About Us
Our mission is to develop transformational genetic medicines utilizing novel delivery technologies, with an emphasis on diseases with significant unmet medical need. Our team is advancing multiple innovative approaches to deliver a variety of therapeutic payloads, focusing initially on gene editing in therapeutically relevant cells and tissues. Our world class scientific founders include Professor David Liu (HHMI, Broad and Harvard) and Professor Keith Joung (Arena BioWorks, formerly MGH), and we are funded with a significant capital investment by leading life science venture capital firms including Newpath Partners, Atlas Venture, F-Prime Capital, and 5AM Ventures. We believe that our technology has the potential to positively impact patients suffering from severe genetic diseases, and we are committed to building an excellent, science-driven and diverse team that is passionate about making a difference. Nvelop Therapeutics is based in Cambridge, MA.
Position Overview
The Computational Biologist will work closely with scientists and other computational biologists to analyze NGS data and apply machine learning methods to solve exciting and challenging biology problems.
Job Responsibilities:

• Development and maintenance of computational pipelines to analyze NGS data, including whole genome sequencing, targeted sequencing, and bulk/single cell RNA-seq
• Implement and apply machine learning methods to predict optimal therapeutics designs
• Responsible for statistical aspects of study/experiment design, data analysis, visualization, and data quality assurance
• Follows best practices for developing and maintaining reproducible bioinformatics pipelines and analyses including but not limited to extensive documentation, source code versioning/management using git, using reproducible compute environment such as Docker etc.

Skils and Qualifications:

• Must be highly motivated and goal-oriented
• Ph.D. in Computational Biology, Computer Science, or a related discipline
• 2 years of experience in analyzing NGS data for biomedical research, preferably with applications in gene editing and immunology
• Solid experience in statistics and/or machine learning
• Proficient in R, bash script and/or python, Unix/Linux/cloud environment and SQL query language
• Experience with off-target effect analysis is a plus
• Excellent analytical, problem-solving, and communication skills

Additional Requirements:
Full time in-person work is necessary for our laboratory-based positions. We work in facilities that require that all individuals working on-site are vaccinated for COVID-19. Position Title and Salary will be commensurate with Experience
We recognize the value of diversity in our workforce and are committed to building a welcoming and supportive working environment. We consider all qualified applicants without regard to race, religion, color, gender, age, national origin, sexual orientation, gender identity, partnership status, protected veteran status, disability, or any other status protected by federal, state, or local law. Individuals who hold legal work authorization applicable to employment in the United States will be considered without regard to citizenship/alienage.
We are not accepting unsolicited resumes from employment agencies for any employment opportunities at this time.