Life Sciences Consultant — Commercial Strategy

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 supporting strategy work across asset/brand strategy, launch, portfolio growth, market access, patient services, functional transformation, operating model, process redesign, and AI/data-enabled reinvention.

About the role

As a Consultant, you will support 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.

• Supporting asset/brand strategy, launch, portfolio growth, market access, patient services, and broader commercial strategy projects
• Assessing market dynamics, customer needs, competitive landscapes, access considerations, and commercial growth opportunities
• Supporting functional or enterprise reinvention work across operating model, process, governance, capability, and talent implications
• Identifying where AI, analytics, automation, copilots, or agentic workflows can improve commercial decision-making or execution
• Translating research, interviews, benchmarks, and data inputs into clear hypotheses, insights, and client-ready recommendations

Responsibilities

• Understand client and project objectives and proactively ask clarifying questions at the onset of work
• Own complex deliverables or workstream components from start to finish with limited guidance
• Conduct independent primary and secondary research and synthesize findings into hypotheses
• Apply life sciences commercial knowledge to connect asset, customer, access, functional, and enterprise implications
• Use structured problem solving and storytelling to communicate insights clearly in client-ready materials
• Build and apply strategy frameworks to break down ambiguous commercial questions and explore scenarios
• Support development of value cases by sizing commercial opportunities, defining assumptions, analyzing value drivers, and translating evidence into clear implications for strategy decisions
• Support AI/data-enabled strategy and reinvention work by defining use case objectives, workflow fit, required inputs, risks, and human-in-the-loop considerations
• Support proactive commercial strategy/reinvention opportunities and proposals by shaping the client problem, strategic approach, workplan, and value story
• Contribute to thought capital by developing reusable perspectives, frameworks, case examples, and market-facing points of view on priority commercial strategy topics
• Manage up effectively, flag risks early, and support analysts or peers through coaching, feedback, and work product review

Growth Opportunities

• Building broad commercial strategy experience across asset, function, and enterprise topics
• Supporting high-priority work for senior life sciences commercial leaders
• Developing expertise in commercial reinvention, AI/data-enabled strategy, and future ways of working
• Partnering across Accenture teams to bring together strategy, technology, analytics, operations, and industry expertise
• Growing into a workstream leader who can manage teams and advise clients across a range of commercial strategy questions

Requirements

Basic Qualifications

• Minimum of 3 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 3 years of experience in strategy consulting, professional services, or an equivalent internal corporate-strategy role
• Bachelor's Degree

Preferred Qualifications

• Ability to flex across asset-level strategy and functional/enterprise-level reinvention questions
• Strong problem-solving skills, including ability to structure ambiguous questions, synthesize research, and translate findings into recommendations
• Understanding of commercial strategy fundamentals such as market dynamics, customer behavior, access considerations, competitive positioning, value drivers, and launch/growth levers
• Exposure to operating model, process redesign, governance, capability building, or transformation roadmap work
• Working knowledge of AI/data concepts, including predictive analytics, GenAI, copilots, workflow automation, and agentic solutions
• 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, and client-facing presentation skills

Benefits

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here.

Pay

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.

Role Location Annual Salary Range

• California: $70,350 to $188,100
• Cleveland: $59,100 to $188,100
• Colorado: $59,100 to $188,100
• District of Columbia: $59,100 to $188,100
• Illinois: $59,100 to $188,100
• Maine: $59,100 to $188,100
• Maryland: $59,100 to $188,100
• Massachusetts: $59,100 to $188,100
• Minnesota: $59,100 to $188,100
• New York: $66,300 to $188,100
• New Jersey: $59,100 to $188,100
• Virginia: $59,100 to $188,100
• Washington: $80,200 to $188,100

Locations include: New York City, NY; Albany, NY; Arlington, VA; Atlanta, GA; Austin, TX; Beaverton, OR; Bentonville, AR; Boston, MA; Carmel, IN; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Culver City, CA; Denver, CO; Des Moines, IA; Detroit, MI; Hartford, CT; Houston, TX; Irving, TX; Kirkland, WA; Miami, FL; Milwaukee, WI; Minneapolis, MN; Morristown, NJ; Mountain View, CA; Nashville, TN; Oklahoma City, OK; Overland Park, KS; Philadelphia, PA; Pittsburgh, PA; Raleigh, NC; Redmond, WA; Sacramento, CA; San Diego, CA; San Francisco, CA; Scottsdale, AZ; Seattle, WA; St. Louis, MO; St. Petersburg, FL; Walnut Creek, CA.