Computational Biologist Job at Output, Inc, New York, NY

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  • Output, Inc
  • New York, NY

Job Description

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 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 analyze the biological reasoning capabilities of our AI models
  • You will design, create and investigate biological tasks to evaluate our foundational model
  • You will analyze and integrate large-scale biological datasets using cutting-edge computational techniques
  • You will develop and optimize data processing pipelines to support our AI modeling efforts
  • You will collaborate with our multidisciplinary team to integrate bioinformatics approaches into our AI platform
  • You will contribute to the improvement of our biological data management systems
  • 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 degree in a biological field and strong programming skills in Python
  • You have excellent problem-solving skills and attention to detail
  • You are eager to learn and can 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 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!

Job Tags

Full time,

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