We are seeking a highly collaborativePrincipal Scientist- Data Scienceto join our Data Science team as a part of our newRegeneron Cell Medicine(RCM) group. You will be responsible for bringing an engineering approach to our analytical workflows and high dimensional data flows to enable robustness and scalability of our analyses and to enable our collaborators to extract maximal insights from our burgeoning and precious datasets. We hope you are excited by this opportunity to leverage skills in bioinformatics, workflow engineering, and data analytics to make an immediate impact on the efficacy and safety of our cell therapies with the goal of improving patient lives.
As a Principal Scientist- Data Science, a typical day might include:
Engaging with our groundbreaking science, finding new opportunities where computational engineering and automation can accelerate progress and ultimately bring more time to patients
Being an advocate and champion for these approaches within RCM Research and across RCM broadly
Collaborating with research scientists, data scientists, and IT to understand analytical and informatics needs and how to integrate solutions into the larger RCM computational infrastructure
Developing and maintaining in-house pipelines for processing and extracting insights from research data, including high-throughput NGS and CyTOF data, routine characterization assay data, and custom assays
Creating tools for and partnering with our collaborators in IT to enable automated flows of research and correlative data into data lake environments.
Using cloud computing platforms like AWS for data and pipeline management and automation
Engaging with data science colleagues across Regeneron to identify new opportunities for synergy and collaboration
This role might be for you if you:
Are able to work in a highly collaborative team environment with excellent communication skills and ability to influence across multiple functions
Have a passion for democratizing data and creating reproducible workflows that accelerate science and ultimately improve the lives of patients
Are excited to learn, get to know great colleagues, and enjoy exciting Cell Therapy Data Science
Are a friendly and engaged mentor for your colleagues on best practices, enjoy educating end users with tutorials, and consistently document your efforts
In order to be considered for this role, you must have at least a Ph.D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field. Must have experience in solving biological/biomedical problems within a biotech/academic setting. We need someone with a strong proficiency in Python and/or R, SQL, and expertise with Linux command line environment. Previous experience with pipeline workflow languages, particularly Nextflow and Snakemake, and/or AWS Workflow Orchestration (Step and Lambda functions) is required. Experience with SevenBridges and/or DNANexus is a plus. Must have a strong understanding of data analytics, statistics, and machine learning concepts/tools. Prior experience with Data Lake and Lakehouse architectures (particularly Databricks) with developing ETL processes, and with end-to-end data solutions is strongly preferred.
AtRegeneron Cell Medicines, we are excited to continue leading the charge on the development of transformative cell therapies for Oncology and other indications. We combine clinical data expertise with vast toolkits for targeting and enhancing T cell function and are passionate innovators that care and share unwavering dedication to important life-changing work. We show up daily for our patients (literally and figuratively) and we feel privileged to be a part of their journey.
Location: Seattle or Cambridge