computational biologist scientist i

AboutAt WhiteLab Genomics, we believe that every patient deserves access to life-saving treatments. We won't rest until that belief becomes a reality.Driven by our commitment to transforming the future of healthcare, we've earned our place among the top innovators, includingY Combinator, French Tech 2030,andFuture 40 by Station F. We've also been recognized byThe Galien Foundationas a"Best Startup"in healthcare innovation and asManufacturing Tech Disruptor of the Year - 2024atAdvanced Therapy Awards: Phacilitatein the USA, among other accolades.We're committed to revolutionizing genomic medicine, delivering single-dose cures to millions with cancer and neurodegenerative and rare diseases worldwide.By integrating cutting-edge data science, computational biology, and structural biology to design genomic medicine vectors with unprecedented precision, we're advancing the frontiers of healthcare and addressing critical challenges with the highest stakes.If you're passionate about improving patient outcomes and the intersection of biology and technology, we'd love to meet youJoin us– together, we'll bring life-saving treatments to the people who need them most.Job DescriptionOurComputational Biology Teamplays a key role in developing prediction and optimization tools for payload design and manufacturing for gene and cell therapy. We analyze complex multi-omic datasets, particulary single-cell RNA-seq and DNA –based assays , to support our research efforts to improve drug design in gene and cell therapy. The Computational Biologist will actively participate to the development of WLG'sIn-silicotools, pipelines and models.As aComputational Biologist, here's how you will make an impact:You WillProvide bioinformatics analyses and contribute to the development of innovative approaches for various research and customer projects in collaboration with the other technical teamsDevelop and implement algorithms and statistical methods for the integration, visualization, and interpretation of complex biological datasets, with a strong focus on multi-omic dataParticipate and actively collaborate within cross-functional and cross-thematic projects, working under the supervision and guidance of project managersSupport the improvement, design and maintenance of in-house data analysis pipelines and contribute to the integration of new computational methodologies and best practicesAssist in the validation of machine learning solutions for vector and synthetic promoter designs, help advance WhiteLab Genomics' internal R&D platformsContribute to hypothesis generation and experimental design in computational biologySupport internal research projects to advance core scientific methodologies, focusing on the development of methods leveraging multi-omic data to optimize the design of DNA sequences used in cell and gene therapiesPresent your findings and discoveries with the WhiteLab Genomics teams, enhancing our collective knowledge and contributing to our overall successPreferred ExperienceWe're eager to meet you if youHold a recent PhD or Master's degree in bioinformatics, computational biology, biostatistics, or a related fieldHave 1–4 years of experience in biological data analysisPossess strong programming skills in Python or R, with familiarity using bioinformatics toolkits and libraries (e.g. Bioconductor, scikit-learn, Scanpy, Seurat)Are proficient in the analysis of multi-omic datasets, such as single-cell RNA-seq, ATAC-seq, and other NGS data typesHave a solid foundation in molecular biology and experience working with biological databases and reference resources (e.g., Ensembl, UniProt, NCBI).Demonstrate a strong understanding of statistical methods for analyzing biological dataCan communicate complex scientific concepts clearly with internal and external stakeholders and work effectively in a collaborative research environment.Nice to haveProficient in workflow management systems (e.g., Nextflow, Snakemake, Terra, Airflow) and containerization technologies (e.g., Docker, Singularity).Experience/knowledge in gene and cell therapyExperience in machine learning, deep learning methods and tools (e.g. TensorFlow, Keras)Experience working on cloud or HPC environments.Recruitment ProcessTeams with Sara & Dina Z (comp-bio team)Teams with Dina L (People & Culture team)Interview in person (comp-bio team + P&C)Additional InformationContract Type: Full-TimeLocation: ParisEducation Level: PhD and moreExperience: > 2 yearsPossible partial remote