Postdoc Bioinformatics Scientist—Multi-Omics, AI, Genetics

Harvard University; Boston (MA); On-site; USD 65,000 - 75,000; Full time

Job summary

Harvard Medical School’s Perrimon lab seeks a highly motivated post‑doc trainee to design and implement bioinformatics pipelines for RNA-seq and multi-omics data, collaborating with DRSC/TRiP core and a multidisciplinary team.

You will contribute to data processing, algorithm development, and integration with databases, while documenting methods and supporting grant and manuscript preparation.

Qualifications

• Doctoral degree in bioinformatics or biology with omics experience.
• Strong programming, algorithms and statistics background.
• Experience with BIG DATA (NGS) and multi-omics datasets.
• Familiarity with genome alignment software such as Bowtie2/BWA/TopHat.
• Proficiency in Python and scripting languages; Unix knowledge.
• Excellent information management and collaboration skills.

Responsibilities

• Design and implement reusable bioinformatics pipelines for RNA-seq, scRNA-seq, genomics and proteomics data.
• Apply computational and AI/ML approaches to reveal biological insights.
• Develop custom databases, web portals and data pipelines for raw/processed data.
• Collaborate with investigators and teams to define scope and timelines.
• Document procedures, prepare summary reports and contribute to grants/manuscripts.

Skills

Bioinformatics

Programming

Statistics

Python

Linux/Unix

Collaboration

Education

Doctoral degree

Tools

Bowtie2

BWA

TopHat

Job description

Harvard Medical School’s Perrimon lab seeks a highly motivated post‑doc trainee to design and implement bioinformatics pipelines for RNA-seq and multi-omics data, collaborating with DRSC/TRiP core and a multidisciplinary team.

You will contribute to data processing, algorithm development, and integration with databases, while documenting methods and supporting grant and manuscript preparation.