Senior AI/ML Engineer - R&D Biotech & Imaging

Augmented; Indianapolis (IN); On-site; USD 180,000 - 240,000; Full time

Job summary

Augmented seeks an AI/ML Engineer to accelerate its R&D pipeline in animal health. You will turn proprietary scientific data into predictive models informing discovery and development decisions across targets, molecular optimization, ADMET and imaging data.

You will design, train and validate advanced models (CNNs, transformers, graph nets, generative methods) across multimodal data, and deploy on Databricks while integrating into scientists’ tools, with emphasis on reproducibility and

Qualifications

• Education: PhD in a quantitative discipline such as Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics or Computational Chemistry. A Master's degree with significant hands-on ML/CV experience will also be considered.
• Experience: 7+ years in industry building and deploying ML and computer vision models for scientific applications in biomedical, pharmaceutical or adjacent fields. You'll need demonstrated impact and a track record of working closely with wet-lab or clinical teams.
• Skills: Strong Python, plus fluency with modern ML/CV libraries such as PyTorch, TensorFlow, scikit-learn and OpenCV. A solid grounding in statistics and experimental design. Proven ability to collaborate and communicate across matrixed, cross-functional teams.

Responsibilities

• Own the ML and computer vision work on priority R&D programs. You'll work with scientists to turn questions about targets, molecular optimization, in vitro results, ADMET and biomarkers into well-defined modeling problems with measurable success criteria.
• Design, train and validate advanced models, including CNNs, transformers, graph neural networks and generative methods. You'll work across multi-modal data (molecular, assay, imaging and behavioral) to produce reliable predictions and classifications.
• Shape how data is collected and labeled. You'll work with lab teams to define capture protocols, annotation standards and quality checks. You'll also assess synthetic data and augmentation techniques to strengthen sparse datasets while keeping bias and risk under control.
• Put models to work in day-to-day R&D. You'll build and deploy on Databricks, integrate models into the tools scientists already use, and help set standards for reproducibility, documentation, monitoring and model governance.
• Act as a technical leader. You'll mentor junior scientists, drive cross-functional modeling initiatives and explain complex technical results clearly to varied audiences.

Skills

Python programming

Statistical design

Collaborative skills

Education

PhD in quantitative discipline

Master's with ML/CV

Tools

PyTorch

TensorFlow

scikit-learn

OpenCV

Job description

Augmented seeks an AI/ML Engineer to accelerate its R&D pipeline in animal health. You will turn proprietary scientific data into predictive models informing discovery and development decisions across targets, molecular optimization, ADMET and imaging data.

You will design, train and validate advanced models (CNNs, transformers, graph nets, generative methods) across multimodal data, and deploy on Databricks while integrating into scientists’ tools, with emphasis on reproducibility and