We are seeking talented and highly motivated AI Drug Discovery Scientists to develop innovative approaches supporting Lantern's internal drug development pipeline and external partnerships. You will work alongside cutting-edge teams in oncology drug development to accelerate the path from target to therapy. The ideal candidate will bring innovative thinking to shift paradigms in drug discovery and development, with passion for matching right drugs to right indications faster and more cost-effectively. RESPONSIBILITIES: Contribute to expanding, selecting, and appropriately applying datasets and AI/ML tools, integrating public and proprietary preclinical and clinical results to understand MOA and therapeutic potential Analyze complex genomic contexts of cancer biological pathways to inform optimal MOA-indication matching strategies Investigate relationships between MOA, therapeutic potential, and cancer genomics to identify biomarkers enhancing molecular selectivity Evaluate chemical and structural features of molecules to support developmental modifications for NCEs with improved PK and efficacy Uncover therapeutic potential of existing molecules using AI-driven analysis of drug response pathway interactions Extract actionable insights from preclinical internal and external data sources to guide optimal combinatorial strategies Apply AI methodologies for novel targeting of cancer drugs including ADCs and other targeted modalities Build and maintain in silico molecule pipelines and infrastructure feeding AI/ML drug discovery bench projects Collaborate with clinical and preclinical research teams to support proof-of-concept study designs Contribute to scientific publications and grant applications REQUIRED QUALIFICATIONS: 3+ years of experience working in AI-directed drug development environments Ph.D. in Computational Biology, Bioinformatics, Computational Chemistry, Cancer Biology, or related field (Bachelor’s or Master’s degree with exceptional experience will also be considered) Publication record in AI-based drug development Demonstrated skills in matching ML-based in silico discovery of cancer drug response pathways and biomarkers to biological relevance Working knowledge of deciphering MOA from complex genomic studies (CRISPR analysis, genetic screens) and utilizing AI for drug development strategy Knowledge of genomic and cancer pathway data sources with experience utilizing diverse public biomedical databases for drug response interrogation Experience in drug candidate prioritization within biopharmaceutical settings Strong communication skills for preparing and presenting scientific data to diverse audiences Proficiency in programming languages (Python, R, or similar) PREFERRED QUALIFICATIONS: Experience with grant writing Team leadership or project management experience Familiarity with remote/distributed team collaboration Job Type: Full-time Work Location: In person
As an AI Drug Discovery Scientist at our company, you will play a crucial role in developing innovative approaches to support our internal drug development pipeline and external partnerships in the field of oncology drug development. Your primary focus will be on accelerating the path from target identification to therapy through the application of cutting-edge AI and ML tools. **Key Responsibilities:** - Expand, select, and apply datasets and AI/ML tools to integrate preclinical and clinical data for understanding mechanisms of action (MOA) and therapeutic potential - Analyze genomic contexts of cancer pathways to optimize MOA-indication matching - Identify biomarkers that enhance molecular selectivity by evaluating relationships between MOA, therapeutic potential, and cancer genomics - Evaluate molecular features to support modifications for new chemical entities (NCEs) with improved pharmacokinetics (PK) and efficacy - Utilize AI-driven analysis to uncover the therapeutic potential of existing molecules and guide combinatorial strategies - Extract actionable insights from preclinical data to inform drug discovery strategies - Apply AI methodologies for novel targeting of cancer drugs, including antibody-drug conjugates (ADCs) and other targeted modalities - Build and maintain in silico molecule pipelines to support AI/ML drug discovery projects - Collaborate with research teams to design proof-of-concept studies and contribute to scientific publications and grant applications **Qualifications Required:** - 3+ years of experience in AI-directed drug development environments - Ph.D. in Computational Biology, Bioinformatics, Computational Chemistry, Cancer Biology, or related field (consideration for exceptional experience with Bachelor's or Master's degree) - Publication record in AI-based drug development - Skills in ML-based in silico discovery of cancer drug response pathways and biomarkers - Knowledge of deciphering MOA from complex genomic studies and utilizing AI for drug development strategy - Familiarity with genomic and cancer pathway data sources and experience in drug candidate prioritization - Strong communication skills for presenting scientific data - Proficiency in programming languages such as Python, R, or similar **Additional Company Information:** - Job Type: Full-time - Work Location: In person Apply now to be part of our dynamic team driving innovation in AI drug discovery for oncology drug development.,