* A brief description of the department and its structure - P&O Operations, of Payroll, H2R, T&A, Employment taxes and Learning & Talent at global scale * General role description o Co-design operational transformation with vendor, o Support team in alignment on approach of transition, requirements and documentation o Co-create operating handbook for project and for individual countries as part of transition o Document aligned processes and WI in central documentation repository o Understand KT scope, status and potential risks for each country o Provide guidance to Country SME in case of any questions Requirements * Daily Tasks - participate on the meetings, collect minutes, decisions and next steps, prepare appropriate project documentation, co-design processes and governance * Requirements: language, education, technical skills, software skills, soft skills, ideal previous experience - English, knowledge of H2R processes, strong technical savvy WD, SAP, SNOW, MS Office, MS Teams, Stakeholder management, good communication and change management skills, process design experience o Co-design operational transformation with vendor, o Support team in alignment on approach of transition, requirements and documentation o Co-create operating handbook for project and for individual countries as part of transition including but not limited to Process design work o Document aligned processes and WI in central documentation repository o Understand KT scope, status and potential risks for each country o Provide guidance to Country SME in case of any questions
[email protected] Essential: Experience using the R programming language (Bioconductor / Tidyverse / RShiny). Essential: Experience applying bioinformatics workflows and software to analyze and quality control RNA-seq datasets and other ‘omics data types Essential: Some knowledge of biological sciences, genetics & genomics. Essential: Clear communication to explain how and why an analytical method was used. Desirable: Experience with CUT&Tag datasets or deep molecular scanning (DMS) technologies Desirable: Experience processing clinical oncology datasets, including cfDNA datasets.