Help & Supportcareers@gravityer.com
catching ideas
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bulk-RNA-Seq
January 14, 2026 – Present
A reproducible bulk RNA-seq analysis pipeline using DESeq2, including input validation, quality control, differential expression, pathway enrichment, and optional cell-type deconvolution.
View ProjectAWS-Genomics-Workflow
April 5, 2025 – April 5, 2025
AWS-Genomics-Workflow — GitHub repository
View Projectngs-automation-nextflow
April 3, 2025 – April 3, 2025
A modular and reproducible workflow built with Nextflow for processing short-read sequencing data. The pipeline integrates standard bioinformatics tools and follows best practices for scalable and automated analysis.
View ProjectProtein-Simulation-Pipeline
April 3, 2025 – April 3, 2025
A structured pipeline for performing all major steps of protein molecular dynamics simulations using GROMACS—starting from structure preparation to energy minimization, equilibration, production run, and analysis. Designed for reproducibility and adaptable to various simulation setups.
View ProjectGermline-Variant-Calling-Pipeline
March 16, 2025 – March 21, 2025
This repository provides a fully automated and modular Germline Variant Calling Pipeline using BWA, GATK, Samtools, Fastp, and bcftools. The pipeline supports end-to-end processing starting from raw FASTQ files to high-confidence, per-sample filtered VCFs using joint genotyping and variant quality score recalibration
View ProjectDifferential-Gene-Expression-Analysis
March 15, 2025 – March 15, 2025
A reproducible and beginner-friendly pipeline for Differential Gene Expression analysis using DESeq2, complete with step-by-step documentation, example data, and ready-to-use scripts in R.
View ProjectSingle-Cell-Analysis
July 11, 2023 – March 16, 2025
Single Cell Data Analysis Workflow using the Seurat package in R, covering essential steps, such as quality control, clustering, cell type identification, differential gene expression analysis, and visualization.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in bioinformatics, genomics, and computational biology. While this demonstrates deep domain expertise, the lack of diversity in project types (all personal, no team or industry projects) and technologies outside of the bioinformatics stack (e.g., core machine learning, general data science, big data platforms) suggests a potentially narrow focus. This might impact cultural fit in a broader data science role that requires diverse problem-solving approaches and collaboration across different technical domains.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.