Назад
Company hidden
9 дней назад

Data Scientist - Sciences (Medical Devices)

128 000 - 160 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →