Associate Director, Machine Learning Scientist (HEOR)

As an Associate Director, you will support establishing our internal capabilities and expertise in applying machine learning and deep learning to analyze complex real word data including health insurance claims, electronic health records, registry data and other structured or unstructured data. Working closely with cross-functional teams, we develop and implement predictive models, causal inference models, and statistical analysis methodologies to support clinical development. You will work with external collaboration partners in machine learning/deep learning projects, and effectively interpret/communicate the methodology and results to the internal and external partners.

A typical day may include the following: 
Designing and developing machine learning/deep learning models to extract insights and patterns from complex real-world data.
Applying various data mining techniques, including clustering, regression analysis, machine learning based survival analysis, tree-based models, deep learning models to develop predictive models.
Applying various machine learning explanation techniques to make the developed models more interpretable.
Conduct exploratory data analysis to identify important features, relationships, and trends from Real World Data. Be responsible for and drive the machine learning/deep learning projects in collaboration with external industrial or academia partners. 
Effectively communicating the methodology and insights mined from the data to internal partners. Appling machine learning algorithms to various drug development research projects.
Stay up to date with the latest advancements in machine learning/deep learning techniques, and implement best practices in the development and application of predictive models

This may be for you if you: 
•    Can demonstrate Machine Learning healthcare data solutions
•    Effectively work with clinical collaboration and vendors partners. 
•    Want a pivotal role in addressing Machine Learning techniques in a growing organization.

To be considered you are to have a Ph.D. or Master degree in computer science, biomedical informatics, statistics, data science, or related quantitative science.

A minimum of 3 years of work experience, preferably in life science companies, healthcare, artificial intelligence service providers, or healthcare sectors is required. Your experience needs to include developing and applying machine learning/deep learning algorithms to large-scale, complex real world healthcare data sets is required. 

Additional requirements include: 
•    Proficiency in programming languages such as Python, R, and SQL.
•    Experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras.
•    Knowledge of statistical analysis methodologies, data mining, and predictive modeling.
•    Excellent communication and collaboration skills with the ability to work in a fast-paced, dynamic environment.
•    A track record of publications in journals and conferences.
 

Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible employees at all levels!

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need.

The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location.

Salary Range (annually)

$165,900.00 - $270,700.00