Scientist/Sr. Scientist, Computational Biology
- Employer
- Dark Horse Talent
- Location
- Boston, Massachusetts, US
- Salary
- Competitive
- Closing date
- Sep 19, 2023
View more
- Sector
- Consultancy/Private Sector
- Field
- Informatics / GIS
- Discipline
- Biology
- Salary Type
- Salary
- Employment Type
- Full time
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Scientist/Senior Scientist, Computational Biology (Mass Spec/Proteomics)
Our client, an oncology-based therapeutics company in Boston, MA, is looking for a highly skilled Data Scientist to join their team. The right candidate has a strong ability to work across multi-disciplinary teams, and has the initiative to take the lead on developing computational methods. If you are interested in joining an exceptional group of scientists, whose mission is to transform cancer patient care, please see more details below!
Responsibilities include:
Qualifications:
Our client, an oncology-based therapeutics company in Boston, MA, is looking for a highly skilled Data Scientist to join their team. The right candidate has a strong ability to work across multi-disciplinary teams, and has the initiative to take the lead on developing computational methods. If you are interested in joining an exceptional group of scientists, whose mission is to transform cancer patient care, please see more details below!
Responsibilities include:
- Building informatics pipelines for processing of Mass spec and Proteomic data
- Analyzing data from high-throughput libraries/ proteomic interactions screens
- Interpreting results and presenting findings to multi-disciplinary teams
- Collaborating with wet-lab scientists on a daily basis to develop platforms aiding in experimental design
- Continuing to learn innovative and novel data tools to apply to internal pipeline development
Qualifications:
- Ph.D. in a quantitative scientific discipline (Bioinformatics, Computer Science, Physics, Mathematics, or related)
- Experience with Mass-Spectrometry-based proteomics datasets
- Strong coding experience in Python, Java, and R
- Ability to learn new processes quickly and apply them to internal models
- Strong communication skills both with internal teams and external collaborators
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