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Scientific Manager Jobs in Michigan (NOW HIRING)

Syneos Health

Payor Medical Science Liaison

Detroit, MI · On-site

$180 - $197.50/hr

Ability to quickly understand and translate complex scientific data and realize the potential impact of that data on clinical practice and potential research needs. * Experience in Managed Care/PBM ...

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All JobsScientific JobsScientific Manager JobsScientific Manager Jobs in Michigan

Scientific Manager information

See Michigan salary details

$25K

$80.5K

$131.3K

How much do scientific manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for scientific manager in Michigan is $80,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,398.00 and $100,989.00 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 Michigan?

The most popular types of Scientific jobs in Michigan are:

What are popular job titles related to Scientific Manager jobs in Michigan?

For Scientific Manager jobs in Michigan, the most frequently searched job titles are:

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

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

What cities in Michigan are hiring for Scientific Manager jobs?

Cities in Michigan with the most Scientific Manager job openings:

Scientific Manager jobs near you
Infographic showing various Scientific Manager job openings in Michigan as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $80,522 per year, or $38.7 per hour.

Life Sciences Manager Commercial Strategy

Accenture

Detroit, MI • On-site

Full-time

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

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 494 rated business services

Job description

Life Sciences Industry & Enterprise Practice Manager

Join our Life Sciences Industry & Enterprise practice to help leading pharma, biotech, and medtech clients define commercial strategy and reinvent how commercial work gets done. This role focuses on leading strategy work across asset / brand strategy, launch, portfolio growth, market access, patient services, functional transformation, operating model, process redesign, and AI/data-enabled reinvention.

What would you do?

As a Manager, you will lead client workstreams that help life sciences organizations make critical commercial decisions — from how to launch and grow assets to how to redesign functions and enterprise ways of working.

Your work could include:

  • Leading asset / brand strategy, launch, portfolio growth, market access, patient services, and broader commercial strategy workstreams
  • Assessing market dynamics, customer needs, competitive landscapes, access considerations, and commercial growth opportunities
  • Translating strategic recommendations into functional or enterprise implications across operating model, process, governance, capability, talent, and technology
  • Identifying where AI, analytics, automation, copilots, or agentic workflows can improve commercial decision-making, execution, or ways of working
  • Facilitating client discussions and synthesizing research, interviews, benchmarks, and data inputs into executive-ready recommendations

In this role you will be expected to:

  • Anticipate risks, dependencies, and shifting client priorities; prepare teams to pivot as programs evolve while keeping delivery focused on outcomes
  • Shape client objectives into clear workplans, hypotheses, analyses, and deliverables
  • Lead workstreams and manage analysts/consultants to produce high-quality, client-ready outputs
  • Manage day-to-day client relationships, including working sessions, feedback, and next steps
  • Apply life sciences commercial knowledge to connect asset, customer, access, functional, and enterprise implications
  • Bring a robust point of view on the "right answer" and shift from executor to advisor
  • Use structured problem solving and storytelling to communicate recommendations clearly and persuasively
  • Define value unlock opportunities by identifying where commercial strategy can drive growth, efficiency, differentiation, or better customer / patient outcomes; shape the value story, KPIs, and implications for leadership decisions
  • Support AI/data-enabled strategy and reinvention work by shaping use cases, workflow fit, required inputs, risks, governance, and human-in-the-loop considerations
  • Support proactive commercial strategy / reinvention opportunities and proposals by shaping the client problem, workplan, solution approach, and value story
  • Contribute to thought capital by developing reusable perspectives, frameworks, case examples, and market-facing points of view on priority commercial topics

Growth Opportunities

You will continue to grow through:

  • Leading high-priority commercial strategy and reinvention work for senior life sciences leaders
  • Building breadth across asset, function, and enterprise commercial strategy topics
  • Developing expertise in AI/data-enabled commercial strategy and future ways of working
  • Partnering across Accenture teams to bring together strategy, technology, analytics, operations, and industry expertise
  • Coaching analysts and consultants into future life sciences strategy practitioners

Who do we need?

We would love to hear from you if you have:

  • Minimum of 6 years of life sciences commercial experience across asset / brand strategy, launch, portfolio growth, marketing, medical, market access, patient services, field, or commercial ops / transformation topics
  • Minimum of 5 years of experience in strategy consulting, professional services, or an equivalent internal corporate-strategy role.
  • Bachelor's Degree

Preferrred Qualifications

  • Ability to lead work across both asset-level strategy and functional / enterprise-level reinvention questions
  • Demonstrated ability to lead a workstream, manage clients, and coach junior team members
  • Strong client management skills, including ability to build trusted relationships, facilitate working sessions, manage feedback, align stakeholders, and communicate risks / tradeoffs clearly
  • Strong understanding of commercial strategy fundamentals such as market dynamics, customer behavior, access considerations, competitive positioning, value drivers, and launch / growth levers
  • Experience with operating model, process redesign, governance, capability building, transformation roadmap, or implementation planning work
  • Proactive mindset around innovative ways of working, including how AI, automation, copilots, and agentic workflows can improve productivity, quality, collaboration, and speed of execution
  • Working knowledge of AI/data concepts, including predictive analytics, GenAI, copilots, workflow automation, and agentic solutions
  • Practical understanding of how AI/data can be applied responsibly in commercial workflows, including where it creates value, what risks or dependencies must be managed, and how to support adoption with appropriate human oversight
  • Comfort partnering with technology, analytics, AI, and platform teams while staying anchored in the business problem
  • Proactive mindset around innovative ways of working, including how AI, automation, copilots, and agentic workflows can improve productivity, quality, collaboration, and speed of execution for external project & internal Accenture work
  • Strong PowerPoint, Excel, written communication, storytelling, facilitation, and executive communication skills

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