• Lead end-to-end video production for enterprise learning initiatives • Apply advanced video editing, sound design, and motion graphics techniques to create polished, instructionally aligned learning assets • Design and develop complex interactive eLearning solutions • Independently determine technical approaches when requirements are evolving or not fully defined • Serve as the go-to expert in multimedia and digital learning development within L&D • Provide technical consultation and informal guidance to peers

• Help companies evolve their digital products through custom software, developer allocation, and dedicated teams. • Work on a challenging and strategic project in the financial sector. • Actively contribute ideas and innovative solutions.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an experienced Senior PK/PD Programmer to support pharmacokinetic (PK) and pharmacodynamic (PD) analyses across clinical development programs. This role is responsible for creating analysis datasets, generating tables/listings/figures (TLFs), supporting modeling activities, and ensuring high-quality deliverables for regulatory submissions. - Develop and validate PK/PD analysis datasets (ADaM, SDTM as applicable). - Generate Tables, Listings, and Figures (TLFs) for PK/PD studies. - Support population PK, exposure-response, and other modeling analyses. - Perform data cleaning and reconciliation between clinical and PK datasets. - Ensure compliance with CDISC standards (SDTM, ADaM). - Support pharmacometricians in NONMEM, Monolix, or similar modeling platforms. - Prepare analysis-ready datasets for modeling. - Assist with model diagnostics, simulations, and reporting outputs. - Create graphical outputs for clinical study reports and regulatory submissions. - Perform QC and validation of programming outputs. - Support regulatory submissions (IND, NDA, BLA, etc.). - Maintain documentation for programming activities. - Work closely with Clinical Pharmacology, Biostatistics, Data Management, and Medical Writing teams. - Participate in study team meetings and provide programming input. - Mentor junior programmers when needed. Qualifications - 5–8+ years of programming experience in clinical trials. - 3+ years of PK/PD programming experience. - Experience with NMPKPD and ER datasets. - Experience in Early-Stage Development studies. - Experience with R programming preferred. - Working knowledge of NONMEM, Monolix, Phoenix WinNonlin, or similar tools. - Experience with CDISC standards (SDTM, ADaM). - Strong data manipulation and visualization skills. Education - Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Life Sciences, or related field. The Application Process - Once you have submitted your CV, you will receive an acknowledgement that we received it. - If you have the requirements we need, you will be invited for phone interview as the first step. - Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Company Description ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.

• Create transparency, accountability, and financial discipline across Engineering • Enable engineering managers to understand the health of their services • Provide executives with clear operational and financial insights • Establish FinOps best practices to optimize cloud and infrastructure spend • Ensure engineering investments are measurable and aligned with business outcomes • Manage and grow a team of data-focused ICs (SQL, Python, BI) • Define and standardize engineering health metrics • Oversee the design and delivery of dashboards (Superset) • Ensure data quality, consistency, and trustworthiness • Lead cloud cost visibility and allocation initiatives • Implement cost attribution models across teams and services • Define cost KPIs per product, service, and environment • Drive cost optimization initiatives with engineering leaders • Establish budgeting, forecasting, and variance tracking processes • Partner with Finance to align engineering spend with company targets • Build a consistent framework for service reliability metrics, change velocity and delivery metrics, and incident impact tracking levels