Bioinformatics Co-op

Job Title

Wave Life Sciences is a biotechnology company focused on unlocking the broad potential of RNA medicines to transform human health. Our RNA medicines platform, PRISM, combines multiple modalities, chemistry innovation and deep insights in human genetics to deliver scientific breakthroughs that treat both rare and prevalent disorders. Our toolkit of RNA-targeting modalities including RNAi silencing and RNA editing provides us with unmatched capabilities for designing and sustainably delivering candidates that optimally address disease biology.

Our diversified pipeline is focused on our obesity, alpha-1 antitrypsin deficiency and PNPLA3 I148M liver disease programs and includes clinical programs for Duchenne muscular dystrophy and Huntington's disease, as well as several preclinical programs utilizing our versatile RNA medicines platform. Driven by the calling to "Reimagine Possible", we are leading the charge toward a world in which human potential is no longer hindered by the burden of disease.

Wave needs a highly motivated and detail-orientated individual to work in the areas of bioinformatics, computational biology and human genetics in support of Wave's drug discovery programs. The candidate will be expected to work within a team to design and execute sequence-based machine learning projects that generate critical information for drug discovery and target assessment. The candidate will create and deploy data and test hypotheses related to human genetics and bioinformatics.

The candidate will build and use the next generation of human genetics and bioinformatics tools for the development of oligonucleotide therapeutics. The candidate should have a strong coding and software development background and a willingness to work in an interdisciplinary team of chemists, biologists, and software developers.

• Discovery and development of oligonucleotide therapeutics is a plus
• Working with high-performance compute environments

• Contribute to large data projects; design and build pipelines that process and analyze related data, store summary results and integrate with the corporate ELN
• Build applications to support bioinformatics and human genetics pipelines in R (shiny) and Python (streamlit)
• Leverage AI-enabled tools, including generative AI and coding assistants, to accelerate software development, data analysis, documentation, and scientific discovery while ensuring appropriate validation, reproducibility, data security, and responsible use.
• Contribute to best practices for Wave's storage-and-compute scalability of large bioinformatics datasets
• Develop pipelines that determine mapping coordinates and homology of oligonucleotides to genomes and transcriptomes
• Espouse best practices for version control for developed software (Git)

• Deployment and deployment of interactive application from scripting languages like R and Python (Shiny and streamlit)
• Experience with relational databases; hands on experience with MySQL is a plus.
• Experience in common NGS analyses task such mapping reads, quantification of gene expression, and/or variant calling.
• Experience with common bioinformatics tools like Samtools, GATK, Bowtie, HISAT2, BLAST, htseq-count, DESeq, Salmon, STAR, or Subread
• Knowledge of Illumina sequencing data analysis is necessary and experience with Pac Bio and/or Nanopore sequencing is a plus
• Familiarity with UNIX computing environment and proficiency in either Python or R scripting. Experience with docker and Nextflow pipeline is also strongly recommended.
• Ability to communicate finding of NGS data to a general scientific audience in both oral and written forms.

Wave Life Sciences provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Wave Life Sciences complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring,…