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Wearable Data Science Jobs (NOW HIRING)

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

... wearable, and wellness services. Fullpower is seeking a passionate, team-oriented, and self ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... wearable, and wellness services. Fullpower is seeking a passionate, team-oriented, and self ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Ability to wear PPE correctly most of the day - Yes * Typical office setting * Domestic travel ...

Description bioMerieux's Data Science group is looking for an experienced Data Scientist to help ... Ability to wear PPE correctly most of the day - Yes * Typical office setting * Domestic travel ...

Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering ... Required to wear personal protective equipment where applicable. * Subject to frequent ...

bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop ... Ability to wear PPE correctly most of the day - Yes * Typical office setting * Domestic travel ...

Education - * Bachelor's degree in Data Science, Computer Science, Statistics, Engineering ... Required to wear personal protective equipment where applicable. * Subject to frequent ...

Senior Data Scientist

Brooklyn, NY · On-site +1

$100K - $150K/yr

... data science or solutions architecture role * Proficient with Python, SQL * Have the willingness to wear many hats, be passionate about unblocking issues for customers, and have an excitement for ...

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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 cities are hiring for Wearable Data Science jobs? Cities with the most Wearable Data Science job openings:
What states have the most Wearable Data Science jobs? States with the most job openings for Wearable Data Science jobs include:
Infographic showing various Wearable Data Science job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, and 96% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Postdoctoral Scientist Data Science AI/ML & DH

Johnson & Johnson

Cambridge, MA

$77K - $108K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Johnson & Johnson rating

8.1

Company rating: 8.1 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

33rd of 73 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Post Doc - Data Analytics & Computational Sciences

Job Category:

Career Program

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Data Science and Digital Health (DSDH) function within Johnson & Johnson Innovative Medicine Research & Development, is recruiting for the role ofPostdoctoral Scientist AI/ML & DH.

The location for this position is Cambridge, MA; Titusville, NJ; Spring House, PA or Beerse, Belgium

Johnson & Johnson Innovative Medicine Research & Development develops treatments that improve the health of people worldwide. Research and development areas encompass multiple therapeutic areas (TA) including oncology, cardiopulmonary, immunology and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market, from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine R&D, please visit https://innovativemedicine.jnj.com/us/

TheAI/ML and Digital health team within Johnson & Johnson Innovative Medicine Research & Development is a part of Data Science & Digital Health (DSDH) function and develops innovative AI/ML and analytical solutions using a variety of data sources across multiple diseases and therapeutic areas. We are looking for outstanding candidate for the role of Postdoctoral Scientist AI/ML & DH whose responsibilities include:

Key Responsibilities:

  • Analyze data from wearable sensors to develop digital biomarkers using methodologies from signal processing and AI.

  • Prepare and process raw sensor data streams to extract clinically relevant and novel features.

  • Build novel or enhance existing AI algorithms or time-series models for digital endpoint development and validation.

  • Build sensor data analysis and modeling pipelines to develop re-usable software assets.

  • Partner with cross-functional teams to execute on developing,adapting,and deliveringdigital health solutions. This includes defining "what" and "why" particular digital phenotype needs to be measured, developing analytical strategy and designing specific experiments.

  • Communicate results to internal stakeholders and external partners through project reports and peer reviewed research publications

Required qualifications:

  • A recent Ph.D. degree within 3 years in computer science, electrical engineering, biomedical engineering, or related discipline.

  • Extensive experience in analyzing high frequency data from wearable biosensors (e.g., accelerometer, ECG, PPG).

  • Strong background and proven experience in developing or implementing advanced state of the art AI and signal processing methods.

  • Experience with large scale data processing and integrating multi-modal datasets.

  • Proficiency in one or more programming languages such as Python, R, MATLAB and writing re-usable and well documented code.

  • Demonstrated scientific excellence as measured by publications and presentations.

  • Excellent interpersonal, communication, and presentation skills.

  • Ability to work in a dynamic and collaborative environment.

Preferred qualifications:

  • Familiarity with drug discovery and the clinical development process.

  • Hands-on experience with digital endpoint/biomarker validation frameworks

Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$77,000 to $108,000

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

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