Position Summary:
Calviri is an early-stage healthcare company building exceptional research and product development teams. We are seeking highly motivated scientists to join the company’s forward-thinking efforts in developing diagnostic and vaccine products to detect cancer early or prevent it from starting.
Our mission is to provide a broad spectrum of fundamentally different diagnostics and vaccines that will end deaths from cancer. Calviri is focused on using frameshift neo-antigens derived from errors in RNA synthesis and processing to provide these pioneering products. The company is currently engaged in the largest dog clinical trial ever conducted, in which we are evaluating the efficacy of a preventative cancer vaccine (https://www.cnn.com/2019/06/21/health/cancer-vaccine-dog-trial/index.html ).
As a bioinformatics software engineer you will work as part of a cross-functional team with biostatistics, software and algorithm development, data mining, and discovery and verification of novel neo-antigen peptides. We are seeking a highly motivated and capable bioinformatics scientist with string coding skills, background in statistics and working with multiple bioinformatics tools and databases.
Essential Duties and Responsibilities:
- Design and conduct analysis to improve classification and analysis systems
- Translate insight from model systems into predictors and classifiers from neo-antigen peptide microarray data
- Utilize known databases such as NCBI RefSeq, Ensembl, TCGA, Genome Browser, BLAST, and NCI Genomic Data Commons
- Develop and implement analysis pipelines
- Work with DevOps engineers to automate analysis pipelines on Kubernetes clusters in Azure
- Collaborate with scientists to design and develop data mining algorithms for neo-antigen peptide discovery
- Automate data flow, pipelines and maintaining databases for genomic data (raw and processed)
- Collaborate with DevOps engineers to create interfaces that allow for direct data access, as well as providing insights from statistical analysis
- Lead initiatives in developing our statistics and bioinformatics shared codebase under version control
- Utilize industry best practices for configuring, customizing and operationally managing bioinformatic and statistical software
Qualifications:
- Minimally 5 years experience working on bioinformatics challenges in an industry setting
- Demonstrated expertise in Python
- Working knowledge of bioinformatics tools such as Biopython, Bioconductor, local BLAST, Clustal, Galaxy, and GenePattern
- Working knowledge of SAS and/or R with an understanding of statistical methods
- Experience utilizing Azure cloud services
- Demonstrable abilities to mentor team members in best practices, partner with colleagues and collaborators to develop and implement new initiatives, and in fostering positive change
- Experience working with relational databases preferably MySQL
- Experience working with NoSQL Databases preferably Cosmos dB
- Detail oriented with an initiative to drive tasks to completion
- Ability to work well in a rapid-paced environment
- Ability to work well in a group and independently
- Proficient communicator with great written and verbal English fluency
The ideal candidate will possess knowledge of:
- String background with statistics and classification models
- Python
- SAS and/or R
- SQL & NoSQL databases
- Bioinformatics Tools/APIs
- Azure Cloud Services (preferably 1+ year's experience )
Our company is located at two sites in the Greater Phoenix Metroplex: Tempe and Phoenix, AZ. Salary is competitive.