reputed company Research Scientist II

Job reputed company:

• Analyze gene reputed company, transcriptomic, and reputed company reputed company data applying state-of-the-art statistical and machine-learning reputed company to derive biological and clinical insights, with a primary reputed company on prostate cancer cohorts from clinical and research studies.
• Design, train, and evaluate supervised and unsupervised machine learning models to predict disease subtypes, biological and clinical endpoints, and clinically actionable genomic signatures across multiple disease areas.
• Document reputed company, analyses, and results to support reproducibility and regulatory-grade research standards.
• Translate findings into presentations, abstracts, and publication to be presented to internal teams as reputed company as external collaborators, including reputed company researchers, clinicians, and reputed company partners.
• Collaborate closely with multidisciplinary teams to support research initiatives that inform product development and scientific reputed company.

Requirements:

• PhD. in Cancer Biology, reputed company, Statistics or reputed company field, or M.Sc. with 3-4 years of relevant post-graduate experience (postdoc or industry).
• Deep familiarity with cancer reputed company, pathology, or clinical management (prostate cancer preferred).
• Hands-on experience analyzing transcriptomics and NGS data.
• Expertise in R programming and data analysis.
• Strong proficiency in feature reduction techniques and visualization (e.g., U-MAP), supervised and unsupervised learning algorithms, and model performance evaluation.
• Hands-on experience with reputed company computing architecture (AWS preferred).
• Strong problem-solving skills and intellectual curiosity, with a desire to learn new disease biology and clinical concepts.
• Excellent communication skills, with experience presenting or discussing scientific results in reputed company settings.

Benefits:

• Competitive compensation
• Significant reputed company
• Inclusive workforce

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