Nuanced Health is a seed-stage, venture capital-backed biotechnology company that is reimagining the drug development process in order to discover, develop, and evolve therapeutics. We believe that a better understanding of the biological heterogeneity among us can inspire novel therapeutics and maximize the efficacy of existing ones. At Nuanced Health, we combine in vivo techniques with computational methods to create a drug development process that addresses our unique biology and discovers treatments that work for everyone. We are a multidisciplinary company, motivated to build a mutualistic environment where engineers and scientists work synergistically to create a revolutionary product on a category-defining platform for the life sciences industry.
Nuanced Health is founded on enabling and integrating teams and systems to have a greater impact – a core principle that we apply toward our people and our product.
At Nuanced Health, we are data-driven. We believe that a strong foundation for data acquisition and data analysis of in vivo models, bioinformatics and machine learning is at the core of our platform for drug discovery and development. The in silico models we’ll use to identify biomarkers, understand drug interactions and ultimately realize the biological models will compel us towards revolutionizing drug discovery.
Data is the common thread that links many disciplines here, and as an Engineer on our team, you will be responsible for the backbone that supports and connects the groups across the organization. The systems and processes you build will create fundamental value, accelerating communication and execution of critical experiments while enabling the discoveries made from them. They will become the conduit that connects the lab and the real world to the data platform in the cloud. Additionally, the models you implement and analyses you deliver will define tangible progress for the organization.
As the Software Engineer, your primary responsibility will be to deliver and continually improve the platform to connect all scientific experiments. You would be joining a team of microbiologists, immunologists, researchers and computational scientists and engineers, so an ideal teammate is intentionally curious, highly adaptable, committed to learning, and passionate about innovation, all in a dynamic startup environment.