Senior Bioinformatics Scientist - Multi-Omics & AI

Harvard University; Harvard (IL); On-site; USD 55,000 - 75,000; Full time

Job summary

Harvard University is looking for a highly motivated post-doc trainee to join Dr. Norbert Perrimon’s lab in the Program of Genetics at Harvard Medical School. This role involves constructing bioinformatics analysis pipelines and collaborating with a multidisciplinary team on advanced omics data projects.

The ideal candidate has a Doctoral degree in Bioinformatics or Biology, strong programming skills, and experience with genome alignment software. A commitment to equal opportunity and a collaborative environment is essential.

Qualifications

• Doctoral degree in Bioinformatics or in biology with extensive experience analyzing omics data.
• Strong background in programming, algorithms, and statistics.
• Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired.
• Fluent in one programming language (Python, C, C++, or Java).
• Knowledge of Unix operating system and terminal is a plus.

Responsibilities

• Design and implement bioinformatics analysis pipelines for multi-omics data.
• Apply AI/ML approaches to analyze datasets and support functional discovery.
• Develop custom databases and web portals for managing experimental data.
• Collaborate with investigators on research projects and bioinformatics solutions.
• Document procedures in computational analysis and contribute to grant writing.

Skills

Bioinformatics

Programming

Statistics

Data analysis

AI/ML approaches

Linux

Genomics

Education

Doctoral degree in Bioinformatics or Biology

Tools

bowtie2

bwa

tophat

Python

C

C++

Java

bash

Perl

Job description

Harvard University is looking for a highly motivated post-doc trainee to join Dr. Norbert Perrimon’s lab in the Program of Genetics at Harvard Medical School. This role involves constructing bioinformatics analysis pipelines and collaborating with a multidisciplinary team on advanced omics data projects.

The ideal candidate has a Doctoral degree in Bioinformatics or Biology, strong programming skills, and experience with genome alignment software. A commitment to equal opportunity and a collaborative environment is essential.