Computational Biology & Bioinformatics Expert (PhD)

$45–90/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Sciences

Evaluate and improve computational biology workflows used to benchmark and train AI systems. The work covers genomic, transcriptomic, proteomic, variant analysis and other biological data pipelines, with an emphasis on accuracy and reproducibility.

The work

Day to day, you may design, run or critique bioinformatics workflows; inspect pipeline parameters and tool configurations; assess statistical choices; and analyze datasets involving NGS, RNA-seq, variant calling or protein structure. Deliverables can include benchmark evaluations, methodological recommendations and clear documentation of findings and best practices.

What the screen will examine

Expect detailed follow-up on biological datasets you have analyzed, the decisions you made and how you verified the result. The platform is likely to test practical use of Python and/or R, tools such as BLAST, samtools, GATK, Bioconductor or Biopython, workflow systems such as Nextflow or Snakemake, and Linux command-line environments. It may also present an AI-generated workflow or scientific claim and ask you to identify biological, statistical and reproducibility problems.

Background and communication

The role requires a PhD in bioinformatics, computational biology, genomics or a closely related field, or equivalent industry/research experience. Professional written and spoken English (C1 or higher) is required. Experience with AI/ML-assisted biology, peer-reviewed publications, patents, open-source bioinformatics contributions, single-cell analysis, structural biology, proteomics, drug discovery, prediction or retrosynthesis is preferred rather than required.

Logistics

This is a remote, worldwide contractor role. The listing does not specify typical weekly hours, project duration or whether all work is asynchronous, so candidates should confirm scheduling and meeting expectations during onboarding.

Pay band: $45–90/hr

What they look for

computational chemistry
molecular simulations
python
gaussian
gromacs
lammps
amber
orca
psi4
nwchem
rdkit
openbabel
cheminformatics
electronic structure methods
scientific software configuration
molecular dynamics
drug discovery
ai/ml-assisted chemistry workflows
quantitative analysis
analytical reasoning
scientific programming
written communication
verbal communication
documentation
problem-solving

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your claimed seniority is supported by a specific biological question, identifiable dataset, personal decisions and defensible outcome.
A strong answer: Choose one project and state the biological objective, data modality, approximate scale, your exact ownership, principal tools, validation strategy and resulting conclusion. Clearly distinguish your work from contributions made by collaborators.
Where people lose it: Candidates lose points by summarizing a laboratory or publication without identifying which pipeline decisions and interpretations were personally theirs.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.