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Senior Computational Biologist (NYC) chez Output Biosciences

Output Biosciences · New York City, États-Unis d'Amérique · Remote

150 000,00 $US  -  250 000,00 $US

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The Role

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 is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.

As a Senior Computational Biologist, you'll work alongside members of our research team and our founders to develop AI systems capable of complex biological reasoning across multiple scales.

  • You will develop machine learning methods to extend our predictive and generative platform

  • You will design and execute computational pipelines to validate and prioritized de novo generated molecules using state of the art tools

  • You will use your deep understanding of biology to design novel therapeutics for hard-to-target proteins with our generative models

  • You will analyze and integrate large-scale biological datasets

  • Your work will directly impact the development of our biologically-aware AI platform, transforming the landscape of medicine

Make a real tangible impact on millions of lives by pushing the boundaries of AI in biology.

Who We're Looking For

  • You have a PhD in a biological field and strong programming skills in Python

  • You have experience with computational biology tools such as structure prediction, molecular docking and virtual screening

  • You have experience working with Protein or Chemical Language Models

  • You like to work collaboratively in a fast-paced startup environment

  • You are passionate about using data science to unlock the secrets of biology

  • You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them

  • You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty

  • You have excellent communication skills and can clearly articulate complex technical concepts

Bonus Points

  • You have hands-on experience building AI/ML using PyTorch and Lightning

  • You have experience with cloud computing platforms like AWS

  • You have hands-on biology laboratory experience

  • You have contributed to peer-reviewed publications in computational biology

  • You have knowledge of machine learning techniques applied to biological data

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 our 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. That's why we're committed to creating an engaging and enjoyable work environment. Our goal is to create a workplace that is fun, rewarding and fulfilling.

What We Offer

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

  • 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

  • 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

  • We are looking forward to further shaping our culture with early team members. You'll have a chance to make your mark!

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