Biology PhD Researcher - Genetics, Protein Engineering, and Biochemistry
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We're hiring biology PhDs to provide ongoing technical expertise in genetics, protein engineering, and biochemistry. This long-term research effort aims to evaluate complex biological data and map out emerging scientific trends. Your domain knowledge will directly support the evaluation of advanced computational biology models and literature reviews.
You will participate in remote tasks and occasional video interviews to evaluate technical biological concepts. Expect to review academic literature, analyze protein structures, or assess genetic data sets based on specific prompts. You will provide detailed written feedback and walk us through your analytical process during recorded sessions. The work flows on a recurring basis, allowing you to contribute flexibly as new scientific topics emerge.
We are looking for credentialed researchers holding a PhD in a core biological science. We welcome experts in Genetics, Protein Engineering, Biochemistry, and closely adjacent fields like Molecular Biology or Computational Biology. Ideal candidates have active experience working with complex datasets and analyzing recent scientific literature.
What You'll Do
- Review and analyze complex biological data sets or technical literature
- Provide detailed written feedback on emerging concepts in genetics and biochemistry
- Participate in occasional remote interviews to explain your analytical reasoning
- Evaluate computational models applied to protein engineering
Who Should Apply
- PhD in Biology, Genetics, Biochemistry, or a closely related field
- Strong background in analyzing technical scientific literature
- Comfortable providing detailed, independent technical assessments
- Active experience in academic research or applied life sciences
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Terac
View Company ProfileTerac is an elite, enterprise-grade AI-native market research and expert data orchestration platform engineered to operate as the definitive, high-velocity infrastructure layer connecting frontier AI models and enterprise product teams with on-demand human expertise. Operating as a mission-critical "intelligence infrastructure layer" for the modern data economy, the company eliminates the severe operational friction of traditional qualitative research—which frequently suffers from slow participant sourcing, manual scheduling bottlenecks, and multi-week analysis cycles—by deploying automated, voice-based AI agents capable of conducting natural, personalized interviews with hundreds of participants simultaneously. Moving far beyond rigid legacy survey tools, Terac serves a dual purpose: it acts as a scalable consumer insights engine for product teams and a highly vetted marketplace for the human data economy, allowing frontier AI labs and research institutions to instantly tap into specialized, high-stakes human judgment for model evaluation and RLHF. Under the hood, their sophisticated proprietary validation infrastructure—backed by top-tier venture capital—natively handles automated participant recruitment, strict quality-control vetting, smart routing, multi-region payouts, and immediate programmatic synthesis of unstructured conversation into structured, actionable data graphs. What sets Terac apart is its uncompromising dedication to shifting how humans and AI collaborate at scale; by bridging the gap between performance-intensive, data-hungry enterprise workflows and accessible, flexible expert panels, the firm enables global technology organizations to radically accelerate their product-market loops, eliminate data engineering bottlenecks, and build an unassailable foundation for continuous model and product alignment.
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