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Science Operations Manager Jobs in Minnesota (NOW HIRING)

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different ... Master's degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research ...

Danaher

T2 Production Operations

Chaska, MN

$26 - $30/hr

Are you ready to accelerate your potential and make a real difference within life sciences ... The T2 Production Operations is responsible for following established operation procedures ...

Danaher

T2 Production Operations

Chaska, MN · On-site

$26 - $30/hr

Are you ready to accelerate your potential and make a real difference within life sciences ... The T2 Production Operations is responsible for following established operation procedures ...

Pwc

Finance Data and AI Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

... Science, Operations Management/Research, Engineering, Business Analytics, or Information Technology - At least 4 years of Advisory client-facing consulting experience What Sets You Apart - Master ...

HealthPartners

Data Engineer Principal

Bloomington, MN

$115.10K - $138.20K/yr

Bachelor's degree in computer science, data or social science, operations research, statistics ... Data management, software engineering, I&O (infrastructure and operations) PREFERRED QUALIFICATIONS:

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Science Operations Manager information

What are the key skills and qualifications needed to thrive as a Science Operations Manager, and why are they important?

To thrive as a Science Operations Manager, you need a solid background in scientific research, project management, and organizational leadership, often supported by an advanced degree in a scientific discipline. Familiarity with laboratory management software, compliance systems, and budgeting tools is typically required. Exceptional communication, problem-solving, and team leadership skills help manage multidisciplinary teams and complex projects. These skills ensure efficient lab operations, regulatory compliance, and successful achievement of scientific objectives.

How does a Science Operations Manager typically collaborate with research and administrative teams?

A Science Operations Manager serves as a vital link between research staff and administrative departments, ensuring smooth daily operations in scientific environments. They coordinate project timelines, facilitate resource allocation, and help resolve logistical challenges that researchers may face. Regular communication with both scientists and support teams allows them to proactively address issues, streamline workflows, and implement best practices. This collaborative approach fosters a productive work environment and keeps projects on track.

What are Science Operations Managers?

Science Operations Managers are professionals who oversee the daily operations of scientific research facilities, laboratories, or organizations. They ensure that projects run smoothly by coordinating staff, managing budgets, maintaining equipment, and ensuring compliance with safety and regulatory standards. Their role bridges scientific expertise with organizational management to support successful research outcomes. They may also be responsible for strategic planning, resource allocation, and process optimization within scientific teams.

What is the difference between Science Operations Manager vs Laboratory Supervisor?

AspectScience Operations ManagerLaboratory Supervisor
ResponsibilitiesOversees scientific projects, manages teams, ensures compliance, and coordinates operationsManages daily lab activities, supervises technicians, and maintains lab safety
Required CredentialsTypically requires a degree in science or related field, with experience in project managementUsually requires a science degree and lab experience, with supervisory skills
Work EnvironmentOffice-based with laboratory oversight, often in research institutions or biotech firmsHands-on lab environment, direct supervision of lab staff
Industry UsageCommon in research organizations, biotech, pharmaceuticalsFound in academic labs, research facilities, biotech companies

The Science Operations Manager focuses on overseeing scientific projects and managing teams at a strategic level, while the Laboratory Supervisor handles daily lab operations and staff supervision. Both roles require relevant science credentials and experience, but their scope and focus differ significantly.

What are popular job titles related to Science Operations Manager jobs in Minnesota? For Science Operations Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Science Operations Manager jobs in Minnesota look for? The top searched job categories for Science Operations Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Science Operations Manager jobs? Cities in Minnesota with the most Science Operations Manager job openings:
Science Operations Manager jobs near you
Senior AI/Data Scientist (MSP)

Senior AI/Data Scientist (MSP)

Cargill

Wayzata, MN • On-site

$105K - $160K/yr

Full-time

Posted 27 days ago

Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

18th of 48 rated food wholesalers

Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.
Job Purpose and Impact
  • The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal supervision, this role extracts and integrates complex data from various sources, builds advanced models suitable for the business use case and evaluates model performance for accuracy, scaling and deployment. This job also develops compelling and clear communication materials to facilitate partner on board.
  • By leveraging diverse and expansive data sources, this role applies advanced forecasting, optimization, and machine learning techniques to transform how decisions are made across the supply chain. The Senior Professional accelerates AI adoption by partnering with business and technology teams. They work to embed models into core workflows, operationalizing data science to deliver sustained business impact.

Key Accountabilities
  • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
  • DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas.
  • MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights.
  • AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. .
  • DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing.
  • COMMUNICATION: Presents techniques and results to technical and non-technical audiences.
  • CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities.
  • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications.

Qualifications
  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred Qualifications:
  • Master's degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or a related field.
  • Deep experience leading the design, deployment, and scaling of applied AI/ML solutions that drive measurable business impact across complex value chains.
  • Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including model governance, performance monitoring, and lifecycle ownership.
  • Recognized depth in forecasting and optimization, with a track record of influencing enterprise-level decisions across supply chain, trading, or operations.
  • Experience with operations research planning, scheduling and capacity problems.

Short Description
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).
Equal Opportunity Employer, including Disability/Vet.

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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