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Scientific Manager Jobs in Nebraska (NOW HIRING)

Kemper

Data Science Manager

Omaha, NE · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

Bimeda Inc.

R&D Senior Scientist

Omaha, NE · On-site

$94K - $120K/yr

Provide scientific mentorship, performance coaching, and technical training to Scientist I - IV; contribute to talent development planning. Manage a team of 2-5 scientists Manage and oversee CRO ...

Bimeda, Inc.

R&D Senior Scientist

Omaha, NE · On-site

$120 - $180/hr

Provide scientific mentorship, performance coaching, and technical training to Scientist I - IV; contribute to talent development planning. * Manage a team of 2-5 scientists * Manage and oversee CRO ...

Hyvee

Food Scientist

Omaha, NE · On-site

Independently drives project progression by identifying next steps, managing priorities, and communicating status. * Applies critical thinking and scientific judgment to evaluate data, identify root ...

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All JobsScientific JobsScientific Manager JobsScientific Manager Jobs in Nebraska

Scientific Manager information

See Nebraska salary details

$26.8K

$86.1K

$140.4K

How much do scientific manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for scientific manager in Nebraska is $86,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,430.00 and $107,963.00 per year, depending on experience, location, and employer.

What is a scientific manager?

Scientific Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as universities, research institutes, or private companies. They coordinate research activities, manage budgets and resources, ensure compliance with regulations, and often serve as a bridge between scientists and administrative staff. Scientific Managers may also help set research priorities, facilitate communication among stakeholders, and support the professional development of research staff. Their role is essential in ensuring that scientific projects are completed efficiently, on time, and within budget.

What are some common challenges scientific managers face when leading multidisciplinary research teams?

Scientific Managers often navigate the complexities of coordinating team members from diverse scientific backgrounds, each with their own methodologies and communication styles. Ensuring clear project goals, facilitating effective collaboration, and managing timelines can be challenging, especially in fast-paced research environments. Additionally, balancing administrative duties with scientific oversight requires strong organizational and leadership skills. Successful Scientific Managers foster a culture of open communication and continuous learning to overcome these challenges.

What are the key skills and qualifications needed to thrive as a scientific manager, and why are they important?

To thrive as a Scientific Manager, you need a strong background in scientific research, project management experience, and typically an advanced degree (such as a PhD or MSc) in a relevant field. Familiarity with laboratory information management systems (LIMS), data analysis software, and compliance with regulatory standards is crucial. Leadership, strategic thinking, and excellent communication skills distinguish top performers in this role. These skills and qualifications are vital to effectively oversee research teams, ensure project success, and bridge the gap between science and organizational objectives.

What is the difference between Scientific Manager vs Research Scientist?

AspectScientific ManagerResearch Scientist
Required CredentialsAdvanced degrees (Master's or PhD), management trainingTypically PhD or Master's in a scientific field
Work EnvironmentOversees projects, manages teams, strategic planningConducts experiments, data analysis, publishes findings
Employer & Industry UsageResearch institutions, biotech, pharma companiesUniversities, research labs, industry R&D
Common Search & ComparisonOften compared for leadership roles in scienceCompared for hands-on research roles

The main difference is that Scientific Managers focus on overseeing research projects and managing teams, while Research Scientists are primarily involved in conducting experiments and generating scientific data. Both roles require advanced degrees, but Scientific Managers also need leadership and management skills to coordinate research efforts effectively.

What are the most commonly searched types of Scientific jobs in Nebraska?

The most popular types of Scientific jobs in Nebraska are:

What job categories do people searching Scientific Manager jobs in Nebraska look for?

The top searched job categories for Scientific Manager jobs in Nebraska are:

Scientific Manager jobs near you
Infographic showing various Scientific Manager job openings in Nebraska as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $86,082 per year, or $41.4 per hour.

Data Science Manager

Kemper

Omaha, NE • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 hours ago

Job description

Location(s)

Alpharetta, Georgia, Bloomington, Illinois, Boston, Massachusetts, Chicago, Illinois, Columbus, Ohio, Hartford, Connecticut, Omaha, Nebraska

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide experience to our stakeholders that delivers on our promises.

Position Summary:

Responsible for developing and delivering machine learning and AI solutions for Claims use cases, including claim triage, fraud detection, severity prediction, litigation, subrogation, workflow optimization, and other claims analytics applications, while providing technical leadership and leading projects. This role includes direct people leadership responsibilities, including coaching, mentorship, and performance management

Position Responsibilities:

  • Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.
  • Communicates project progress, insights, results, and recommendations to business partners and senior leadership.
  • Manages project scope, expectations, and timelines.
  • Collaborates with Data Engineering, IT, and business partners to operationalize machine learning and AI solutions.
  • Follows the model governance process including planning, documentation, validation, deployment, monitoring, and review.
  • Oversees model performance and supports ongoing monitoring and continuous improvement of deployed solutions.
  • Develops and mentors team members to maintain technical excellence in AI/ML, software engineering, and solution design.

Position Qualifications:

  • Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment.
  • PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.
  • Prior experience mentoring or managing talent.
  • Experience developing and deploying predictive models into production.
  • At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
  • Strong proficiency in Python and SQL.
  • Experience with software development best practices, including version control (Git), code reviews, testing, and model lifecycle management.
  • Strong written and verbal communication skills, including the ability to communicate technical concepts and analytical insights to business stakeholders and senior leadership.
  • Claims experience preferred.
  • This position can be worked hybrid out of a local Kemper office. Remote options will be considered for non-local candidates.
  • Sponsorship is not accepted for this opportunity
  • The range for this position is $115,700 to $192,900. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.

Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.
Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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