3 Rbqm Jobs

As a Statistical Modeller - Clinical, you will be responsible for utilizing your expertise in clinical trials and clinical data monitoring to develop and implement statistical models. Your role will involve working with Bayesian and Frequentist models, as well as handling EDC, CTMS, ePro, and eCOA systems. You will also be involved in RBQM, signal detection, KRI analysis, and outlier detection. In this position, a strong understanding of GCP ICH E6/8 and EMA Guidelines is essential. Proficiency in statistical software such as SAS, R, JMP Clinical, and Python will be required for data analysis and modelling. Experience with visualization tools like Tableau and Power BI will also be beneficial. Additionally, familiarity with project management tools like Jira and Confluence is necessary to collaborate effectively with cross-functional teams. An advanced knowledge of R, HTML, and GitHub will further support your role in this dynamic environment.,

ZS Life Science R&D Technologist in Clinical development ZS life science R&D team partners with client to discover and develop innovative medicines that improve patient's lives. Our work spans across consulting, analytics and technology (services and platforms) projects across the several domains. We have 3500+ zs professional that are delivering R&D programs, $100MM+ invested in R&D data, analytics and technology assets and 100+ clients on R&D programs. Our Clinical/Drug Development division displays a substantial history of contributing to numerous client projects with significant results in the drug development. The Drug Development R&D Technologists possess a deep understanding of technological solutions for clinical development processes including clinical study design, data management, analytics, and quality risk management platforms and products. They are well-versed in software related to clinical trial protocol design, electronic data capture (EDC), external data capture, data conformance, transformation, analysis, and reporting. Our team is well versed about industry standards such as CDISC, FHIR, OMOP, and their respective usage. Our team specializes in designing bespoke solutions or products implementation for clinical design, data management, and analytics systems. Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What Youll Do You will spearhead the design & implementation of various innovative solutions in the realms of clinical trial, data management, analytics and RBQM. As a solution leader, your role will involve strategizing, offering tech consultancy, conducting assessments, and overseeing technology projects as the solution leader. You will be engaging with clients to review clinical business processes, determining requirements, establishing user narratives, and delivering solutions that have significant impact. You will lead requirements gathering activities and collaborate with product owner to prioritize and groom the backlog to ensure appropriate level of detail is captured at the right time You will lead team who review and Author high-level user stories and develop related tasks, acceptance criteria and review test cases Your team will work closely with project teams in creating requirement Specifications, requirement traceability metrics , user guides and other project requirement documents You will plan and facilitate various requirement gathering, solution meetings and artefacts You will work on creating process flows based on client and internal project discussions You will work to perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Your team will act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules You will work in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community. What Youll Bring Bachelors degree in engineering / Pharma/ Bioinformatics / Medicine or related disciplines Masters degree in business analyst, Engineering or Science preferred. 8+ years of experience working within Life Science Domain as solution architect / business analyst / data analyst is required. Experience of working in any of Clinical trial design, data management, analytics and RBQM system development, product implementation and Integration like EDC (Rave, Veeva, InForm), Non-EDC(ePRO, LAB,eCOA) , clinical data repository (CDR SAS LSAF, Oracle LSH, eClinical elluminate ), Metadata Repository (MDR Nurocor, Sycamore, Formedix) , statistical computing environment (Domino, Sas Viya) system, CTMS, eTMF, CDMS is required. Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams Experience in driving requirements discussions, workshops and coordinating with internal and external stakeholders, across time zones, during the planning and delivery of technology projects is required Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Exposure to clinical data standards like CDISC (SDTM, ADaM), FHIR, HL7, USDM is required. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred. Additional Skills Strong client presence and ability to communicate verbally and in writing complex domain concepts to all audiences. Significant supervisory, coaching and hands-on project management skills. Ability to manage a virtual global team environment that contributes to the overall timely delivery of multiple projects. Willingness to travel to other global offices as needed to work with client or other internal project teams. In-silico, digital twin, and/or modeling experience.

What you will do Let's do this. Let's change the world. In this vital role you will be responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role is for a technical functional lead/developer with Clinical Risk Based Monitoring (RBM) / Risk Based Quality Management (RBQM) system implementation. The role involves working closely with product managers, designers, and other engineers to build high-quality, scalable software solutions. Roles & Responsibilities: Participate in technical discussions related to the RBSE system(s) within Clinical Trial Management, Monitoring, and Engagement (CTMME) product team. Build technical solution per implementation project plan by working with various members of the product team and business partners. Conduct user acceptance testing with the customer, including coordination of all feedback, resolution of issues, and acceptance of the study. Support requirements gathering and specification creation process for the development work. Communicate potential risks and contingency plans with project management to ensure process compliance with all regulatory and Amgen procedural requirements. Participate and contribute to process product or standard methodologies initiatives and support developers and testers during the project lifecycle. Define, author, and present various architecture footprints i.e. Business, Logical, Integration, Security, Infrastructure, etc. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Identify and resolve technical challenges/bugs effectively. Work closely with multi-functional teams, including product management, design, and QA, to deliver high-quality software on time. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master's degree with 4 - 6 years of experience in Computer Science Bachelor's degree with 6 - 8 years of experience in Computer Science Diploma with 10 - 12 years of experience in Computer Science Preferred Qualifications: Solid technical background, including understanding software development processes, databases, and cloud-based content systems. Experience with Python scripting, SQL queries, markup languages (XML, JSON) and familiarity with API-driven content delivery. Agile/Scrum experience with demonstrated success managing product backlogs and delivering iterative product improvements. Experience with product backlog management (e.g., Jira) and collaboration tools. Good-to-Have Skills: Experience with structured content management, content models, and modular content creation. Understanding of international pharmaceutical regulatory submission guidelines and processes (eCTD, ICH, CDS, USPI etc.) Basic understanding of GenAI solutions. Good communication skills, with the ability to convey complex technical concepts. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.