Bioinformatics Scientist

$45–90/hr

rate as listed

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

Review and curate biological, chemical and clinical data used to train AI systems for medicinal chemistry tasks. The work includes dataset validation, scientific accuracy checks and written recommendations grounded in bioinformatics and drug discovery practice.

The work

You will analyze complex medicinal chemistry datasets, curate and annotate data for drug discovery and molecular analysis, and synthesize evidence from biological, chemical and clinical sources. Day-to-day assignments may include checking dataset quality, interpreting experimental results, assessing structure-activity relationships and reviewing whether AI-generated conclusions are scientifically accurate, relevant and reliable.

What the platform screens for

The screening is likely to test whether you can explain specific research contributions, defend your interpretation of omics or cheminformatics data under follow-up and identify errors in model-generated scientific content. Strong candidates can distinguish unsupported claims from plausible hypotheses, connect drug design decisions to evidence and provide precise written recommendations rather than broad criticism.

Preferred background

An MSc, PhD or another advanced degree in Bioinformatics, Computational Biology, Medicinal Chemistry or a related discipline is preferred. Preferred qualifications also include experience with large-scale omics or cheminformatics datasets, research spanning biology, chemistry and data science, and familiarity with commonly used tools, databases and programming languages such as Python, R, RDKit and KNIME. Prior AI experience is not required.

Logistics

This is a remote contractor role. The listing does not specify whether work is fully asynchronous or state typical weekly hours, so candidates should be prepared to give concrete availability and clarify any scheduling expectations during screening. Pay band: $45–90/hr

What they look for

medicinal chemistry
Bioinformatics
WetLab

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 you can substantiate interdisciplinary experience with a defined scientific question, your own contribution, the data used and a defensible outcome.
A strong answer: Describe one project with its biological or medicinal chemistry objective, dataset, analytical methods, your personal responsibilities and the resulting finding or decision. Separate your contribution from the work of the wider team.
Where people lose it: Candidates lose points by summarizing a lab or publication without identifying what they personally analyzed, implemented or concluded.

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