Application Guide
How to Apply for Forward Deployed Research Scientist (Biology)
at Goodfire
🏢 About Goodfire
Goodfire appears to be a forward-deployed research organization focused on applying advanced biological foundation models to real-world problems in precision medicine, digital pathology, and drug discovery. Their unique approach involves direct collaboration with customers to conduct original research in interpretability and computational biology, suggesting they operate at the intersection of cutting-edge AI research and practical biological applications. This makes them attractive for scientists who want to see their research directly impact healthcare and biotechnology.
About This Role
As a Forward Deployed Research Scientist (Biology) at Goodfire, you'll lead scientific research with partners to interpret advanced biological foundation models (genomic foundation models, ViTs, PLMs) and translate these insights into tools for real-world applications. This role involves end-to-end ownership of high-stakes projects with customers, from problem definition through implementation, requiring both deep biological expertise and strong ML capabilities. You'll be working directly with customers to conduct original research that bridges interpretability and computational biology.
💡 A Day in the Life
A typical day might involve morning meetings with customer teams to define research problems and hypotheses, followed by hands-on work implementing interpretability methods on biological foundation models using PyTorch. You'd likely spend afternoons analyzing results, building tools based on your findings, and preparing research updates for stakeholders, balancing deep technical work with customer communication and project management.
🚀 Application Tools
🎯 Who Goodfire Is Looking For
- A PhD/MD in biology with substantial ML experience who can explain complex biological concepts through computational approaches
- Someone with hands-on experience implementing and interpreting large models (genomic foundation models, ViTs, PLMs) in biological contexts
- A proactive researcher who thrives in customer-facing roles and can 'do whatever it takes' to deliver successful projects
- A communicator who can translate between biological research questions and ML solutions while maintaining scientific rigor
📝 Tips for Applying to Goodfire
Highlight specific experience with genomic foundation models, Vision Transformers (ViTs), or Protein Language Models (PLMs) in your resume, not just general ML experience
Demonstrate your ability to work directly with external partners or customers in previous research projects
Show examples where you've taken ownership of end-to-end research delivery, from problem definition through implementation
Prepare a portfolio showing how you've translated biological research into practical tools or applications
Emphasize your experience in interpretability research specifically within computational biology contexts
✉️ What to Emphasize in Your Cover Letter
['Your experience interpreting what large biological models have learned, not just using them', 'Examples of taking ownership of high-stakes projects from start to finish', "How you've successfully worked directly with external partners or customers in research settings", "Specific applications you've developed in precision medicine, digital pathology, or drug discovery"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Investigate Goodfire's published research or presentations on biological foundation model interpretability
- → Look for information about their customer base in precision medicine, digital pathology, or drug discovery
- → Research their team's background to understand their specific approach to forward-deployed research
- → Try to understand their technical stack and how they implement foundation models in biological contexts
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Focusing only on ML expertise without demonstrating deep biological domain knowledge
- Presenting yourself as purely an academic researcher without experience in customer-facing or applied settings
- Being vague about your specific experience with the mentioned model types (genomic foundation models, ViTs, PLMs)
📅 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!