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Remote Real World Evidence Rwe Jobs in Utah (NOW HIRING)

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88K - $121K/yr

Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote) Benefits Eligible: Yes Manager ... Strong fundamentals in probability/statistics and comfort with messy, real-world scientific ...

Caselle

Senior Software Engineer

Provo, UT · On-site +1

$120K - $140K/yr

With a remote or in office work environment and a schedule of Monday through Friday, 8 a.m. to 5 p ... We offer more than just a job-we offer a culture built on growth, teamwork, and real-world impact.

Mantis Innovation

BMS Controls Application Engineer

Lehi, UT · Remote

$78K - $101K/yr

You will help refine engineering standards and provide remote support to project and field teams ... real-world scenarios. * Basic networking knowledge; addressing & subnetting, IP + serial device ...

Varsity Tutors

IB Physics Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

Varsity Tutors

IB Physics Tutor

Cedar City, UT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

Varsity Tutors

IB Physics Tutor

Provo, UT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

Varsity Tutors

IB Physics Tutor

Logan, UT · Remote

$18 - $40/hr

... evidence-based explanations. Emphasizes connecting physics to real-world applications and develops skills for the Internal Assessment laboratory investigation. * Curriculum Awareness & Adaptive ...

Kenect

Sales Development Rep

Pleasant Grove, UT · On-site +1

Teams trust us because our technology is easy to adopt, built for real-world workflows, and ... Our Sales Development Representatives are FULL-TIME IN THE OFFICE WITHOUT ANY REMOTE/WFH OPTIONS ...

UFP Industries

HYBRID - Truss Designer

Tooele, UT · On-site +1

$45K - $65K/yr

... real-world projects, we want to hear from you! Location: Anywhere in the United States Why You'll Love Working with Us: * Remote Flexibility : Enjoy the freedom of working from home while still ...

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All JobsRemote Real World Evidence Rwe JobsRemote Real World Evidence Rwe Jobs in Utah

Remote Real World Evidence Rwe information

What are Remote Real World Evidence (RWE) jobs?

Remote Real World Evidence (RWE) jobs involve gathering, analyzing, and interpreting data from real-world sources—such as electronic health records, insurance claims, patient registries, and wearable devices—to inform healthcare decisions. Professionals in these roles typically work for pharmaceutical companies, research organizations, or healthcare technology firms. Remote RWE jobs allow employees to contribute to research and data analysis from home or other off-site locations, using digital tools to collaborate with teams and stakeholders. These positions are crucial for understanding how medical treatments perform outside of controlled clinical trials, ultimately improving patient care and supporting regulatory submissions.

What is the difference between Remote Real World Evidence Rwe vs Remote Data Analyst?

AspectRemote Real World Evidence RweRemote Data Analyst
Required CredentialsAdvanced degrees in healthcare, epidemiology, or biostatistics; experience with RWE methodologiesBachelor's or master's in data science, statistics, or related fields; proficiency in data analysis tools
Work EnvironmentCollaborates with healthcare providers, pharma companies, and regulatory agencies; focuses on healthcare dataWorks across industries; analyzes large datasets to inform business decisions
Industry UsagePrimarily in healthcare, pharmaceuticals, and regulatory sectorsAcross various sectors including finance, marketing, and healthcare

Remote Real World Evidence Rwe specialists focus on analyzing healthcare data to generate evidence for medical and regulatory decisions, requiring healthcare-specific knowledge. Remote Data Analysts handle diverse datasets across industries, emphasizing data processing and reporting skills. While both roles involve data analysis, RWE roles are more specialized in healthcare and regulatory contexts.

What are the key skills and qualifications needed to thrive as a Remote Real World Evidence (RWE) professional, and why are they important?

To thrive as a Remote Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, or related life sciences, typically supported by an advanced degree (e.g., MPH, MS, PhD). Familiarity with statistical software such as SAS, R, or Python, and experience working with large healthcare databases and electronic health records are crucial. Excellent analytical thinking, problem-solving abilities, and effective communication skills help translate complex data into actionable insights for stakeholders. These competencies ensure the generation of robust, real-world data analyses that inform healthcare decisions and regulatory submissions.

What are some common challenges faced by Remote Real World Evidence (RWE) professionals and how can they be addressed?

