Sr Manager Therapeutic Area Genetics (Clinical Informatics) at Regeneron Pharmaceuticals, Inc.

Regeneron Genetics Center is a wholly owned subsidiary of Regeneron Pharmaceuticals Inc. which is mission driven towards harnessing the power of human genetics to discover important new drug targets, validate existing research programs and optimize clinical trials. This TAG-CI (Therapeutic Area Genetics- Clinical Informatics) position is part of the Translational Genetics group where the goal is to tap into the growing database of more than 2.5 million sequenced exomes and associated deidentified health information to make meaningful biological discoveries at speed and scale. This role calls for expertise in data management, data science skills and use of biomedical informatics principles to create phenotypic analytical assets. Comfort in programming languages and technologies (python, R, SQL, web technologies), use of APIs for validation and light weight tool development to serve these purposes is expected. Working with internal IT and analytical teams to scale up solutions for supporting research will be key. The ideal candidate would be a PhD Scientist with a strong programming, research and epidemiology skills with formal training in a biomedical informatics program.

A typical day may include:

• Conduct data analysis, including mining and curating of phenotypic datasets with primary responsibility in developing and identifying complex clinical phenotypes and cohorts of interest for efficient data mining and association analysis in both phenotype first and genotype first queries

• Understand analytical needs of a variety of therapeutic area researchers and translate them through queries on clinical databases, EHR datasets

• Support and develop phenotyping approaches through collaboration with Genetic and IT teams. This will include strategizing underlying database schema, defining pipelines for data streams and help define dashboards and tooling for creating phenotype assets

• Relevant to the role, the team's responsibilities encompass a broad range of tasks, including the acquisition, standardization, processing, and management of clinical data from diverse sources such as electronic health records, surveys, and health registries.

• Use RGC data resources for building out visualization and analytical tools. Data resources include data in common data model, DNAnexus and AWS S3 storage and a variety of other assets accessible through APIs

• Demonstrate out of the box thinking to improve efficiencies and overall workflow pertaining to use of clinical phenotypes for GWAS ExWAS analyses

• Participate in an agile delivery process to own, research, and recommend new solutions

This role may be for you if:

• You have strong analytical skills.

• You have an eye for detail, thinking of scalability and overall emphasis operational excellence matters more than just finishing the tasks.

• You can multitask and manage simultaneous projects to meet deadlines with a strong attention to detail.

• You possess the ability to interpret and communicate analytical information in a clear, concise manner.

• You excel at managing relationships and projects involving diverse stakeholders. Ensuring that analyses are executed in a timely, accurate and reliable manner.

• You communicate findings clearly and document work for training and replication purposes.

To be considered for this role you must have a PhD or Clinical degree in a related field as well as at least 3 years of experience in biopharma, healthcare, life sciences, or a related field. At least 3 years of experience in applied health informatics (research or clinical operations) with solid understanding of APIs, web application architecture, python, React, NodeJS, Javascript. Excellent coding and quantitative skills and overall familiarity with modern data technologies and cloud compute environments. Experience with front end UI or mobile development is a plus. A solid foundation in clinical informatics. An NLM-sponsored fellowship or an accredited master's degree or certification in informatics is preferred. Experience with OHDSI tools and the OMOP data models. Deep knowledge of clinical data standards such as ICD, RxNorm, SNOMED, and LOINC and other biomedical ontologies. Appreciation of nuances of clinical data from different sources (coding, structure, classification) and how they can be used for deeper phenotyping as well as summative reporting. Excellent understanding of epidemiology and different study designs. Basic understanding of human genetic discovery approaches. Must be onsite 3-days a week subject to management discretion.

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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)