Kholoud Benali’s Post

🌟 Achieving Compliance in Clinical SAS Programming: Navigating Regulatory Challenges 🌟 In the dynamic world of clinical SAS programming, ensuring compliance with regulations is key to success. Here are some practical tips to navigate regulatory challenges: 1️⃣ Stay Updated: Regulations evolve, so staying informed is crucial. Regularly check updates from regulatory bodies like FDA, EMA, and ICH. 2️⃣ Documentation is Key: Maintain thorough documentation of your SAS code and processes. Clear documentation ensures transparency and traceability. 3️⃣ Validate Your Programs: Implement robust validation processes to ensure accuracy and reliability of your SAS programs. This is vital for regulatory audits. 4️⃣ Adopt Best Practices: Follow industry-accepted standards and best practices in SAS programming. This helps in achieving compliance and ensures quality. 5️⃣ Collaborate Effectively: Work closely with regulatory affairs and clinical teams. Collaboration ensures alignment and facilitates compliance efforts. 6️⃣ Continuous Improvement: Embrace a culture of continuous improvement. Regularly review and enhance your processes to meet evolving regulatory requirements. Navigating regulatory challenges in clinical SAS programming requires diligence and adherence to best practices. By doing so, you ensure not only compliance but also contribute to the overall success of clinical trials. 📊💡 Thanks, Follow Rahul Vaidya for more information. #ClinicalSAS #RegulatoryCompliance #ClinicalTrials #SASProgramming #HealthcareData

Mastering Data Quality and Compliance: An Insider’s Guide for SAS Programmers ==> Customized Checks: A Guide for SAS Programmers =>In the pursuit of data excellence, consistency across all departments is key. This approach guarantees a unified narrative at the subject level. ==>  SAS Programmers: Ensuring CDISC Compliance =>As SAS programmers, write compliance checks before confirming database lock and assuring CDISC compliance. Key checks, such as no duplicate record in DM or ADSL and no missing USUBJID in DM, are confirmed to assure a proper FDA submission. These checks are crucial in maintaining data quality and protocol compliance. ==>Statisticians: Powering Clinical and Statistical Significance =>Statisticians ensure that patient populations are correct and that primary and secondary endpoint criteria have been met. As SAS programmers, understanding this concept is crucial as it plays a significant role in organizing and analyzing studies, minimizing missing values, and ensuring sufficient power to achieve clinical and statistical significance. ==> And Finally to my Fellow SAS Programmers => Together, let’s strive to assure the correct interpretation of clinical results and uphold the highest standards of data quality and compliance. Remember, our role as SAS programmers is not just about writing code, but also about understanding the bigger picture and contributing to the overall success of our clinical trials. #DataQuality #ClinicalDataManagement #ProtocolCompliance #SASProgramming #DataQuality #ClinicalDataManagement #ProtocolCompliance #SASProgramming #DataConsistency #SiteManagement #DataManagement #StatisticalSignificance #ClinicalTrials #FDACompliance #CDISCCompliance #EndpointCriteria #PatientFollowUps #DatabaseLock #ClinicalResults

!!Urgent Hiring!!           One of our Clients is hiring for Consultant LIMS – R&D IT. Interested Candidate can share their resume via email or WhatsApp             WhatsApp @ 9445911058 Email: [email protected]                                                #job #career #hiring #jobsearch #jobopening #nowhiring #chennaijobs #chennaijobseekers #lims #computerengineering #electricalengineering #lims #scriptinglanguage #python #bash #perl #ruby

