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.
Description:
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.
Experience: Discovery and development of oligonucleotide therapeutics is a plus
Working with high-performance compute environments
Responsibilities:
Contribute to large data projects; design and build pipelines that process and analyze related data, store summary results and integrate with the corporate ELNBuild 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)
Key Skills:- 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 PacBio 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.
Pay Range:
Disclosure Statement$24—$30 USDThe range provided is based on what we believe is a reasonable estimate for the annual base salary pay range for this position at the time of posting. Actual annual base salary will vary based on several factors including, but not limited to, relevant skills, experience, qualifications, position criticality, and internal equity. This position is eligible for a discretionary annual bonus and discretionary stock-based long-term incentives. In addition to compensation, Wave offers a comprehensive and competitive range of benefits designed to support our employees' and their families physical and financial health and overall well-being. These include, but are not limited to, company-sponsored medical, dental, vision, life, long and short-term disability insurances, generous paid time off (including a week-long company shutdown in the Summer and the Winter), 401K participation with matching contributions, and Employee Stock Purchase Program. 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, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Wave Life Sciences expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Wave Life Sciences' employees to perform their job duties may result in discipline up to and including discharge. We value our relationships with professional recruitment firms. To protect the interests of all parties, and given the large volume of inquiries received from third-party placement agencies, we are not able to respond to all agency inquiries. We do not accept unsolicited resumes from any source other than directly from candidates for current or future positions. Submission of unsolicited resumes in advance of a signed agreement between our company and a placement agency does not create an implied obligation and, if an unsolicited candidate represented by a placement agency is hired, we are not obligated to pay a fee. Only approved recruitment firms will be allowed to provide services to Wave Life Sciences, USA.Data Privacy and Your Information By submitting your information in applying for a position at Wave (or lawfully on behalf of a candidate as an approved recruiter), you represent that the information you submit (including your name, phone number, email address, address, and resume/CV/work history) is true and accurate, you have the right to share it, and that no part of the Information violates or infringes the rights of any third parties. If you submit information lawfully on behalf of another applicant as an approved recruiter, you confirm that you have the right to so submit. You grant Wave permission to use your information to contact you in connection with this or another position, for interviews, scheduling purposes, travel arrangements, or follow up after a decision on the role has been made. Wave Life Sciences is committed to respecting your privacy. We do not sell or rent personal information to third parties for marketing purposes. Any Personal Information you share with us will be used for business purposes, such as communication with you, and handled in accordance with Wave's Privacy Policy, Notice, Statements, and Additional Information. Wave collects, evaluates and retains candidate data for the legitimate interest of selecting a candidate for employment or contract purposes. Such data will be kept for no longer than necessary to carry out those purposes, unless you consent for your information to be retained up to an additional three (3) years for consideration for future opportunities at Wave. Any requests related to your Personal Information may be electronically submitted to Wave's Data Protection Officer at .If you choose to share your demographic background (such as race, gender or sex, national origin, age, disability or veterinary status) by completing the optional survey, your responses will be combined with the answers from other applicants in an aggregated and anonymized form which may be used for equal employment opportunity reporting, diversity and inclusion analysis, and to help us evaluate the effectiveness of our recruiting practices. The information you share will not be used for hiring decisions or provided to hiring managers or interviewers.
