Research Science Senior Analyst - Life Sciences

You will join a diverse team of data scientists, engineers, product managers and translators as part of the Life Sciences Data CoE, within the McKinsey Life Sciences Practice. Impact You'll be responsible for creating 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. 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. Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Qualifications 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 Benefits FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $108,400 - $110,000 USD. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details about our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. #J-18808-Ljbffr