Computational Biologist | $85/hr Remote | Mercor

Crossing Hurdles; United States; Remote; USD 89,544 - 117,096; Part time

Job summary

A prominent recruiting agency is seeking a Computational Biologist for a remote role with a pay range of $65 to $85 per hour. In this position, you will design benchmark problems and analyze biological datasets. Applicants must possess an advanced degree in a relevant field and experience with bioinformatics tools such as BLAST and samtools. This hourly contract offers flexible commitment between 10 to 40 hours per week, suitable for those with strong analytical skills in a dynamic environment.

Qualifications

• Advanced degree in computational biology, bioinformatics, genomics, or related field.
• Strong experience analyzing sequencing datasets.
• Proficiency with bioinformatics tools and formats.

Responsibilities

• Design biologically grounded benchmark problems.
• Identify, preprocess, and anonymize datasets.
• Validate dataset solutions using bioinformatics analysis.

Skills

Analyzing sequencing or omics datasets

Proficiency with bioinformatics tools

Skilled in Python, R, or bash

Understanding of biological experiment design

Education

Advanced degree (MS or PhD) in relevant field

Tools

BLAST

samtools

DESeq2

Job description

Computational Biologist | $85/hr Remote | Mercor

Join to apply for the Computational Biologist | $85/hr Remote | Mercor role at Crossing Hurdles. Be among the first 25 applicants.

This range is provided by Crossing Hurdles. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$65.00/hr - $85.00/hr

Organization: Mercor

Position: PhD-Level Computational Biologist — Design Data-Centric Benchmarks for AI Models

Referral Partner: Crossing Hurdles

Type: Hourly Contract

Compensation: $65–$85/hour

Location: Remote

Commitment: 10–40 hours/week

Role Responsibilities (Training support will be provided)

• Design biologically grounded benchmark problems with correct answers and multiple plausible distractors.
• Identify, preprocess, and anonymize datasets from repositories such as GEO, SRA, and NCBI.
• Subsample and structure datasets to prevent metadata inference.
• Validate dataset solutions using bioinformatics analysis pipelines and visualizations.
• Work within technical limits including dataset size and time constraints for each task.

Requirements

• Advanced degree (MS or PhD) in computational biology, bioinformatics, genomics, or a related field.
• Strong experience analyzing sequencing or omics datasets (e.g., RNA‑seq, WGS, mass spec).
• Proficiency with bioinformatics tools (e.g., BLAST, samtools, DESeq2) and formats (FASTA/FASTQ/BAM).
• Skilled in Python, R, or bash; experience working with Jupyter notebooks.
• Understanding of biological experiment design and common data artifacts such as batch effects.

Application Process (Takes 20 min)

• Upload resume
• AI interview based on your resume (15 min)

Seniority level

Associate

Employment type

Contract

Job function

Research, Education, and Science

Industries

Higher Education, Data Infrastructure and Analytics, and Research Services

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