Genesis Therapeutics

About the Company

Genesis Therapeutics - headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego - is unifying AI and biotechnology to discover novel and breakthrough treatments for patients with severe and devastating conditions. We are using a proprietary state-of-the-art generative and predictive AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery. The GEMS platform integrates deep learning-based predictive models, molecular simulations, and molecular generative AI. GEMS accelerates hit ID through lead optimization and candidate selection by generating promising molecules for synthesis and experimental testing, and iterating this process through multiple cycles of AI-enabled discovery and optimization. We have leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has two AI platform collaborations across a range of therapeutic areas: Eli Lilly (signed in 2022) and Genentech (signed in 2020). Genesis has raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures. We are rapidly growing our team with a variety of openings on our machine learning, computational chemistry, and software teams (primarily located in the Bay Area) and our chemistry, biology, and clinical teams (primarily located in San Diego). To learn more about Genesis Therapeutics, or current employment opportunities, please visit our website.

Listed Jobs

Company Name

Genesis Therapeutics

Job Title

Software Engineer Intern - 2026

Job Description

**Job Title:** Software Engineer Intern - 2026 **Role Summary** Develop and scale software tools to advance drug discovery through machine learning, biophysical simulation, and computational chemistry. **Expectations** - Write high-quality, efficient code for mission-critical tools and infrastructure. - Collaborate with machine learning engineers and medicinal chemists to implement computational methods. - Demonstrate problem-solving abilities rooted in first-principles thinking. - Adapt quickly to learn biochemistry and drug development concepts. **Key Responsibilities** - Design and expand tools for molecule/protein visualization, ML model analysis, and chemical workflow management. - Optimize infrastructure to process large-scale datasets and parallel computational tasks (e.g., deep learning, molecular dynamics). - Support productionization of ML models for molecular property prediction. - Contribute to platform development for drug discovery workflows. **Required Skills** - Proficiency in Python and software development practices (e.g., version control, testing). - Experience with data structures, algorithms, and cloud/AI platforms (preferred). - Familiarity with ML frameworks (e.g., TensorFlow/PyTorch) and computational chemistry workflows (desired). - Strong analytical skills for debugging and optimizing complex systems. **Required Education & Certifications** - Pursuing a degree in Computer Science, Bioinformatics, or a related field. - Academic or professional experience in machine learning or computational biology (preferred). - No mandatory certifications; technical aptitude is critical.

Burlingame, United states

On site

Fresher

17-09-2025