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jobRxiv Logo jobRxiv · Research and Development

Lead Bioinformatician

United States 130000.00 - 150000.00 USD / Year · Job Posted January 06, 2026
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Job Description

We are seeking a lead bioinformatician to establish robust interpretative frameworks for novel NGS-based assays. A successful candidate will integrate with experimental and computational teams, collaborating on experimental design, data pipeline development, and conceptually lead and implement data analysis and interpretation. Ideal candidates will have a strong engineering mindset, excited to build analysis workflows from the ground up and enjoy the creative challenge of decoding information-rich datasets into actionable insights.

Job Responsibility

  • Plan, develop, and execute reusable pipelines for processing NGS data
  • Benchmark and evaluate alternative data processing procedures
  • Conceptualize, design, and implement a robust interpretation framework
  • Identify and integrate multiomic data to inform data interpretation
  • Generate reports/dashboards for data QC metrics and interpretive readouts
  • Collaborate with experimentalists on experimental design and protocol optimization
  • Communicate results (oral, written) to colleagues, collaborators, and stakeholders
  • Manage and advise junior associates
  • Maintain knowledge of state-of-the-art methodologies and best practices

Requirements

  • PhD in Bioinformatics, Computational Biology, Systems Biology, or related field
  • In-depth experience with NGS data processing (e.g., RNA-seq, ChIP/CLIP-seq, CRISPR screens, peak calling)
  • Fundamental understanding of mRNA lifecycle and associated experimental assays
  • Mastery of core statistical and ML procedures for normalization, differential analysis, dimensionality reduction, and clustering
  • Knowledge of statistical power analyses for experimental design
  • Strong interdisciplinary communication skills
  • Fluency in Unix and scripting languages (e.g., Python, R)
  • Experience with version-control and writing technical documentation

Nice to have

  • Additional postdoctoral or industry experience
  • Complex (heterogenous) data integrations for functional insights
  • Factor analysis for signal decomposition (e.g., NMF, model or VAE-based methods)
  • DNN or other ML methodologies for sequence-to-profile (coverage, expression) modeling, with a focus on de novo feature identification
  • Specialized expertise in mRNA-protein interactions and associated assays
  • Pipeline development with a workflow language (e.g., Nextflow, Snakemake)
  • Advanced experimental design procedures (e.g., Bayesian optimization, AI+HITL)
  • Cloud computing (GCP, AWS) and/or HPC (SLURM, LSF)
  • Schema design and database management for cataloguing datasets
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