Software Engineer (AI/LLM)

Skills

Lead the design development and deployment of software solutions that leverage AI and LLM technologies in the strategic drug development process. Collaborate with cross-functional teams including product managers and domain experts to discover build and iterate on innovative features and products. Ensure the scalability security and performance of our software systems. Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives in drug development. Stay abreast of emerging trends and advancements in AI LLMs and software development to continually enhance our product offerings. Act as an internal evangelist for use of AI and LLMs providing expert guidance and insights to other teams within the organization.

Description

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. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others.

Responsibilities

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Minimum of 5 years of experience in software development, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with a proven track record of contributing significantly to the successful launch and scaling of new and innovative products, especially in a 0-1 setting.
• Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences.
• Experience with AI technologies, particularly in LLMs and machine learning.
• Familiarity with cloud infrastructure (e.g., AWS, Azure, GCP) and the full end-to-end process of modern software deployment (e.g., containerization, CI/CD).
• Experience in the pharmaceutical or biotech industry is a plus, but not required