$70-$180/hr biology and life sciences work, on your schedule
You review AI-drafted experimental designs, analyses, and claims the way you would a labmate's protocol, flagging the missing control and the conclusion the assay cannot support. Remote, a few hours a week, paid hourly.
Trusted by top research companies
Hi, we're Zac and Jack, the founders of Terac. We want to talk to you directly, because you are the most important part of what we're building.
Terac is a community of experts. People who have spent years getting good at something specific and hard. The world is about to need more of you, not less. As AI takes on more of the world's work, the bottleneck shifts to the people who actually know what they're talking about.
Expert labor is the rarest resource in the world right now, and it is shockingly hard to find. The companies that need a biologist's eye on a missing control spend weeks chasing people, paying placement fees, and settling for whoever is available. Meanwhile thousands of qualified people are sitting with knowledge that no one ever asks for.
That gap is what we're here to close. Every project that lands on Terac is routed to the people who actually know the answer, on their schedule, paid fairly, and only when the work is verified. No middleman taking a cut of your time. No vague gigs. No chasing checks.
We care about every single person in this community. If you join Terac, you're not a row in a database to us. We read the feedback. We answer the emails. We will fight for you when a customer is being unreasonable, and we will be honest with you when something on our side is broken. The quality of this panel is our entire company, and we owe you a serious bar.
If you've made it this far, here is what we're asking: claim your profile. Put your expertise on the record. Let the world's most ambitious teams come find you for the work only you can do.
Biology & Life Sciences questions
Still curious? Write to us at support@terac.com.
Yes. Computational backgrounds are actively sought for RNA-seq differential expression pipelines, single-cell analysis (Seurat, Scanpy), variant calling, and omics modeling. If you can judge whether a DESeq2 or edgeR analysis ran correctly and whether the biological interpretation holds, that is exactly the judgment the work needs.
By sub-domain: reviewing a model's experimental protocols for controls and assay validity, annotating its mechanistic claims in signaling or pharmacology, writing worked examples through a Western blot or flow result, and scoring its study summaries against the source paper. You do no lab work or original research; you evaluate and teach from existing knowledge.
Yes, regulatory and compliance expertise is a distinct, high-value category. Tasks include reviewing a model's IND or BLA sections for correct FDA 21 CFR Part 11, ICH E6(R2) GCP, or GLP study design. If you can spot where it mischaracterizes nonclinical safety expectations or GMP documentation, that judgment applies directly.
Tasks involving select agents under 42 CFR Part 73 or dual-use research of concern are flagged separately and routed only to reviewers with the right background and standing. General participation needs no biosafety authorization, and you will not see that content unless you opt into a restricted category and your credentials are verified for it.
Industry experience is treated as equivalent, and in some categories preferred. Translational biology, process development, CMC regulatory work, biomarker strategy, and ADMET are areas where industry scientists have daily exposure academia does not replicate. Screening assesses your ability to critique content at a professional level, not where you earned it.
Why your expertise matters
Today's life-sciences AI misattributes a mechanism of action, applies the wrong model to gene expression data, and cites a clinical study that does not exist. Catching that takes domain fluency, not a textbook. Your corrections teach these tools to tell a valid experimental inference from a confounded one, the judgment that makes expert review irreplaceable.
How pay works
Pay within the $70-$180 band reflects sub-domain depth. A molecular biologist with CRISPR screening, an FDA 21 CFR Part 11 expert, or someone who critiques omics statistics places above a generalist. Work is fully remote, tracked hourly or by verified deliverable, paid only on confirmed completion.
What the work looks like
A sample of the biology and life sciences work you would pick up. Every project is scoped, remote, and paid on verified completion.
- Review a model's CRISPR knock-in protocol and find where off-target effects are uncontrolled or the guide RNA design logic is flawed.
- Flag mischaracterized endpoints, stratification criteria, or adverse-event standards in a model's Phase II trial summary.
- Annotate a model's gene expression write-ups, marking misapplied differential statistics or biological-versus-technical replicate errors.
- Write a worked example of mechanistic reasoning, interpreting a Western blot in the context of downstream pathway crosstalk.
- Correct a model's regulatory biology IND section where FDA nonclinical safety guidance or GLP language is misapplied.
- Score a batch of model answers to ecology questions, telling valid population genetics inference from invalid conclusions.
Specialties we match
Biology & Life Sciences projects span a wide range of focus areas. Tell us where you go deep and we route the work that fits.
- CRISPR/Cas9 and gene editing
- Flow cytometry and cell sorting
- Next-generation sequencing (NGS) analysis
- Protein structure and function
- Pharmacokinetics and ADMET modeling
- Regulatory biology (FDA, EMA, GLP/GMP)
- Bioinformatics and R/Python pipelines
- Cell culture and in vitro assay design
- Clinical trial biology and biomarkers
- Ecology and population dynamics
- Synthetic biology and metabolic engineering
- Immunology and antibody development
