The Molecular Profiling and Data Science group is looking for a computational scientist to lead discovery efforts in cardiometabolic disease, and to pioneer analytical approaches for using data generated by omics and other technologies. This highly collaborative role encompasses translational, pre-clinical, and technology development projects, working with scientists and clinicians throughout the company. The successful applicant will have strong computational skills, can clearly communicate with data science experts and non-experts alike, and is motivated to learn relevant disease biology and contribute to charting research direction. This role requires onsite work at our Tarrytown, NY campus three days a week.
As a Sr. Scientist, Bioinformatics, a day might include the following:
Lead efforts to discover disease mechanism, biomarkers, and drug targets for cardiac or renal diseases from large patient cohorts profiled with RNA-Seq, proteomics, digital histopathology, and exome-seq.
Collaborate with cardiovascular scientists to design the most informative experiment, and analyze the resulting data (single-cell, spatial transcriptomics, bulk RNA-Seq, others) to inform disease and target biology.
Develop algorithms to interpret omics data from in vitro models such as organoid and tissue-on-chip.
Identify cell type specific genes or splice isoforms to enable targeted delivery of genetic medicines.
Work with wet lab scientists in our group to benchmark new omics technologies, and introduce relevant analytical approaches.
Create tools to enable large data queries, e.g. using LLMs.
Publish and present novel findings in patents, conferences, and peer-reviewed journals.
This job might be for you if you:
Are driven by the opportunity to make an impact on patients.
Have strong computational skills, and enjoy the challenge of extracting biological meaning from rich data sets.
Can effectively communicate with collaborators from various backgrounds and value teamwork.
Have curiosity that extends to both high-level and detail questions.
Want opportunities to showcase and publish your work.
To be considered for this role, you must have a PhD degree in Bioinformatics, Data Science, or similar quantitative field, with post-graduate experience preferred. You must have experience in analysis, interpretation, and visualization of omics data using R or Python, and have a strong foundation of statistical data analysis. A solid understanding of genetics and cell biology is very important; background in cardiac or renal biology would be a big plus. Hands-on experience with machine learning, predictive modeling, and/or image analysis is highly desired.
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)
$103,600.00 - $169,000.00