Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Position Summary

We are seeking a skilled and motivated Bioinformatics Scientist to join our team, specializing in assay and content development for qPCR, dPCR, and CE technologies. The role focuses on delivering high-quality assays on schedule and contributing to the development and maintenance of computational pipelines, databases, and infrastructure to scale assay development. This position requires strong domain knowledge of genomics, PCR-based methods, and proficiency in bioinformatics pipeline development. You will convert biological questions into assay strategies and assign robust primer/probe sets. You will streamline workflows and optimize code for efficiency and scalability. Collaboration with other bioinformatics scientists, product management, and customer support colleagues is essential.

Primary Responsibilities

Design, develop, and optimize qPCR assays for various applications, including gene expression, genotyping, copy number analysis, and pathogen detection. Analyze and interpret complex genomic and sequence data to support target selection and assay development. Prepare and present scientific reports and presentations to communicate findings and progress. Develop, maintain, and optimize bioinformatics pipelines and workflow automation for large-scale assay development. Maintain version-controlled repositories, documentation, and reproducibility across computational workflows. Participate in the publication or productization of developed algorithms, pipelines, or tools

Required Qualifications

PhD or Master's degree in Bioinformatics, Computational Biology, Molecular Biology, Bioinformatics, or related fields. Preferred with 2+ years of relevant experience. Strong genomics & molecular biology domain knowledge in at least one of the domains in plant, mammalian, microbial, and oncology systems. Bioinformatics stack: IGV, BLAST, BWA/other aligners; major databases (GenBank, Ensembl); experience across genomics, and quantitative data with strong analytical, problem-solving skills. Strong programming for scripting: advanced Python and proficient R, with additional experience in C/C++/Java/Perl/Python/JavaScript/ReactJS; solid debugging. Teaming & execution: excellent communication; effective cross-functional collaboration; able to work independently and manage multiple projects concurrently.

Preferred Qualifications

Familiarity with machine learning or LLM-based methods or statistical methods for biological analysis. Experience with other assay development platforms, such as NGS, microarrays, etc. * Familiarity with workflow orchestration frameworks (Nextflow, Snakemake, Latch) or cloud computing and high performance computing environments.