Mass General Brigham
Job Summary
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.
The candidate will work within 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. As a highly motivated, enthusiastic contributor, you will 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.
Will process incoming sequencing datasets through established pipelines and will contribute to the development of new analysis workflows. Effectively communicate with other subteams to ensure that new analysis workflows are distributed across teams.
Perform high-quality, genome-scale computational analyses under the supervision of the group leader in a timely manner. Quickly learn new analytical approaches and be capable of applying and developing novel computational methods for solving complex problems. Must apply extensive practical programming experience, as well as experience with cloud computation and workflow management systems. Must also contribute 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.
Essential Functions
Serve as member of the team analyzing the sequencing data for the Autism Sequencing Consortium. 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.
Perform complex data acquisition, storage, cleaning, and pre-processing.
Performs advanced quantitative statistical analysis methods.
Dissemination of results via presentation and publications.
Process 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.
Perform QC of results and generate 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.
Perform other responsibilities as needed.
Independently design and execute bioinformatics analyses and research projects on small-mid scale projects.
Develop and optimize data analysis pipelines and workflows.
Collaborate with scientists and researchers to define analysis goals and interpret results.
Analyze data quality and integrity of data output from existing algorithms as part of the complex, multi-step specimen tracking and reporting process, across multiple systems and web-based interfaces.
Develop new and innovative tools to enhance quality assurance review and to improve assay and system performance.
Design and apply novel computational methods/bioinformatics algorithm, machine learning models for building data models and tools using various software and statistical tools to aid in the analysis and interpretation of genetic data, clinical data, images (NGS Algorithm development, Machine Learning).
Analyze large molecular datasets of tumor sequencing data to help critically review and analyze the results of specimen testing, working closely with faculty and staff to troubleshoot problems, recommend technology-based solutions, or determine computational strategies.
Qualifications Education Master's Degree Computational Biology preferred or Bachelor's Degree Computational Biology required
Experience Computational Sciences Experience 3-5 years required
Knowledge, Skills and Abilities
Advanced skillset in computational biology, bioinformatics, statistics, or genomics.
Advanced knowledge of statistical association analyses and approaches in genomics studies.
Experience in cloud-based computing preferred.
Ability to adapt to shifting priorities in response to changing deadlines and the needs of the lab.
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.
Project management skills and/or experience is also a plus.
Additional Job Details (if applicable) Remote Type Hybrid
Work Location 185 Cambridge Street
Scheduled Weekly Hours 40
Employee Type Regular
Work Shift Day (United States of America)
Pay Range $92,102.40 - $134,056.00/Annual
Grade 7
Mass General Brigham EEO Statement 1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected under Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
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The candidate will work within 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. As a highly motivated, enthusiastic contributor, you will 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.
Will process incoming sequencing datasets through established pipelines and will contribute to the development of new analysis workflows. Effectively communicate with other subteams to ensure that new analysis workflows are distributed across teams.
Perform high-quality, genome-scale computational analyses under the supervision of the group leader in a timely manner. Quickly learn new analytical approaches and be capable of applying and developing novel computational methods for solving complex problems. Must apply extensive practical programming experience, as well as experience with cloud computation and workflow management systems. Must also contribute 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.
Essential Functions
Serve as member of the team analyzing the sequencing data for the Autism Sequencing Consortium. 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.
Perform complex data acquisition, storage, cleaning, and pre-processing.
Performs advanced quantitative statistical analysis methods.
Dissemination of results via presentation and publications.
Process 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.
Perform QC of results and generate 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.
Perform other responsibilities as needed.
Independently design and execute bioinformatics analyses and research projects on small-mid scale projects.
Develop and optimize data analysis pipelines and workflows.
Collaborate with scientists and researchers to define analysis goals and interpret results.
Analyze data quality and integrity of data output from existing algorithms as part of the complex, multi-step specimen tracking and reporting process, across multiple systems and web-based interfaces.
Develop new and innovative tools to enhance quality assurance review and to improve assay and system performance.
Design and apply novel computational methods/bioinformatics algorithm, machine learning models for building data models and tools using various software and statistical tools to aid in the analysis and interpretation of genetic data, clinical data, images (NGS Algorithm development, Machine Learning).
Analyze large molecular datasets of tumor sequencing data to help critically review and analyze the results of specimen testing, working closely with faculty and staff to troubleshoot problems, recommend technology-based solutions, or determine computational strategies.
Qualifications Education Master's Degree Computational Biology preferred or Bachelor's Degree Computational Biology required
Experience Computational Sciences Experience 3-5 years required
Knowledge, Skills and Abilities
Advanced skillset in computational biology, bioinformatics, statistics, or genomics.
Advanced knowledge of statistical association analyses and approaches in genomics studies.
Experience in cloud-based computing preferred.
Ability to adapt to shifting priorities in response to changing deadlines and the needs of the lab.
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.
Project management skills and/or experience is also a plus.
Additional Job Details (if applicable) Remote Type Hybrid
Work Location 185 Cambridge Street
Scheduled Weekly Hours 40
Employee Type Regular
Work Shift Day (United States of America)
Pay Range $92,102.40 - $134,056.00/Annual
Grade 7
Mass General Brigham EEO Statement 1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected under Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.
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