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Data Science In Healthcare Jobs in Wisconsin (NOW HIRING)

Iff

Life Science Data Engineer

Madison, WI

$115K - $138K/yr

... healthcare, food, consumer and industrial markets. As a Life Science Data Engineer, you will play a key role in advancing digital transformation within microbiology and microbiome research and ...

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

About the Role In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and ...

Newance

Senior Data Scientist

Green Bay, WI · On-site

As a member of our Data Science team, you will play a crucial role in leveraging, building and developing analytical tools to solve complex business problems. You will also be expected to act as ...

Deloitte

Data Scientist

Milwaukee, WI

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Generac

Data Scientist II

Waukesha, WI

As a senior member of the team, you will have significant responsibility and influence in shaping its future direction. We are looking for someone that leads data science projects from start to ...

Sprinklr

They will also serve as a Product Manager of the data science and AI model(s), capturing feedback ... We offer you and your family voluntary healthcare coverage in countries where applicable. We ...

Gehc

Data Manager - AI Development

Waukesha, WI

Bachelor's degree in Engineering, Computer Science, Data Science, Biomedical Engineering, or a ... Experience supporting AI / machine learning development teams, particularly in healthcare or ...

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All JobsData Science In Healthcare JobsData Science In Healthcare Jobs in Wisconsin

Data Science In Healthcare information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do data science in healthcare jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data science in healthcare in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.
What are popular job titles related to Data Science In Healthcare jobs in Wisconsin? For Data Science In Healthcare jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science In Healthcare jobs in Wisconsin look for? The top searched job categories for Data Science In Healthcare jobs in Wisconsin are:
Data Science In Healthcare jobs near you
Infographic showing various Data Science In Healthcare job openings in Wisconsin as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $166,561 per year, or $80.1 per hour.
Life Science Data Engineer

Life Science Data Engineer

International Flavors & Fragrances, Inc.

Madison, WI • On-site

$115K - $138K/yr

Full-time

Posted 10 days ago

International Flavors & Fragrances rating

8.1

Company rating: 8.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

104th of 516 rated manufacturers

Job description

Job Summary
Are you passionate about transforming complex biological data into scalable solutions that drive scientific discovery?
IFF is a global leader in flavors, fragrances, food ingredients and health & biosciences. We deliver sustainable innovations that elevate everyday products.
Health & Biosciences: Channeling our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.
As a Life Science Data Engineer, you will play a key role in advancing digital transformation within microbiology and microbiome research and development. You will partner with scientists, bioinformaticians, and statisticians to design and scale data systems supporting experimental workflows, enabling data-driven discovery and real-world application of microbiome insights.
The role is based in Madison, Wisconsin (on-site role). Be part of a collaborative, innovative, and solution-oriented team where together we can achieve meaningful impact. Your potential is our inspiration.
Where You'll Make a Difference
  • Collaborate with scientific teams to design scalable data capture systems and user-friendly visualizations of experimental results
  • Design and implement database architectures, data models, and automated data pipelines across platforms (e.g., Amazon Web Services, Laboratory Information Management Systems, Benchling, and contract research organization systems)
  • Develop structured data models capturing microbial strain metadata, growth conditions, and experimental outputs
  • Partner with researchers to standardize experimental metadata, ontologies, and data structures to improve data quality, reproducibility, and traceability
  • Build and maintain data warehouses supporting probiotic growth, strain characterization, and clinical datasets
  • Develop and implement robust data quality and integrity checks across data ingestion workflows, including integration of externally generated clinical data
  • Build pipelines integrating multi-modal datasets (e.g., sequencing, metabolomics, in vitro assays, and clinical endpoints)
  • Partner cross-functionally to prototype and deploy digital solutions that enhance research and development efficiency and scalability

What Makes You the Right Fit
  • Ph.D. in Data Engineering, Computational Biology, Data Science, or a related field with relevant experience; or M.S. with equivalent professional experience
  • Strong Structured Query Language (SQL) skills and experience with database systems such as SQL Server, PostgreSQL, or Oracle
  • Proficiency in Python, R, or Spark for data processing and analysis
  • Experience working with biological or experimental datasets with complex metadata structures
  • Familiarity with statistical or computational analysis of biological systems
  • Demonstrated ability to manage multiple projects and work independently in a dynamic environment
  • Strong communication and collaboration skills, with experience partnering effectively with scientific teams
  • Experience designing scalable data architectures and optimizing data workflows for downstream users

How Would You Stand Out?
  • Knowledge of clinical data standards and models (e.g., Observational Medical Outcomes Partnership (OMOP), Clinical Data Interchange Standards Consortium (CDISC)) and healthcare coding systems
  • Experience working with microbiome or host-microbiome datasets, including translational or clinical research
  • Understanding of microbial physiology, fermentation processes, or multi-omics data integration

Why Choose Us?
  • Opportunity to work on impactful, real-world data and digital transformation projects
  • Exposure to cutting-edge microbiome and probiotic research
  • Collaborative environment with highly skilled scientists, engineers, and data experts
  • Access to learning and development opportunities to grow technical and domain expertise
  • Inclusive and purpose-driven culture focused on innovation and sustainability

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.
Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

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