Bioinformatics Scientist

TALENT Software Services; Tucson (AZ); Hybrid; USD 120,000 - 170,000; Full time

Job summary

TALENT Software Services is seeking a Bioinformatics Scientist to support Roche Diagnostics Discovery Sciences Research and Early Development. The role involves designing, implementing, and maintaining analytical tools for diagnostic sequencing data, including NGS, scRNAseq, and multiomics.

Collaboration with wet lab scientists and external partners is key to success. The ideal candidate will work across assay development lifecycles, troubleshoot data quality issues, and advocate for

Qualifications

• Bachelor's Degree with 7+ years experience
• PhD with 2 years industry exp in clinical diagnostics OR Masters with 5 years exp
• Expertise in DNA/RNA sequencing and scRNAseq analysis

Responsibilities

• Design, implement, and maintain internal algorithms and tools for diagnostic data.
• Collaborate with wet lab scientists and stakeholders to optimize pipelines.
• Develop tools and workflows to improve data quality, reproducibility, and scalability.
• Communicate project outcomes across teams.

Skills

R/Python programming

Linux

10X Genomics

DNA/RNA sequencing

scRNAseq analysis

Education

Bachelor's Degree

PhD in Bioinformatics/Comp Biology/Statistics

Master's in Bioinformatics/Comp Biology/Statistics

Tools

None

Job description

• 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 Bachelor's 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