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Remote Neuroscience Data Scientist Jobs in Nebraska

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

New

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong mentoring and technical leadership capabilities. #LI-TS1 #remote Sedgwick is an Equal ...

New

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science team who bridges the gap between traditional statistical modeling and advanced AI orchestration. In ...

Decision Scientist

Lincoln, NE · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Guides students through interpreting electrophysiology data, mapping neural pathways, analyzing ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Remote Neuroscience Data Scientist information

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

To thrive as a Remote Neuroscience Data Scientist, you need strong expertise in neuroscience, statistics, and data analysis, typically supported by an advanced degree in neuroscience, computer science, or a related field. Proficiency in programming languages (such as Python or R), machine learning frameworks, and neuroimaging analysis tools (like fMRI or EEG software) is essential. Excellent problem-solving, communication, and collaboration skills are vital for interpreting complex data and working effectively with multi-disciplinary teams in a remote setting. These skills enable accurate analysis, meaningful scientific contributions, and seamless teamwork despite physical distance.

How does a Remote Neuroscience Data Scientist typically collaborate with cross-functional teams, and what tools are commonly used for effective communication and project management?

As a Remote Neuroscience Data Scientist, you will often collaborate with neuroscientists, software engineers, and clinical researchers to analyze complex brain data and develop actionable insights. Communication and teamwork are facilitated through virtual meetings, shared code repositories (such as GitHub or GitLab), and project management platforms like Jira or Asana. Regular stand-ups and collaborative brainstorming sessions are common, ensuring everyone stays aligned despite working remotely. Familiarity with cloud-based data analysis tools and version control systems is essential for seamless integration with team workflows.

What does a Remote Neuroscience Data Scientist do?

A Remote Neuroscience Data Scientist applies data analysis, machine learning, and statistical modeling techniques to neuroscience data, such as brain imaging or neural recordings, all while working from a remote location. They collaborate with neuroscientists and other researchers to extract insights from complex datasets, develop models to understand brain function, and contribute to scientific publications or product development. Their work often involves programming, data cleaning, visualization, and interpreting results to inform research or healthcare solutions.
What are the most commonly searched types of Neuroscience Data Scientist jobs in Nebraska? The most popular types of Neuroscience Data Scientist jobs in Nebraska are:
What are popular job titles related to Remote Neuroscience Data Scientist jobs in Nebraska? For Remote Neuroscience Data Scientist jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Neuroscience Data Scientist jobs in Nebraska look for? The top searched job categories for Remote Neuroscience Data Scientist jobs in Nebraska are:
Infographic showing various Remote Neuroscience Data Scientist job openings in Nebraska as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Principal Data Scientist

Principal Data Scientist

Sedgwick

Omaha, NE • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.


Sedgwick rating

7.5

Company rating: 7.5 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

195th of 258 rated insurance


Job description

By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies

Certified as a Great Place to Work®

Fortune Best Workplaces in Financial Services & Insurance

Principal Data Scientist

Job Responsibilities

  • Lead the design and development of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management.

  • Serve as the technical authority for complex modeling initiatives including fraud detection, claims severity prediction, litigation risk modeling, and recovery optimization.

  • Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.

  • Architect modeling approaches that leverage modern techniques such as gradient boosting, deep learning, NLP, anomaly detection, and probabilistic modeling.

  • Partner with AI Engineering teams to productionize models and integrate them into enterprise AI platforms and operational systems.

  • Design feature engineering strategies and modeling pipelines using large-scale enterprise datasets.

  • Establish best practices for model development, experimentation, validation, and reproducibility.

  • Lead advanced analytical techniques such as causal inference, scenario simulation, and risk scoring methodologies.

  • Build and maintain model evaluation frameworks that measure accuracy, bias, stability, and business impact.

  • Monitor deployed models for drift, degradation, and changing data distributions, and recommend recalibration strategies.

  • Provide technical guidance to data scientists and analysts across the organization.

  • Mentor junior team members on statistical methods, machine learning techniques, and analytical rigor.

  • Translate complex analytical findings into clear, actionable insights for business leaders and operational teams.

  • Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.

  • Evaluate external data sources and third-party analytical solutions that enhance predictive capabilities.

  • Ensure analytical methodologies align with enterprise governance standards and regulatory expectations.

  • Contribute to Sedgwick’s broader AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.

  • Lead research and innovation initiatives that advance Sedgwick’s predictive analytics capabilities.

Qualifications

  • Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or related quantitative discipline.

  • 8–12+ years of experience in data science, statistical modeling, or advanced analytics roles.

  • Deep expertise in machine learning algorithms, statistical modeling techniques, and predictive analytics methodologies.

  • Strong programming skills in Python, R, or similar analytical languages.

  • Extensive experience working with large, complex datasets in enterprise environments.

  • Proven experience designing and implementing end-to-end modeling pipelines.

  • Strong understanding of model validation, feature engineering, and performance evaluation techniques.

  • Experience collaborating with engineering teams to deploy models into production systems.

  • Familiarity with distributed data processing tools and modern data platforms preferred.

  • Experience in insurance, claims management, healthcare, or financial services analytics preferred.

  • Ability to communicate advanced analytical concepts to both technical and non-technical stakeholders.

  • Demonstrated ability to lead complex analytical initiatives that drive measurable business value.

  • Strong mentoring and technical leadership capabilities.

#LI-TS1 #remote

Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

Sedgwick is the world’s leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company’s expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see sedgwick.com


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