ML / Bioinformatics Scientist (liver toxicity)

Role: ML / Bioinformatics Scientist Location: Remote Duration: 12 Months Contract with a possibility for extension Need to support on PST Work Hrs. Pay Rate: $60-$65/Hr. W2 Key Responsibilities ● Data centralization and harmonization ● Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity. ● Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders. Qualifications: ● Educational Background: PhD degree in quantitative field ( e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) ● Experience: ○ Proven track record of working with statistical modeling techniques, including ML methods, is required ○ Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease is preferred ● Technical Skills: ○ Data Science & Programming: Expertise in Python/R for data manipulation, statistical analysis, and ML model building (required) ○ Multimodal Data & Modeling: Proven ability to work with diverse data types (omics, clinical, imaging) (required). ○ Knowledge of statistics and experience with survival analysis (required) ○ Domain & AI-specific Skills: Experience with NLP/LLMs for feature extraction from unstructured text, and a strong background in a neuroscience (preferred) ● Soft Skills: Excellent communication, collaboration, and problem-solving skills (required). ● Publications: Strong publication record and experience contributing to research communities. Apply tot his job