Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials.
Requirements
- Strong programming skills, particularly in Python
- Extensive experience in multi-modal bioinformatics analysis
- Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases
- Strong background in machine learning and deep learning, particularly in biological applications
- Experience with large language models (LLM)
- Demonstrated ability to collaborate effectively with engineering teams on production systems
Responsibilities
- Lead and execute complex data science projects that directly advance our drug development portfolio
- Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
- Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
- Aid in the development and training of AI agents to automate and optimize biomedical workflows
- Collaborate cross-functionally with clinical, technical, and research teams
- Present complex analytical findings to senior stakeholders, including executive leadership
Other
- PhD in computational sciences or life sciences
- 3+ years of post-academic experience in life sciences (biotech, pharma, consulting)
- Strong communication skills with proven ability to present complex technical findings to senior stakeholders
- Please only apply if you reside in these locations or are willing to relocate.
- You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
