Bioinformatics Scientist

SanegeneBio USA

Woburn, MA

Company Overview

SanegeneBio is a global, venture-backed, clinical-stage biotech company advancing best-in-class genetic medicines. Powered by our proprietary LEAD™ siRNA delivery and chemistry platform, we are developing innovative RNAi therapeutics for cardiometabolic and autoimmune diseases. With R&D operations across the U.S. and China, we foster a culture of scientific rigor, collaboration, operational excellence, and continuous innovation.

We are seeking a highly motivated Bioinformatician / Bioinformatics Scientist to support bioinformatics and operational workflows across discovery and translational research programs. This role will play a critical part in enabling data-driven decision-making through analysis, automation, pipeline development, data management, and cross-functional support for biology and platform teams. The ideal candidate will combine strong computational skills with excellent organizational and communication abilities in a fast-paced biotech environment.

Key Responsibilities

• Develop, maintain, and optimize bioinformatics pipelines and operational workflows supporting RNA-focused discovery programs.
• Analyze and interpret large-scale biological datasets including RNA-seq, qPCR, screening, and other omics datasets.
• Build and maintain reproducible analysis workflows using Python, R, shell scripting, and version control best practices.
• Manage code repositories and collaborative development workflows using Git/GitHub.
• Partner closely with biology, chemistry, platform, and operations teams to streamline data flow and improve research efficiency.
• Assist in maintaining and integrating laboratory information management systems (LIMS) such as Benchling.
• Generate automated reports, visualizations, dashboards, and internal tools to support project teams and management.
• Contribute to SOP generation, documentation standards, data integrity practices, and workflow troubleshooting.
• Support cloud or HPC-based computational workflows as needed for scalable data processing.
• Maintain clear experimental and computational records and contribute to study reports and presentations.
• Stay current with emerging bioinformatics tools, RNA biology technologies, and industry best practices.

Qualifications

• M.S. in Bioinformatics, Computational Biology, Biology, Computer Science, Biostatistics, or related discipline with 5 years of relevant industry experience; OR Ph.D. with 2 years of industry experience.
• Strong programming skills in Python and/or R, including experience building reproducible analysis pipelines.
• Hands-on experience with Git/GitHub and collaborative software development practices.
• Prior biotechnology or pharmaceutical industry experience strongly preferred.
• Experience working with LIMS platforms such as Benchling or related laboratory data systems preferred.
• Experience with RNA biology, RNA therapeutics, transcriptomics, or oligonucleotide-based therapeutics.
• Experience handling biological datasets and applying statistical or computational analysis methods.
• Excellent communication, collaboration, and documentation skills.
• High attention to detail and commitment to scientific rigor and data quality

Benefits

Medical, dental, and vision insurance

401(k) with company match

Annual bonus and equity compensation

HSA/FSA programs