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Computational Biologist / Bioinformatics Workflow Developer

Remote • Posted 2 days ago • Updated 2 days ago

Contract W2

12 Months

No Travel Required

Remote

Depends on Experience

Fitment

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Job Details

Skills

Bioinformatics
Artificial Intelligence
Biology
WDL
Nextflow
CWL
snakemake
HPC
R
Python
high-performance computing
Git
AI/LLM
FAIR
Findable
Accessible
Interoperable
Reusable
Docker

Summary

Position: Computational Biologist / Bioinformatics Workflow Developer

Location: Remote

Key Responsibilities

Data Analysis & Integration: Perform comprehensive analysis of multi-modal datasets, including RNA-seq, epigenetics, GWAS, proteomics, and perturbational data at bulk and single-cell levels
Workflow Development: Translates best in class algorithmic approaches into reproducible and efficient bioinformatics workflows in standardized workflow languages (Nextflow, WDL).
Statistical Modeling: Customize libraries for multivariate statistical analyses, machine learning models, and survival analysis to identify predictive signatures and biological signals.
Pipeline & Tool Development: Complement and extend existing codebases to generate specific visualizations, or develop new computational methods to address limitations in current approaches.
Cross-Functional Communication: Effectively convey complex data analysis results to diverse audiences, including scientists, product owners, and software developers, through platforms like Jupyter or R Notebooks as well as in-person presentations.
Collaboration & Communication: Synthesize complex computational results into actionable insights and clear visualizations to be presented to interdisciplinary teams and internal stakeholders.
Technical Documentation: Ensure high standards of reproducibility by thoroughly
documenting code, analysis processes, and research findings.

Education & Experience

Education: Bachelor''s degree or higher in Computational Biology, Systems Biology, Bioinformatics, Genomics, Immunology, Statistics, or a related quantitative field.
Industry Experience: 2–5 years of relevant experience dealing with large-scale biological and clinical datasets.

Technical Skills

Workflow Languages: You have expert knowledge of a modern bioinformatics workflow language (WDL, Nextflow, CWL, or snakemake) and have deployed workflows in HPC or cloud environments.
Programming: Expert-level proficiency in R (including packages like ggplot2 and Bioconductor) and/or Python (specifically Scanpy, AnnData, Pandas, and scikit-learn).
Computational Environment: Proficiency using Linux-based servers, high-performance computing (HPC), and version control systems like Git.
Artificial Intelligence: Experience in agentic coding workflows or broadly leveraging AI/LLM tools to accelerate development and data analysis.
Data Stewardship: Familiar with FAIR (Findable, Accessible, Interoperable, Reusable) data principles, with experience using containerization technologies (e.g., Docker, Singularity) to create reproducible and portable computational environments. environments.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91166803
Position Id: 9056436
Posted 2 days ago

Contact the job poster

Firoz Ahmad

Recruiter @ Recruitment.ai

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