Talantix.io
Bio•17.02.26
AI SCORE 8.5

Remote Computational Biologist - AI-Driven Biotech

$120K–$150K/year
RemoteBiotech
Python•R•Bioinformatics•Computational Biology•Data Analysis•Cloud Labs•AI/ML

About the Role

We are seeking a Remote Computational Biologist to join our innovative team at Bio, a decentralized science protocol that empowers AI-driven biotech research. This role is pivotal in bridging our advanced AI systems with real-world applications, ensuring the accuracy and reliability of our outputs before they reach the lab. As a computational biologist, you will play a crucial role in validating AI predictions and transforming them into actionable protocols.

What You'll Do

  • Validate AI outputs using computational methods, including simulations and structural analysis.
  • Translate AI predictions into executable protocols for cloud labs such as Emerald and Strateos.
  • Build and maintain validation pipelines that catch errors before they waste lab resources.
  • Manage the transition between digital predictions and physical experiments.
  • Transform JSON outputs from our AI agents into experimental protocols and validation workflows.

Requirements

  • PhD in Computational Biology, Bioinformatics, or a related field preferred, or equivalent exceptional experience.
  • Strong proficiency in Python and/or R for data analysis and pipeline development.
  • Experience with computational validation methods, including molecular simulations and sequence analysis.
  • Ability to critically evaluate biological predictions and identify potential issues.
  • Comfort working at the interface of software and biology.

Nice to Have

  • Experience with cloud lab platforms (Emerald, Strateos, or similar).
  • Background working with CROs or translating computational work to wet-lab execution.
  • Familiarity with AI/ML systems and their failure modes.
  • Experience red-teaming or adversarially testing scientific predictions.

What We Offer

  • Work at the cutting edge of AI-driven biology.
  • Fully remote - work from anywhere in the world.
  • Join a small team where your expertise directly shapes our science.
  • Competitive compensation with a token/equity component.
  • Flexible work hours and a supportive work environment.
Why This Job8.5 of 10

This Remote Computational Biologist role at Bio offers a unique opportunity to work at the intersection of AI and biology, with competitive compensation and the flexibility of remote work.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and R for data manipulation and analysis, with a strong understanding of bioinformatics libraries such as Biopython and Bioconductor to effectively analyze large biological datasets.

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Self-motivated and disciplined to thrive in a remote work environment, demonstrating the ability to manage time effectively while collaborating asynchronously with cross-functional teams.

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Extensive experience in applying AI/ML techniques to biological data, with a proven track record of validating AI models and translating complex algorithmic outputs into practical biological insights.

Learning Resources

→Python for Data Science Handbookguide
→Bioinformatics with Python Cookbookbook
→Introduction to Machine Learning for Bioinformaticscourse

Career Path

Remote Computational Biologist - AI-Driven Biotech(Now)→Lead Computational Biologist(1-2 years)→Director of Computational Biology(3-5 years)

Market Overview

Market Size 2024
$8.5B
Annual Growth
12.5%
AI Adoption in Biotech
45%
Investment in AI-Driven Biotech
+150%
Labour Demand for Computational Biology
+20%
Avg Salary for Senior Computational Biologists
$130K

Skills & Requirements

Required
PythonRBioinformatics
Growing in Demand
Deep LearningGenomic Data AnalysisCloud Computing
Declining
MATLABSAS

Domain Trends

Integration of AI in Drug Discovery
AI-driven algorithms are being increasingly utilized in drug discovery processes, with a projected increase of 30% in adoption rates by 2025.
Rise of Cloud-Based Bioinformatics Solutions
Cloud labs and bioinformatics platforms are growing, with a 40% increase in usage among researchers, allowing more scalable and collaborative research.
Emphasis on Real-Time Data Analysis
There is a growing trend towards real-time data analysis in computational biology, with 60% of biotech firms prioritizing this capability for faster decision-making.

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