Senior Consultant – Life Sciences Data & Analytics

🔥 12 hours ago

🗽 New York, Massachusetts, +2 more states – Remote

🗽 New York – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚔️ Virginia – Remote

💵 $98k - $163k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

🏥 Healthcare

🎖️ Defense

📦 Logistics

💰 Grant on 2023-02

Healthcare • Defense • Logistics

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• Partner with pharmaceutical, biotech, medical device, and diagnostic clients to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. • Manage data management and technical delivery for client work. • Coach data engineers executing client engagements. • Develop and improve predictive models for outcomes, efficacy proxies, and forecasting using statistical and machine learning methods. • Conduct advanced analytics using large datasets, including claims, affiliations, payer, sales, and other sources. • Build internal tools and automate workflows to accelerate delivery timelines and improve team productivity. • Document processes, create process maps, and train the business on techniques used. • Identify opportunities to improve outcomes. • Analyze complex information, quality check results, and develop structured, data-informed stories. • Convey technical execution summaries and insight recommendations to stakeholders, including senior management. • Supervise, coach, and mentor junior-level staff and guide their career development.

🎯 Requirements

• A BA/BS degree, preferably in an analytics field such as Data Analytics/Science, Mathematics, Computer Science, Engineering, Statistics, Business Analytics, or related course of study, is required. • 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, including senior management. • 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), cloud data platforms, and knowledge of life sciences data, including 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. • Advanced degree/PhD preferred. • 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, including ownership and guidance of their career development. • Excellent written and oral communication skills.

🏖️ 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 • Flexible benefits package • Up to 10% travel