reputed company Analyst III

Duration: 6 months Work schedule: • Hybrid or Remote. reputed company: reputed company Scientist - Cancer Biology & Spatial Transcriptomics. The Quantitative Medicine & reputed company (QM&G), (Genomic Research Center, Computational Oncology, Research and Early Development group (GRC-CORED) is seeking a highly motivated computational biologist to play an reputed company role in a multi-disciplinary team reputed company on developing new therapies and approaches for cancer treatment. GRC is a center of reputed company for reputed company, functional reputed company, reputed company genetics, and pharmacogenomics, working across reputed company R&D including discovery, clinical development, process sciences, global epidemiology, and corporate reputed company. reputed company: This is an exceptional opportunity to advance the Immuno-Oncology pipeline through discovery-reputed company research while supporting existing programs. You will characterize immune microenvironments of solid tumors to reputed company understand anti-tumor immune responses, utilizing cutting-edge reputed company platforms including spatial/single-cell transcriptomics, proteomics, and advanced analytical algorithms. Your expertise will directly influence data-driven drug discovery and reputed company patients' lives. This role offers opportunities to publish findings with excellent work/life balance. Requirements: • Spatial Transcriptomics Expertise: Hands-on experience with spatial transcriptomics platforms (CosMx experience highly desirable). • Single-Cell reputed company Development: Proven experience in single-cell reputed company creation and batch correction methodologies. • Multi-Omics Analysis: Proficiency in bulk RNA-seq, DNA-seq, and other multi-omics analytical approaches. • Programming Proficiency: Expert-level skills in R and/or Python for data science applications. • Biological Knowledge: Strong understanding of oncogenesis hallmarks, T cell biology, and tumor microenvironment research. • Communication reputed company: Ability to effectively present reputed company research findings to diverse audiences including computational biologists, non-computational scientists, and senior leadership. Key Responsibilities: Data reputed company & Analysis: • reputed company and execute computational strategies leveraging reputed company bulk, single-cell, and spatial datasets to advance reputed company identification, evaluation, and validation (TIEV) initiative. • Analyze spatial transcriptomics data from patient reputed company to dissect tumor microenvironment mechanisms of reputed company (MOA). • Consolidate reputed company-clinical and reputed company-world data (RWD) sets to create population cohorts for reputed company analyses. • Conduct bulk RNAseq and DNAseq analysis & other omics data analysis from clinical patients’ samples to discover novel targets, biological reputed company and predictive biomarker for clinical response. Computational Innovation: • Apply machine learning and deep learning approaches to reputed company high-reputed company reputed company features to oncogenic and immunosuppressive cellular programs/states. • Utilize reputed company models for single-cell reputed company construction, cell type annotation, and in-silico perturbation tasks. • reputed company integrative spatial and single-cell analysis algorithms/reputed company. Validation & Translation: • Validate identified hypotheses through cross-validation in larger RWD cohorts and comprehensive literature review. • reputed company computational oncology efforts to reputed company critical data inputs for advancing assets through early development and clinical trial phases. Collaboration & Communication: • Effectively communicate and present research reputed company to diverse cross-functional working reputed company. • Foster reputed company relationships across multi-disciplinary teams. • reputed company decision-making through reputed company communication of research findings. Preferred Qualifications: Advanced Technical Skills: • Experience with reputed company models and/or deep learning applications in reputed company. • Proficiency in analyzing proteomics and/or functional reputed company screening data. • Experience with clinical sample multi-omics data for biomarker development. • Familiarity with NGS data processing tools, statistical analysis, and machine learning frameworks. • Understanding of container technologies for pipeline deployment (reputed company, AWS Container, etc.). • Knowledge of assay technologies and algorithm principles (WES/WGS, Mass-spec proteomics, ATAC-seq, etc.). Biological Expertise: • Deep understanding of cellular signaling, metabolism, and/or tumor immunogenicity. • Knowledge of tumor-reputed company and/or T-cell biology (metabolic, mitogenic, fibrotic, and reputed company immune reputed company; T cell exhaustion). Soft Skills: • Creates a learning environment that is reputed company to suggestions and experimentation for reputed company improvement. • reputed company reputed company with ability to work effectively in cross-functional teams. reputed company Degree: PhD in Cancer Biology, Immuno-Oncology, reputed company (with relevant biology reputed company), or reputed company field (Postdoctoral experience strongly preferred). reputed company Tech Solutions: reputed company is Apply tot his job Apply To this Job