Federated ML Scientist: Benchmarking & Validation

BioSpace; Indianapolis (IN); On-site; USD 151,500 - 244,200; Full time

Benefits offered by this job

Company-sponsored 401(k)

Pension

Flexible benefits

Well-being benefits

Job summary

A leading biotech company is hiring for an AI-powered drug discovery role located in Indianapolis. The position focuses on creating benchmarks and validation frameworks to enhance drug discovery using advanced machine learning techniques. Ideal candidates will hold a PhD in a relevant field, have experience within the biopharmaceutical sector, and a strong foundation in data engineering and statistical methods. The role offers a competitive salary range with comprehensive benefits and includes relocation assistance.

Qualifications

• PhD in a relevant discipline from an accredited institution.
• 2+ years of experience in the biopharmaceutical industry.
• Experience with federated learning platforms.

Responsibilities

• Design privacy-preserving protocols for distributed partner datasets.
• Create benchmark suites for small molecules and therapeutics.
• Collaborate with engineering teams to integrate validation frameworks.

Skills

ML model validation

Experimental design

Data engineering

Statistical validation

Containerization

Cloud computing

Education

PhD in Computational Biology, Bioinformatics, Cheminformatics, Computer Science, Statistics

Tools

Docker

Kubernetes

Airflow

Kubeflow

Prefect

Job description

A leading biotech company is hiring for an AI-powered drug discovery role located in Indianapolis. The position focuses on creating benchmarks and validation frameworks to enhance drug discovery using advanced machine learning techniques. Ideal candidates will hold a PhD in a relevant field, have experience within the biopharmaceutical sector, and a strong foundation in data engineering and statistical methods. The role offers a competitive salary range with comprehensive benefits and includes relocation assistance.