Job Description:
Additional Info:
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Requisition Number: | 1538 |
Job Title: | Assoc. Computational Biologist |
Area of Interest: | Bioinformatics/Computational Biology |
City: | Cambridge |
State/Province: | Massachusetts |
Job Description: | OVERALL RESPONSIBILITY We are looking for a highly motivated individual to join the Stanley Center for Psychiatric Research at the Broad Institute. This person will be responsible for developing and implementing computational tools for genetic analysis, for analyzing whole genome and whole exome sequencing data sets, and for integrating and interpreting genetic association results. The candidate should have a strong background in mathematics or statistical genetics, have fluency with biology, and be able to adapt quickly and be part of a cross-functional team in a rapidly changing environment. The Stanley Center and the Broad Institute provide a vibrant research environment with close links to MIT, Harvard and the Harvard-affiliated hospitals across Boston. Being a member of our team will provide the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and psychiatric disease research. CHARACTERISTIC DUTIES • Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of large data sets. • Develop, run and interpret quality control procedures for whole exome and whole genome sequencing data. • Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports. • Help implement analysis methodologies into software tools for publication and distribution to the psychiatric disease research community. |
Requirements: | • Bachelor’s of Science degree in genetics, statistics, mathematics, computer science, biology, or related fields is required. Master's degree in those same fields is desired. • Experience in quantitative (statistical, mathematical, computational) research with large data sets. • Excellent communication and interpersonal skills. • Familiarity with genomic data, tools and databases. • Strong initiative and ability to take ownership of assigned tasks and projects. • Demonstrated attention to detail and analytical skills. EOE/Minorities/Females/Protected Veterans/Disabilities |
Skills :
- Computational Biology
- Genetics
- Human Biology
- Lunix/Unix
- Machine Learning
- Modeling
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in R
- Statistics
Areas :
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