Associate/Senior Associate - Real-World Evidence Vertical - Healthcare Consulting

Position Summary :

We- re looking for a talented, committed and energetic individual to join our Insights & Analytics team as an Associate/Senior Associate to support our growing Real-World Evidence function. The Associate is an integral member of project teams where he/she will work side-by-side with consultants, database developers, and statisticians. With an eye for details, they are responsible for designing, developing and executing analyses on RWE data sources (e.g., administrative claims) that meet clients and internal project team needs and offer value-add insights. The Associate is also responsible for effectively communicating with all project team members, including managers on all matters related to project assignments. In this position, the Associate is expected to multi-task across multiple projects and project types concurrently while maintaining a high degree of quality and accuracy.

Position Responsibilities

- Analyze and interpret secondary real-world evidence (RWE) data to address the business objectives, leveraging SQL, Python, R or other programming languages

- Understand our client's business needs and creatively think through methodologies solutions for our client's business needs by leveraging secondary RWE data

- 2-3 years- experience analyzing real world data (RWD), including Medical and Drug administrative claims data.

- Develop an understanding of industry secondary data sources available and weigh pros and cons of leveraging each data source available

- Develop a highly visual and compelling PowerPoint presentation of the - story- and implications for our clients

- Drive insights and key takeaways from data analyses and develop clear, concise presentations that outline business rules, study results and actionable insights for our clients

- Add value by translating analysis findings into the - so-whats- for our clients

- Gain methodological expertise by aiding in proposal development as needed

- Serve as the point of contact for assigned client deliverables, communicating internally and externally with clarity, conciseness and effective listening skills.

- Work closely with general consultants, database developers and statisticians to develop and interpret business rules for study analysis

- Complete other tasks as assigned.

Position Requirements :

Education : BS, MS or PhD in Public Health, Computer Science, Mathematics, Statistics, Biostatistics or Engineering. Demonstrated interest in the life sciences field is a plus. Graduate training (Masters/Doctoral degree) in STEM fields or Masters in Public Health strongly preferred.

Work Experience : 2-3 years of work experience in analyzing healthcare administrative claims data (e.g., CMS, IQVIA, Truven, Symphony). Experience with life sciences real-world evidence data is a must.

Other Required Skills :

- Self-motivation, initiative, innovation, appropriately independent, and willing to go above the call of duty

- A positive attitude and eager to learn, solid work ethic and Intellectual curiosity

- Demonstrated quantitative and analytical skills (including interpretation of statistics)

- Strong problem solving and logical thinking skills

- 1-2 years interpreting and running statistical analysis is preferred with strong proficiency in statistical software (SAS, SPSS, R)

- 2-3 years programming skills for querying data for analysis (e.g, SQL, Python, R)

- 2-3 years- experience developing analytical methods leveraging RWD data to answer life science key business questions such as line of therapy, compliance/persistence, patient journey

- Extensive experience with MS Office Suite (Excel & PowerPoint)

- Excellent communication in English (written and verbal) and interpersonal relations skills

- Ability to manage time and work on multiple projects concurrently in a fast-paced environment

- Ability to manage work independently with guidance from team leaders in the US

- Interest in helping develop and grow our India office RWE group

- Ability to mentor and train others

- Familiarity with Business Intelligence tools (e.g. Tableau, PowerBI, etc.)