Bioinformatics Scientist

***This is a hybrid position for a Bioinformatics Scientist******
The Position
We are seeking a talented and highly motivated Bioinformatics Scientist to support the Roche 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.
The Opportunity:
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.
Who You Are:
Required: You have a Bachelors Degree and 7 years of experience
Preferred: 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 or a Masters degree in Bioinformatics Computational Biology Statistics or a related field with 5 years of industry experience in clinical diagnostics or a related domain
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.
Behaviors competencies and qualities of the ideal applicant:
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