Bioinformatics Scientist - Genomics & Assay Development

Bioinformatics Scientist

Required

Education:

Bachelor's Degree and 7+ years of experience

Preferred Education:

PhD in Bioinformatics, Computational Biology, Statistics, or a related field with 2 years of industry experience in clinical diagnostics or related domain Masters degree in Bioinformatics, Computational Biology, Statistics, or a related field with 5 years of industry experience in clinical diagnostics or a related domain

Required Skills:

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 have a strong understanding of molecular biology principles and hands-on familiarity with next-generation sequencing laboratory processes. Preferred

Skills:

You are proficient in programming skills in R and/or Python, with experience working in a distributed Linux environment. Proficiency in C++ or Java is a plus You are proficient in creating clear, insightful visualizations of complex biological data, with strong presentation skills

Summary:

We are seeking a talented and highly motivated Bioinformatics Scientist to support the Client Diagnostics Discovery Sciences Research and Early Development team. This role requires a broad understanding of bioinformatic analysis across diverse technologies, including NGS, scRNAseq, and multiomics. The successful candidate will collaborate closely with wet lab scientists, internal stakeholders, and academic collaborators to design, implement, and maintain internal algorithms and tools.

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 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.

** Only those lawfully authorized to work in the designated country associated with the position will be considered.**

** Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**