Senior Knowledge Analyst, Data Science - Life Sciences

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