ZipRecruiter

Log In

1

Science Manager Jobs in Ohio (NOW HIRING)

Jobtailor

Senior Manager, Data Science

Marysville, OH · On-site

$120 - $180/hr

* Lead a data science team turning commercial questions into production ML and analytics * Deliver ... Stakeholder Management * LLM Evaluation * RAG * Embeddings * Vector Search * Agent Workflows Tools ...

New

Tri-C

Instructor, Upward Bound: Science

Cleveland, OH · On-site

$25.25/hr

Science Department: Youth, Adult and Community Connections Upward Bound Program Location ... Prog Mgr, Upward Bound (Trio) Recruitment Type: External/Internal Requisition ID: req7232 ...

Summit Academies Schools

Teacher, Science

Toledo, OH · On-site

$47K - $61K/yr

Classroom Management Support a positive learning environment by: * Establishing and maintaining ... Bachelor of Arts or Science Degree. * Valid Ohio teaching certificate or license. * Meet Federal ...

Summit Academy Schools

Teacher, Science

Toledo, OH · On-site

$35K - $40K/yr

Classroom Management Support a positive learning environment by: * Establishing and maintaining ... Bachelor of Arts or Science Degree. * Valid Ohio teaching certificate or license. * Meet Federal ...

previous page

Showing results 41-60

All JobsScience JobsScience Manager JobsScience Manager Jobs in Ohio

Science Manager information

See Ohio salary details

$8

$25

$51

How much do science manager jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for science manager in Ohio is $25.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $31.06 per hour, depending on experience, location, and employer.

What is a science manager?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the key skills and qualifications needed to thrive as a science manager?

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What are the main challenges a science manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What does a science manager do?

A science manager oversees scientific research projects, coordinates teams of scientists, and ensures that experiments and studies meet objectives and standards. They often manage budgets, develop strategies, and communicate findings to stakeholders, requiring strong leadership and knowledge of scientific methods and tools.

What are the most commonly searched types of Science jobs in Ohio?

The most popular types of Science jobs in Ohio are:

What cities in Ohio are hiring for Science Manager jobs?

Cities in Ohio with the most Science Manager job openings:

Science Manager jobs near you
Infographic showing various Science Manager job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $52,104 per year, or $25.1 per hour.

Senior Manager, Data Science

Jobtailor

Marysville, OH • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

Job description


  • Lead a data science team turning commercial questions into production ML and analytics

  • Deliver models across families: time-series forecasting, causal modeling, regression, classification

  • Set evaluation standards for models and define success metrics

  • Integrate AI coding and analysis agents into daily workflow to automate work

  • Own CI/CD for ML, model and data versioning, lineage tracking, and monitoring


Requirements

  • Strong ML foundations with solid grounding in ML algorithms and statistics

  • Production-quality Python; reproducible pipelines; fluent with Git, testing, containers, and APIs

  • Hands-on experience operating a mature ML lifecycle: CI/CD for ML, model and data versioning and lineage, monitoring, retraining, rollback, and governance at scale

  • Confident daily use of AI coding and analysis tools; understanding of LLM evaluation, RAG, embeddings, vector search, and agent workflows

  • Track record leading and growing a data science team, coaching individuals, and prioritizing across competing stakeholders

  • Demonstrated ability to tie modeling work to measurable business outcomes and to explain it to non-technical leaders.


Core Competencies

Demonstrates expertise in leading data science teams to deliver production-quality machine learning models and analytics, with a strong focus on CI/CD processes, model evaluation, and business impact. Proficient in integrating AI tools into workflows and communicating complex concepts to non-technical stakeholders.


Highest-signal resume keywords

  • Machine Learning Foundations

  • Production-Quality Python

  • CI/CD for ML

  • AI Coding and Analysis Tools

  • Data Science Team Leadership


ATS Optimization Keywords
Hard Skills

  • Machine Learning Algorithms

  • Statistics

  • Time-Series Forecasting

  • Causal Modeling

  • Regression

  • Classification

  • Model Evaluation Standards

  • Success Metrics

  • Reproducible Pipelines

  • Monitoring


Soft Skills

  • Coaching

  • Prioritization

  • Communication


Industry Keywords

  • ML Lifecycle

  • Business Outcomes

  • Stakeholder Management

  • LLM Evaluation

  • RAG

  • Embeddings

  • Vector Search

  • Agent Workflows


Tools & Technologies

  • Git

  • Testing

  • Containers

  • APIs

  • Model Versioning

  • Lineage Tracking

  • Retraining

  • Rollback

  • Governance

  • AI Coding Tools

#J-18808-Ljbffr

Apply