About Formation Bio
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. 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.
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At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.
Responsibilities
- 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.
About You
- 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
This role can be based out of our New York City office, or remote in the United States.
We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. We pay all employees competitively relative to the New York City market, regardless of their location. In compliance with NYC’s pay transparency law and in pursuit of pay equity and fairness, we publish salary ranges for all open roles at Formation Bio. The target salary range for this role is $175,000 - $230,000.
On top of base salary, we also offer equity, generous perks, location flexibility, and comprehensive benefits – learn more about them and our compensation philosophy here.
If this range doesn’t match your expectations, please still apply because we may have something else for you.
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.