Senior Analyst

Kelly Science, Engineering, Technology & Telecom; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company in the pharmaceutical manufacturing sector is seeking a Senior Analyst specializing in Real World Evidence and Machine Learning. This role involves analyzing large healthcare datasets to support epidemiological studies and improve medical device efficacy. The ideal candidate will have a strong background in statistical programming and communication skills, working collaboratively within a dynamic team. This position offers the flexibility of remote work on the US East coast.

Qualifications

• Minimum 5 years experience in statistical programming and database programming.
• In-depth knowledge of healthcare claims databases and electronic medical records.

Responsibilities

• Analyze real-world data for epidemiological studies and machine learning applications.
• Collaborate with teams in a fast-paced environment.

Skills

Statistical Programming

Machine Learning

Communication

Teamwork

Education

Masters or PhD in Epidemiology

Masters or PhD in Biostatistics

Masters or PhD in Data Science

Masters or PhD in Public Health

Masters or PhD in Informatics

Tools

R

SAS

SQL

Python

Job description

Join Kelly FSP as a Senior Analyst, RWE and Machine Learning Medical Device Epidemiology and Real World Data Sciences.

Location:

Titusville, NJ or Remote US East coast

Required Experience

• A Masters or PhD degree in Epidemiology, Biostatistics, Data Science, Public Health, Informatics, or other related field
• Minimum 5 years of experience in statistical programming in R or SAS, and database programming in SQL or Python
• Minimum 5 years of experience in programming against large healthcare datasets
• Minimum 2 years of relevant prior work experience in the healthcare industry within a pharmaceutical or device company, insurer, or health system
• In-depth knowledge of healthcare claims databases, electronic medical records, and hospital billing data
• Solid understanding of machine learning and artificial intelligence modeling
• Understanding of epidemiologic and statistical concepts such as confounding, bias, cumulative incidence, incidence rate, regression models, survival analyses
• Familiarity with comparative safety or effectiveness evaluations using propensity score balancing methods

Competency Requirements

• Strong written and verbal communication skills
• Strong teamwork skills and ability to collaborate effectively
• Ability to work in a fast-paced, changing environment
• At least 5 years of experience in programming against large healthcare datasets for patient-level longitudinal analysis

Educational Requirements

A Masters or PhD degree in Epidemiology, Biostatistics, Data Science, Public Health, Informatics, or related field

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Science and Other

Industries

Pharmaceutical Manufacturing and Medical Equipment Manufacturing