Bachelor’s or master's degree in engineering, computer science, physical sciences, statistics, data science or medicine
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