Find The RightJob.
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
You’ll be responsible for creating next-generation data and analytic solutions that help us serve clients and stay on the cutting edge in the industry.
You will create next-generation data and analytics solutions that deliver impactful insights for clients, leveraging large-scale medical and pharmacy claims data to inform strategic decision-making. You will partner with client teams to produce high-quality analyses and enable rapid, data-driven client development work, ensuring that insights are actionable and aligned with client needs.
In this role, you will design and develop scalable, reusable solutions and products that generate data-driven insights, advocating for the thoughtful use of advanced analytics tools and methodologies. You will guide teams on selecting the right datasets and analytic strategies, ensuring that the solutions delivered maximize client impact. Additionally, you will collaborate across practices, analytics groups, and technical teams to ensure efforts are synergistic and leverage cutting-edge approaches.
You will act as a thought partner to internal and external stakeholders, showcasing McKinsey’s data ecosystem and capabilities while aligning solutions with client objectives. You will also drive awareness of the firm’s data risk policies, refining and operationalizing KPIs to ensure compliance and accountability.
The Data CoE is a highly visible team and a high-profile position; the Data CoE works regularly with McKinsey life sciences senior leaders and clients. McKinsey’s Life Sciences practice serves clients across multiple functional service lines spanning Commercial, R&D, and Operations.
Finally, you will continuously seek opportunities to enhance the value delivered to clients, challenging the status quo and integrating innovative approaches to data and analytics where they drive measurable impact.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
YOUR QUALIFICATIONS AND SKILLS
Bachelor’s or advanced professional degree in engineering, computer science, physical sciences, statistics, data science or medicine from a recognized accredited institution of higher learning, college, or university
3+ years of professional experience as a data analyst or data scientist; preferred consulting experience within Life Sciences, Pharmaceutical, Healthcare, biotech or MedTech device industries
Experience working with, processing, and analyzing healthcare medical and pharmacy claims data, EMR data, clinical trials data, commercial data, and other types of data relevant for healthcare, pharmaceutical and medical device business use cases
Experience in advanced analytics techniques, including machine learning and GenAI applications
Working knowledge of at least two claims’ data sets (e.g. IQVIA, Symphony, Healthverity, CMS, DRG, Compile, Komodo, Truven, etc.)
Experience applying data science methods (i.e., statistical modeling, machine learning techniques: regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems
Understanding of key terminologies including: ICD-10, NDC, CPT, HCPCS, NPI, SNOMED, LOINC, RxNorm
Proficiency in at least two of the following coding languages: SQL, Python, or R
Proficiency in at least one of the following visualization/BI tools: Tableau, PowerBI, Qlik, or similar visualization/BI tools
Proficiency in handling large amounts of data in at least one of the following cloud computing tools: Snowflake, Microsoft Azure cloud, or AWS
Experience developing and executing detailed analytics workplan and presenting to senior stakeholders and clients
Ability to communicate analytical and technical concepts to both technical and non-technical colleagues
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