Principal Bioinformatician, Translational Immunology (Remote)

Initial Therapeutics, Inc.; New Jersey; Hybrid; USD 146,410 - 192,164; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan with company match

Paid parental leave

Flexible spending and health savings accounts

Paid time off including vacation and holidays

Job summary

Legend Biotech in Somerset, NJ, is looking for a Principal Bioinformatician to join its Early Drug Development team. This role involves supporting translational strategies by leading complex computational analyses that integrate diverse datasets to enable informed decision-making.

The ideal candidate will have a PhD in Bioinformatics or related fields, with strong expertise in bioinformatics and significant experience in translational research, particularly in oncology. The position offers a hybrid work model with attractive benefits.

Qualifications

• PhD or MS in Bioinformatics, Computational Biology, or related sciences.
• 5+ years for PhD or 8+ years for MS experience.
• Strong background in translational oncology or immunology research.

Responsibilities

• Lead translational biomarker analyses integrating various assays.
• Support biomarker discovery and validation.
• Build reproducible bioinformatics pipelines for data analysis.

Skills

Bioinformatics

R and/or Python programming

Statistics

Linux/Unix computing

Translational research

Education

PhD in Bioinformatics or related field (5+ years)

MS in Bioinformatics or related field (8+ years)

Tools

Workflow management systems (Snakemake, Nextflow, etc.)

Cloud platforms (AWS, GCP, Azure)

Job description

Legend Biotech in Somerset, NJ, is looking for a Principal Bioinformatician to join its Early Drug Development team. This role involves supporting translational strategies by leading complex computational analyses that integrate diverse datasets to enable informed decision-making.

The ideal candidate will have a PhD in Bioinformatics or related fields, with strong expertise in bioinformatics and significant experience in translational research, particularly in oncology. The position offers a hybrid work model with attractive benefits.