ML Engineer for Drug Discovery & R&D Ops

Elanco Tiergesundheit AG; Indianapolis (IN); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Relocation packages

Shutdowns in US

Parental leave 8 weeks

Employee Resource Groups

Annual bonus offering

Flexible work arrangements

401K matching up to 6%

Job summary

Elanco seeks an ML Engineer– Drug Discovery & R&D Operations to accelerate its portfolio by turning proprietary data into predictive models. You will partner with discovery scientists to build ML and computer‑vision models on molecular, in vitro, ADMET, and imaging data for target identification and biomarker prediction.

You will design and deploy models across multi‑modal data, drive data collection and labeling standards, and ensure reproducibility and governance.

Qualifications

• PhD or Master with substantial hands-on ML/CV experience.
• 7+ years of industry experience building and deploying ML/CV models for biomedical domains.
• Strong Python and ML libs, statistics, and cross-functional collaboration.

Responsibilities

• Lead ML/CV work for R&D programs to turn data into modeling problems.
• Design, build and validate ML/CV models (CNNs, transformers, GNNs) on multi-modal data.
• Operate models in R&D workflows with Databricks and governance standards.
• Mentor junior scientists and communicate results to diverse stakeholders.

Skills

Python

ML Libraries

OpenCV

PyTorch

TensorFlow

scikit-learn

Data Analysis

Cross-functional teamwork

Education

PhD in quantitative field

Master's with ML/CV experience

Tools

Databricks

MLOps tools

Job description

Elanco seeks an ML Engineer– Drug Discovery & R&D Operations to accelerate its portfolio by turning proprietary data into predictive models. You will partner with discovery scientists to build ML and computer‑vision models on molecular, in vitro, ADMET, and imaging data for target identification and biomarker prediction.

You will design and deploy models across multi‑modal data, drive data collection and labeling standards, and ensure reproducibility and governance.