1

Flex Biotech Data Science Jobs in Wisconsin (NOW HIRING)

Demonstrates proficiency in the end-to-end data science pipeline from data ingestion and cleaning ... NYP will not reimburse for travel expenses. _____ * 2026 Best Companies in Healthcare, Biotech ...

Data Scientist

Cornell, WI ยท On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... NYP will not reimburse for travel expenses. _____ * 2026 Best Companies in Healthcare, Biotech ...

Data Scientist

Cornell, WI ยท On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... NYP will not reimburse for travel expenses. _____ * 2026 Best Companies in Healthcare, Biotech ...

Data Analysis & Reporting * Uses statistical tools to gather, analyze, and interpret shopfloor data ... Bachelor's degree in Food Science, Dairy Science, Engineering, or related field preferred. * 2-5 ...

Data Analysis & Reporting * Uses statistical tools to gather, analyze, and interpret shopfloor data ... Bachelor's degree in Food Science, Dairy Science, Engineering, or related field preferred. * 2-5 ...

Analytics Manager

Cornell, WI ยท On-site

$139K - $193K/yr

In this role, you will partner with business leaders, data engineers, data scientists, and other ... NYP will not reimburse for travel expenses. _____ * 2026 Best Companies in Healthcare, Biotech ...

Proficiency with Microsoft Word and Excel for documentation, data analysis, and reporting. Additional Skills & Qualifications * Master's degree or Ph.D. in Food Science, Dairy Science, Biotechnology ...

next page

Showing results 1-20

Flex Biotech Data Science information

What are the key skills and qualifications needed to thrive as a Flex Biotech Data Scientist, and why are they important?

To thrive as a Flex Biotech Data Scientist, you need a strong background in biology, statistics, and data analysis, typically supported by a degree in bioinformatics, computational biology, or a related field. Expertise in programming languages (such as Python or R), experience with bioinformatics tools, and familiarity with platforms like SQL databases and machine learning frameworks are essential. Strong problem-solving skills, collaboration, and the ability to communicate complex findings to non-technical stakeholders make candidates stand out. These skills are crucial for extracting actionable insights from complex biological data, driving innovation, and supporting research and development in biotech environments.

How do Flex Biotech Data Science professionals typically collaborate with laboratory and research teams?

Flex Biotech Data Science professionals often work closely with laboratory scientists and research teams to interpret experimental data, refine data collection methods, and translate complex results into actionable insights. This collaboration involves regular meetings to discuss ongoing projects, sharing data findings, and providing statistical expertise to optimize research outcomes. Effective communication and a solid understanding of both computational and biological concepts are essential for bridging the gap between data science and laboratory work.

What is a Flex Biotech Data Scientist?

A Flex Biotech Data Scientist is a professional who applies data science and analytical techniques within the biotechnology sector, often in flexible or cross-functional roles. They analyze large sets of biological and clinical data to support research, development, and innovation in biotech companies. Flex roles may involve working on various projects, collaborating with interdisciplinary teams, and utilizing skills in programming, statistics, and biology. Their work helps drive discoveries, optimize experiments, and improve decision-making processes in the biotech industry.

What is the difference between Flex Biotech Data Science vs Flex Biotech Data Analysis?

AspectFlex Biotech Data ScienceFlex Biotech Data Analysis
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams in biotech or healthcare companies, often involving complex data modelingOperational settings focusing on data reporting, visualization, and supporting decision-making
Employer & Industry UsageUsed in biotech firms, pharmaceutical companies, and research institutionsCommon in biotech companies, healthcare providers, and research organizations

Flex Biotech Data Science roles focus on developing predictive models and advanced analytics, requiring programming skills and a strong statistical background. Flex Biotech Data Analysis positions emphasize interpreting data, creating reports, and supporting business decisions with less emphasis on coding. Both roles are vital in biotech but differ in technical complexity and responsibilities.

