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Director Digital Health Research Jobs (NOW HIRING)

3M HEALTHCARE

Director, Digital Practice

Saint Louis, MO · On-site

$150 - $230/hr

Overview The Director, Digital Practice will shape and drive the development, selection, and integration of a platform of digital tools, technologies, applications, and methodologies across our AEC ...

Umusic

Creative Director, Digital

Los Angeles, CA · On-site

Partner with insights and research teams to translate fan behavior, performance data, and learnings ... Including 100% coverage for out-patient in-network mental health services * Fertility coverage for ...

Mckesson

Director, Digital Transformation

Concord, NC · On-site +1

$217K - $227K/yr

The Director, Digital Transformation serves as the strategic product leader responsible for the ... clinical research, healthcare technology, product management, or a related field. * 3+ years ...

McKesson

Director, Digital Transformation

Concord, NC · On-site +1

$217K - $227K/yr

The Director, Digital Transformation serves as the strategic product leader responsible for the ... clinical research, healthcare technology, product management, or a related field. * 3+ years ...

McKesson

Director, Digital Transformation

Concord, NC · On-site +1

$217K - $227K/yr

The Director, Digital Transformation serves as the strategic product leader responsible for the ... clinical research, healthcare technology, product management, or a related field. * 3+ years ...

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Director Digital Health Research information

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$49K

$122.4K

$214K

How much do director digital health research jobs pay per year?

As of Aug 23, 2026, the average yearly pay for director digital health research in the United States is $122,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $163,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Digital Health Research vs Digital Health Research Scientist?

AspectDirector Digital Health ResearchDigital Health Research Scientist
CredentialsAdvanced degrees (PhD, MD), leadership experienceMaster's or PhD in health sciences, research background
Work EnvironmentStrategic planning, team management, stakeholder engagementData collection, analysis, experimental design
Employer & Industry UsageHealthcare organizations, research institutions, tech companiesResearch labs, academic institutions, healthcare startups
Search & Comparison IntentLeadership, strategy, management roles in digital healthResearch, data analysis, scientific roles in digital health

The main difference is that the Director Digital Health Research oversees strategic initiatives and manages teams, while the Digital Health Research Scientist focuses on conducting scientific research and data analysis. Both roles require relevant advanced degrees, but the director position emphasizes leadership and project management within the digital health industry.

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What are the most commonly searched types of Digital Health Research jobs?

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Director Digital Health Research jobs near you
Infographic showing various Director Digital Health Research job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,439 per year, or $58.9 per hour.

2026 Fall Intern, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site

$44 - $63/hr

Other

Posted 16 days ago

Job description

2026 Fall Intern, Digital Health Algorithms

Samsung Research America Digital Health Algorithms Team collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access.

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

We are looking for Ph.D. candidates with solid ML/AI/GenAI technology background and digital health-related research project experiences in multi-modal physiological health algorithm development, large-scale wearable data analytics, and physiological signal processing. By leveraging smartphones, wearables, and hearables in health/wellness domain, your work will significantly benefit real-world consumers, patients, the elderly, physicians, and caregivers.

Samsung's unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities:

  • Work with an experienced digital health algorithm research team to develop novel and disruptive algorithms towards digital health services and solutions.
  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets to train and fine-tune ML/DL models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.

Required Skills:

  • Currently pursuing PhD degree in computer science, electrical engineering, biomedical engineering or related areas
  • Solid coding skills with prototyping experience in AI model development, data science, and machine learning
  • Experience in physiological signal processing, large-scale time-series data analytics in digital health domain
  • Strong knowledge and experience in developing AI/ML foundation models and their finetuning approaches
  • Programming using languages such as Python, R, C/C++, Java, Android
  • Experience with cloud infra services like AWS, SageMaker Studio, GCP, SQL, and collaboration tools like github
  • Good communication/presentation skills and teamwork/collaboration spirit
  • Publication in top-tier journals and conferences

$44 - $63 USD

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