SAS ecosystem: SAS Developer Vs Clinical SAS Programmer! SAS Developer: Focus Area: General-purpose programming using SAS software. This role involves developing applications, managing databases, and performing data analysis across various industries, not limited to healthcare or clinical research. Skills Required: Strong programming skills in SAS, understanding of data structures, and ability to develop efficient algorithms. Knowledge of SQL and database management is also beneficial. Responsibilities: Creating and maintaining SAS programs for data processing, analysis, and reporting; optimizing performance; and ensuring data integrity and security. Examples: Developing a web application for data visualization using SAS Visual Analytics, creating a data cleaning script for large datasets, or automating report generation processes. Clinical SAS Programmer: Focus Area: Specialized in the healthcare industry, focusing on clinical trials and medical research. They work closely with biostatisticians and researchers to analyze clinical trial data, manage databases, and ensure compliance with regulatory standards. Skills Required: Proficiency in SAS programming, particularly with SDTM (Standard Data Tabulation Model), DM (Data Management) specifications, and ADaM (Analysis Dataset Model); strong understanding of clinical trial design and biostatistics; and familiarity with regulatory requirements (e.g., FDA guidelines). Responsibilities: Managing and manipulating clinical trial data according to SDTM and DM standards; conducting analyses to support study objectives; generating reports for submission to regulatory authorities; and collaborating with cross-functional teams to ensure study success. Examples: Preparing data for submission to a clinical trial database following SDTM standards, analyzing patient outcomes in a clinical trial, or generating a comprehensive report for a drug efficacy study. #sasprogramming #learningisfun #letstalktech

🌟 Unlocking Success in Clinical SAS Programming! 🌟 🔍 Searching for the secrets to excel in a Clinical SAS Programming role? Here are some key ingredients to thrive in this dynamic field: 1️⃣ Master Your SAS Skills: Continuously enhance your proficiency in SAS programming. Stay updated with the latest techniques, procedures, and best practices in clinical data analysis. 2️⃣ Understand Regulatory Guidelines: Familiarize yourself with regulatory guidelines such as ICH-GCP, CDISC standards, and FDA requirements. Compliance is crucial in ensuring the integrity and quality of clinical trial data. 3️⃣ Attention to Detail: Precision is paramount in clinical SAS programming. Pay meticulous attention to data accuracy, consistency, and completeness to facilitate reliable analysis and reporting. 4️⃣ Effective Communication: Clear communication is key when collaborating with cross-functional teams. Translate complex technical concepts into understandable insights for non-technical stakeholders. 5️⃣ Problem-Solving Skills: Develop a knack for problem-solving. Be proactive in identifying issues, troubleshooting errors, and proposing innovative solutions to streamline processes. 6️⃣ Adaptability: Embrace change and be adaptable in a fast-paced environment. Clinical trials evolve rapidly, requiring flexibility to accommodate shifting priorities and timelines. 7️⃣ Continuous Learning: Stay curious and committed to lifelong learning. Engage in professional development opportunities, attend workshops, and pursue certifications to stay ahead of industry trends. 8️⃣ Attention to Compliance: Ensure adherence to data privacy and security regulations such as HIPAA and GDPR. Uphold ethical standards to protect patient confidentiality and data integrity. 9️⃣ Team Collaboration: Foster a collaborative spirit and actively contribute to team success. Share knowledge, support colleagues, and leverage collective expertise to deliver exceptional results. 🚀 Ready to elevate your career in Clinical SAS Programming? By embracing these principles, you'll pave the way for success and make a meaningful impact in advancing healthcare through data-driven insights. #ClinicalSAS #DataAnalysis #HealthcareAnalytics #CareerTips

Hi, Hope you are doing great!! This is Gulam from Pivotal Leap, we have a position for you. Please check the Job Description and if you are interested Please mail me.   Position: Informatica ETL Developer Location: 701 W. 51st St. Austin, TX 78751 - Hybrid Duration: 12 months Visa: All Interview Mode: Video   Job Description     I. DESCRIPTION OF SERVICES Texas Health and Human Services Commission requires the services of 1 Systems Analyst 3, hereafter referred to as Candidate(s), who meets the general qualifications of Systems Analyst 3, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission.   All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Health and Human Services Commission and may include pre[1]selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).   Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system     The Department of Information Resources (DIR) requires the services of a Lead Data Engineer hereafter referred to as Worker, who meets the general qualification of Systems Analyst 3, Emerging Technologies and the specifications outlined in this document for Health and Human Services Commission (HHSC) Information Technology   All work products resulting from the project shall be considered “works made for hire” and are the property of the HHSC. HHSC may include pre-selection requirements that Thanks and Regards, MD. Gulam Shahwaz Pivotal Leap Email: [email protected]

