We are excited to be expanding our scientific Bioinformatics group in our Boston and Cambridge offices. We are looking for a Bioinformatics engineer to join our Bioinformatics Engineering Group.

Our Bioinformatics Engineering Group focuses on scientific advances in small molecules, oligonucleotides and other emerging technologies and drug discovery platforms across our focus areas.

We work on a broad pipeline of next-generation medicines focused principally on several oncology areas. These are being targeted through immunotherapy, the genetic drivers of cancer and resistance, DNA damage repair, and antibody drug conjugates, underpinned by personalized healthcare and biomarker technologies.

Responsibilities:
Manage, analyze, and deliver customer sequencing data.

Develop, test, and support data analysis tools and pipelines.

Ensure proper movement and automation of data from sequencer to data storage unit.

Validate the quality of the datasets using various tools to assess the correctness of the results.

Troubleshoot data quality issues by collaborating with Lab and other personnel.

Assist with developing requirements for internal software development.

Build and maintain a high level of experience with the team’s software and IT technologies.

Work collaboratively with scientists and outside collaborators to cultivate, process, and analyze genomic information.

Develop and maintain an in-depth understanding of the scientific and technological domains supported by the NGS Informatics team.

Design and apply innovative computational/statistical algorithms and visualizations to: Generate actionable biological insight from genomic data.

Build and steer further development of small prototype tools for bench scientists to access and visualize genomic data.

Finally, you will collaborate with industry and academia, and exploit external resources, to find the most effective solutions to problems.

Requirements:
Python programming skills

SQL/Database management expertise.

Experience running NGS pipelines on HPC.

Qualifications & Education:
Ph.D. or Master’s degree with a focus on computational biology, bioinformatics, computer science or related fields, or equivalent experience preferred.

Preferred Experience:
A publication track record.

Networked within external bioinformatics and NGS communities.

An understanding of the contribution of bioinformatics to drug discovery.

Efective contributing to collaborative projects involving cross-disciplinary and global teams.

Awareness of graph modeling, machine learning, Bayesian analytics or other non-traditional approaches to model biological data.