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Remote Healthcare Machine Learning Jobs in Austin, TX

VIVA USA INC

Behavioral Health Care Coordinator

TX · On-site +1

Remote Description: This position is responsible for ensuring accurate and timely engagement of ... health care from outpatient office visits to acute inpatient and continued follow up at home ...

Served With Honor

Healthcare Coordinator

Austin, TX · Remote

$55K/mo

Job Title: Healthcare Coordinator Location: 100% Remote (US Only) Compensation: $45,000-$55,000 + Full Benefits Package The Healthcare Coordinator plays a critical role in Telemedica\'s evolving care ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Demonstrated experience using machine learning, deep learning, statistical methodology, and ... Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data ...

Harmony Health Plans Inc

Be Seen First

Licensed Health Agents - 1099 Remote | Leads Provided

Austin, TX · Remote

$5.0K - $25K/mo

Harmony Health is partnering with licensed health agents nationwide to sell ACA Marketplace plans ... We bring the machine; you bring the license. Nothing out of your pocket: - Leads provided at no out ...

YO AI Labs

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.

Kake Group

Senior AI Talent Sourcer

Austin, TX · Remote

Core Requirements * 5+ years of experience sourcing AI , machine learning , LLM , research ... Ability to work independently in a remote, fast-paced environment. Other Traits * Naturally curious ...

USHP

Staff Accountant- Healthcare

Austin, TX · Remote

$56K - $74K/yr

Austin, TX- Hybrid (remote and in office) Position Summary = recurring close support + operational ... healthcare organization. This role requires strong attention to detail, accountability ...

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Showing results 21-40

All JobsHealthcare Machine Learning JobsRemote Healthcare Machine Learning JobsRemote Healthcare Machine Learning Jobs in Austin, TX

Remote Healthcare Machine Learning information

See Austin, TX salary details

$25.3K

$42.2K

$87.2K

How much do remote healthcare machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote healthcare machine learning in Austin, TX is $42,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What is a remote healthcare machine learning professional?

A Remote Healthcare Machine Learning professional is someone who applies machine learning techniques and data analysis to healthcare-related problems while working remotely. They develop algorithms and models to analyze medical data, predict patient outcomes, and improve healthcare delivery. These professionals may work on projects like disease prediction, medical imaging analysis, or personalized treatment recommendations, often as part of a distributed team. Their work helps healthcare organizations leverage data to make informed decisions and improve patient care, all while working from a location outside of a traditional office or hospital setting.

How does a remote healthcare machine learning professional collaborate with clinical teams to implement AI solutions?

Remote Healthcare Machine Learning professionals often work closely with clinicians, data engineers, and IT staff to ensure that AI models address real clinical needs and comply with healthcare regulations. Collaboration usually involves regular virtual meetings, shared project management tools, and iterative feedback cycles where clinicians provide insights on data relevance and model outputs. Effective communication is crucial to bridge the gap between technical and medical expertise, ensuring solutions are both accurate and practical for everyday clinical use.

What are the key skills and qualifications needed to thrive as a remote healthcare machine learning specialist?

To thrive as a Remote Healthcare Machine Learning Specialist, you need a strong background in data science, statistics, machine learning algorithms, and healthcare domain knowledge, typically supported by a relevant degree in computer science, engineering, or biomedical informatics. Proficiency with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and experience with electronic health record (EHR) systems or health data standards is essential. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders make someone stand out in this role. These skills are crucial for developing effective, compliant, and impactful healthcare solutions that improve patient outcomes and enable remote care delivery.

What is the difference between Remote Healthcare Machine Learning vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Machine LearningRemote Healthcare Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML algorithmsDegree in Statistics, Data Analysis, or related field; proficiency in data visualization
Work EnvironmentCollaborates with data scientists and engineers; focuses on developing modelsAnalyzes healthcare data; reports insights to stakeholders
Industry UsageDevelops predictive models for patient outcomes, diagnosticsInterprets healthcare data to inform decisions and improve processes

Remote Healthcare Machine Learning specialists focus on creating algorithms and models to predict health trends, while Remote Healthcare Data Analysts interpret healthcare data to support decision-making. Both roles require strong analytical skills but differ in technical focus and responsibilities.

What are popular job titles related to Remote Healthcare Machine Learning jobs in Austin, TX?

For Remote Healthcare Machine Learning jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Machine Learning jobs in Austin, TX look for?

The top searched job categories for Remote Healthcare Machine Learning jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Healthcare Machine Learning jobs?

Cities near Austin, TX with the most Remote Healthcare Machine Learning job openings:

Remote Healthcare Machine Learning jobs near you

Senior Machine Learning Engineer, Causal & Decision Systems

CSC Generation

Austin, TX • On-site, Remote

$103K - $141K/yr

Full-time

Posted 4 days ago

Job description

CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently.
We are starting with pricing and expanding into areas such as inventory, purchasing, promotions, marketing, and assortment.
The Role
You will help build systems that:
**estimate causal response + quantify uncertainty - choose actions - generate useful information - observe outcomes - update policies - evaluate challengers - deploy within guardrails**
We want to answer questions such as:
- What happens **because we change a price**, rather than simply what happens next?
- How should uncertainty affect a decision?
- When should the system exploit what it knows versus experiment to learn?
- Can we estimate the value of a challenger policy before fully deploying it?
- How do we optimize economic outcomes while respecting inventory, margin, vendor, customer, and operational constraints?
What You'll Work On
Depending on your background, you may work across:
- causal and heterogeneous treatment-effect modeling;
- uncertainty estimation and calibration;
- contextual bandits, active learning, or sequential decision-making;
- policy learning and constrained optimization;
- counterfactual and off-policy evaluation;
- experimentation and champion/challenger systems;
- production ML infrastructure, monitoring, and automated deployment.
We care about selecting the right method, not using a particular framework.
What Success Looks Like
Success is not a better offline metric.
The systems you build should produce measurable economic lift in controlled experiments, generalize across businesses, learn from their own interventions, and safely automate an increasing share of real commercial decisions.
Over time, the goal is simple:
**the system should become better at operating the business because it has operated the business.**
What We're Looking For
We care more about exceptional technical ability and judgment than matching a checklist.
Strong candidates will have experience in several of:
- machine learning and statistical modeling;
- causal inference and experimentation;
- recommendation, advertising, pricing, marketplace, credit, or other decision systems;
- bandits, reinforcement learning, optimization, or active learning;
- uncertainty estimation;
- counterfactual evaluation;
- production ML systems;
- Python, SQL, and large behavioral datasets.
Why This Role Is Different
Most ML systems learn from a dataset.
Here, **the decisions made by the model influence the data the model sees next**.
That creates a continuous loop:
**Decision - intervention - outcome - learning - better decision**
The long-term opportunity is to build that capability once and apply it across a portfolio of businesses and increasingly broad commercial decisions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
CSC Generation logo

About CSC Generation

Sourced by ZipRecruiter

CSC Generation is a multi-brand technology platform based in Merrillville, IN, United States. The organization operates in the retail sector and utilizes technology to save retail companies from going into bankruptcy, while also offering consumers the ability to lease their purchases. Founded by serial entrepreneur, Justin Yoshimura, CSC Generation has leveraged its proprietary technology and customer database to quickly revitalize distressed retail brands. The company's mission revolves around the concepts of reinvention and innovation as it aims to redefine traditional retail and direct-to-consumer models in today's digital age. Notably, the company has, to date, acquired several brands such as DirectBuy, Killion, and most notably, Z Gallerie, growing fast within the e-commerce sector.

Company size

501 - 1,000 Employees

Headquarters location

Merrillville, IN, US

Year founded

2016

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