AI Drug Discovery Scientist

AI DRUG DISCOVERY SCIENTIST

Lantern Pharma is seeking talented and highly motivated AI Drug Discovery Scientists to develop innovative approaches supporting Lantern's internal drug development pipeline and externalpartnerships. You will work alongside cutting-edge teams in oncology drug development toaccelerate 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 morecost-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 andtherapeutic potential Analyze complex genomic contexts of cancer biological pathways to inform optimalMOA-indication matching strategies Evaluate chemical and structural features of molecules to support developmentalmodifications 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 Knowledge of protein engineering and conjugation chemistry that can be applied todevelopment of novel ADCs and other targeted modalities Build and maintain in silico molecule pipelines and infrastructure feeding AI/ML drugdiscovery 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 Knowledge of genomic and cancer pathway data sources with experience utilizing diverse public biomedical databases for drug response interrogation

PREFERRED QUALIFICATIONS:

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) and use of in-silico chemistry Experience with grant writing Team leadership or project management experience Familiarity with remote/distributed team collaboration Salary: Competitive stipend provided based on experience and hours of availability. Lantern provides multiple growth opportunities and as an early team member, your work will have a direct impact on precision oncology that can transform drug development. In addition to attractive compensation, we offer employees the opportunity for competitive health, dental & vision insurance, stock options in a public company, an opportunity to take leadership on new and meaningful projects, & involvement with leading conferences & industry trade shows. #J-18808-Ljbffr Gidget Foundation Australia