2 Loader, Data Validation, Creating Custom Transformations, Change Data Capture, managing indexes and constraints, using In-Database processing, verifying data quality settings, Importing SAS Code, Deploying & Scheduling Jobs, chaining jobs, metadata promotion Strong industry experience working in the data warehouse/BI arena including experience in data warehouse methodologies, including data management, data integration and analytics system architecture. Integrate and manage the data mappings from data sources to the Enterprise Data Warehouse using the SAS Data Management solution. Hands on experience in Base SAS, Advance SAS programming, SAS Macros, SQL and optimization techniques. Knowledge of SAS architecture. Good knowledge on Datawarehousing and ETL concepts Excellent SQL knowledge Has experience in client facing roles and be able to communicate with customers on a daily basis Good communication and inter personal skills