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Wearable Data Science Jobs in Romeoville, IL (NOW HIRING)

Prolaio

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical ... Deep understanding of data from cardiology focused wearables devices, claims, socioeconomic ...

Prolaio

Data Architect, Clinical

Chicago, IL

$65.75 - $84.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical ... Deep understanding of data from cardiology focused wearables devices, claims, socioeconomic ...

Prolaio

Product Manager, Digital Biomarkers

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Sciences * Deep familiarity with clinical trial endpoints across modalities-digital measures, wearable and sensor data, lab-based biomarkers, and ePRO/eCOA * Hands-on experience taking a measure or ...

Prolaio

Product Manager, Digital Biomarkers

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Sciences * Deep familiarity with clinical trial endpoints across modalities-digital measures, wearable and sensor data, lab-based biomarkers, and ePRO/eCOA * Hands-on experience taking a measure or ...

Radwell International

Pricing Analyst

Downers Grove, IL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will be responsible for leveraging data science, advanced analytics, and machine ... All employees are encouraged to wear "Radwear" (shirt with company logo) once the initial supply ...

S&S Activewear LLC

Commercial Analyst

Bolingbrook, IL · On-site

$75K - $100K/yr

... athletic wear, headwear, workwear, scrubs and accessories. We pride ourselves on being the ... Partner with Data Science to quantify the impact of commercial activities and guide prioritization ...

The University of Chicago

Full Stack Engineer

Chicago, IL · On-site

  • Medical

  • Retirement

  • PTO

The TMW Center has launched a wearable device and an accompanying app that uses machine learning to ... Advanced Degree in data science, data analytics, computer science, software engineering or related ...

University of Chicago Library

Full Stack Engineer

Chicago, IL · On-site

  • Medical

  • Retirement

  • PTO

The TMW Center has launched a wearable device and an accompanying app that uses machine learning to ... Advanced Degreein data science, data analytics, computer science, software engineering or related ...

BioFire Diagnostics

QC Technician II - Accellix.

Lombard, IL

$25.50 - $36.90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data systems. * Experience in biotechnology, diagnostics, life sciences, or a regulated ... Ability to wear required personal protective equipment (PPE). * Ability to work in a laboratory ...

bioMerieux

QC Technician II - Accellix.

Lombard, IL · On-site

$25.50 - $36.90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data systems. * Experience in biotechnology, diagnostics, life sciences, or a regulated ... Ability to wear required personal protective equipment (PPE). * Ability to work in a laboratory ...

Biomerieux

QC Technician II - Accellix.

Lombard, IL · On-site

$25.50 - $36.90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data systems. * Experience in biotechnology, diagnostics, life sciences, or a regulated ... Ability to wear required personal protective equipment (PPE). * Ability to work in a laboratory ...

The Fresh Factory

Lead R&D Product Developer

Downers Grove, IL

$58.75 - $77/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

They will work closely with a team of scientists and researchers to innovate, develop new products ... Their role will involve designing and executing experiments, analyzing data, and providing ...

The Fresh Factory

Lead R&D Product Developer

Downers Grove, IL · On-site

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

They will work closely with a team of scientists and researchers to innovate, develop new products ... Their role will involve designing and executing experiments, analyzing data, and providing ...

The Fresh Factory

Lead R&D Product Developer

Downers Grove, IL · On-site

$90K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

They will work closely with a team of scientists and researchers to innovate, develop new products ... Their role will involve designing and executing experiments, analyzing data, and providing ...

bioMerieux

QC Technician II - Accellix.

Lombard, IL

$25.50 - $36.90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data systems. * Experience in biotechnology, diagnostics, life sciences, or a regulated ... Ability to wear required personal protective equipment (PPE). * Ability to work in a laboratory ...

bioMérieux

QC Technician II - Accellix.

Lombard, IL · On-site

$25.50 - $36.90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... data systems. * Experience in biotechnology, diagnostics, life sciences, or a regulated ... Ability to wear required personal protective equipment (PPE). * Ability to work in a laboratory ...

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All JobsWearable Data Science JobsWearable Data Science Jobs in Romeoville, IL

Wearable Data Science information

What is the difference between Wearable Data Science vs Wearable Data Analyst?

AspectWearable Data ScienceWearable Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization tools
Work EnvironmentResearch labs, tech companies, healthcare startupsHealthcare providers, fitness companies, wearable device firms
Employer & Industry UsageDevelops algorithms, models, and wearable tech innovationsAnalyzes wearable data to inform decisions, improve products, and report findings

Wearable Data Science focuses on developing algorithms and models to interpret wearable device data, often involving machine learning. Wearable Data Analysts interpret and visualize this data to support business or healthcare decisions. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What is wearable data science?

Wearable data science is a field focused on analyzing and interpreting data collected from wearable devices such as smartwatches, fitness trackers, and health monitors. Professionals in this area develop methods to process large volumes of sensor data to gain insights into health, activity, and behavior patterns. The insights can be used to improve health outcomes, enhance user experiences, and support research in various domains including healthcare, sports, and consumer technology.

What are the key skills and qualifications needed to thrive as a wearable data scientist, and why are they important?

To thrive as a Wearable Data Scientist, you need a solid background in data analysis, statistics, machine learning, and a relevant degree in fields like computer science, engineering, or data science. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of wearable sensor platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate complex data into actionable insights. These skills are vital for developing accurate models and delivering meaningful results that drive innovation in wearable technology.

How do wearable data scientists typically collaborate with hardware engineers and software developers during product development?

