Bioinformatics Scientist

About the role

The Bioinformatics Scientist will collaborate with multidisciplinary teams to design, optimize, and troubleshoot advanced high-throughput sequencing and scRNAseq experiments. They will contribute bioinformatics expertise throughout the assay development lifecycle, develop and maintain analytical tools and pipelines for processing diagnostic data, and provide hands-on troubleshooting to ensure data quality and accessibility.

Responsibilities

• Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing and scRNAseq experiments.
• Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from disease, germline, and cell-free DNA samples.
• Create, implement, and streamline bioinformatics tools and workflows in partnership with wet lab scientists to enhance assay development efficiency and data quality.
• Provide hands-on troubleshooting to ensure data quality, integrity, and accessibility across the diagnostic workflow, while addressing the needs of internal and external stakeholders through scientific and business analyses.
• Advocate for best practices in documenting, training, and scaling algorithms, tools, and workflows to ensure reproducibility and scalability.
• Communicate project outcomes and team progress across various teams and organizational functions to promote alignment and collaboration.

Requirements

• You have a Bachelor's Degree and 7+ years of experience in bioinformatics, computational biology, statistics, or a related field.
• You have a PhD in Bioinformatics, Computational Biology, Statistics, or a related field with 2 years of industry experience in clinical diagnostics or related domain.
• You have a strong understanding of molecular biology principles and hands-on familiarity with next-generation sequencing laboratory processes.
• You have expertise in DNA/RNA sequencing as well as scRNAseq data analysis and interpretation.
• You have hands-on experience with 10X Genomics analysis workflows.
• You are proficient in programming skills in R and/or Python, with experience working in a distributed Linux environment.
• You are proficient in creating clear, insightful visualizations of complex biological data, with strong presentation skills.

Qualifications

• Required: Bachelor's Degree and 7+ years of experience in bioinformatics, computational biology, statistics, or a related field.
• Preferred: PhD in Bioinformatics, Computational Biology, Statistics, or a related field with 2 years of industry experience in clinical diagnostics or related domain.