Output is pioneering Biologically-Aware Generative AI to finally understand complex biological systems and generate breakthrough medicines.

Industry: Biotechnology Research
Company Size: 2-10 employees

Output Biosciences

Savvy Admin PROD

**Research Intern (PhD), 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

Who We're Looking For

- 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

Bonus Points

- 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

Our Values

❤️ **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.

What we offer

- 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

Research Intern, Machine Learning

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