Biostatistician: Genomics, ML & Bioinformatics

Preludedx; Northern (KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

Preludedx is seeking a highly skilled Biostatistician to support development and validation of molecular diagnostics by integrating genomic and proteomic data. You will apply advanced statistics and ML to high-dimensional data and ensure QA of NGS pipelines in collaboration with cross-functional teams.

The role involves releasing analyses for clinical operations, designing models, performing variant analysis, developing reproducible code in R (SAS preferred), and contributing to regulatory

Qualifications

• Experience in CLIA/CAP-accredited labs supporting LDTs.
• Extensive NGS data analysis incl QC, normalization, interpretation (e.g., WES, RNA-Seq, targeted panels).
• Proficiency in R for statistics, visualization, reproducible research.
• Experience with machine learning techniques applied to biomedical data.
• Knowledge of bioinformatics tools and formats (FASTQ, VCF, BAM, GTF, Bioconductor).
• Experience in data integration from proteomic and genomic platforms is highly desirable.
• Familiarity with SAS for clinical or regulatory submissions is preferred.
• Excellent problem-solving skills, attention to detail, and ability to work independently or in teams.
• Experience in regulated FDA environments a plus.
• Familiarity with cloud-based computing (AWS, GCP) and version control (Git).
• Background in molecular diagnostics or translational research projects.
• Strong written and verbal communication skills for both technical and nontechnical audiences.

Responsibilities

• Release bioinformatics analyses in a timely manner to support clinical operations.
• Design and implement statistical models and machine learning algorithms to support discovery, validation, and performance evaluation of proteomic/genomic based diagnostics.
• Perform bioinformatic analysis of NGS datasets, including variant calling, annotation, and filtering.
• Develop and execute quality assurance protocols for NGS data pipelines and result reproducibility.
• Collaborate with bioinformatics, lab scientists, and software engineers to integrate multi-omic datasets and refine analytical workflows.
• Support study design, statistical analysis plans, and interpretation of findings for both internal R&D and regulatory submissions.
• Write comprehensive documentation, including analysis reports, methods validation, and pipeline specifications.
• Develop reproducible and well-documented code in R, with SAS proficiency preferred for regulatory or clinical data support.
• Contribute to publications and presentations of research findings in scientific and clinical settings.

Skills

CLIA/CAP labs

NGS data analysis

R programming

Machine learning

Bioinformatics tools

Proteogenomics integration

SAS

Regulatory submissions

Cloud computing

Git version control

Molecular diagnostics

Scientific communication

Education

PhD or Master's in Biostatistics/Bioinformatics/Computational Biology

Tools

R

SAS

Git

AWS/GCP

Bioconductor

FASTQ/VCF/BAM

Job description

Preludedx is seeking a highly skilled Biostatistician to support development and validation of molecular diagnostics by integrating genomic and proteomic data. You will apply advanced statistics and ML to high-dimensional data and ensure QA of NGS pipelines in collaboration with cross-functional teams.

The role involves releasing analyses for clinical operations, designing models, performing variant analysis, developing reproducible code in R (SAS preferred), and contributing to regulatory