Computational Scientist I- Center for Genomic Medicine

Broad Institute; Cambridge (MA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) retirement plan

Paid holidays and time off

Parental leave

Employee assistance program

Job summary

The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Broad Institute of MIT and Harvard is seeking a highly motivated Computational Scientist to analyze sequencing data to identify structural variants in the human genome.

This hybrid role involves collaborating with biologists, computational biologists, and clinicians to translate models into experiments, develop pipelines, and visualize results for publications and IP.

Qualifications

• PhD required in a quantitative field.
• 2+ years of direct work experience.
• Experience with biological datasets, preferably large-scale genotyping and/or sequencing data.
• Proficiency in at least one modern programming language (Python or R).

Responsibilities

• Perform large-scale data analysis on genomics data and bulk sequencing data for collaborators.
• Mining of genetic databases and resources to evaluate loci for gene discovery.
• Conceive, implement and test genomics models; work with wet-lab researchers to translate these models into testable experiments; help analyze data from experiments.
• Evaluate and recommend new emerging data analysis tools.
• Create scientifically rigorous visualizations, communications, and presentations of results.
• Contribute to the generation of pipelines, protocols, publications, and intellectual property.
• Experience with publicly available genetic databases (eg GTEx, Roadmap, gnomAD, UCSC, GWAS catalog).
• Independent, highly motivated, and highly collaborative with the ability to work with multi-disciplinary teams.

Skills

Genomics data analysis

Cloud computing

Collaborative work

Education

PhD in quantitative discipline

Tools

Python

R

Job description

The Talkowski Laboratory in the Center for Genomic Medicine at Massachusetts General Hospital (MGH) and the Broad Institute of MIT and Harvard is seeking a highly motivated, enthusiastic Computational Scientist to work with and support our research group in analyzing sequencing data to identify structural variants within the human genome using genomic population databases and aggregating phenotype and genotype datasets. We are comprised of an interdisciplinary group of scientists, technicians, bioinformaticians, computational biologists, and postdoctoral fellows who work together in a mutually supportive and respectful environment. Ideas are freely shared, and contributions are highly valued. We are dedicated to characterizing genomic variation contributing to human disease, with a focus on the relationship between genome structure and function. The lab integrates molecular and computational genomics methods to investigate the genetic architecture of neuropsychiatric disorders and develop new technologies for translational applications in genetic diagnostics. The lab has served as a hub for novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders. This position is hybrid, and candidates can work remotely as needed

Education requirements

A PhD degree in a quantitative discipline (such as computational biology, biostatistics, statistical genetics, computer science, bioinformatics, or in biology with a strong quantitative background). Additional postdoctoral experience is preferred.

Minimum years of experience

2+ years of direct work experience.

Responsibilities

• Perform large-scale data analysis on genomics data and bulk sequencing data for collaborators
• Mining of genetic databases and resources to evaluate loci for gene discovery
• Conceive, implement and test genomics models; work with wet-lab researchers to translate these models into testable experiments; help analyze data from experiments
• Evaluate and recommend new emerging data analysis tools
• Create scientifically rigorous visualizations, communications, and presentations of results
• Contribute to the generation of pipelines, protocols, publications, and intellectual property
• Experience with biological datasets, preferably large-scale genotyping and/or sequencing data.
• Proficiency in at least one modern programming language. Experience with a scientific programming environment, such as R or Python, is preferred.
• Experience in cloud-based computing preferred, but not required.
• Familiarity with next-generation sequence data analysis tools; ideally will have some prior experience with statistical methods, pipelines and tools relevant to genomic data analysis.
• Experience with publicly available genetic databases (eg GTEx, Roadmap, gnomAD, UCSC, GWAS catalog) preferred.
• Independent, highly motivated, and highly collaborative with the ability to work together with multi-disciplinary teams of biologists, laboratory scientists, bioinformaticians, and physicians.

The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.

At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.

The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Should you need a reasonable accommodation to complete the application or interview process, please contact [e-mail] for assistance.