*****TOP Priority***** Role: PL/SQL Developer Location: Remote ( Candidate should be local to California ) Experience : 6 to 10 years (any visa) Key Responsibilities Proficient in writing PL/SQL Stored Procedures, Functions, Cursors, Triggers and Packages Created Tables, Views, Constraints Created Shell Scripts for invoking SQL scripts. Data Collection: Gather and consolidate data from various sources, ensuring accuracy and reliability of data sets. Data Analysis: Perform thorough data analysis using statistical techniques and data manipulation tools to uncover trends, patterns, and insights. Data Visualization: Create clear and insightful visualizations, such as charts, graphs, and dashboards, to effectively communicate findings to stakeholders. Reporting: Generate regular and ad-hoc reports that provide actionable insights to support decision-making at different levels of the organization Predictive Modeling: Develop and apply predictive models to forecast trends, identify opportunities, and mitigate potential risks. Data Cleansing: Clean and preprocess data to ensure data integrity and accuracy before analysis. Collaboration: Work closely with cross-functional teams to understand business requirements and contribute data-driven insights to support their initiatives. Business Impact: Translate data insights into actionable recommendations that drive improvements in processes, strategies, and performance. Continuous Improvement: Stay up to date with industry trends and best practices in data analysis and incorporate them into daily work. Data Governance: Ensure data compliance and adherence to data privacy regulations in all analysis and reporting.

Ever run an SQL job only to have it grind to a halt due to locked tables? Specially when we are working on Projects where we need to access prod environment during times. This can be a major headache, especially when it leads to job failures. Locking mechanisms ensure data integrity in a multi-user environment. While essential, they can cause concurrency issues if not managed properly. 🚀Here are some tips to prevent locked tables from derailing your SQL jobs: ⭐Identify Lock Owners :- Use AD accounts to access these tables hence letting admin know whom to contact if a particular tables get locked. Using generic accounts leads to confusion on who is actually using or accessing the tables. ⭐Have QA updated :- Having an updated QA can help developers access these tables without going to the prod. Even if these things happen , make sure you are on top of it, viewing each locks carefully if it happens and killing such sessions. #sqlserver #dataanalysis #dataanalyst #powerbideveloper #dashboarding #bideveloper

So, you're curious about what SQL developers do? Read further!  Their responsibilities are the backbone of the data world, ensuring everything runs smoothly and efficiently. 🟢 Data Architects & Builders: 👉 Design and develop database components like schemas, views and scripts. 👉 Craft stored procedures, triggers and functions to automate tasks. 👉 Optimise complex queries for peak performance. 🟣 Data Guardians: 👉 Analyse and maintain existing databases, ensuring data integrity and accuracy. 👉 Implement security measures to protect sensitive information. 👉 Back up and recover data in case of unforeseen circumstances. 🟠 Team Players & Problem Solvers: 👉 Collaborate with developers, analysts and managers to understand data needs. 👉 Troubleshoot issues and identify performance bottlenecks. 👉 Proactively anticipate and manage data migration challenges. Want to know more? Share your questions about SQL developers in the comments! #sqldeveloper #data #database #developer #career #upspir

#Hiring SAS Fraud Management Developer #sas #fraudmanagement #sasdeveloper #sasprogrammer share resume at [email protected] ONSITE (Riverside, Illinois) If candidate is stellar, may be able to negotiate with client on remote. Top 3 Must Have's: 1. SAS Fraud management – more back end developer 2. JAVA 3. Unix Shell Scripting JD from HM: SAS Fraud Management Programming and Development: Develop, optimize, and maintain SAS programs and scripts for data extraction, transformation, and analysis. SAS Backend developer who can able to implement the software installations, understand different component of SAS FM, and how they work with each other. Java experience Unix shell scripting experience. Convert existing SAS FM code into SAS Visual Analytics reports and dashboards. Data Manipulation and Transformation: Perform data cleansing, transformation, and integration to prepare data for analysis. Connect to new data sources and maintain data integrity. Analytics and Insights: Implement statistical and predictive models using SAS to derive insights and solve complex business problems. Create informative and interactive data visualizations using SAS or similar tools. Collaboration and Documentation: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their requirements and provide analytical solutions. Document SAS code, processes, and methodologies to ensure reproducibility and knowledge sharing within the team. Performance Optimization and Quality Assurance: Identify opportunities to optimize code and processes for efficiency and scalability. Conduct quality checks and testing to ensure data accuracy and model reliability. Compliance and Security: Adhere to data privacy and security guidelines while handling sensitive information.