Bioinformatician / Bioinformatics

Sanegene Bio USA Inc

Woburn, MA

JOB DETAILS
SKILLS
Analysis Skills, Autoimmune Disease, Automation, Best Practices, Bioinformatics, Biology, Biostatistics, Biotech and Pharmaceutical, Chemistry, Cloud Computing, Collaboration Software, Communication Skills, Computer Programming, Computer Science, Cross-Functional, Data Management, Data Processing, Data Quality, Data Sets, Detail Oriented, Documentation, Documentation Standards, Genetics, Git, GitHub, Identify Issues, Laboratory Information Management System (LIMS), Medical Products, Operational Support, Organizational Skills, Python Programming/Scripting Language, R Programming Language, Real-time PCR (qPCR), Reporting Dashboards, Reporting Skills, Research & Development (R&D), Software Development, Source Code/Configuration Management (SCM), Standard Operating Procedures (SOP), Statistics, Team Player, Translational Research, Unix Shell Programming, Workflow Analysis
LOCATION
Woburn, MA
POSTED
30 days ago

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Bioinformatician / Bioinformatics

  • May 18, 2026
  • Woburn, MA

Position 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.

Interested candidates: please send your information to hr@sanegenebio.com.

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