Codex is hiring at various levels, ranging from recent college graduates to highly experienced data scientists. Please reach out if you want to work on challenging problems that lead to better patient outcomes and transformative health care.
What you will do
Design and build statistical algorithms and machine learning models for a variety of healthcare applications
Carry out first-principles exploratory analysis of large data sets from our health system partners
Work with engineers and product managers to deploy algorithms and models into robust production models
Collaborate with designers to determine intuitive and elegant ways of surfacing algorithmic insights to end users
Gain insight and exposure to the healthcare industry, business of medicine, and patient care
What we’d like you bring to the table
MS or Ph.D. degree in Computer Science, Electrical Engineering, Statistics, Operations Research, Mathematics, Physics, Economics, or other quantitative discipline
Strong demonstrated expertise in designing, building and deploying statistical algorithms and machine learning models
Expert knowledge of SQL and database operations.Experience with distributed processing methods and ETL systems. Familiarity with ML/AI workflows and lifecycle management (i.e. Kubeflow, Domino Data Lab, etc.) is a plus
Familiarity with the use of Python to work with large data sets within modern data science frameworks
Strong communication skills to present insights and summarizing complex data to diverse audiences. For new graduates, some level of work experience (including college internships) is strongly preferred
Most of all - a growth mindset, highly collaborative nature, and a strong desire to learn
Get in touch at hello@codexhealth.com if you're interested! Please reach out even if your background doesn’t meet all of our desired skill sets if you’re intrigued by our mission and work.
Codex Health is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We celebrate diversity and are committed to creating an inclusive environment for all employees.