Remote RWE professionals often encounter challenges such as managing large and diverse datasets, ensuring data privacy, and coordinating effectively with cross-functional teams across different time zones. To address these, it's important to have strong data management skills, familiarity with relevant regulations (like GDPR or HIPAA), and effective communication tools. Actively engaging in regular virtual meetings and leveraging collaborative platforms can help maintain alignment with stakeholders and ensure project milestones are met.
What are the most commonly searched types of Real World Evidence Rwe jobs in Utah? The most popular types of Real World Evidence Rwe jobs in Utah are:
What are popular job titles related to Remote Real World Evidence Rwe jobs in Utah? For Remote Real World Evidence Rwe jobs in Utah, the most frequently searched job titles are:
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What cities in Utah are hiring for Remote Real World Evidence Rwe jobs? Cities in Utah with the most Remote Real World Evidence Rwe job openings:
Remote Real World Evidence Rwe jobs near you

Senior Machine Learning Scientist

Zanskar

Salt Lake City, UT • On-site, Remote

$88K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Role Overview 
Title: Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences)
Hours: Full-Time, Salaried
Location: Salt Lake City, UT, Hybrid (3 days in office, 2 days can be remote)
Benefits Eligible: Yes
Manager: Head of Reservoir R&D
 
Why we exist
Geothermal energy is the most abundant renewable energy source in the world. There is 2,300 times more energy in geothermal heat in the ground than in oil, gas, coal, and methane combined. However, historically it's been hard to find and expensive to develop. At Zanskar, we're building technology to find and develop new geothermal resources in order to make geothermal a cheap and vital contributor to a carbon-free electrical grid.
 
To do that, we combine deep subsurface expertise with advanced AI technologies-including modern machine learning, scalable scientific computing, and uncertainty-aware modeling-to dramatically improve geothermal discovery and development outcomes. We build systems that can learn from sparse and noisy data, emulate expensive physics simulations, and help teams make faster, higher-confidence decisions about where to drill and how to develop fields.
 
Who you are
You will help build the modeling and decision-making core of Zanskar's geothermal exploration software. This role blends scientific machine learning (surrogate modeling) with sequential decision-making under uncertainty. A successful candidate will:
Explore: you're open-minded about methods and will prototype, benchmark, and iterate across approaches.
Reproduce & adapt: you can implement ideas from papers and new frameworks quickly, then harden the best ones into reliable workflows.
Decision-minded: you care about end-to-end outcomes (value, risk, time-to-decision), not just model accuracy.
Uncertainty-first: you build models that are accurate, well-calibrated, and dependable under distribution shift and sparse data regimes.
Collaborative: you work well with domain experts and can translate between geology/engineering intuition and ML systems.
 
What you'll do
Build fast, reliable models that emulate or augment computationally expensive physics-based simulations (e.g., reservoir, wellbore, and coupled multi-physics workflows).
Evaluate and compare multiple modeling approaches (physics-informed, operator learning, transformers, diffusion models, etc.), establishing strong baselines and selecting methods based on evidence.
Build multi-step decision systems for exploration and appraisal: POMDP-style planning and belief-space decision making to recommend exploration steps.
Translate scientific and engineering questions into well-defined learning and decision problems: inputs/outputs, constraints, boundary/initial conditions, reward/cost structure, and success metrics (e.g., expected NPV, probability of success, downside risk).
Prototype, benchmark, and iterate across approaches (POMDP solvers, RL methods, VOI-style baselines, MPC-style replanning), then harden the best ones into reliable workflows and APIs.
Collaborate deeply with geoscientists, reservoir engineers, and software engineers to integrate these models and policies into production software.
 
What we're looking for
3+ years of applied ML experience, ideally in scientific ML, decision-making under uncertainty, surrogate modeling, robotics/control, or related engineering/science domains.
Expertise in python and modern ML tooling (PyTorch preferred).
Track record of taking models from prototype rigorous evaluation adoption by technical stakeholders.
Strong fundamentals in probability/statistics and comfort with messy, real-world scientific datasets.
Experience building or using surrogate models for expensive simulators (PDE-driven systems, multi-physics, or similar).
Relevant technical strengths
Surrogate modeling. 
Sequential decision-making under uncertainty and reinforcement learning. 
Software engineering: Git, code review, reproducibility, CI basics, Docker/container workflows.
Experience with diffusion models.
Exposure to subsurface modeling domains: geothermal, oil & gas, CCS, hydrogeology, geoscience, or related.
Familiarity with cloud infrastructure and data systems (SQL, object storage, orchestration).
 
Location and Benefits
This position is based out of our headquarters in Salt Lake City, Utah, and is hybrid.
Benefits include:
Paid holidays
15 days PTO + PTO accrual increase based on tenure
Medical, dental and vision coverage
401k 
Stock options
Growth opportunities at a company with a direct impact in displacing carbon emissions
Equal Opportunity Employer 
 
Zanskar is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.
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