**Associate Director, Clinical Informatics and Data Sciences** The Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron’s therapeutic programs. You will lead our efforts to organize health information aggregated from electronic health records, surveys, digital devices, and laboratory assays from multiple collaborators. This will require supervising and mentoring a small high-performing team and working with them to develop and implement standards for health data as well as code repositories, pipelines and analysis tools that facilitate interacting with data. You will need expertise in organizing and structuring large and diverse datasets as well as top-notch software engineering and orchestration skills. You will be responsible for the design of data structures that store health data. You will architect the code and processes that populate, validate, and analyze these data. You will participate in the downstream analysis using machine learning, genomics, and epidemiology. This will be a dynamic, challenging position with lots of work and lots of opportunities. **A typical day might include:** + Managing priorities and schedules for your team, as your work to match their abilities and expertise with the needs and goals of the organization. You will have to prioritize among a variety of tasks – ranging from datasets that might need data curation and harmonization to potential improvements to code, processes and APIs that might improve long-term team productivity. + Identifying courses, projects and resources that facilitate the professional development and growth of your team members, with the goal of growing their knowledge of clinical informatics, computer science, data engineering, epidemiology and collaboration. + Reviewing the structure, content, and quality of phenotype data extracted from electronic health records, surveys, digital devices **,** or laboratory assays. Each of these datasets may include data on 100,000s of people and require coordination and input from multiple stakeholders with varied expertise. + Architect, develop and test the tools and code that will transform electronic health records, surveys, laboratory assays, or digital device data into a harmonized format compatible with RGC analytical tools, applications and processes. You and your team will probably be writing and updating code in Python and using associated data science libraries, such as pandas, Polars, NumPy, scikit, and others. + Architect, develop and test a toolkit with key functions, APIs, and summaries that help users understand, interpret, and interact with phenotype data. In addition to Python, knowledge of R, SQL and/or C++ is a definite plus. + You will work with modern cloud environments and platforms. Experience with AWS, data processing, relational databases and related toolkits will be useful for your day-to-day work. You will be using your computational skills to architect and execute analysis and data processing at scale and to facilitate automation and repeatability of all key processes. + You will be presenting results and summaries of these datasets and data processing plans to a variety of technical audiences, ranging from experts in statistics, epidemiology, genetics, and computation to experts in biology, drug design, and medicine. You will need outstanding communication skills and an ability to summarize and present to a variety of technical audiences. + You will work in a highly interactive environment with a diverse team of colleagues. We highly value the ability to interact, learn, and teach so that you and other skilled individuals consistently achieve high levels of motivation, enthusiasm, and performance. **This role might be for you if you can/have:** + An outstanding candidate will have an advanced degree in Computer Science, Health Informatics, Clinical Informatics, Biostatistics, or a related field. 5-10 years of experience in organizing and processing rich datasets is expected. + A demonstrated knowledge of Python and key data science libraries is a must. Knowledge of R, SQL and/or C/C++ is also highly valued. If you have contributed to code in GitHub or another public repository, let us know. + Have a passion for teaching others and helping your team grow. We expect our people managers to make their teams better! + Understanding strategies for mapping structured and unstructured data to ontologies such as ICD-10, RxNORM and LOINC. + Knowledge and experience applying best practices for data quality control, summarization and visualization. + A passion for learning. We are a fast-moving team in a fast-moving company. You should expect to encounter challenging work and to learn many new skills. + Ability to summarize and distil results concisely. Excellent oral presentation and writing skills. **To be considered for this position** you should have a PhD (or MS with additional years in lieu of) in Computer Science, Health Informatics, Clinical Informatics, Biostatistics, or a related field with 7+ years of demonstrated experience organizing large datasets in a research setting, whether in academia or industry, is expected. \#RGCAG Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, 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. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. **Salary Range (annually)** $173,500.00 - $283,100.00