Bioinformatics Scientist, NGS Data Analysis

New England Biolabs, Inc. in; Ipswich; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading biotechnology company seeks a talented Bioinformatics Scientist specialized in NGS data analysis. The role involves developing computational pipelines for complex datasets and applying machine learning techniques to support innovative research initiatives. Join a collaborative team that drives scientific discoveries and fosters diversity and inclusion.

Qualifications

• Ph.D. required in relevant fields.
• Extensive NGS experience and single-cell sequencing preferred.
• Strong computational skills with Python or R.

Responsibilities

• Develop computational pipelines for NGS data analysis.
• Leverage machine learning to interpret NGS data.
• Collaborate with research teams on data analysis.

Skills

NGS data analysis

Machine learning

Computational pipeline development

Statistical methods

Collaboration

Education

Ph.D. in Bioinformatics, Computational Biology, or related field

Tools

Python

R

Job description

Bioinformatics Scientist, NGS Data Analysis (Biotech)

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.

Primary Responsibilities:

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 preferred

Analytical 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.

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.

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 availablehere.

Information regarding New England Biolabs' commitment to Diversity, Equity, and Inclusion can be foundhere.

New England Biolabs is a participating employer in the Employment Verification ( E-Verify ) 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 [e-mail] or call 978-927-5054 to let us know the nature of your request.