Bioinformatics Scientist (Python /R/bioinformatics tools) | $85/hr Remote

Crossing Hurdles; India; On-site; INR 82,656 - 117,096; Part time

Job summary

A leading bioinformatics consultancy is seeking a PhD-Level Bioinformatics Expert to tackle complex data analysis problems. You will work with large datasets across genomics and related domains, ensuring that workflows are reproducible and scientifically sound. The ideal candidate holds a PhD or Master's in Bioinformatics, has hands-on experience with analytical tools, and is proficient in Python or R. This is a remote position with an hourly contract ranging from $60 to $85.

Qualifications

• PhD or Master’s degree in Bioinformatics, Computational Biology, or related field required.
• Hands-on experience in RNA-seq analysis, variant calling, or similar required.
• Proficiency in Python and/or R for bioinformatics pipelines.

Responsibilities

• Solve complex bioinformatics data analysis problems independently.
• Analyze large biological datasets across genomics and related domains.
• Ensure workflows are well-documented, reproducible, and scientifically rigorous.

Skills

Bioinformatics analysis

Python

R

Jupyter notebooks

Problem-solving

Education

PhD or Master’s degree in Bioinformatics

Tools

samtools

Job description

Overview

Position: PhD-Level Bioinformatics Experts

Type: Hourly contract

Compensation: $60–$85 per hour

Location: Remote

Commitment: Approximately 4 weeks (rolling task assignments)

Role Responsibilities

• Solve complex bioinformatics data analysis problems independently
• Analyze large biological datasets across genomics, transcriptomics, and related domains
• Develop complete analytical workflows using reproducible Jupyter notebooks
• Apply computational reasoning to biological problems in areas such as virology, genomics, and transcriptomics
• Ensure workflows are well-documented, reproducible, and scientifically rigorous

Requirements

• PhD or Master’s degree in Bioinformatics, Computational Biology, Genomics, or related field
• Hands-on experience in at least two areas such as RNA-seq analysis, variant calling, metagenomics, epigenomics (ChIP-seq/methylation), single-cell analysis, or population genetics
• Proficiency in Python and/or R for bioinformatics pipelines
• Experience producing well-documented and reproducible Jupyter notebooks
• Familiarity with command-line bioinformatics tools (e.g., samtools)
• Strong independent problem-solving ability for ambiguous analytical tasks