• In-depth understanding of tumor oncology and rare disease, knowledge ofevolving therapeutic landscape, regulatory affairs, competitive scenarios; Breadth oftherapeutic modalities expertise and exposure to multiple therapeutic modalities,including small molecules and biologics drug • Evaluate, triage and cross-validate preclinical targets which are discovered viagenomic platform with mechanistic biology, chemistry, and disease models information.• Lead translational pharmacology activity of leveraging quantitative and model-basedapproaches (PK/PD, TK, biomarker) to support non-clinical development programs.Direct toxicology strategies to predict, assess and mitigate target/modality-related safety risks in small molecules and biologics drug discovery programs.• Manage CRO/CDMOs on technologies, set expectations and timelines, develop projectplans, apply fit-for-purpose platforms and technical approaches. Ensure that projectsare developed and validated according to regulatory guidance. Interact with regulatory agencies on preclinical matters. Write, review, edit preclinical reports for IND submissions including the section of pharmacology, biodistribution, immunogenicity and toxicology studies.

• In depth knowledge of AAV biology, oversee the strategy to maximize AAV therapeuticeffect though vector bioengineering for example, hybrid AAV serotype, ITR sequence,and helper plasmid transcript. Proficiency in gene editing technologies, such as CRISPR,TALEN, ZFN. Expertise in developing assays for optimizing and characterizing viral ornon-viral delivery platforms for in vivo gene editing.

Deep understanding and operational experience with various NGS platforms (NextSeq550 system, nanopore Minlon MK1C, Chromium Single Cell). Direct experience withdeveloping advanced multi-omics technology for example: methylation/bisulfitesequencing, Hi-C (genome-wide chromatin conformation capture), ATAC-seq, iCLIPseq,RNA-seq, ChIP-seq, Ribo-seq (ribosome sequencing).• Broad experience in the analysis, integration, and interpretation of large-scaleoncology and immunology data-driven projects.• Proficiency in R (tidyverse, Bioconductor), Shiny, and scripting languages (Python,Perl). Expertise with RStudio, git, Jupyter Notebooks and VScode.• Working knowledge and experience with public oncology resources including TCGA,ICGC, CCLE, DepMap, cBioPortal, dbGaP, etc.• Strong Linux/Unix skills in applying high performance computing for analysis of largeomics data sets. Familiar with the statistical principles behind best practices ingenomic and molecular data analysis.• Experience with high dimensional data mining through machine learning and artificialintelligence.

Brigham and Women's Hospital

Addenbrooke's Hospital,School of Clinical Medicine,University of Cambridge

Agence nationale de la recherche (ANR) and Institut national de la santé et de la recherche médicale (Inserm)