Machine Learning​/Cheminformatics Co-op; Fall

Job Description

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 clinical program in obesity and a preclinical program in NASH/MASH. 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 is looking for a creative and highly motivated Machine Learning/Cheminformatics Co‑op to help develop machine learning or AI models of oligonucleotide activity as a member of an agile cheminformatics team. Create a significant impact by building predictive models for direct usage in drug discovery projects. Shadow an experienced data scientist as they guide and support a discovery team on its path to delivering successful treatments for serious diseases.

• Coursework in computer science, statistics, or a related field
• Completed at least 2 programming courses

• Improving your coding and data science skills
• Extract and maintain datasets from both public and internal sources
• Build models for delivery to our scientific partners
• Perform rigorous experimentation to determine the drivers of model accuracy
• Learn and follow agile processes
• Attend cheminformatics team meetings
• Provide honest, constructive feedback to all team members

• Experience with SQL, Python, or R
• Knowledge of machine learning approaches (e.g., SVM, RF, NN)
• Driven, curious and able to work both independently and collaboratively
• Experience using source code version control systems
• Interest in learning the scientific domain
• Ability to learn new software and technologies quickly
• Ability to follow instructions and work in a team environment
• Detail‑oriented

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.