Research Data Sciences Co-Op

Found in: beBee S US - 2 weeks ago

Waltham, United States Dyne Therapeutics Full time
Company Overview:

Dyne Therapeutics is a clinical-stage muscle disease company focused on advancing innovative life-transforming therapeutics for people living with genetically driven diseases. With its proprietary FORCE™ platform, Dyne is developing modern oligonucleotide therapeutics that are designed to overcome limitations in delivery to muscle tissue. Dyne has a broad pipeline for serious muscle diseases, including clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and a preclinical program for facioscapulohumeral muscular dystrophy (FSHD).

Role Summary:

The Data Sciences team at Dyne Therapeutics is seeking a Co-Op student to participate in research on innovative therapeutics for rare neuromuscular disease. You will apply your computational skills to the engineering and analysis of data in our drug discovery programs. You will apply your skills in machine learning and data engineering on complex multi-omics and preclinical datasets. In partnership with biology and bioinformatics scientists, you will contribute to insights about novel therapeutic mechanisms and their impact on disease. The successful candidate will be collaborative, detail-oriented, enjoy learning new skills and working in a fast-paced environment.

Dyne’s Co-Op Program offers students the opportunity to learn and work at a cutting-edge company in the biotech industry. Through the course of the co-op, you will gain a broad understanding of a variety of experimental and bioinformatics research methods in therapeutic discovery and development.

This role is for a period of 6 months, beginning in July.

This role is based in Waltham, MA without the possibility of being a remote role. Applicants must be able to relocate to the area. 

 

Primary Responsibilities Include:

Implementation of computational methods and data engineering for omics data sets such as Next Generation Sequencing (NGS).  Evaluation of computational methods for classification of therapeutic R&D data for understanding of patient population and disease biology.  Management, integration, and visualization of preclinical and translational data. Analytical method development with regular communication of progress to the project team and accurate documentation of technical work. Presentation of learnings and findings at the end of the Co-Op term

 

Education and Skills Requirements:

Undergraduate student in a relevant field, such as bioinformatics, cheminformatics, applied mathematics, or computer science or equivalent experience  Programming experience in R and/or Python; familiarity with code management and notebook IDE such as jupyter  Experience with statistical and machine learning methods, such as supervised and unsupervised classification Interest in working with biological data types, such as biomolecular sequence, transcriptomics and proteomics Understanding of relational databases, SQL, json, or other data management structures Strong organizational skills and solid written and oral communication 

#LI-Onsite

The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements.  Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload.

This description is not intended to be constructed as an exhaustive list of duties, responsibilities, or requirements for the position. This position may change or assume additional duties at any time.  The employee may be requested to perform different or additional duties as assigned. All Employees are expected to adhere to all company policies and act as a role model for company values.

Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.

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