What are the most commonly searched types of Biotech Data Science jobs in Wisconsin? The most popular types of Biotech Data Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Flex Biotech Data Science jobs? Cities in Wisconsin with the most Flex Biotech Data Science job openings:

Senior Data Scientist

NYP - Westchester Division

Cornell, WI โ€ข On-site

Full-time

Medical, Life

Posted 9 days ago


Job description

LocationNew York, New YorkShift:Day (United States of America)Description:

Senior Data Scientist

Position Summary

Works closely with multi-disciplinary teams, including intuitional leaders and other key stakeholders in the development and implementation of data driven insights and strategies to advance institutional goals and mission. Performs advanced analyses of structured and unstructured data to solve multiple and/or complex problems using advanced statistical techniques, mathematical analyses (including machines learning), and knowledge of the organization and/or industry.

Essential Job Duties

  • Assists in translating project objectives into discrete and comprehensive description of necessary data and other resources. Aids in the development plan(s) to mitigate impact due to any limitations in available data/resources.
  • Assists in the definition of milestones, deliverables, and estimates timelines for all assigned projects. Assumes an ownership role of some tasks, as appropriate, and effectively coordinates across teams to reach defined milestones.
  • Identifies and accesses necessary data assets across cloud and on-premises data warehouses.
  • Collaborates with subject matter experts to ensure accurate data definitions and to validate quality of all data endpoints as required.
  • Utilizes strong programming skills to evaluate, explore, model, and integrate data from a variety of sources (EHR, national databases, other registries, other data systems/platforms). Demonstrates experience working with data from diverse modalities (structured, unstructured).
  • Develops and/or uses algorithms and statistical predictive models. Applies proficient knowledge in algorithms and predictive models to investigate problems, detect patterns, and relate findings to project's objective(s).
  • Demonstrates proficiency in the end-to-end data science pipeline from data ingestion and cleaning to experimenting with predictive models to deployment of results.
  • Writes, validates, and executes code to perform required modeling or analytical tasks by way of cloud and local compute environments (CPU or GPU).
  • Creates informative and detailed reports, as well as data visualizations to summarize data and results; understands and evaluates appropriate performance metrics.
  • Actively engages in meetings with stakeholders. Contributes content to, and may lead, presentations or auxiliary discussions of summary reports with audience.
  • Follows best practices in documentation and use of code repositories, containers/environments, and version control. Works to ensure best practices are upheld and enforced.
  • Adheres to all institutional policies and practices for appropriate use and safeguarding of data.
  • Assists junior data scientists with tasks, as appropriate.
  • Maintains multiple projects simultaneously and functions effectively both independently and as part of a team.
  • Keeps abreast of innovative technologies and approaches pertinent to data science; evaluates their applicability and fit for current projects.
  • Performs other special projects and duties as assigned.

Required Qualifications

  • Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience
  • 3+ years of research experience in managing and analyzing data, and proven expertise working with clinical and research information systems
  • Strong analytic skills and ability to use a variety of software tools such as R, SAS, SQL, MS Excel, and MS Access
  • Experience analyzing and interpreting data, maintaining and managing large datasets, and ensuring the integrity of the data
  • Outstanding interpersonal skills and the ability to excel in team collaboration as well as in independent work

Preferred Qualifications

  • Doctorate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, or Biometrics

Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today.

Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.

NYP will not reimburse for travel expenses.

__________________

  • 2026 Best Companies in Healthcare, Biotech & Pharma - Glassdoor

  • 2026 Best Place to Work - Glassdoor

  • 2026 America's Best Large Employers - Forbes

  • 2026 America's Best-In-State Employers - Forbes

  • 2026 America's Dream Employers - Forbes

  • 2026 America's Greatest Workplaces for Culture, Belonging & Community - Newsweek

  • 2026 Best Places to Work in IT - Computerworld

  • 2025 Great Place to Work Certified

  • 2025 Best Employers for Women - Forbes

  • 2025 Companies that Care - People

  • 2025 America's Greatest Workplaces for Mental Well-Being - Newsweek

NewYork-Presbyterian Hospital is an equal opportunity employer.

Salary Range:

$97,000-$145,000/Annual

It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.