Computational Scientist I Genome-scale Computational Analyses
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Job Location:
Cambridge, MA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
General information
Description & Requirements
The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Stanley Center for Psychiatric Research at the Broad Institute of MIT and Harvard is seeking a highly motivated enthusiastic candidate to work with our research group to detect annotate and characterize genetic variants in large cohorts of patients with autism and other neuropsychiatric conditions. The Talkowski Lab is a large diverse and interdisciplinary group of scientists dedicated to the characterization of genomic variation contributing to human disease. The group is leading and contributing to multiple international consortia that collect process aggregate and analyze genomic sequencing data on a large scale.
The advertised position is part of the autism and neuropsychiatric subteam which is part of the larger variant association team. The candidate will process incoming sequencing datasets through established pipelines and will contribute to the development of new analysis workflows. The candidate is expected to effectively communicate with other subteams to ensure that new analysis workflows are distributed across teams.
We are seeking a candidate to perform high-quality genome-scale computational analyses under the supervision of the group leader in a timely manner. Successful candidates are expected to be quick learners of new analytical approaches and be capable of applying and developing novel computational methods for solving complex problems. Candidates should therefore have extensive practical programming experience as well as experience with cloud computation and workflow management systems. The candidate must also have experience with implementing large-scale computational analyses algorithm development or statistical analysis. Knowledge of existing analysis tools methods and databases in the field of genomics is a significant plus.
This position is hybrid with the option of flexible remote working hours.
Responsibilities:
- Member of the team analyzing the sequencing data for the Autism Sequencing Consortium. Through this role you will assist with the development of analysis aiming at (1) calling and annotating variants in short read sequencing data and (2) developing association frameworks to link detected variants to phenotypes.
- Responsible for processing incoming blended genome exome (BGE) datasets (i.e. a cost-effective method that combines low-pass whole genome sequencing with deep exome sequencing from a single DNA sample) from various neuropsychiatric cohorts and calling copy-number variants in these samples.
- Responsible for QCing the results and generating reports to share with collaborators.
- Interact with other subteams most notably the methods development team to develop improve standardize optimize and distribute new and existing methods for genomics analyses to bridge the progress made by different subteams.
- Provide collaborative bioinformatics analysis in support of other research projects.
- Track and communicate progress to internal and external stakeholders at meetings and over Slack.
Skills:
- Experience with cloud computing and workflow management systems. Experience with Terra WDL and Google Cloud is a plus.
- Proficient in Python R and Unix/Linux and/or other scripting languages.
- Proven ability to learn new computational tools and packages.
- Good foundations in statistics.
- Ability to work independently and in a team setting in an organized fashion.
- Good interpersonal and oral/written communication skills in English.
- Strong ability and experience in interpreting computational results and translating these results into biologically relevant conclusions and hypotheses.
- Experience in genomics and handling large-scale datasets is a plus.
Education:
Ph.D. in a computational discipline (e.g. computational biology bioinformatics biostatistics computer science mathematics physics statistics) with 3 years of related experience preferred but exceptional candidates with less experience are welcome to apply.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Broad Institute is a multidisciplinary community of researchers on a mission to improve human health.
