Analyzing and interpreting data; Doing experiments. [25]

Bioinformatician

What this job does:

Build and run bioinformatics workflows (NGS, multi-omics, single-cell, etc.), turn raw sequencing data into interpretable results, and maintain reproducible pipelines and infrastructure used by research or product teams. Similar to Computational Biology but more tool-oriented.

This job is similar to these lab/research tasks:

Pipelines: write and version analysis scripts, schedule batch jobs; QC: check controls, troubleshoot failed runs, validate sample metadata; Interpretation: differential analysis, pathway analysis, integrate omics; Infrastructure: manage storage, compute, containers;
Other: document SOPs, present results in lab meeting.

Typical starting salary range

$145k to $225k

Salary estimate represented as 25th to 75th percentile. Gathered from recent job postings, Glassdoor.com, and Salary.com

Daily task breakdown

Pipeline/workflow development & maintenance 30%
Data processing & QC (alignment, variant calling, counts) 25%
Downstream analysis & biological interpretation 20%
Infrastructure (cloud/HPC, data management) 15%
Other (documentation, collaboration, mentoring) 10%.

Skills you'll use in this job:

NGS/multi-omics analysis; Python and/or R; workflow tools (Nextflow/Snakemake); cloud/HPC and containers (Docker); data QC and reproducibility; communicating findings to wet-lab or clinical teams.

Talk about these PhD skills in your resume and interview:

Connect your PhD to: building end-to-end analysis pipelines, rigorous QC, reproducible notebooks/scripts, and explaining biological meaning. Use examples of handling messy experimental data, benchmarking tools, and creating clear visualizations for collaborators.