Research Intern, Machine Learning

Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales — from molecules to organisms — enabling us to predict, understand, and program living systems in ways never before possible.

Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator.

Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.

• You will contribute to the development of novel machine learning approaches for biological data analysis and interpretation

• You will design and implement experiments to evaluate and improve AI models using large-scale biological datasets

• You will collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery

• You will present your research findings and contribute to publications in top-tier conferences and journals

• You will have the opportunity to work on projects that directly impact the future of medicine and biotechnology

• You are currently pursuing a PhD in Machine Learning, Computer Science, Computational Biology, or a related field

• You have a strong background in deep learning, with experience in frameworks such as PyTorch or TensorFlow

• You have a proven track record of research, demonstrated by publications at conferences such as NeurIPS, ICML, ICLR, or relevant computational biology venues

• You are proficient in Python and have experience with large-scale data processing and analysis

• You have excellent problem-solving skills and the ability to work independently on complex research problems

• You are passionate about applying AI to solve real-world challenges in biology and medicine

• You have strong communication skills and can effectively present technical concepts to diverse audiences

• You thrive in a fast-paced, startup environment and are excited about making a significant impact in a growing field

• Experience with biological data analysis or computational biology projects

• Familiarity with generative AI models, such as transformers or diffusion models

• Contributions to open-source machine learning or bioinformatics projects

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.

• We encourage new and different ideas, creativity and contrarian thinking

• Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

• You own your day-to-day management. What we care about is that we all hit our milestones

• Competitive salary and equity in a growing, well-funded startup

• Excellent medical, dental, and vision coverage