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Bioinformatics/Machine Learning Co-op (Fall 2024)
WaVe Life Sciences Cambridge, MA
$118k-148k (estimate)
Full Time | Scientific Services 6 Days Ago
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WaVe Life Sciences is Hiring a Bioinformatics/Machine Learning Co-op (Fall 2024) Near Cambridge, MA

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 includes editing, splicing, RNA interference and antisense silencing, providing us with unmatched capabilities for designing and sustainably delivering candidates that optimally address disease biology. Our diversified pipeline includes clinical programs in Duchenne muscular dystrophy, Alpha-1 antitrypsin deficiency and Huntington’s disease, as well as a preclinical program in obesity. 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 machine learning projects that generate critical information for drug discovery and target assessment. The candidate will create training data and test hypotheses related to transcript expression. The candidate will design and build the next generation of machine learning 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:  

  • Experience in discovery and development of oligonucleotide therapeutics is a plus; 
  • Experience working in high-performance compute environment 

Responsibilities:  

  • Lead and oversee to machine learning projects; design and build pipelines that process and analyze related data, store summary results and integrate with the corporate ELN 
  • Develop, deploy, manage, and run applications using Docker containers 
  • 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: 

  • Experience with common machine learning technique (SVA, random forest) 
  • Experience with neural network based machine learning (Keras, Pytorch) 
  • Knowledge of machine learning life cycle from inception to deployment 
  • 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. 

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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Scientific Services

SALARY

$118k-148k (estimate)

POST DATE

05/24/2024

EXPIRATION DATE

07/23/2024

WEBSITE

wavelifesciences.com

HEADQUARTERS

CAMBRIDGE, MA

SIZE

200 - 500

FOUNDED

2012

TYPE

Public

CEO

PAUL BOLNO

REVENUE

$10M - $50M

INDUSTRY

Scientific Services

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About WaVe Life Sciences

Wave Life Sciences develops next-generation nucleic acid drugs that achieve high systemic bioavailability.

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