C10 Labs

AI BioHub Fellow

C10 Labs

part-time

Posted on:

Location Type: Hybrid

Location: Cambridge • Massachusetts • United States

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Tech Stack

AWSAzureCloudJavaPythonPyTorchScikit-LearnTensorflow

About the role

  • Advise founders developing AI-enabled biotech and therapeutics startups
  • Help evaluate and shape technical and scientific strategies for early-stage companies
  • Provide guidance on AI model development and deployment in biological contexts
  • Support teams working on areas such as drug discovery, protein modeling, genomics, and experimental design
  • Collaborate with C10 venture partners and LabCentral leadership to identify promising scientific and commercial opportunities
  • Share expertise through technical sessions, workshops, and office hours with cohort founders
  • Help assess technical feasibility, scientific risk, and data strategy in AI-driven life sciences companies
  • Stay connected to the broader AI, biotech, and academic research communities

Requirements

  • Product Development Experience: full product development and bringing cutting edge AI products, platforms, and services to market
  • Technical Development: Expertise in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and others. Strong programming full stack skills in languages such as Python, R, or Java, with experience in implementing machine learning models and algorithms.
  • Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI solutions at scale.
  • Familiarity with AI model optimization, including hyperparameter tuning, model evaluation, and performance benchmarking.
  • Major plus will be experience with assessing tech readiness in AI projects using commonly used frameworks like TRL, AI Maturity Models, Model Validation Frameworks, SAFE AI, IEEE, IRL.
  • Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders.
Benefits
  • Expertise You May Have****AI & Machine Learning
  • - Experience with ML frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn
  • - Experience building or deploying deep learning models for biological data
  • - Familiarity with generative AI, foundation models, or graph-based models in biology.
  • Life Sciences & Bioinformatics
  • - Background in computational biology, genomics, proteomics, or structural biology
  • - Experience working with multi-omics datasets or biological data pipelines
  • - Familiarity with drug discovery workflows, target identification, or molecular modeling
  • - Experience integrating AI with wet-lab experimentation or lab automation
  • Technical & Product Development
  • - Experience translating scientific research into products or platforms
  • - Knowledge of cloud infrastructure and ML deployment
  • - Familiarity with data engineering and scalable biological data pipeline
  • Communication & Collaboration
  • - Ability to explain complex technical or scientific concepts to founders and investors
  • - Experience mentoring researchers, engineers, or early-stage teams
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI model developmentAI model deploymentdrug discoveryprotein modelinggenomicsexperimental designproduct developmentAI/ML frameworksprogrammingmachine learning models
Soft Skills
communication skillscollaborationtechnical guidanceworkshop facilitationstrategic evaluation