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Wearable Data Science Jobs (NOW HIRING)

... wearable sensors, predicting causality markers for diseases, developing foundation models, and ... Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific ...

... wearable sensors, predicting causality markers for diseases, developing foundation models, and ... Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific ...

... Science. In this role, you'll apply your knowledge of clinical outcomes assessments and emerging sensor or wearable data collection technologies to drive meaningful insights. Your contributions will ...

Data Scientist

New York, NY · On-site +1

$180K - $220K/yr

With more and more data coming from wearables, lab tests, and patient-doctor interactions, we're ... Own the research and modeling work underlying Junction's highest-priority data science ...

Software Engineer, Clinical Data

Seattle, WA

$130K - $156K/yr

You'll apply solid computer science fundamentals to solve complex problems in distributed systems ... wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth ...

Software Engineer, Clinical Data

Seattle, WA · On-site

$130K - $156K/yr

You'll apply solid computer science fundamentals to solve complex problems in distributed systems ... wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth ...

... to wear a data engineering hat to land data into our central warehouse, an analytics engineering hat to model, document, and test it, and a data science hat to analyze it, build dashboards, and ...

Contribute to building strong data foundations as part of our awesome data science team What You'll ... A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

Required : • Bachelor's degree in computer science, Data Engineering, Information Systems ... cardiology focused wearables devices, claims, socioeconomic, behavioral, and EHR. • Deep ...

Data Architect, Clinical

Chicago, IL · On-site

$65.75 - $84.50/hr

Required : • Bachelor's degree in computer science, Data Engineering, Information Systems ... cardiology focused wearables devices, claims, socioeconomic, behavioral, and EHR. • Deep ...

... wearable health data to improve women's health outcomes. You will lead complex projects, mentor ... And 3+ years of industry experience in machine learning and data science. * 5+ years of advanced ...

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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.
More about Wearable Data Science jobs
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:
Data Scientist

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding biological datasets to address national security needs. The Group’s efforts include developing software architectures and systems, bioinformatics tools, and AI algorithms to further the nation’s efforts in biomedical, health, chemical and biological defense, biosecurity, public and global health and warfighter performance.

Position Description

Associate Staff – Data Scientist

The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding biological datasets to address national security needs. The Group’s efforts include developing software architectures and systems, bioinformatics tools, and AI algorithms to further the nation’s efforts in biomedical, health, chemical and biological defense, biosecurity, public and global health and warfighter performance.

The BioAnalytics Systems and Technologies Group is looking for a candidate to join a multi-disciplinary team engaged in developing and applying new AI models for a broad set of applications: chemical and biological detection from wearable sensors, predicting causality markers for diseases, developing foundation models, and using GenAI models for a broad range of biomedical and clinical applications.  The position will involve leading the development of AI/ML models, data curation, planning and conducting field data collections, leading small programs, collaborating with other scientists and engineers, and communicating results both in written and oral form.

Job Requirements
  • Master’s in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor’s degree with 3 to 5 years of directly related experience will be considered.
  • Experience with AI development including applying large language models (LLMs) for retrieval-augmented generation (RAG) for biomedical problems.
  • Experience in developing data pipelines from harmonizing, curating and aggregating data. Familiarity with molecular, physiological and/or clinical data a plus
  • Ability to work collaboratively and lead highly interdisciplinary teams.
  • Demonstrated skills in scientific writing, as well as development and clear presentation of technical materials to a wide spectrum of technical and non-technical audiences a plus
  • Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic), proteomics, and chemical data using open-source and custom tools is highly desirable
  • This role is onsite only

Recent Graduate Hiring Range: $116,400 - $140,000 

Experienced Hiring Range: $116,400 - $182,200 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. 

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:  

  • Comprehensive health, dental, and vision plans 

  • MIT-funded pension 

  • Matching 401K 

  • Paid leave (including vacation, sick, parental, military, etc.) 

  • Tuition reimbursement and continuing education programs 

  • Mentorship programs 

  • A range of work-life balance options 

  • ... and much more!   

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks. 

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. 

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. 

Requisition ID: 42283