9 дней назад
Data Scientist - Sciences (Medical Devices)
128 000 - 160 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Data Scientist - Sciences (Statistics/DOE): Designing experiments and analyzing laboratory and manufacturing data for global R&D Sciences, with an accent on statistical rigor, experimental efficiency, and quantitative insight generation. Focus on multivariate analysis, sample size determination, error assessment, and educating scientists on data-driven experimentation.
Location: Oakdale, Minnesota, United States; minimum 3 days per week onsite
Salary: $128,000–$160,000 annually, with potential discretionary bonuses
Company
develops vital organ therapy solutions, with a focus on kidney care, dialysis services, digital solutions, and advanced medical technologies.
What you will do
- Support global R&D projects and products through laboratory test design and analysis of existing data.
- Design experiments by defining variables, fixed conditions, design space, controls, and repeatability and reproducibility assessments.
- Apply statistical methods including sample size determination, hypothesis testing, error analysis, variability assessment, and detection and quantification limits.
- Perform multivariate analyses to assess system sensitivity, optimize systems, and define further testing.
- Review protocols, data, and reports for statistical rigor and interpretation quality.
- Educate Science teams on experimental design and data analysis while providing updates to R&D Sciences management.
Requirements
- Degree in engineering, science, mathematics, statistics, or a related discipline.
- At least 10 years of related experience with a B.S., 7 years with an M.S., or 5 years with a Ph.D.; 10+ years in roles involving in-depth data analysis and reporting.
- Strong statistical background and experience designing experiments using DOE.
- Experience with laboratory or manufacturing data and work in regulated environments.
- Expertise with statistical tools such as Minitab or JMP and advanced Excel statistical capabilities, including complex and large datasets.
- Formal DMAIC experience, strong collaboration skills, and the ability to communicate data-driven business recommendations.
Nice to have
- Experience automating statistical analysis with Python.
- Experience developing Excel macros and templates for scientists.
- Formal Design for Six Sigma experience.
- GMP, GLP, or GDP experience in medical devices or drug products.
Culture & Benefits
- Flexible workplace policy with regular in-person collaboration and a minimum of three onsite days per week.
- Medical, dental, and vision coverage beginning on the first day.
- Life, accident, disability, and business travel accident insurance.
- 401(k) retirement plan, flexible spending accounts, and educational assistance.
- Paid holidays, 20–35 days of paid time off based on length of service, family and medical leave, and paid parental leave.
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