Consulting
Senior Knowledge Analyst, Data Science - Life Sciences
Job ID: 88879
Who You'll Work With
You will join a diverse team of data scientists, engineers, product
managers and translators as part of the Life Sciences Data Center of
Excellence (CoE), within the McKinsey Life Sciences Practice.
McKinsey's Life Sciences practice serves clients across multiple functional
service lines spanning Commercial, R&D, and Operations. 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. 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.
What You'll Do
You will be responsible for creating next-generation data and analytic
solutions that help serve clients and stay on the cutting edge in the
industry.You will be analyzing large amounts of medical and pharmacy claims data to
drive insights that will be used to make strategic decisions for clients. You
will partner with client teams across project settings to drive and produce
analyses and enable quick-turn analytics client development work. You will
develop solutions and products to craft reusable data-driven insights. You
will serve as an advocate for the use of data and analytics, guiding teams
on the proper selection of datasets and analytic strategies to ensure an
increase in the value of impact delivered to clients. You will collaborate
across other practices, analytics groups, and technical teams to ensure
efforts are synergistic and cutting-edge. You will also maintain and deliver a
compelling portrayal of McKinsey's data ecosystem and capabilities to
clients and internal stakeholders; drive awareness of the firm's policies
related to data risk and refine/operationalize KPIs.
Qualifications3+ years of professional experience as a data analyst or data scientist
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
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
Working knowledge of at least two claims data sets (e.g. IQVIA,
Symphony, Healthverity, CMS, DRG, Compile, Komodo, Truven, etc.)
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 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
Developing and executing detailed analytics workplan and presenting to senior
stakeholders and clients
Communicating analytical and technical concepts to both technical and
non-technical colleagues
Consulting experience within Life Sciences, Pharmaceutical, Healthcare,
biotech or MedTech device industries, creating and contributing to
presentations and client deliverablesApply Now
Apply LaterFOR 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 or hourly range 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 $110,000 - $112,700 -to help you understand what you can expect.
This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting,
ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. 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
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.
Job Skill Group - CSS Pre-Associate
Job Skill Code - SKA - Senior Knowledge Analyst
Function - Technology
