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 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.
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
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 computer science, computational biology or a biological field and strong programming skills in Python
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
You will be expected to travel periodically for in-person team meetings at our NYC HQ
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
❤️ 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.
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!
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Contribute to a stealth biotech's AI-driven platform as an Associate Computational Scientist, using Python and bioinformatics to analyze biological datasets and build data pipelines that enable generative biological models.
Lead development of generative biological reasoning models at a stealth AI×Bio startup, applying computational biology and ML to design novel therapeutics.
Stand is looking for a Machine Learning Engineer to design, train, and deploy production ML models that power its climate-risk analytics and resilience insurance platform in San Francisco.
Mercor is hiring an early-career Data Scientist in San Francisco to drive experiments, metrics, and prototypes that improve hiring match quality and product metrics using SQL, Python, and causal thinking.
Lead and advance clinical biomarker analytics and multimodal data integration to drive precision-medicine decisions for oncology programs at a global biopharma company.
Upgrade is hiring a Senior Model Risk Analyst to validate and strengthen ML/statistical models across credit, fraud, marketing, and operations for its high-growth fintech platform.
Novartis' data42 team seeks an Associate Director Real World Data Scientist to apply advanced AI/ML to multimodal and real-world data to uncover biomarkers, patient insights, and evidence that accelerate drug development.
Decagon is hiring a Senior Data Scientist to lead experimentation, build scalable analytics, and translate data into strategic product and business decisions.
Netic is hiring an in-person Machine Learning Engineer Intern in San Francisco to build and deploy production ML models and collaborate directly with customers and product teams.
Contribute to a stealth biotech's AI-driven platform as an Associate Computational Scientist, using Python and bioinformatics to analyze biological datasets and build data pipelines that enable generative biological models.
Support a mission-critical Sponsor office in Chantilly, VA as a Data Scientist delivering enterprise-level analysis and Tableau-driven visual storytelling with an active TS/SCI and FSP.