Application Guide
How to Apply for Research Scientist (Machine Learning)
at Poseidon Research
🏢 About Poseidon Research
Poseidon Research (Genesis) is pioneering molecular AI with GEMS, an AI Operating System for drug discovery built on proprietary foundation models like Pearl. The company uniquely combines AI research with physics-based approaches to design highly potent and selective drugs against difficult protein targets at industry-leading speed. Working here means contributing to cutting-edge medicine invention while collaborating with forward-deployed engineers and scientists on transformative technology.
About This Role
As a Research Scientist in Machine Learning, you'll develop and deploy foundation models like Pearl within the GEMS platform to unlock tough protein targets and accelerate drug discovery. This role involves synthesizing AI and physics research into practical applications that demonstrate unprecedented potency and selectivity in drug candidates. Your work will directly impact Genesis's pipeline and pharma partners by enabling AI-first invention of medicines.
💡 A Day in the Life
A typical day involves developing and refining foundation models within the GEMS platform, collaborating with forward-deployed scientists to apply these models to specific protein targets, and analyzing results for potency and selectivity improvements. You'll work on synthesizing AI research with physics-based methods while contributing to the AI Operating System that accelerates drug discovery for Genesis and pharma partners.
🚀 Application Tools
🎯 Who Poseidon Research Is Looking For
- Strong background in developing and training 3D diffusion models or similar foundation models for molecular/protein applications
- Experience with physics-informed machine learning approaches for drug discovery or computational chemistry
- Proven ability to translate AI research into deployable platforms that demonstrate real-world impact on drug potency and selectivity
- Collaborative mindset to work with forward-deployed engineers and scientists on the GEMS platform
📝 Tips for Applying to Poseidon Research
Highlight specific experience with 3D diffusion models or similar foundation models in your resume, not just general ML experience
Demonstrate how your previous work has led to measurable improvements in potency, selectivity, or speed in drug discovery contexts
Show familiarity with the GEMS platform by referencing how your skills would integrate with their AI Operating System approach
Include examples of synthesizing AI research with physics-based methods in your application materials
Emphasize experience working on 'difficult targets' or chemically complex problems in previous roles
✉️ What to Emphasize in Your Cover Letter
['Your specific experience with foundation models for molecular/protein applications and how it aligns with Pearl', 'Examples of translating AI research into practical drug discovery outcomes with measurable impact', "Understanding of the GEMS platform's role as an AI Operating System and how you'd contribute to its development", 'Experience collaborating in interdisciplinary teams of scientists and engineers on deployable AI systems']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Study the Pearl foundation model and understand how 3D diffusion models apply to protein targets
- → Research Genesis's pipeline and specific drug targets they're addressing to understand their 'difficult targets' focus
- → Explore how GEMS functions as an 'AI Operating System' rather than just individual models
- → Understand their pharma partnerships and how their platform serves both internal and external scientists
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Presenting generic ML experience without specific examples related to molecular/protein applications or drug discovery
- Focusing only on model development without demonstrating ability to translate research into practical impact on drug potency/selectivity
- Showing limited understanding of how AI integrates with physics-based approaches in computational drug discovery
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!
Ready to Apply?
Good luck with your application to Poseidon Research!