Bioinformatician II

Mass General Brigham • Boston, MA

2d • Onsite

About The Position

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Responsible for combining research in biology, medicine, and health-related studies with information technology in order to collect and interpret data covering a range of fields, such as genetics or pharmaceutics. This role creates mathematical models, develop dynamic simulations, and perform pattern analyses of biological systems.

Requirements

• Master's Degree Computational Biology preferred or Bachelor's Degree Computational Biology required
• Can this role accept experience in lieu of a degree? Yes
• Computational Sciences Experience 3-5 years required
• Demonstrated experience in infrastructure, programming languages and computational sciences.
• Demonstrated ability working with open-source bioinformatics software.
• Possess strong analytical skills including critical thinking, data modeling, problem solving and troubleshooting.
• Strong organizational and interpersonal skills.
• Ability to effectively communicate, both orally and in writing, to all levels of staff.
• Excellent time management skills.

Responsibilities

• Independently design and execute bioinformatics analyses and research projects on small-mid scale projects.
• Develop and optimize data analysis pipelines and workflows.
• Collaborate with scientists and researchers to define analysis goals and interpret results.
• Provide technical expertise and support for bioinformatics tools and software.
• Train junior scientists and provide technical guidance.
• Analyze data quality and integrity of data output from existing algorithms as part of the complex, multi-step specimen tracking and reporting process, across multiple systems and web-based interfaces.
• Develop new and innovative tools to enhance quality assurance review and to improve assay and system performance.
• Design and apply novel computational methods/bioinformatics algorithm, machine learning models for building data models and tools using various software and statistical tools to aid in the analysis and interpretation of genetic data, clinical data, images (NGS Algorithm development, Machine Learning).
• Analyze large molecular datasets of tumor sequencing data to help critically review and analyze the results of specimen testing, working closely with faculty and staff to troubleshoot problems, recommend technology-based solutions, or determine computational strategies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level