Genesis Therapeutics
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The Head of Platform Engineering will lead the Platform Engineering group, overseeing teams to drive development of scalable solutions for drug discovery. Responsibilities include strategic leadership, collaboration with product managers and scientists, ensuring technical excellence, mentoring teams, managing stakeholder expectations, and fostering innovation in platform engineering.
The DMPK Director will lead drug metabolism and pharmacokinetics efforts in preclinical and early development. Responsibilities include designing and interpreting in vitro and in vivo DMPK studies, managing project teams and CROs, preparing regulatory documents, and mentoring junior staff, all while utilizing AI in drug discovery.
The Associate Director, New Product Planning will drive strategic planning and decision-making for drug discovery and development. This role involves market analysis, engagement with stakeholders, supporting corporate strategy, and providing commercial insights on new product opportunities.
As a Senior Infrastructure Engineer at Genesis Therapeutics, you will maintain and expand multi-cloud compute infrastructure, oversee resource allocation and deployment automation, and enhance job scheduling systems for improved execution and utilization in drug discovery efforts.
The Research Associate will design and execute biophysical assays to analyze drug-target interactions, manage experimental data, operate liquid-handling automation, and present findings to the team.
The Biotech/Life Science Recruiter will manage full-cycle recruitment, building relationships with hiring managers to understand their strategic talent needs, develop sourcing strategies, and ensure a positive candidate experience while staying informed on industry trends and metrics.
The Senior Product Manager will define and manage the product roadmap for drug discovery platforms, facilitating collaboration among engineering and research teams, driving project execution, and ensuring alignment with company goals through effective communication and data-driven decisions.
The ML Research Scientist will lead research projects focused on generative models for molecular systems, design experiments to validate approaches, and publish findings. The role involves mentoring junior team members and requires expertise in cutting-edge machine learning techniques and coding skills.
As a Senior ML Research Engineer, you will lead experimentation on transformative projects for generative and predictive models, design and conduct large-scale experiments, and mentor junior team members. Your work will blend techniques from machine learning and computational sciences to innovate drug discovery processes.
The Chief of Staff will support the CEO in operations and strategy, manage priorities, drive process improvements, facilitate cross-functional initiatives, and enhance internal communications. Responsibilities include optimizing corporate processes, fostering collaboration across teams, and owning strategic projects to advance the business.
Seeking experienced ML Engineers to lead engineering efforts focused on driving forward ML research agenda for generative modeling of molecular systems. Responsible for building massively distributed training and inference pipelines, optimizing GPU operations, and defining long-term vision for ML platform.