Senior Quality Control Data Scientist
About the role
Build our future together:
Regeneron is building the digital Quality Control laboratory, and looking for a QC Data Scientist to keep that data layer running: validating that what reaches LIMS is what left the instrument, maintaining the statistical control limits behind Review by Exception, and turning QC data into information leaders can act on. Working across the orchestration, LIMS, and instrument software, helping to bring Industry 4.0 laboratories into practice, this role delivers the QC scientific data framework day to day, with strong scientific judgment.
When & where:
Monday–Friday, 8:00am–4:30pm
Location: Rensselaer, New York, United States
Discover your role:
Execute daily validation and reconciliation of instrument-to-LIMS data flows across the lab bus confirming the completeness, accuracy, and integrity of data transferred from instruments (Empower and others) into LIMS and data lake solutions.
Maintain and monitor statistically valid control limits and Review by Exception (RBE) logic; triage flags and out-of-trend signals with method-specific scientific judgment and escalate issues.
Validate parsing and data-transformation configurations for every new method onboarding, instrument qualification, and software release ensuring the pipeline interprets analytical outputs correctly before they reach LabWare.
Build and maintain dashboards, reports, and analytics that translate QC data into actionable information for analysts, managers, and stakeholders.
Apply statistical and machine-learning-supported tools (multivariate analysis, trending, anomaly detection) to support performance-monitoring programs and technical investigations.
Troubleshoot data-transfer discrepancies at the scientific level distinguishing formatting and rounding artifacts from true signal-integrity issues and driving them to resolution.
Support GxP data integrity (ALCOA+) for the scientific data layer; contribute to investigations, CAPAs, and inspection readiness.
Partner with QC analysts, laboratory informatics / IT, and OT to keep the scientific data pipeline healthy leading the scientific and data-quality dimension while infrastructure and platform administration remain with IT / OT.
Use LLMs (Claude, ChatGPT, etc.) to accelerate drafting, coding, and analysis with the judgment to keep probabilistic AI out of validated GxP data and quality decisions.
This role requires:
BS/BA Biochemistry, Chemistry, Biology, Data / Computational Science, or a related field; with 6+ years relevant analytical or QC data experience — preferably in the pharmaceutical or biotechnology industries. PhD strongly preferred with 2+ years relevant experience.
Proven understanding of analytical and bioassay variability and the statistical basis for control limits, trending, and Review by Exception.
Applied statistics and data analysis: multivariate methods (PCA / PLS), trending, and anomaly detection; exposure to machine-learning tools.
Strong SQL and data-modeling skills (ETL, data cleansing, transformation) and programming for data manipulation (Python and/or R).
Specialized statistical / modeling software (e.g., JMP, Minitab, SIMCA, Discoverant, MATLAB).
Experience with Tableau, Spotfire, and Power BI.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. 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, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
$78,700.00 - $128,700.00
Responsibilities
- Execute daily validation and reconciliation of instrument-to-LIMS data flows.
- Maintain and monitor statistically valid control limits and Review by Exception logic.
- Validate parsing and data-transformation configurations for new methods onboarding.
- Build and maintain dashboards, reports, and analytics for QC data.
- Apply statistical and machine-learning-supported tools for performance monitoring.
- Troubleshoot data-transfer discrepancies at the scientific level.
- Support GxP data integrity for the scientific data layer.
- Partner with QC analysts and IT to maintain the scientific data pipeline.
Qualifications
- BS/BA in Biochemistry, Chemistry, Biology, Data/Computational Science, or related field.
- 6+ years relevant analytical or QC data experience, preferably in pharmaceuticals or biotechnology.
- PhD strongly preferred with 2+ years relevant experience.
- Proven understanding of analytical and bioassay variability.
- Strong SQL and data-modeling skills.
- Experience with specialized statistical/modeling software.
Benefits
- Annual bonuses or other incentive plans.
- Equity awards.
- Pension or retirement benefits.
- 401(k) company match.
- Health and wellness programs.
- Insurance benefits (medical, dental, vision, life and disability).
- Paid time off.
- Family support benefits.
Skills mentioned
About Regeneron Pharmaceuticals
At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.