Lead Bioinformatics Scientist

Partner's Healthcare; Boston (MA); Hybrid; USD 94,000 - 137,000; Full time

Job summary

Mass General Brigham seeks a leader to drive complex bioinformatics projects and oversee data analysis workflows at The General Hospital Corporation. You will design algorithms, mentor analysts, and collaborate across teams to advance research and patient care.

Responsibilities include pipeline design, statistical analysis, and cross-disciplinary collaboration with external partners, while shaping bioinformatics strategy and research plans for large-scale initiatives.

Qualifications

• Bachelor's Degree in Bioinformatics or related field required; Master's preferred.
• Experience 5-7 years in bioinformatics or related field.
• Ability to program in Perl/Python; working knowledge of databases and SDLC.

Responsibilities

• Design and apply novel computational methods and bioinformatics algorithms for data analysis of genetic, clinical, and image data.
• Collaborate with teams and external partners on large-scale projects.
• Contribute to development of bioinformatics strategies and research plans.
• Mentor and train junior analysts or team members.
• Design, maintain, and troubleshoot data processing pipelines and data architecture.
• Provide technical expertise and support for bioinformatics tools and software.
• Perform advanced statistical analyses and data integration across datasets.

Skills

Perl

Python

SQL

NoSQL/DBMS

SDLC

Experimental design

Interpersonal skills

Problem solving

Education

Bachelor's Degree Bioinformatics

Bachelor's Degree Related Field

Master's Degree Bioinformatics

Tools

MySQL

SQL Server

PostgreSQL

MongoDB

Apache CouchDB

Job description

Mass General Brigham seeks a leader to drive complex bioinformatics projects and oversee data analysis workflows at The General Hospital Corporation. You will design algorithms, mentor analysts, and collaborate across teams to advance research and patient care.

Responsibilities include pipeline design, statistical analysis, and cross-disciplinary collaboration with external partners, while shaping bioinformatics strategy and research plans for large-scale initiatives.