Senior Data Scientist, Patient Access Strategy & Analytics

BioSpace; North Chicago (IL); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive benefits package

Paid time off

Incentive programs

Job summary

A healthcare analytics company is seeking a Senior Data Scientist to lead advanced analytics supporting patient access processes. The role involves developing predictive algorithms, conducting rigorous analyses of various data types, and advising management on data governance. The ideal candidate will have significant experience in data science programming and a background in the healthcare industry. This position offers a hybrid work setup in North Chicago, IL.

Qualifications

• 8+ years of experience required, preferably in a healthcare setting.
• 5+ years experience with machine learning and deep learning.
• Strong track record of deploying models in operational environments.

Responsibilities

• Spearhead analytical initiatives for operational efficiency.
• Produce innovative analytic solutions for patient access processes.
• Interact with senior management to achieve program objectives.

Skills

Strong analytical and problem-solving skills

Proficiency in data science programming (R, Python, SQL)

Experience with regression analysis and machine learning

Exceptional interpersonal skills

Familiarity with relational and non-relational DBMS

Education

Bachelor's degree in Data Science/Analytics

Masters in Statistics or related field

PhD in relevant field

Tools

R

Python

SQL

Job description

A healthcare analytics company is seeking a Senior Data Scientist to lead advanced analytics supporting patient access processes. The role involves developing predictive algorithms, conducting rigorous analyses of various data types, and advising management on data governance. The ideal candidate will have significant experience in data science programming and a background in the healthcare industry. This position offers a hybrid work setup in North Chicago, IL.