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Infographic showing various Nextflow job openings in Indiana as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, 2% Temporary, and 2% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.

Advisor - Agent Research

Indianapolis, IN • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Responsibilities:

  • Partner with scientists to build autonomous agents for molecule discovery tasks.

  • Design and build reinforcement learning (RL) environments with appropriate state/action/termination semantics for discovery.

  • Curate and engineer reward functions from noisy scientific signal.

  • Post-train domain models (SFT, DPO/GRPO/PPO, reward modeling, distillation) on chemistry and biology tasks.

  • Integrate learned policies with domain tools (RDKit, molecular graph ML, ELN/LIMS APIs, instrument drivers) to execute real DMTA tasks.

  • Build evaluation infrastructure (task suites, scoring harnesses, regression/experiment tracking e.g., MLflow).


Basic Qualifications:

  • PhD (or MS + 3 yrs / BS + 5 yrs) in ML, Bioinformatics, Cheminformatics, Computer Science, or related field with demonstrated wet-lab collaboration/hands-on experience.

  • ~1–2 years applying AI/ML in scientific disciplines (biology, chemistry, neuroscience, etc.).

  • Hands-on experience training/post-training AI models.


Preferred Qualifications/Skills:

  • Python; deep learning frameworks (PyTorch, TensorFlow, JAX, HuggingFace).

  • RL and post-training methods (PPO, GRPO, DPO, reward modeling, RLHF/RLAIF) and libs (TRL, verl, or equivalents).

  • Molecular representation learning/generative chemistry/protein-nucleic acid models.

  • Agentic AI systems experience (OpenAI/Anthropic Agent SDK, LangChain, Smol agents).

  • Cloud end-to-end system experience (APIs/frontends/agent platforms); GitHub portfolio a plus.

  • Cloud-native pipeline knowledge (AWS/Azure), Nextflow/Argo on Kubernetes.

  • Research contributions/publications; mentoring experience.


Benefits:

  • Eligible for company bonus; 401(k), pension, vacation; medical/dental/vision/prescription; flexible benefits; life insurance; time off/leave; well-being benefits (EAP/fitness/clubs).

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