Clinical Analytics & Data Mining Lead

Mindlance; Pennington (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

A national recruiting company is seeking a Scientific Data Mining Consultant in Pennington, NJ. The role requires expertise in integrating clinical trial datasets and proficiency in statistical tools such as R and SAS. Responsibilities include identifying patient cohorts, performing data analysis, and delivering insights to stakeholders. The ideal candidate should have a Master's degree in Statistics and significant experience in statistical analysis and data science. This position requires the candidate to work on-site in either Lawrenceville or Hopewell.

Qualifications

• 6-10 years experience in Statistical Analysis.
• 6-10 years experience in data science.
• Candidate must be willing to be on site in Lawrenceville or Hopewell.

Responsibilities

• Identify patient cohorts for analysis with physicians and scientists.
• Perform data filtering, querying and integration on SAS and R datasets.
• Formulate analysis strategy and engage stakeholders.
• Generate insights from integrated datasets through various analyses.
• Deliver insights in a presentable format to senior stakeholders.
• Support the creation and maintenance of analytics logs.
• Facilitate biweekly quantitative network forum meetings.

Skills

Integration analysis of clinical trial datasets

Expertise in R

Expertise in SAS

Proficiency in Spotfire

Scientific training in Cardiovascular and Oncology

Excellent interpersonal skills

Education

Master's degree in Statistics or related fields

Tools

SAS

R

Spotfire

MATLAB

Job description

A national recruiting company is seeking a Scientific Data Mining Consultant in Pennington, NJ. The role requires expertise in integrating clinical trial datasets and proficiency in statistical tools such as R and SAS. Responsibilities include identifying patient cohorts, performing data analysis, and delivering insights to stakeholders. The ideal candidate should have a Master's degree in Statistics and significant experience in statistical analysis and data science. This position requires the candidate to work on-site in either Lawrenceville or Hopewell.