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Remote Health Science Jobs in Layton, UT (NOW HIRING)

Audiohook

Data Scientist

Eden, UT · On-site +1

... science behind Audiohook\'s performance audio advertising platform. You\'ll design and run ... Communicate clearly and proactively in a remote-first environment Qualifications Required

Danaher

IT Project Manager - Remote

Salt Lake City, UT · On-site +1

$120K - $160K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... Whether it's a health care program or paid time off, our programs contribute to life beyond the job.

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How much do remote health science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote health science in Layton, UT is $73,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $101,800.00 per year, depending on experience, location, and employer.

What is a remote health science?

A Remote Health Science job involves working in health-related fields such as research, education, public health, or healthcare administration from a remote location. These roles can include telehealth providers, medical writers, health data analysts, and remote health educators. Professionals use digital tools to communicate with patients, conduct research, or manage healthcare programs. Remote health science jobs offer flexibility while maintaining the ability to impact patient care, health policies, or scientific advancements.

What are the key skills and qualifications needed to thrive in the remote health science position, and why are they important?

To thrive in a Remote Health Science role, you need a solid background in health sciences or a related field, often backed by a relevant degree and experience in research or clinical analysis. Familiarity with digital collaboration tools, data analysis software, and, depending on the position, certifications in areas like public health or clinical research are highly advantageous. Strong written communication, self-motivation, and the ability to work independently are vital soft skills in this remote setting. These capabilities ensure you can efficiently conduct research, analyze data, and contribute to health science projects from a distance, maintaining productivity and collaboration with a geographically dispersed team.

What are the typical daily responsibilities for a remote health science professional?

As a Remote Health Science professional, your daily responsibilities may include conducting literature reviews, analyzing scientific or clinical data, preparing reports or presentations, and collaborating with colleagues through online platforms. You'll often participate in virtual meetings with interdisciplinary teams and may be tasked with designing or supporting research studies, depending on your specific focus area. Staying organized and communicating findings clearly are key aspects of the job, along with maintaining up-to-date knowledge of advancements in health science. This structure allows for both independent work and regular collaboration, ensuring projects progress smoothly despite the remote setting.

What cities near Layton, UT are hiring for Remote Health Science jobs? Cities near Layton, UT with the most Remote Health Science job openings:
Remote Health Science jobs near you
Infographic showing various Remote Health Science job openings in Layton, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $73,038 per year, or $35.1 per hour.

Data Scientist

Audiohook

Eden, UT • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago

Job description

Role Overview

The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn\'t just statistically sound but operationally useful.

Key ResponsibilitiesMarketing Measurement & Causal Inference

  • Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook\'s lift for advertisers

  • Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns

  • Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can\'t be answered with RCTs

  • Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team

Modeling & Analysis

  • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions

  • Develop and validate predictive models that improve campaign performance and platform efficiency

  • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality

Cross-Functional Collaboration

  • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals

  • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data

  • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats

  • Communicate clearly and proactively in a remote-first environment

QualificationsRequired

  • Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field

  • 3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis

  • Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context

  • Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL

  • Solid grounding in statistical inference, regression, and causal methods

  • Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership

  • Excellent attention to detail and intellectual honesty about model limitations

Preferred

  • Experience in adtech, digital advertising, or media measurement

  • Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)

  • Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)

  • Experience in a startup or high-growth company

  • Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor

What We Offer

  • Fully remote work environment

  • Competitive salary and equity opportunities

  • Performance bonuses

  • Health, dental, and vision benefits

  • Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend

  • Flexible PTO and remote-friendly culture

  • Bi-annual Corporate Offsites

  • Opportunity to help shape a function at a rapidly scaling tech company

Apply