Bioinformatics Scientist, NGS Data Analysis

Bioinformatics Scientist, NGS Data Analysis page is loaded Bioinformatics Scientist, NGS Data Analysislocations: Ipswich, MA United Statestime type: Full timeposted on: Posted Todayjob requisition id: 1882 About NEB New England Biolabs is a different kind of biotechnology company - we are a community of scientists, innovators and collaborators driven by a shared mission to advance science for the benefit of society. Founded in 1974 with a deep commitment to research excellence and environmental stewardship, NEB has become a global leader in the discovery and production of enzymes for molecular biology applications. Our reagents are trusted by researchers worldwide for their quality and reliability and have played a critical role in breakthroughs across genomics, proteomics, diagnostics and academic research. With a corporate culture rooted in passion, humility and authenticity, we offer a dynamic and inclusive workplace where creativity thrives, voices are heard, and personal growth is celebrated. Whether you are interested in pursuing a research career or supporting our mission through other roles, joining NEB means contributing to meaningful scientific progress in a collaborative, campus-like environment that values both innovation and integrity. The role We are looking for a talented Ph.D. level Bioinformatics Scientist specialized in NGS data analysis, with a deep expertise in single-cell technologies and multiomics approaches. This scientist will play a key role in developing and implementing computational pipelines and tools for analyzing complex NGS datasets.As a member of our Research Bioinformatics team, you will work at the intersection of computational biology, machine learning, and biotechnology to leverage innovative algorithms and analytical methods to support collaborative research initiatives and drive scientific discoveries and biotech innovations. How you'll contribute: Develop Computational Pipelines & Tools for Single-Cell and Spatial Transcriptomics Analysis: Build, optimize, and deploy scalable and reproducible pipelines for the analysis of single-cell NGS datasets, including scRNA-seq, spatial transcriptomics, and single-cell methylation sequencing, ensuring scalability, high-quality results and novel biological insights Establish Analytical Capabilities for Multiomics Integration: Develop and deploy tools for the integration and analysis of diverse omics data types-such as genomics, transcriptomics, epigenomics (including DNA/RNA modifications, chromatin accessibility, and 3D genome architecture)-to support a holistic understanding of complex biological systems and drive research hypothesis generation. Leverage Machine Learning for NGS Data Interpretation: Apply and develop state-of-the-art machine learning algorithms to enhance data interpretation, increase analytical throughput, and uncover novel biological patterns in large-scale NGS datasets. Collaborate Cross-Functionally to Support NGS-Based Research Projects: Work closely with wet-lab scientists, project leads, and other computational team members to analyze and interpret experimental data, provide expert bioinformatics support, and contribute to research planning and strategy. Publication & Thought Leadership: Contribute to the publication of results in peer-reviewed journals and conferences. Present findings and methodologies to both internal and external stakeholders. Required Qualifications and Experience: Education Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field.Technical Expertise Proven experience in NGS data analysis, Experience in single-cell sequencing technologies (e.g., scRNA-seq, single-cell methylation sequencing) and data analysis is highly desired. Strong background in computational pipeline development using languages such as Python, R, or similar. Experience with multiomics integration, spatial transcriptomics, and related advanced sequencing technologies is highly desirable. Solid understanding of machine learning techniques, particularly in the context of biological data analysis (e.g., clustering, dimensionality reduction, predictive modeling). Experience with software development practices (e.g., version control, testing, documentation) is preferredAnalytical Skills Extensive experience with bioinformatics tools, software packages, and databases used for genomic analysis Ability to handle large-scale, high-dimensional datasets and apply statistical methods to extract meaningful insights.Collaboration & Communication Excellent collaboration skills, with the ability to work effectively in multidisciplinary teams. Strong written and verbal communication skills to present complex analytical concepts to both technical and non-technical audiences. Equal Opportunity Employer, including disabled/veterans New England Biolabs is committed to fostering a diverse and inclusive community. As an Equal Employment Opportunity employer, New England Biolabs considers applicants for employment without regard to and does not discriminate on the basis of any category protected under applicable federal, state, or local laws and regulations. More in-depth details of EEO are available Information regarding New England Biolabs' commitment to Diversity, Equity, and Inclusion can be found New England Biolabs is a participating employer in the Employment Verification () program.If you need an accommodation for any part of the employment process because of a medical condition or disability, please send an email to or call to let us know the nature of your request. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.