Skip to content
AxleAxleBethesda, MD

Bioinformatics Scientist

Develops and maintains bioinformatics pipelines for NGS data analysis including variant calling, gene expression, and genomics assembly. Provides statistical modeling, scripting support, and experimental design consulting for NIAID researchers; requires 4+ years experience and expertise in Python/R and pipeline frameworks.

120k – 130k/yr
On-site4+ YOEData Science

About the role

Responsibilities

  • Address bioinformatics, scientific computing, and data analysis needs of users within the Division of Intramural Research (DIR) at NIAID and collaborators by providing expertise in statistical design of biological experiments involving high-throughput genome-scale technologies, data mining, knowledge discovery, automated workflow development, and experimental design consulting.
  • Provide bioinformatics support including somatic and germline variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, ATAC-seq, and development of high-throughput pipelines.
  • Provide programming and troubleshooting support to Research Technologies Branch (RTB) of NIAID and collaborating institutes for research data dissemination.
  • Perform computational data analysis on genomic and clinical research data.
  • Work with staff on scientific programming and experimental design; provide statistical support/analysis on research data.
  • Contribute to and co-author scientific publications in peer-reviewed journals.
  • Contribute to development of scalable and flexible resource for NGS bioinformatics, structural biology, computational, and machine learning data support to NIAID scientists.

Requirements

  • NGS analysis: whole-exome, whole-genome, RNA-seq, ChIP-Seq (long- and short-read technologies).
  • Statistical modeling.
  • Scripting.
  • Biological interpretation.

Specific Qualifications

  • Minimum Bachelor's degree in related field (Master's or Ph.D. preferred).
  • 4+ years experience in bioinformatics.
  • 2+ years experience developing and maintaining production bioinformatics pipelines.
  • Expert in 2 of: Python, R, C/C++, sh/bash.
  • Experience building images using 1 of: Docker, Podman, Singularity/Apptainer.
  • Expert in 1 pipeline framework: Snakemake, Nextflow, CWL/WDL.
  • Expertise building technical and user documentation for tools, pipelines, and applications.
  • Experience building pipelines locally on-premise using HPC infrastructure.
  • Plus: Cloud (AWS/GCP/Azure), frameworks (Django, Flask, RShiny, Electron, Flutter, React), laboratory setting.

Skills

PythonRC/C++BashDockerSingularityApptainerPodmanSnakemakeNextflowCwlWdlNgsRna-SeqChip-Seq

Similar roles

Data Science jobs
AE Studio

Applied AI Data Scientist

AE StudioLos Angeles, CA +1

Builds data-driven solutions and machine learning models for client projects and AI alignment research using Python, LLMs, deep learning frameworks like PyTorch/TensorFlow/JAX. Applies statistical ML, causal inference, and agile methods to deliver impactful products.

120k – 220k/yr
RemoteData Science
Swayable

Research Data Scientist

SwayableSan Francisco, CA +1

Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.

125k – 165k/yr
On-siteData Science
Lyft

Data Scientist, Optimization

LyftNew York, NY

Develop mathematical optimization and ML models for Lyft's Planned Pricing systems to set efficient price targets. Requires PhD in quantitative field, strong optimization experience, and Python proficiency in production environments.

128k – 160k/yr
HybridData Science
Lyft

Data Scientist, Decisions - Central Market Management

LyftSan Francisco, CA +1

Data Scientist on Lyft's Central Market Management team, leading data-driven decision frameworks, measurement strategies, attribution models, and operational efficiency initiatives. Requires 3+ years in analytics/data science, strong SQL/Python skills, and ability to influence cross-functional strategy in ambiguous environments.

128k – 160k/yr
Hybrid3+ YOEData Science
Mercor

Economist, Marketplace

MercorSan Francisco, CA

Economist designing pricing, incentives, allocation rules, and running causal experiments for a two-sided AI talent marketplace. Requires advanced economics degree, strong causal inference and market design skills, and proficiency in SQL/Python/R.

130k – 500k/yr
On-siteData Science