Wearable data scientists work closely with hardware engineers to understand sensor specifications and data collection constraints, ensuring that the data is accurate and usable for analysis. They also collaborate with software developers to integrate data processing algorithms into wearable devices or companion apps, often providing feedback on data flow, storage, and real-time analytics. This cross-functional teamwork is essential for developing robust products that deliver actionable insights to users and meet technical requirements.

What job categories do people searching Wearable Data Science jobs in Romeoville, IL look for?

The top searched job categories for Wearable Data Science jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Wearable Data Science jobs?

Cities near Romeoville, IL with the most Wearable Data Science job openings:

Wearable Data Science jobs near you
Infographic showing various Wearable Data Science job openings in Romeoville, IL as of August 2026, with employment types broken down into 60% Full Time, 19% Part Time, 6% Temporary, and 15% Contract. Highlights an 100% In-person job distribution.

Data Architect, Clinical

Prolaio

Chicago, IL • On-site

$65.75 - $84.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Who Are We?
Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.
This is precision cardiology, and we know it's within reach.
What Will You Do?
The Overview
The Data Architect will shape the backbone of Prolaio's healthcare data ecosystem, defining and scaling the architectures that power clinical intelligence products, real-world data pipelines, analytics, data science, clinical operations, quality, and other enterprise use cases in a regulated environment. In this role, you turn complex clinical and operational data into interoperable, trustworthy, and scalable platforms that enable Prolaio to transform continuous, predictive, and shareable heart data into faster therapeutic discovery and better cardiovascular outcomes.
This role is ideal for a self-starter with deep healthcare data experience who wants to architect modern platforms across structured, semi-structured, and unstructured data, embedding lifecycle management, standardization, lineage, provenance, compliance, and AI enablement into the foundation of Prolaio's data ecosystem.
The Specifics
  • Define the target-state data architecture and roadmap for Prolaio's regulated healthcare data platform in support of product, analytics, data science, data services, clinical operations, and quality use cases.
  • Architect scalable, secure, and interoperable data platforms that support structured, semi-structured, and unstructured data across clinical, operational, device, and patient-generated sources relevant to Prolaio's cardiovascular and research mission.
  • Lead architecture decisions for storage, compute, orchestration, metadata, APIs, and integration patterns across cloud-native environments and modern data platforms.
  • Establish architecture standards and reference patterns that support reliability, performance, extensibility, and validated operation in regulated settings.
  • Design and govern conceptual, logical, and physical data models for clinical trials, cardiovascular and physiological data, real-world data, claims, medication, socio-economic, behavioral, and related healthcare datasets.
  • Apply healthcare terminologies, ontologies, and common data models where appropriate, including standards such as HL7, FHIR, ICD, SNOMED CT, LOINC, RxNorm, OMOP, and CDISC.
  • Lead efforts to standardize and normalize disparate data sources into governed, reusable, analysis-ready datasets suitable for regulated workflows, clinical research, and product development.
  • Architect end-to-end data flows and reusable pipelines for ingestion, validation, transformation, enrichment, publishing, retention, archival, and decommissioning across batch, streaming, and hybrid workloads.
  • Define and implement data lifecycle management practices that support retention, access control, traceability, reproducibility, lineage, provenance, and auditability in regulated healthcare environments.
  • Design data architectures that enable AI, analytics, and machine learning use cases by supporting feature generation, retrieval workflows, governed access, and production deployment needs.

Why Prolaio?
  • Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
  • Innovative Environment: You will be part of an organization doing something that's never been done before.
  • Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
  • Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?
  • Bachelor's degree in computer science, Data Engineering, Information Systems, Biomedical Informatics, Engineering, or a related field.
  • Minimum 10 years of experience in healthcare, life sciences, medtech, digital health, or other patient-data-focused environments, including at least 5 years in clinical data, real-world data, clinical trials data, or other patient-centered data platforms.
  • Demonstrated experience architecting healthcare data platforms that support structured, semi-structured, and unstructured data in regulated or validated environments.
  • Deep understanding of data from cardiology focused wearables devices, claims, socioeconomic, behavioral, and EHR.
  • Deep understanding of healthcare data domains, data modeling, standardization, normalization, and the application of healthcare terminologies and common data models.
  • Strong experience working in a cross-functional, matrixed organization and partnering effectively with Product, Engineering, Data Science, Analytics, Clinical Operations, Quality, and Security teams, with the ability to operate as a self-starter in a growth-stage environment.
  • Strong familiarity with cloud platforms such as GCP, AWS, or Azure and modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or comparable environments.
  • Experience with ETL or ELT, orchestration, and large-scale data processing tools such as dbt, Airflow, Dagster, Spark, Kafka, Fivetran, Informatica, Talend, or similar technologies.
  • Strong SQL and Python skills, with familiarity in APIs, event-driven architectures, interoperability frameworks, and clinical data exchange patterns such as HL7 and FHIR
  • Familiarity with metadata, lineage, catalog, governance, and AI-enablement tools, including platforms for semantic indexing, vectorization, retrieval, and data lifecycle automation.

Why You'll Love Working Here
  • Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
  • Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
  • Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
  • Time to Recharge: Generous paid time off, sick leave, and company holidays.
  • Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
  • Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
  • Plan for the Future: 401(k) plan to help you build long-term financial security.
  • Care When You Need It: Easy access to telehealth and optional supplemental coverage for life's unexpected moments.

Starting Salary is at $148,000.00 (Exact Compensation may vary based on skills, experience, and location)

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