Research Intern (PhD), Machine Learning

• Join the team to help build the world's first biological reasoning model.
• Work on generative foundational models decoding biological systems from molecules to organisms.
• Aim to predict, understand, and program living systems in unprecedented ways.
• Output Biosciences is in stealth mode, run by experienced founders and biotech veterans with multiple AI and biology exits, backed by top VCs including Y Combinator.
• Internships offer flexible commitment: minimum 20 hours/week, duration 12 to 24 weeks.
• Various start dates available to fit academic schedules.
• Potential opportunities for full-time employment after PhD completion.

Intern Responsibilities

• Develop 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 an interdisciplinary team on challenges in molecular biology and drug discovery.
• Present research findings and contribute to publications in top-tier conferences and journals.
• Work on projects impacting the future of medicine and biotechnology.

Who They Are Looking For

• Current PhD students in Machine Learning, Computer Science, Computational Biology, or related fields.
• Strong background in deep learning with experience in PyTorch or TensorFlow.
• Proven research track record with publications at NeurIPS, ICML, ICLR, or relevant computational biology venues.
• Proficient in Python with experience in large-scale data processing and analysis.
• Excellent problem-solving skills; able to work independently on complex research problems.
• Passionate about applying AI to solve real-world biology and medicine challenges.
• Strong communication skills for presenting technical concepts to diverse audiences.
• Thrives in a fast-paced startup environment aiming for significant impact.

Bonus Points

• Experience with biological data analysis or computational biology projects.
• Familiarity with generative AI models like transformers or diffusion models.
• Contributions to open-source machine learning or bioinformatics projects.

Company Values

• Heart: Culture of ownership; passionate individuals proud of their contributions.
• Excellence: Commitment to highest standards and continuous challenge.
• Practicality: Results-oriented thinking focused on tangible impact on patients and community.
• Honesty: High value on honesty and directness; open transparent issue addressing.
• Fun: Creating a fun, engaging, rewarding, fulfilling workplace.

What They Offer

• Encouragement of new ideas, creativity, contrarian thinking.
• Healthy feedback environment with leadership support for growth; open to receiving feedback from employees.
• Ownership of day-to-day management focused on hitting milestones.
• Competitive salary and equity in a growing well-funded startup.
• Excellent medical, dental, and vision coverage.