Senior Bioinformatics Research

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

Position Overview

We are seeking a highly motivated post‑doc trainee to join Dr. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. The Perrimon lab is actively generating omics‑scale data sets and this position will involve working with other post‑doc trainees who are responsible for designing and generating such data, as well as collaborating with the DRSC/TRiP functional genomics core—a multidisciplinary team of biologists, software engineers, and bioinformaticians—to develop and leverage technological breakthroughs for exploring complex biological systems.

Principal Responsibilities

1. Design and implement reusable bioinformatics analysis pipelines for processing RNA‑seq, single‑cell RNA‑seq, genomics, and proteomics data; develop novel algorithms and integrated data‑visualization applications when existing software packages are not available or adequate.
2. Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi‑omics datasets such as genomics, transcriptomics, proteomics, metabolomics, and related data.
3. Help develop custom databases, web portals, and pipelines for managing raw and processed experimental data as well as reagent identification and design.
4. Collaborate closely with investigators and lab members on research projects, including defining the scope of collaboration, researching scientific topics, and implementing appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams.
5. Properly document the procedures used in computational analysis, provide summary reports of results, and contribute to grant and manuscript writing.

Salary and Benefits

This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post‑PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.

With this appointment, you are represented by the Harvard Academic Workers (HAW)–UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.

Basic Qualifications

• Doctoral degree in Bioinformatics or in biology with extensive experience analyzing omics data.
• Strong background in programming, algorithms, and statistics.
• Familiarity with programming techniques for analyzing large data sets and experience working with big data (e.g., NGS data at multi‑TB scale).
• Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired.
• Fluent in one programming language (Python, C, C++, or Java) and familiar with scripting languages (bash, Perl).
• Knowledge of Unix operating system, terminal, and bash is a plus.
• Experience using a compute cluster and excellent information‑management skills.

EEO/Non‑Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world and strive to ensure everyone at Harvard thrives. Harvard’s equal‑employment‑opportunity policy prohibits discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law.