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Remote Scientist Jobs in Texas (NOW HIRING)

CSAA

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

Faeth Therapeutics

Senior Clinical Scientist

Austin, TX · Remote

$150K - $200K/yr

With a strong scientific foundation and a founding team that includes the discoverer of the PI3K ... Remote (U.S.) Responsibilities: * Lead the design and development of clinical protocols, amendments ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for improving model traceability, uncertainty quantification, and predictive trustworthiness in Arva ...

Osv_edf

Senior Scientist, Oceans Science

Austin, TX · On-site +1

$90K - $123K/yr

Location Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC. Duration ... Senior Scientist position with proven topical expertise to develop and oversee EDF's new ...

Procom

AI Data Scientist Expert

Roanoke, TX · On-site +1

AI Data Scientist Expert On behalf of our Financial Services client, Procom is searching for an AI ... This position is 100% remote with a preferred location of Southlake, TX or Lone Tree, CO. The ...

New

Bread Financial

Data Scientist

Frisco, TX · On-site +1

$104K - $180K/yr

The Data Scientist is pivotal in generating data-driven insights using advanced analytics and ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$138K - $272K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... This role is ideal for someone who will thrive working at the intersection of computational science ...

BNSF Railway

Data Scientist I/II (Remote - US)

TX · On-site +1

$93K - $175K/yr

Remote US Anticipated Start Date: 08/03/2026 The US base salary range for this full-time position ... Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ...

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All JobsScientist JobsRemote Scientist JobsRemote Scientist Jobs in Texas

Remote Scientist information

See Texas salary details

$77.8K

$118.3K

$159.3K

How much do remote scientist jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote scientist in Texas is $118,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $133,700.00 per year, depending on experience, location, and employer.

How can I make 2000 a week working from home?

A remote scientist can earn $2,000 a week by taking on multiple consulting projects, freelance research assignments, or specialized contract roles that pay high hourly or project-based rates. Building expertise in in-demand areas like data analysis, laboratory techniques, or scientific writing, along with strong communication skills and relevant certifications, can help secure higher-paying opportunities in a remote setting.

What jobs pay 500,000 a year in the US?

Remote scientists, especially those in specialized fields like pharmaceuticals, biotechnology, or data science with advanced expertise, can reach or exceed a $500,000 annual salary through senior roles, consulting, or leadership positions. High earnings often require advanced degrees, extensive experience, and skills in areas such as machine learning, bioinformatics, or scientific management.

What is a Remote Scientist job?

A Remote Scientist is a professional who conducts scientific research, analysis, and experiments while working remotely, often using digital tools and virtual collaboration platforms. They may work in various fields, including environmental science, data science, biotechnology, and engineering. Remote Scientists communicate their findings through reports, presentations, or virtual meetings with colleagues and stakeholders. This role requires strong problem-solving skills, self-discipline, and proficiency in using remote research tools.

What does a typical workday look like for a Remote Scientist?

A typical day for a Remote Scientist often involves analyzing datasets, designing experiments or simulations, collaborating with team members via video calls or shared digital platforms, and preparing reports or presentations. Depending on their specialization, they may spend time running remote experiments, writing scientific papers, or contributing to grant proposals. While much of the work is independent, regular virtual meetings are held to ensure alignment with projects and to discuss research progress. This structure allows Remote Scientists to balance focused research time with teamwork and ongoing professional development.

Is 40 too late to become a scientist?

A remote scientist role can be pursued at any age, as many scientific careers value experience, skills, and continuous learning. While some positions may require advanced degrees or specialized training, individuals can start new scientific careers later in life by gaining relevant education, certifications, and practical experience.

How can I make $100,000 a year working from home?

A remote scientist can reach a $100,000 annual income by gaining specialized expertise in high-demand fields such as data analysis, bioinformatics, or environmental science, often requiring advanced degrees and certifications. Building a strong professional network, publishing research, and leveraging freelance consulting or contract work can also increase earning potential while working remotely.

What are the key skills and qualifications needed to thrive in the Remote Scientist position, and why are they important?

To thrive as a Remote Scientist, you need a strong grounding in scientific research methods, data analysis, and a relevant advanced degree such as a Master's or Ph.D. Tools like statistical software (e.g., R, Python), laboratory management systems, and secure data-sharing platforms are frequently used, along with certifications in specialized areas if required. Exceptional written and verbal communication, self-motivation, and organizational skills are essential for effectively collaborating within remote teams and managing independent projects. These abilities ensure remote scientists maintain high research standards, deliver impactful findings, and successfully bridge the gap between virtual collaboration and tangible scientific progress.

What are the most commonly searched types of Scientist jobs in Texas? The most popular types of Scientist jobs in Texas are:
What are popular job titles related to Remote Scientist jobs in Texas? For Remote Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Scientist jobs in Texas look for? The top searched job categories for Remote Scientist jobs in Texas are:
What cities in Texas are hiring for Remote Scientist jobs? Cities in Texas with the most Remote Scientist job openings:
Remote Scientist jobs near you
Infographic showing various Remote Scientist job openings in Texas as of July 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 51% Physical, 4% Hybrid, and 45% Remote job distribution, with an average salary of $118,349 per year, or $56.9 per hour.

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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