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Remote Applied Health Science Jobs (NOW HIRING)

Wizard

AI Applied Scientist

$225K - $280K/yr

This role sits at the intersection of applied ML, evaluation science, and product. You'll define ... Fully remote work within the United States * Periodic company offsites and team gatherings Wizard ...

SOUTH COLLEGE

Physics Adjunct - Remote

Physics Adjunct - Remote South College - We are one of the nation's fastest growing institutions of ... This position reports directly to the Department Chair for Health Science. Responsibilities:

3Play Media

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

The Applied Science team is a self-sufficient, product development team that applies research and ... Remote -- United States Employment type: Full-time About 3Play Media 3Play Media is a technology ...

3Play Media

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

The Applied Science team is a self-sufficient, product development team that applies research and ... Remote -- United States Employment type: Full-time About 3Play Media 3Play Media is a technology ...

Zillow

Sr. Applied Scientist

$152K - $244K/yr

This role has been categorized as a Remote position. "Remote" employees do not have a permanent ... Who you are * 5+ years of applied science experience (industry or equivalent), including work on ...

Pfizer

$108K - $250K/yr

TheSpecialty Care - GI Health & Science Representativeleverages strong sales acumen ... Remote - Field Based. The annual base salary for this position ranges from $108,600 - $250,700.

Oracle

[REMOTE] Principal Applied Scientist

Work collaboratively with science, engineering, and product teams to identify customer needs in ... health mandates, and/or drug testing requirements. Range and benefit information provided in this ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS The Environmental Health and Geospatial Data Science Lab(Gong Lab) in the ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

Premise Health is Different on Purpose Premise Health serves large organizations and their people ... Coursework or projects in applied machine learning and neural networks * Coursework or projects ...

Azumo

Data Scientist, Applied AI - Remote

The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ... Bachelor's or Master's in Computer Science, Data Science or related field. * 5+ years of ...

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All JobsRemote Applied Health Science Jobs

Remote Applied Health Science information

See salary details

$24.5K

$48.4K

$79K

How much do remote applied health science jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote applied health science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Applied Health Science vs Remote Health Educator?

AspectRemote Applied Health ScienceRemote Health Educator
Required CredentialsBachelor's or higher in health sciences, certifications varyBachelor's in health education or related field, certifications preferred
Work EnvironmentData analysis, research, program development, often in healthcare or research settingsDeveloping and delivering health education programs, virtual or remote settings
Employer & Industry UsageHospitals, research institutions, healthcare companiesPublic health organizations, schools, community health programs
Search & Comparison IntentUnderstanding roles in health sciences, research, or data analysisFocus on health education, outreach, and program delivery

Remote Applied Health Science involves research, data analysis, and program development within healthcare settings, while Remote Health Educator focuses on creating and delivering health education programs. Both roles require health-related credentials but differ in daily tasks and employer types.

More about Remote Applied Health Science jobs
What cities are hiring for Remote Applied Health Science jobs? Cities with the most Remote Applied Health Science job openings:
What are the most commonly searched types of Applied Health Science jobs? The most popular types of Applied Health Science jobs are:
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What job categories do people searching Remote Applied Health Science jobs look for? The top searched job categories for Remote Applied Health Science jobs are:
Remote Applied Health Science jobs near you
AI Applied Scientist

AI Applied Scientist

Wizard

Remote

$225K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

About Wizard
Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust.
The Role
We're looking for an Applied Scientist to own how we measure, understand, and improve the accuracy of our AI agent. This role sits at the intersection of applied ML, evaluation science, and product. You'll define what "good" looks like for our agent, build the systems to measure it, and lead the science work to improve it, including fine-tuning the LLM judges that power our evaluation pipeline.
You'll partner with ML Engineering and AI Engineering. What you will do is bring scientific rigor to the most important question at Wizard: is our agent getting better, and how do we know?
This is a foundational hire on our science team. Evaluation is the starting point, and the role is scoped to grow into broader applied science work as the surface area of the agent expands (recommendations, personalization, ranking, multimodal, conversational understanding).
What You'll Do
  • Define and evolve accuracy metrics across the full shopping experience (retrieval, ranking, recommendations, outcomes)
  • Design and run experiments to measure improvements and regressions
  • Build and maintain evaluation datasets, benchmarks, and scoring frameworks
  • Improve the LLM judges that power our evaluation pipeline: prompting, calibration, and fine-tuning where it matters
  • Translate ambiguous product questions into clear, measurable hypotheses and analysis
  • Partner with ML Engineers to validate model changes and guide iteration
  • Identify failure modes and edge cases, and drive improvements through data
  • Make agent performance visible, trusted, and actionable across product and engineering
First 3 months
  • Go deep on the agent, the current eval pipeline, and the metrics we use today
  • Audit existing accuracy metrics and benchmarks; identify gaps, blind spots, and signals that aren't trustworthy
  • Build relationships with ML, AI Engineering, and Product
  • Ship one quick win: a missing benchmark, an improved metric, or a fix to a misleading signal
  • Establish a baseline view of agent performance the team can rally around
Months 3 to 6
  • Own the evaluation framework: datasets, metrics, scoring, reporting, both offline and online
  • Drive measurable improvements to LLM judge quality (calibration, fine-tuning where appropriate)
  • Run experiments that influence at least one significant model or product change
  • Stand up automated evaluation the team trusts before and after every launch
  • Build dashboards and reporting that make agent performance legible to leadership
Beyond 6 months
  • Lead applied science work on the next frontier as the agent grows: multi-turn evaluation, multimodal, personalization, ranking quality, conversational understanding
  • Influence team-level strategy on what we measure, what we improve, and why
  • Mentor and help grow the science function as it expands
What Success Looks Like
  • Clear, trusted accuracy metrics are consistently used across product and engineering
  • A robust automated evaluation framework for both offline and live experiments
  • Model and product changes are consistently measured before and after launch
  • Demonstrable improvements in LLM judge quality and eval coverage
  • Science leadership that informs what we build, not just whether it works
Career Growth
  • Depth track: become the org's authority on AI evaluation: eval strategy, judge models, agent benchmarking
  • Breadth track: expand into other applied science problems (recommendations, personalization, ranking, multimodal, conversational understanding) as those areas come online
  • Leadership track: Senior / Staff Applied Scientist, with technical leadership across the science function
  • As the agent gets more capable, the science problems get richer
Ideal Background
  • 5+ years in Applied ML, AI Research, or Applied Science (PhD or equivalent depth strongly preferred)
  • Hands-on experience evaluating modern AI/ML systems: LLMs, agents, ranking, or recommendations
  • Direct experience with LLM-based systems: judge models, RAG, prompt engineering, fine-tuning, RLHF, or similar
  • Strong experimentation foundations: A/B testing, causal inference, statistical rigor
  • Proven ability to operate in ambiguity: defining problems, not just solving pre-defined ones
  • Clear, structured communication that influences across ML, engineering, and product
Compensation & Benefits
The expected base salary range for this role is $225,000 - $280,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.
In addition to base salary, Wizard offers:
  • Equity in the form of stock options
  • Medical, dental, and vision coverage
  • 401(k) plan
  • Flexible PTO and company holidays
  • Fully remote work within the United States
  • Periodic company offsites and team gatherings

Wizard is committed to fair, transparent, and competitive compensation practices.

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