Job Family:
Strategy & Transformation Consulting
Travel Required:
Clearance Required:
What You Will Do:
Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today’s challenges, while anticipating tomorrow’s. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions.
As a Senior Consultant, you are responsible for data management, technical delivery, and coaching data engineers to execute client work. In this role you will develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods in addition to conducting advanced analytics using big datasets, including claims, affiliations, payer, sales, and other sources. You will be responsible for building internal tools and automating workflows to accelerate delivery timelines and improve team productivity. Strong candidates are able to clearly document, process map, and train the business on techniques utilized and constantly search for opportunities to improve outcomes.
What You Will Need:
- A BA/BS degree in a quantitative field, such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study, is required.
- A Minimum of FOUR (4) years of prior relevant consulting or work experience working with large global pharma, mid-sized pharma, and/or biotech clients.
- Strong understanding of the pharmaceutical industry, including drug development and launch.
- Strong foundation across life science functions, including commercial operations, market access, patient services, and medical
- The ability work independently to analyze complex information, quality check results, and develop a structured, data-informed story
- Excellent communication skills to convey technical execution summaries and insight recommendations to various stakeholders, including senior management.
- Experience performing Data Analytics on large health data sets and possess a strong knowledge of modern datasets and analytics environments
- Strong fluency coding in SQL, Python (or other equivalent scripting language), cloud data platforms, and knowledge of life sciences data (e.g., claims, EHR, sales data, formulary, and coverage data)
- Ability to work in a matrixed organization
- Must be collaborative and a team player.
- Must be willing and able to travel to Guidehouse and client sites across the US, up to 10% of the time.
- Authorized/eligible to work for any US employer without sponsorship.
What Would Be Nice To Have:
- Must have excellent written and oral communication skills.
- An advanced degree/PhD preferred.
- Experience working with data platforms such as Databricks, Snowflake, and Palantir
- Working knowledge of AI/ML and applications in the life sciences industry
- Demonstrated success in formally supervising, coaching, and mentoring junior-level staff, including ownership and guidance of their career development.
The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Skills Required
- BA/BS degree in a quantitative field (Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related)
- Minimum of four (4) years prior relevant consulting or work experience with global or mid-sized pharma and/or biotech clients
- Strong understanding of the pharmaceutical industry, including drug development and launch
- Strong foundation across life science functions (commercial operations, market access, patient services, medical)
- Ability to work independently to analyze complex information, quality check results, and develop structured, data-informed stories
- Excellent communication skills to convey technical execution summaries and recommendations to stakeholders including senior management
- Experience performing data analytics on large health datasets and knowledge of modern datasets and analytics environments
- Strong fluency coding in SQL, Python (or equivalent scripting language), and experience with cloud data platforms; knowledge of life sciences data (claims, EHR, sales, formulary, coverage)
- Ability to work in a matrixed organization and be collaborative/team-oriented
- Willing and able to travel to Guidehouse and client sites across the US, up to 10%
- Authorized/eligible to work for any US employer without sponsorship
- Advanced degree/PhD
- Experience with data platforms such as Databricks, Snowflake, and Palantir
- Working knowledge of AI/ML and applications in the life sciences industry
- Demonstrated success supervising, coaching, and mentoring junior-level staff
- Excellent written and oral communication skills (listed as nice-to-have)
Guidehouse Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.
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Healthcare Strength — Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
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Parental & Family Support — Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.
Guidehouse Insights
What We Do
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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