GENERAL SUMMARY/OVERVIEW STATEMENT
The Talkowski laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH), Harvard Medical School, and the Broad Institute is seeking multiple exceptional staff scientists in computational biology to join our community. Dr. Talkowski is the Director of the CGM, one of the largest and most vibrant genomics centers in the world. The CGM is comprised of 45 faculty and over 400 individuals engaged in all aspects of genomic medicine from technology development and population genetics to large-scale disease association studies, functional genomics modeling, genetic diagnostics, and therapeutic development. The CGM is also a major docking point for leadership at the Broad Institute and the Talkowski laboratory is engaged with the Program in Medical and Population Genetics, the Stanley Center for Psychiatric Research, and the Data Sciences Platform at the Broad Institute. Our community has a highly collaborative environment and the candidates selected would be involved in research initiatives seeking to discover genomic variation and determine its functional impact in developmental anomalies and neuropsychiatric disorders. The Talkowski Lab seeks multiple candidates in both genomic variation discovery and functional genomics stream. Candidates interested in genome variation and association would focus on several large-scale initiatives in autism genomics, the genome aggregation database (gnomAD), Mendelian genetics, the Gabriella Miller Kids First initiative, prenatal diagnostics and studies of fetal demise, and the All of Us research program. Candidates interested in functional genomics studies would work on integrative analyses of genomics datasets in CRISPR engineered neuronal cell line models of human development, therapeutic targeting studies in the neuro-developmental and neurodegenerative disorders, or analyses of three-dimensional genome regulatory changes. Ideal candidates should have extensive background in human genetics, genomics, statistics, bioinformatic principles and tools and will be able to apply these to large scale genomic datasets.
Candidates will have the opportunity to lead projects, teams, and initiatives in a unique translational genomics environment, and to independently direct collaborative research projects with colleagues across institutions in Boston as well as national and international collaborative initiatives.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Discovery and analysis of genomics datasets across global population and human disease studies.Conceive, implement and test functional genomics models in close coordination with molecular geneticists seeking to translate these models into biological insights for precision therapeutics.
- Evaluate and benchmark new emerging technologies and analytic methods
- Develop and interoperate across genetic databases and clinical resources.
- Create scientifically rigorous visualizations, communications, and presentations of results
- Contribute to generation of protocols, publications, and intellectual property
SKILLS & COMPETENCIES REQUIRED
- A Ph.D. degree in a quantitative discipline (such as computational biology, biostatistics, statistical genetics, computer science, bioinformatics, physics – or in biology with a strong quantitative background).
- Minimum of 2 years post-graduate experience preferred, but exceptional Ph.D. students will also be considered.
- An established publication record is required.
- Proficiency in modern programming language is required. Experience with a scientific programming environment, such as R, Python, Perl, or Matlab, is preferred.
- Experience in cluster-based or/and cloud-based computing is required.
- Basic understanding of statistical methods is required but advanced statistical background is preferred.
- Experience with biological datasets, preferably large-scale sequencing and/or genotyping data is preferred.
- Familiarity with massively parallel sequence data analysis tools is preferred; ideal candidates will have some prior experience with statistical methods, pipelines and tools relevant to RNAseq analysis.
- Experience with publicly available genetic databases (eg GTEx, Roadmap, ExAC, 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.
- Strong communication skills (both written and oral).
Ph.D. in human genetics, computational biology, bioinformatics, computer science, statistics, mathematics, or a related field required. Postdoctoral experience is preferred.
Visa sponsorship is not available for this position but highly qualified researchers may inquire about postdoctoral fellow positions.
Minimum of 2 years of directly related research experience post-graduation is preferred.
Office space in the Center for Genomic Medicine at the Simches Research Center of MGH, Boston.EEO Statement Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged
MA-Boston-MGH 185 Cambridge
MGH 185 Cambridge 185 Cambridge Street Boston 02144
Business and Systems Analyst
Massachusetts General Hospital(MGH)
Full-timeStandard Hours 40
RegularRecruiting Department MGH Center for Genomic Medicine
Dec 3, 2020