Hybrid Healthcare Data Scientist (R & Cohort Building)

Headwater Science; Durham (NC); Hybrid; USD 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Health, dental, and vision coverage

401(k) with company match

Generous PTO and holidays

Paid parental leave

Job summary

Headwater Science, a data science and methods company, is seeking a biostatistics/data science professional to transform healthcare data into analytic-ready datasets and perform statistical analyses using R. You will work with a tight-knit team of epidemiologists and statisticians on study protocols, SAPs, and reproducible pipelines.

The role emphasizes building cohorts, running analyses, generating reports, and delivering client-ready results while adhering to quality controls.

Qualifications

• Master's degree, or two or more years of relevant work experience, in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field.
• Strong programming skills in R.
• Experience querying relational databases, whether directly in SQL or through an interface like dbplyr.
• Experience writing code that others can read, run, and reproduce.
• Strong communication, presentation, and collaboration skills with cross-functional technical and scientific teams.

Responsibilities

• Transform source data from healthcare databases into analytic-ready data sets.
• Write and run R code to build cohorts and perform analyses.
• Produce tables and figures that constitute client deliverables and ensure quality control.

Skills

R programming

SQL / dbplyr

Code readability & reproducibility

Communication & collaboration

Education

Master's degree or 2+ years in biostatistics/epidemiology/health economics/bioinformatics/data science

Tools

R

SQL

dbplyr

Job description

Headwater Science, a data science and methods company, is seeking a biostatistics/data science professional to transform healthcare data into analytic-ready datasets and perform statistical analyses using R. You will work with a tight-knit team of epidemiologists and statisticians on study protocols, SAPs, and reproducible pipelines.

The role emphasizes building cohorts, running analyses, generating reports, and delivering client-ready results while adhering to quality controls.