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Benefits & Perks
•Healthcare
•401(k)
•Equity
•Paid Time Off
•Parental Leave
•Healthcare
•401k
•Equity
•Parental Leave
Required Skills
Computational biology
RNA sequencing analysis
Multi-omics data analysis
Statistical analysis
Scientific communication
The Molecular Profiling and Data Science Department is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative working environment. You will participate in original studies that span from basic research to translation studies, directly impacting the lives of patients. You will also have the opportunity to develop novel computational methods from internal and external big data resources. You will join a diverse and inspiring team which cultivates discussion across scientists of differing backgrounds at the exciting intersection of multi-omics, technology development, machine learning, and immuno-oncology. We work closely with biological researchers from different scientific functions, especially the departments of Oncology, Immuno-Oncology, and Early Clinical Development to address critical scientific questions.
In this role, a typical day might include the following:
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Lead computational efforts in the Immuno-Oncology (IO) field by developing or applying cutting-edge methods from bulk RNA sequencing, single cell multi-omics, spatial transcriptomics and other sequencing technologies.
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Work in concert with oncology pre-clinical and clinical teams to design and analyze multi-omics sequencing experiments for target identification, target advancement, biomarker discovery, and clinical profiling
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Prepare clear, concise presentations for collaborators and senior management.
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Publish and present novel findings in peer-reviewed journals and conferences.
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Implement and develop analysis pipelines using cutting-edge algorithms and statistically sound methodologies.
This job might be for you if:
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You are passionate about understanding and utilizing efficient computational techniques to address biological questions.
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Bring innovative thinking to multi-omics data analysis.
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Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward within Regeneron.
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Can effectively communicate with collaborators of various backgrounds.
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Value teamwork and team excellence.
To be considered for this role, you must:
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Be an enthusiastic and motivated scientist who values independent research in an open and collaborative working environment
-
PHD 0-2 years experience
-
MS -4+ years experience
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries’ specific benefits, please speak to your recruiter.Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location.
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)
$93,900.00 - $153,300.00
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About Regeneron

Regeneron
PublicFocused on neurotrophic factors and their regenerative capabilities, giving rise to its present name; the company has since expanded operations int...
10,001+
Employees
Westchester County
Headquarters
Reviews
3.2
5 reviews
Work Life Balance
2.0
Compensation
4.3
Culture
2.5
Career
3.5
Management
2.0
Pros
Good pay and benefits
Company events and perks
Great coworkers
Cons
Toxic management
Poor work-life balance
Micromanagement and lack of autonomy
Salary Ranges
1,037 data points
Junior/L3
Junior/L3 · Data Analyst
0 reports
$108,540
total / year
Base
-
Stock
-
Bonus
-
$92,259
$124,821
Interview Experience
5 interviews
Difficulty
2.2
/ 5
Duration
14-28 weeks
Offer Rate
60%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Phone/Video Screen
3
Hiring Manager Interview
4
Panel Interview
5
Stakeholder Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Presentation Skills
Culture Fit
News & Buzz
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