Principal Scientist Bioinformatics II | Alabaster, AL

team to support the algorithm development efforts. In this role, you will collaborate closely with assay scientists, software engineers and other bioinformatics scientist and apply your strong knowledge in next generation sequencing technologies. This will include illumine SBS (sequencing by synthesis), nanopore, etc.

to design and develop algorithms for read processing, alignment, and variant (SNV, SV, insertions/deletions, CNV, TMB, MSI) callers etc. This will be used in our products that will affect patient care. Responsibilities: Lead algorithm development effort for NGS applications including conceptualization, method development and implementation of production level algorithms

in an Agile environment. Follow software development process and deliver and maintain documentation that explains why and how as well as the final design for scientific, marketing, and regulatory uses Present internally or externally (peer-reviewed publications or conference proceedings) and communicate updates across multiple functions in the organization.

Transfer algorithm to production teams and provide scientific support for updates and maintenance Support bioinformatics pipeline to continue development for existing products Qualifications: Ph D in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or other quantitative field combined with 4+ years'

experience of designing novel algorithms for NGS data analysis for example read processing, variant calling (SNV, insertions/deletions, CNV, SV, TMB, MSI etc.

), variant annotation and analyzing large scale complex genomic datasets. Experiences in developing novel algorithms, complexity analysis, as well as demonstrated skillset in statistical and mathematical modeling is a Must. Experience implementing high-quality and efficient product level code. In depth knowledge of sequencing (long and/or short read), cancer molecular biology, bioinformatics tools, statistical methods. Proficient with programming languages (C++ and/or Python) in a distributed Linux environment Experience with Machine learning / Deep learning (used in NGS context) is a plus.

Hands-on experience using a workflow management system such as Nextflow or Snakemake, using Docker and cloud computation resource and storage Strong written and verbal communication skills with ability to adjust to technical and non-technical audiences Result-oriented individual that thrives in collaborative multi-disciplinary teams. Excels at incorporating feedback in a professional manner. One or more first/co-first author publication(s) in a high-impact peer reviewed journals is highly desired. Relocation assistance is not available for this role.

The expected salary range for this position is $111,200-$245,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Who we are At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups.

Our success is built on innovation, curiosity and diversity. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, interactionual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.