Job Description

Job Description

Job Description

Scismic is supporting the growth of a Cambridge, MA biotech startup that is pioneering mRNA-modulating therapies to cure a broad range of genetic diseases. The company is exploring the use of its novel platforms in neurological disorders, heart disease, and muscular dystrophies.

We are seeking applicants with an innovative mindset, keen attention to detail, and the ability to work as part of a team to solve problems in preclinical research and development. The position will entail collaborating with scientists to design experiments, develop tools, analyze large/complex datasets, and use statistical modeling / machine learning to advance the identification and optimization of therapeutic leads.

Key Responsibilities

• Advance the ongoing development of internal machine learning-based pipelines to predict and optimize therapeutically relevant molecular properties.
• Derive and interpret results from internally and externally sourced next-generation sequencing data.
• Design and synthesize diverse feature sets to model molecular properties in silico and accelerate identification of promising therapeutic candidates.
• Support data-driven decision-making and assist with the development of efficient analysis pipelines.
• Maintain accurate, up-to-date documentation of work and code.
• Foster growth of colleagues and the company by helping bridge the gap between computation and biology.
• Stay up to date with emerging technologies and methodologies in bioinformatics, computational biology, and machine learning.
• Communicate findings and results to a wide range of stakeholders in written and oral formats.

 

Preferred Qualifications

• A PhD in bioinformatics or a related discipline with a focus on applying machine learning to biological questions. Industry experience a plus but not required.
• Experience with deep learning model design and development.
• Experience exploring, analyzing, and troubleshooting a variety of next-generation sequencing data.
• Experience implementing and working with molecular dynamic simulations or other molecular modeling paradigms.
• Fluency in Python, R, or both, and usage of ML libraries.
• Comfortable working in Linux and/or cloud-based computational environments.
• Open-minded, team-centric, ability to work collaboratively in a fast-paced team environment.
• Open-minded, team-centric, collaborative approach to work and colleagues.

 

This role will be hybrid with 3 days onsite in Boston (Seaport).

Title and compensation will be commensurate with experience.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

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