Job Description:
Job Description Staff ScientistComputational Proteomics Broad Institute of MIT and Harvard The Proteomics Group at the Broad Institute (Steven Carr PI) is looking for a highly motivated and skilled computational proteomics scientist. The position is flexible and title/salary is commensurate with the candidates experience. The successful candidate will focus on developing and applying innovative computational approaches to analyzing proteogenomics data spanning genomics transcriptomics proteomics phosphoproteomics and other posttranslational modifications from cancer cardiovascular infectious and other diseases being actively studied in our group at Broad. The work will involve analysis of large-scale multi-omics data via pathway and network analysis integrated with statistical and machine learning approaches to derive biological insights and identify therapeutic opportunities. This is a rare opportunity to be part of an interdisciplinary team of proteomics and computational scientists biologists and clinicians. The candidate will apply computational statistical and machine learning methods to advance the state of the art in proteomics; develop data analysis strategies write algorithms and deploy computational tools for the exploration of large proteogenomics data sets; conceive implement and test statistical models; work with wet-lab researchers to translate these models into testable experiments; analyze the data produced from these experiments; test and develop novel tools for pathway and network analysis with emphasis on integrating diverse omics data types; and implement algorithms as software for distribution to the global research community. As part of the computational proteomics team the successful candidate will interact with world-class researchers across our vibrant Broad Institute community as well as with scientists we are collaborating with at leading academic research centers around the world. The successful candidate will also contribute to several large-scale NIH-funded consortia we are part of including the National Cancer Institutes Clinical Proteomic Tumor Analysis Consortium and the Molecular Transducers of Physical Activity Consortium. Broad proteomics scientists have spearheaded numerous flagship publications in high profile journals stemming from these consortia. Requirements: - Ph.D. in Computer Science Bioinformatics Computational Biology Statistics or a related quantitative discipline with at least 3 years experience working on real-world data. We are specifically looking for a talented and motivated researcher with a proven track record in applying computational methods to the analysis of large-scale omics datasets.
- A strong background in statistics and machine learning with both breadth of knowledge (hypothesis testing linear models supervised and unsupervised learning methods) and depth in a specific area (e.g. pathway and network analysis Bayesian analysis probabilistic methods deep learning).
- Proven programming skills with the ability to learn new languages and environments quickly. The group primarily uses R and Python along with shell scripts and other languages and technologies as needed in a cluster and cloud computing environment.
- Exposure to mass spectrometry-based proteomics and/or computational proteomics is a strong plus.
- Excellent ability to learn quickly with creative problem-solving skills along with effective communication are essential to successful performance in the fast-changing research computing environment at the Broad Institute.
Working in the Broads Proteomics group provides the potential for your contributions to be utilized and recognized across a global network of researchers in mass spectrometry-based proteomics and proteogenomics. #LI-POST All Broad employees regardless of work location must be fully vaccinated for COVID-19 by Tuesday October 12 2021. Requests for exemption for medical or sincerely held religious beliefs will be considered. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status. EEO is The Law - click here for more information Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled Check out this video for a look into our community! |
