Data Scientist - Sciences

Vantive; Saint Paul (MN); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

401(k) retirement plan

Flexible Spending Accounts

Paid holidays

Parental leave

Commuting benefits

Employee Discount Program

EAP

Childcare benefits

Job summary

Vantive in Minnesota is seeking a Data Scientist to join Global R&D Sciences. You will design experiments, analyze data from lab and manufacturing contexts, and generate quantitative insights to improve efficiency and accuracy across projects.

This role requires a strong statistical background, experience with DOE, DMAIC, and tools like Minitab, JMP, Python, and Excel. You will educate the team, influence decisions with data, and report findings to R&D leadership.

Qualifications

• Degree in engineering, sciences, math/statistics or similar.
• 10+ years data analyses and reporting experience.
• GMP/GLP/GDP experience in medical devices/pharma preferred.
• Expert in Minitab or JMP statistical tools.
• Excel-based statistical analysis for business decisions.
• Proficient in Python for automating data analyses.
• DMAIC/Lean Six Sigma experience required; Six Sigma preferred.
• Experience in regulated environments.

Responsibilities

• Support R&D projects with lab testing designs and data analyses.
• Design experiments and assist others in DOE; define variables and controls.
• Ensure statistical rigor in testing and analyses.
• Perform sample size, hypothesis testing, and error assessments.
• Conduct multivariate analyses to assess system sensitivity.
• Educate and mentor the Science team on these methods.
• Provide periodic updates to R&D Sciences management

Skills

Statistical mindset

Multidisciplinary collaboration

DOE (design of experiments)

Influence decisions with data

Business value storytelling with data

Lab/manufacturing data experience

Education

Bachelor's degree in engineering, sciences, math/statistics or similar

MS or PhD preferred

Tools

Minitab

JMP

Excel

Python

Excel macros

Job description

Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we build on our legacy, we are deepening our commitment to elevating the dialysis experience through digital solutions and advanced services, while looking beyond kidney care and investing in transforming vital organ therapies. Greater flexibility and efficiency in therapy administration for care teams, and longer, fuller lives for patients— that is what Vantive aspires to deliver. We believe Vantive will not only build our leadership in the kidney care space, it will also offer meaningful work to those who join us. At Vantive, you will become part of a community of people who are focused, courageous and don’t settle for the mediocre. Each of us is driven to help improve patients’ lives worldwide. Join us in advancing our mission to extend lives and expand possibilities.

Your Role

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design experiments and analyze data optimizing experimental efficiency and minimize the risks of accuracy, precision and errors (type I and type II) and generate quantitative insights. The Data Scientist will be an educator and collaborator, training the team on design of experiments and data analysis in addition to reviewing protocols (from statistical rigor standpoint), data and reports to improve the statistical interpretation of results and conclusions drawn from the testing.

What You’ll Be Doing

• Supporting R&D projects and products through input on designs of laboratory testing and/or the analyses of existing data.
• Devising new approaches to complex problems through adaptations and modifications of standard technical principles, e.g., DMAIC, experimental DOE, and Hypothesis testing.
• Assure the use of appropriate statistical rigor in testing and data analyses.
• Designing experiments and assisting others with design of experiments, including:
  • Determining variables assessed versus those remaining fixed
  • Bounding the design space
  • Identifying controls for the experiment
  • Determining if R&R is needed, and if so, how the assessment is performed
• Aiding with statistical assessments
  • Sample size determination
  • Null hypothesis
  • Type 1 and Type 2 errors
• Evaluating the data
  • Determining variability of the data
  • Where necessary determining normalcy, limit of detection, limit of quantification and/or assessing difference
• Performing multivariant analyses to assess the sensitivity of the system and impact of the different variables. And using this information to optimize the system or design further testing.
• Educating the Science team on how to perform these activities for themselves.
• Providing periodic updates to R&D Sciences management.

What You’ll Bring

• Engineering or Science background with strong statistical mind set
• Demonstrated ability and interest to work within a multidisciplinary team environment
• Ability to drive results on multiple simultaneous projects
• Experience working with laboratory or manufacturing data
• Experience designing experiments (DOE)
• Ability to influence management on courses of action using data analyses with minimal assistance using both written and verbal methods.
• Must be able to provide solutions that reflect understanding business objectives and cost implications.
• Must be able to develop and tell business value proposition story using data

Education And/or Experience

• Degree in engineering, sciences, math/statistics or similar disciplines.
• B.S. with greater than 10+ years of related experience or M.S. with greater than 7+ years of related experience or Ph.D. with greater than 5+ years of related experience.
• 10+ years’ work in a position requiring in depth data analyses and reporting
• Experience working in a regulated environment, such as medical device or pharmaceuticals preferred
• Strong statistical background is required (through education and/or work experience)
• Expert level user of common statistical tools like Minitab or JMP
• Expert level user of statistical capabilities in Excel to solve business problems using complex and large data sets.
• Expertise in automating statistical data analysis using Python is preferred
• Comfort with developing Excel macros and providing such templates to scientists
• Formal DMAIC experience is required, Formal Design for Six Sigma experience preferred
• GMP/GLP/GDP experience in medical devices and drug products highly preferred

Advanced Molding and Extrusion techniques (Learning / Doing (1)), Advanced Molding and Extrusion techniques (Learning / Doing (1)), Automation, reliability & smart manufacturing (Applying / Overseeing (2)), Bar coding, Printing, & Label Specifications (Applying / Overseeing (2)), Critical Systems (Learning / Doing (1)), Data Analysis & Analytics (Applying / Overseeing (2)), Digitalization & Systems Engineering (Applying / Overseeing (2)), First Principles Thinking (Applying / Overseeing (2)), In-depth Understanding of Operational Systems (Applying / Overseeing (2)), Instrumentation (Leading / Driving (4)), Laboratory Maintenance & Material Tracking (Not Applicable (0)), Lean & six sigma process knowledge (Applying / Overseeing (2)), Machine Learning & Artificial Intelligence (Not Applicable (0)), Manufacturing & Process Knowledge (Applying / Overseeing (2)), Manufacturing Process Knowledge (Leading / Driving (4)), Modeling & Simulation (Leading / Driving (4)), Operational Quality Assurance (Applying / Overseeing (2)), Packaging Assessments (Applying / Overseeing (2)), Packaging Design (Applying / Overseeing (2)), Packaging Regulatory Standards & Requirements (Applying / Overseeing (2)), Packaging Validation (Applying / Overseeing (2)), Packaging Verification Study Development & Testing Standards (Applying / Overseeing (2)), Process Automation (Applying / Overseeing (2)), Product / Project Management (Applying / Overseeing (2)), Product & Medical Packaging Materials / Equipment Knowledge (Applying / Overseeing (2)) {+ 8 more}

US Benefits At Vantive

This is where your well-being matters. Vantive offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical, dental and vision coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Aon Pooled Employer Plan (“Aon PEP”), Vantive’s 401(k) retirement savings plan, to help you prepare for your future. The Aon PEP is designed to help improve retirement outcomes by providing retirement resources more efficiently. The plan offers a robust set of investment options, financial education, and a suite of resources to support your retirement goals. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees.

Equal Employment Opportunity

Vantive is an equal opportunity employer. Vantive evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Reasonable Accommodation

Vantive is committed to working with and providing reasonable accommodations to individuals with disabilities globally.

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