2 дня назад
Senior Quality Control Data Scientist (Biotechnology)
78 700 - 128 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Quality Control Data Scientist (Biotechnology): Maintaining instrument-to-LIMS data flows, statistical control limits, Review by Exception logic, and QC analytics for a digital quality control laboratory with an accent on GxP data integrity, scientific validation, and Industry 4.0 laboratory systems. Focus on validating data transformations, applying multivariate analysis and anomaly detection, building actionable dashboards, and resolving scientific data-integrity issues across laboratory platforms.
Location: Rensselaer, New York, United States; onsite, Monday–Friday, 8:00 a.m.–4:30 p.m.
Salary: $78,700–$128,700 annually
Company
is a biotechnology company that develops and commercializes medicines for serious diseases.
What you will do
- Validate and reconcile instrument-to-LIMS data flows, confirming the completeness, accuracy, and integrity of laboratory data.
- Maintain statistical control limits and Review by Exception logic, investigate out-of-trend signals, and escalate issues using scientific judgment.
- Validate data parsing and transformation configurations for new methods, instrument qualifications, and software releases before data reaches LabWare.
- Build dashboards, reports, and analytics that convert QC data into actionable information for analysts, managers, and stakeholders.
- Apply multivariate analysis, trending, anomaly detection, and machine-learning-supported tools to performance monitoring and technical investigations.
- Support GxP data integrity, ALCOA+, investigations, CAPAs, inspection readiness, and collaboration with QC, laboratory informatics, IT, and OT.
Requirements
- BS/BA in Biochemistry, Chemistry, Biology, Data Science, Computational Science, or a related field, plus 6+ years of relevant analytical or QC data experience.
- Pharmaceutical or biotechnology experience preferred; a PhD with 2+ years of relevant experience is strongly preferred.
- Understanding of analytical and bioassay variability, statistical control limits, trending, and Review by Exception.
- Experience with multivariate methods such as PCA and PLS, anomaly detection, and machine-learning tools.
- Strong SQL, data modeling, ETL, data cleansing, transformation, and programming skills using Python and/or R.
- Experience with JMP, Minitab, SIMCA, Discoverant, MATLAB, Tableau, Spotfire, and Power BI.
Culture & Benefits
- Onsite work is expected for many roles because collaboration is conducted in person.
- Benefits may include annual bonuses, equity awards, retirement benefits, 401(k) matching, health and wellness programs, insurance, paid time off, and family support benefits.
- Inclusive workplace and equal employment opportunity practices.
- Reasonable accommodation is available during the recruitment process where required.
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