Atomic AI, Inc. is a well-funded, early-stage biotech company transforming the rational design of molecules and medicines through the cutting-edge fusion of artificial intelligence and structural biology. Atomic’s unique R&D platform, based on research featured on the cover of Science (doi.org/10.1126/science.abe5650), provides new strategies to treat or cure previously undruggable diseases by targeting RNA structure. We are an interdisciplinary team working across computational and experimental biology and believe that our strongest asset is our people.

Responsibilities

  • Execute and oversee a diverse range of activities including target ID and validation, target prioritization and the development of cell-based assays for small molecule lead optimization and mechanism of action studies. 
  • Manage preclinical oncology programs, directly contributing towards program planning, design of experiments, data interpretation, SAR analysis, and program progression.
  • Design and implement biomarker assays, cellular functional assays, and establish PK/PD efficacy relationships in relevant cancer in vivo models with strong background in various xenograft and translational models.
  • Work collaboratively with Atomic AI’s chemistry, biology, AI/ML teams and CRO partners to advance lead asset programs.
  • Lead projects, providing key insights into experimental design.
  • Interpret, summarize, and present research findings to multidisciplinary project teams.
  • Proactively review literature for latest scientific findings, ideas, and methods/technologies. 

Qualifications 

  • Ph.D. in Cell & Molecular Biology, Cancer Biology, or related field with strong expertise in drug discovery and development, with emphasis on oncology programs.
  • 5+ years’ experience in the pharma/biotech industry, with significant experience leading oncology programs through discovery and IND filing.
  • Strong background in novel target identification and progressing nominated targets to drug discovery projects.
  • In-depth understanding in oncology preclinical studies, in vitro and in vivo model identification/development, IND-enabling study planning, and experience in the IND filing process.
  • Experience mentoring individuals or small teams in cancer biology. 

Salary Range: $130,000/year to $160,000/year + equity + benefits

Atomic AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

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