Data Scientist II - Lead Population Health Analyst (PFK)

Nationwide-Children; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

Nationwide Children's Hospital is seeking a Lead Population Health Data Analyst to design and execute advanced analytics for evaluating population health programs and guiding strategic decisions. This senior role partners with clinical, business, and operational leaders to define analytic questions and measure intervention impact using rigorous methods on claims and EMR data.

The candidate will apply causal inference, propensity score matching, and difference-in-differences techniques, and will

Qualifications

• Master’s degree required in a quantitative or related field.
• Experience with Python/R/MATLAB/SAS for analytics and data manipulation.
• Proficiency in statistical modeling, ML, NLP, and geospatial analytics.
• Strong interpersonal and cross-functional collaboration skills.

Responsibilities

• Organizes and analyzes large data sets to develop insights and predictive models.
• Applies statistical and predictive analysis, NLP, geospatial analysis, or ML techniques to healthcare data.
• Identifies patterns and trends; communicates findings to stakeholders.
• Collaborates with cross-functional teams to implement data-driven solutions.
• Mentors less experienced staff and stays current with data science trends.

Skills

Python

R

MATLAB

SAS

NLP

Geospatial analytics

Statistical modeling

Machine learning

Interpersonal communication

Collaboration

Education

Master’s Degree (Computer Science, Engineering, Mathematics, Statistics, Clinical Informatics, Nurse Informatics)

Job description

Overview:Fulltime, benefits eligible roleMon-Fri 8:00am-5:00pmThe Lead Population Health Data Analyst is a senior individual contributor and technical leader responsible for designing and executing advanced analytics to evaluate population health programs and inform strategic decision-making. This role partners directly with business, clinical, and operational leaders to define analytic questions, develop evaluation methodologies, and measure the impact of interventions across healthcare populations.This individual will serve as an internal expert in program evaluation and causal inference, applying rigorous statistical and quasi-experimental methods (e.g., propensity score matching, difference-in-differences) to healthcare data, including claims and electronic medical record (EMR) data.Job Description Summary:Organizes and analyzes complex or large data sets to develop insights and predictive models in support of research, operation, and clinical care at Nationwide Children’s Hospital.Job Description:Essential Functions:Collects and organizes large and complex sets of data from various sources.Leverages structured and unstructured data sets to create analytical solutions using statistical and predictive analysis, natural language processing, geospatial analysis, or machine learning techniques.Identifies patterns and trends in data to provide insights and recommendations.Communicates findings and results to stakeholders through reports and presentations.Collaborates with cross-functional teams to develop and improve data-driven solutions.Stays up-to-date with industry trends and advancements in data science techniques.Assists in the mentoring of less experienced staff.Education Requirement:Master’s Degree in Computer Science, Engineering, Mathematics, Statistics, Clinical Informatics, Nurse Informatics, or a related discipline, required.Licensure Requirement:(not specified)Certifications:(not specified)Skills:Strong desire to learn and highly collaborative.Exceptional interpersonal and communication skills to interact effectively with all levels of the organization and external contacts.Experience:Four years ofscripting language or software development experience using Python, R, MATLAB, or SAS etc., required.Four years of data manipulation and analysis using Python, R, MATLAB, or SAS etc., required.Four years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geospatial analytics, required.Some experience working with healthcare data, preferred.Physical Requirements:OCCASIONALLY: Bend/twist, Climb stairs/ladder, Lifting / Carrying: 21-40 lbs, Lifting / Carrying: 41-60 lbs, Squat/kneel, Standing, WalkingFREQUENTLY: Computer skills, Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbsCONTINUOUSLY: Audible speech, Color vision, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, SittingAdditional Physical Requirements performed but not listed above:(not specified)"The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"