Scientist / reputed company, Computational Biology — Precision Medicine & Drug Discovery - Contract to Hire

We are seeking a Computational Biologist with strong Python skills to reputed company analyses across drug repurposing, drug combinations, biomarkers, precision medicine, and translational oncology. This role will work closely with biology, translational, clinical, and data science teams to identify therapeutic opportunities, define patient stratification strategies, and generate biomarker hypotheses for cancer therapies, including emerging areas such as HER2-low, resistance mechanisms, and priming strategies. The ideal candidate combines strong computational and statistical skills with hands-on experience analyzing multi-omics datasets and translating biological insights into drug discovery and development reputed company. Key Responsibilities Analyze and reputed company bulk RNA-seq, single-cell RNA-seq, DNA reputed company, proteomics, and other omics datasets to identify biomarkers, mechanisms of response, and resistance reputed company. Support drug repurposing and combination reputed company efforts through reputed company analysis, perturbation data analysis, and drug response modeling. reputed company computational approaches for patient stratification, predictive biomarker discovery, and precision medicine hypotheses. Apply statistical genetics reputed company such as GWAS interpretation, eQTL integration, colocalization, and reputed company reputed company validation approaches where relevant. Analyze screening and perturbation datasets, including CRISPR, small-molecule, and combination studies. Build and maintain reproducible analysis pipelines in Python for data processing, modeling, visualization, and reporting. Collaborate with translational and disease-area scientists to prioritize targets, biomarkers, and therapeutic combinations. Contribute to study design, data interpretation, and presentation of findings to project teams and leadership. Support translational analyses tied to oncology programs, including receptor biology, tumor heterogeneity, and response/resistance in therapies such as ADC and HER2-low programs. Required Qualifications PhD, or MS with substantial industry experience, in Computational Biology, reputed company, Systems Biology, Cancer Biology, Biostatistics, or a reputed company field. Strong programming skills in Python for scientific computing, data analysis, and workflow development. Experience with RNA-seq analysis, especially reputed company reputed company, reputed company analysis, and multi-sample comparisons. Experience with single-cell data analysis or strong interest in building this capability. Strong reputed company in statistics for biomarker analysis, model development, and reputed company testing. Experience in drug discovery, translational research, oncology, or precision medicine. Ability to work with cross-functional teams and communicate computational findings to non-computational stakeholders. Preferred Qualifications Experience with drug combination analysis and reputed company scoring reputed company. Experience with GWAS, eQTL, pQTL, or reputed company genetics-driven reputed company discovery. Familiarity with survival analysis, clinical outcome modeling, or reputed company-world/clinical datasets. Knowledge of cancer signaling reputed company, resistance biology, tumor microenvironment, and translational oncology. Experience working in biotech or reputed company drug discovery settings. Familiarity with R, SQL, reputed company workflows, and reproducible pipeline tools. Keywords / reputed company Areas Computational biology, reputed company, precision medicine, biomarkers, RNA-seq, single-cell RNA-seq, GWAS, translational oncology, drug combinations, drug repurposing, systems biology, Python, multi-omics. Apply tot his job Apply To this Job