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Remote Data Science Neuroscience Jobs in Dallas, TX

Alignerr

Data Scientist (Masters)

Dallas, TX · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Design Advanced Challenges - Create complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RedSail Technologies

Clinical Data Scientist

Irving, TX · On-site +1

Bachelor's degree in Data Science, Data Engineering, or similar data relevant computer science ... Position is performed in a general office environment, home office, or approved remote workspace ...

Sedgwick

Principal Data Scientist

Dallas, TX · On-site +1

Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

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$41.1K

$140.9K

$198.8K

How much do remote data science neuroscience jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data science neuroscience in Dallas, TX is $140,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $164,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Science Neuroscience professional, and why are they important?

To thrive as a Remote Data Science Neuroscience professional, you need a background in neuroscience and statistics, strong programming skills (especially in Python or R), and experience with data analysis techniques. Familiarity with tools such as machine learning frameworks (e.g., TensorFlow or scikit-learn), neuroimaging software (like SPM or FSL), and cloud-based collaboration platforms is typically required. Exceptional problem-solving, communication, and self-motivation are crucial for effectively working with interdisciplinary teams in a remote setting. These skills and qualities ensure accurate data interpretation, effective research collaboration, and successful project delivery in a complex and evolving field.

How do remote data science professionals in neuroscience typically collaborate with multidisciplinary teams?

Remote data science professionals in neuroscience often work closely with neuroscientists, clinicians, and software engineers, using digital tools to facilitate communication and project management. Collaboration usually occurs through regular virtual meetings, shared data repositories, and collaborative coding platforms. This setup requires strong communication skills and the ability to translate complex analytical findings into actionable insights for team members from diverse backgrounds. Building strong virtual relationships and maintaining clear documentation are key to ensuring project success and smooth cross-functional collaboration.

What is a Remote Data Science Neuroscience job?

A Remote Data Science Neuroscience job involves using data science techniques, such as machine learning and statistical analysis, to interpret and analyze neuroscience data while working from a remote location. Professionals in this role typically work with large datasets from brain imaging, electrophysiology, or behavioral studies to uncover insights about brain function and neurological diseases. These positions require strong programming skills, knowledge of neuroscience concepts, and the ability to collaborate virtually with research teams. The remote aspect allows for flexibility in work location, making it accessible to a broader range of candidates.
What are the most commonly searched types of Data Science Neuroscience jobs in Dallas, TX? The most popular types of Data Science Neuroscience jobs in Dallas, TX are:
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Remote Data Science Neuroscience jobs near you
Data Science Intern - Summer 2026 - Remote

Data Science Intern - Summer 2026 - Remote

UPLAND CAPITAL GROUP INC

Dallas, TX • On-site, Remote

Other

Posted 20 days ago

Job description

Data Science Intern - Summer 2026 - Remote

As an Excess and Surplus (E&S) carrier, we face unique and interesting problems every day. We are looking for a Data Science Intern to join our RA&D team for the summer. The role will report to the Director of Data Science.

Upland Capital Group, Inc. is an AM Best rated "A-" VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions as well as excess cyber liability.

We focus on "old school" underwriting as a craft, add "new school" analytics and technology, and encourage a gritty, growth mindset among people called "we entrepreneurs."

At our Risk, Analytics, & Data (RA&D) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized and cloud-based, running on Azure. This internship offers hands-on experience within a production analytics environment - working alongside experienced practitioners on real problems in specialty insurance. You will contribute to projects that enhance actuarial, underwriting, and claims insights through data-driven analytics, while developing practical skills in a collaborative, intellectually demanding setting.

Duties and Responsibilities

As a Data Science Intern at Upland, you will work alongside our data scientists and actuaries on analyses and modeling projects that support decision-making across actuarial, underwriting, and claims functions. You will be encouraged to ask questions, try new approaches, and develop your skills in a real production analytics environment.

Responsibilities will include:

  • Contribute to the curation of modeling datasets using internal and external data sources
  • Support the development and testing of models and analytics products under the guidance of senior data scientists
  • Assist with model documentation and help maintain standards for reproducibility and transparency
  • Research and apply data science techniques relevant to specialty insurance problems
  • Use AI to develop more efficient analytic workflows

Required Experience, Education, and Skills

Required:

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
  • Basic understanding of statistical modeling and machine learning concepts
  • Proficiency or coursework in Python, R, and/or SQL
  • Demonstrated experience using AI coding tools such as Claude Code, Codex, or similar
  • Self-starter, quick learner, and creative problem solver who thrives in a flexible, fast-paced, and remote work environment

Preferred:

  • Exposure to or interest in a variety of modeling techniques (e.g., Regression, Classification, Natural Language Processing, Large Language Models, etc.)
  • Basic understanding of the P&C insurance industry

Disclosures:

Pay Estimate: $ 22 per hour

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