Bioinformatics Analyst III - AI-Driven Omics & Targets

Planet Pharma; Illinois; On-site; USD 100,000 - 120,000; Full time

Job summary

Planet Pharma is looking for a candidate to work closely with stakeholders in the Quantitative Insights Lab (QuIL) organization. The successful applicant will support cross-project data science efforts, including in silico perturbation analysis and toxicogenomics, contributing to predictive frameworks for drug development.

The role demands a high degree of proficiency in programming languages like R and Python, with a strong emphasis on managing and analyzing complex datasets in a high-performance computing setting.

Qualifications

• MS degree with 5+ years experience or PhD with 0+ years in a quantitative field.
• Proficiency in R or Python, and standard statistics/ML libraries.
• Experience in HPC or cloud environments for parallel computing.

Responsibilities

• Support perturbation analyses to rank promising drug targets.
• Contribute to combination signature estimation approaches.
• Ingest, clean, and preprocess multi-modal datasets.

Skills

R programming

Python programming

Bioinformatics

Computational Biology

Machine Learning

Statistical analysis

Education

MS degree in a quantitative field

PhD in a quantitative field

Tools

Statistical libraries in R/Python

Parallel computing environments

Job description

Planet Pharma is looking for a candidate to work closely with stakeholders in the Quantitative Insights Lab (QuIL) organization. The successful applicant will support cross-project data science efforts, including in silico perturbation analysis and toxicogenomics, contributing to predictive frameworks for drug development.

The role demands a high degree of proficiency in programming languages like R and Python, with a strong emphasis on managing and analyzing complex datasets in a high-performance computing setting.