Associate Director, Computational Biology

About Prometheus Biosciences, Inc.

Prometheus Biosciences, Inc. is a privately held biotechnology company pioneering a precision medicine approach to the discovery, development, and commercialization of novel therapeutic and companion diagnostic products for the treatment and diagnosis of IBD. The company's precision medicine platform, Prometheus 360, combines proprietary bioinformatics discovery methods with one of the world's largest gastrointestinal bioinformatics databases to identify novel therapeutic targets and develop therapeutic candidates to engage those targets. Prometheus is guided by its board of directors, led by Chairman Tachi Yamada, M.D., and a scientific advisory board composed of key opinion leaders in IBD, including Stephan Targan, M.D., William Sandborn, M.D. and Dermot P. McGovern, M.D., Ph.D. In addition, Prometheus has entered into collaborations to develop targeted therapies for IBD.

SUMMARY

Prometheus Biosciences is a clinical stage, research-based biopharmaceutical company developing cutting-edge treatments for unmet needs in Inflammatory Bowel Disease (IBD). We have an immediate opening for a full-time Computational Biologist with expertise in functional and comparative genomics, who can help provide big data analysis to inform all our R&D efforts, ranging from target discovery, genotype-phenotype relationships to product development and commercialization.

The successful candidate will be responsible for developing advanced statistical and machine learning-based algorithms to leverage new insights into IBD drug target identification and development from human -omics data (e.g., genomics, epigenomics, transcriptomics, metabolomics), and support the annotation, visualization and management of our database.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Serves as a subject matter expert in the field of complex data analysis and keeps up to date with scientific and technological advances
• Is responsible for developing and implementing new analysis methodologies to enable target and biomarker identification from human samples and preclinical models
• Helps to shape Prometheus' discovery pipeline strategy, prioritization and execution
• Provides nuanced and well-informed scientific direction to senior management and the research teams
• Helps resolve project hurdles by utilizing available information and technical expertise
• Independently designs, executes, and interprets complex data analysis strategies to answer scientific questions
• Helps design and maintain key research and development clinical and genomic databases

ESSENTIAL SKILLS / EXPERIENCE

• A MS or PhD degree in Computational Biology, Bioinformatics, Biostatistics, Genomic Sciences or a related discipline. A minimum of 1-3 years of post-degree experience, preferably in an industry environment
• Demonstrated ability to independently develop and apply state-of-the-art -omics workflows (from raw data through analysis and visualization to hypothesis generation) to test hypotheses and offer new data-driven perspectives
• Proficient computational statistics / machine learning skills applied to systems-level data types
• Solid knowledge of Unix/Linux and fluency in R and Python programming languages
• Familiarity with parallel computing, relational databases (e.g., SQL) and cloud computing or distributed computing (i.e. AWS)
• Ability to quickly adapt to evolving research needs, rapidly acquire new scientific knowledge and stay informed on new approaches and technologies
• Experience with data curation and data mining of public information
• Background / strong interest in biology / medicine / drug discovery
• Skilled in clearly communicating complex computational approaches to broad audiences
• A motivated self-starter with a clear vision how their skills can impact our drug discovery and development programs, who is comfortable working in a fast-paced start-up environment

DESIRED SKILLS / EXPERIENCE

• Experience analyzing and integrating different types of human genetic datasets (e.g., GWAS, Rare variants, eQTL, etc.)
• Experience with the use of commonly used statistical genetics packages (PLINK, ADMIXTURE, GATK, etc.)
• Experience with using public human genomics databases (GWAS Catalog, OpenTargets, etc.)
• Experience with the analysis of gene expression and gene regulation through the use of RNAseq, scRNA-seq, etc.
• Experience with the analysis of large OMICS datasets
• Experience with integrating multi-platform omics data and applying advanced machine learning techniques to uncover biological insights for SNP and target discovery
• Familiarity with molecular / cell biology assays
• Familiarity with immunobiology

All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected class.