Jobs · Analyst · Georgia

Senior Consultant - Life Sciences Data & Analytics

Guidehouse · Atlanta, GA · 2 wk ago
On-siteAnalyst$98k–$163k/yrFull-time

Travel Required: Up to 10%

About the role

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.

Responsibilities

  • Develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods.
  • Conduct advanced analytics using big datasets, including claims, affiliations, payer, sales, and other sources.
  • Build internal tools and automate workflows to accelerate delivery timelines and improve team productivity.
  • Document, process map, and train the business on techniques utilized.
  • Analyze complex information, quality check results, and develop structured, data-informed stories.
  • Convey technical execution summaries and insight recommendations to various stakeholders, including senior management.
  • Work independently and collaboratively in a matrixed organization.
  • Travel to Guidehouse and client sites across the US, up to 10% of the time.

Requirements

  • BA/BS degree in a quantitative field, such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study.
  • 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.
  • Ability to 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.
  • Experience performing data analytics on large health data sets and strong knowledge of modern datasets and analytics environments.
  • Strong fluency coding in SQL, Python (or other equivalent scripting language), and cloud data platforms.
  • Knowledge of life sciences data (e.g., claims, EHR, sales data, formulary, and coverage data).
  • Collaborative and a team player.
  • Authorized/eligible to work for any US employer without sponsorship.

Qualifications

  • Excellent written and oral communication skills.
  • 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.

Pay

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.

Benefits

  • 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

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