Research Intern, Machine Learning at Output… · San…

Summary: Output Biosciences is a biotech startup focused on building innovative biological reasoning models. The Research Intern will contribute to the development of machine learning approaches for biological data analysis, collaborate with an interdisciplinary team, and present research findings in top-tier conferences and journals. Responsibilities: - Contribute to the development of novel machine learning approaches for biological data analysis and interpretation - Design and implement experiments to evaluate and improve AI models using large-scale biological datasets - Collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery - Present your research findings and contribute to publications in top-tier conferences and journals - Work on projects that directly impact the future of medicine and biotechnology Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Machine learning, Deep learning, PyTorch, TensorFlow, Python, Large-scale data processing, Biological data analysis, Computational biology, Generative AI models Benefits: Competitive salary and equity in a growing, well-funded startup, Excellent medical, dental, and vision coverage