Search the 11 jobs at Genesis Therapeutics

Lead the infrastructure team at Genesis Therapeutics to maintain and grow multi-cloud compute infrastructure supporting ML model training, computational chemistry research, and drug discovery. Develop monitoring, resource allocation, and deployment automation procedures. Improve job scheduling system for higher execution throughput and reliability.

As a ML Research Engineer, you will lead the design and execution of transformative research projects, focusing on generative and predictive models for molecular systems, conducting experiments, and developing training techniques. Your role requires collaboration with engineers and biochemistry experts to enhance the AI platform with state-of-the-art models.

As a Software Engineer at Genesis Therapeutics, you'll build tools for molecular visualization and machine learning analysis, collaborate with experts to develop computational methods, and scale data infrastructure for deep learning and molecular dynamics jobs.

As an ML Research Engineer, you will lead innovative research experiments focusing on generative and predictive modeling of molecular systems, design large-scale experiments, and mentor junior team members while collaborating with engineers and researchers.

The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.

As the Total Rewards Lead, you will develop and execute a compensation strategy that aligns with company objectives. Responsibilities include leading design and maintenance of compensation programs, utilizing data analytics for decision-making, ensuring compliance with laws, and collaborating with senior leadership on pay policies and retention strategies.

As a Software Engineer (New Grad) at Genesis Therapeutics, you will build tools for visualizing molecules, analyze machine learning models, and manage complex workflows. Collaborating with machine learning engineers and chemists, you will enhance data infrastructure to support vast datasets. Ideal candidates are eager to innovate within the drug discovery domain.

The Chief of Staff will support the CEO in operations and strategy, focusing on process management, fostering collaboration, and facilitating strategic projects. They will optimize internal communication and decision-making while overseeing projects that drive business initiatives forward.

Lead structural biology strategies for drug discovery, manage CRO resources, and guide research projects. Collaborate with multidisciplinary teams, communicate project developments, and support structure-based drug design efforts.

The Associate Director of New Product Planning will lead strategic planning for AI-discovered drug programs, guiding program decisions during discovery and clinical phases. Responsibilities include market analysis, portfolio strategy support, and collaboration with C-suite executives to enhance commercialization strategies.

The DMPK Director will lead drug metabolism and pharmacokinetics efforts in drug discovery, overseeing in vitro and in vivo studies, managing CROs, and guiding junior staff. Responsibilities include designing ADME assays, preparing regulatory submissions, and collaborating on AI predictive modeling.