Research Fellow - Computational Genomics and Statistical Genetics
Mass General Physicians Organization(MGPO)


Job Info


GENERALSUMMARY/ OVERVIEW STATEMENT:

The Talkowski laboratory in the Center for Genomic Medicine (CGM) at MassachusettsGeneral Hospital (MGH) and Harvard Medical School, and the Broad Institute isseeking exceptional postdoctoral candidates in computational biology,bioinformatics, and/or statistical genetics. We are seeking a candidate toperform genomics research across a spectrum of population genetics, diseaseassociation, and functional genomics studies. Successful candidates areexpected to excel at critical thinking, be quick learners for new analyticalapproaches, and capable of applying or developing novel computational methodsfor solving complex problems.

The Talkowski Lab is comprised of an interdisciplinarygroup of scientists, bioinformaticians, computational biologists, andpostdoctoral fellows who work together in a mutually supportive and respectfulenvironment. Ideas are freely shared, and contributions are highly valued. Weare dedicated to the characterization of genomic variation contributing tohuman disease, with a focus on the relationship between genome structure andfunction. The labintegrates molecular and computational genomics methods to investigate thegenetic architecture of neuropsychiatric disorders, as well as to develop newtechnologies for translational applications in genetic diagnostics. The lab hasrepresented a hub of novel gene and variant discovery and functional genomicsmodeling in common complex and rare Mendelian disorders.

Candidatesmust have a doctoral degree (PhD or MD), an excellent publication record, andgreat communication skills. A strong background in computerscience and/or mathematics is required; and specifically, experience withanalyzing high-dimensional datasets is preferred. Somefluency with biology and/or neuroscience is ideal, as is the ability to adaptquickly to a cross-functional team in a rapidly changing environment.

The candidate will be appointed as a ResearchFellow at the Massachusetts General Hospital, Post-Doc at the Harvard MedicalSchool, and Associated Scientist at the Broad Institute. Beinga member of our team will provide the opportunity for your contributions to beutilized and recognized across the vast global network of researchers in thefields of genomics and psychiatric disease research.Candidates will also requireexcellent interpersonal skills to work in a highly collaborative environmentacross institutions. Visa sponsorship is available for Postdoctoral Fellows.

Interested applicants should submittheir cover letter, CV, and contacts for references to:

talkowski@chgr.mgh.harvard.eduand lsmith66@mgh.harvard.edu

See the lab's website for more details oncurrent projects, objectives, and lab members - http://talkowski.mgh.harvard.edu.

PRINCIPALDUTIES AND RESPONSIBILITIES:

  • Analyzedatasets from a wide variety of genetics experiments including but not limitedto RNA-Seq (bulk and single-cell), Genotyping, and whole genome and exomesequencing.
  • Developmethods and algorithms to approach novel problems in computational biology.
  • Createscientifically rigorous visualizations, communications, and presentations ofresults.
  • Contributeto generation of protocols, publications, and intellectual property.
  • Maintainand organize computational pipelines, infrastructure and resources.
  • Presentresults to a variety of audiences, including non-computational staff.
  • Preparewritten reports and presentations for internal use and for publication, grants,and patents.
  • Opportunityto hone teaching and mentoring skills by overseeing junior team members.

SKILLS/ABILITIES/COMPETENCIESREQUIRED:

  • Doctorate in human genetics, quantitativegenetics, computational biology, bioinformatics, computer science, physics, ormathematics obtained within the last five years.
  • Fast learner, analytical thinker, creative,"hands-on", team-player.
  • Submitted first-author or joint first-author papers in any of theproject relevant fields.
  • Demonstrated proficiency in at least two of: Python, Perl, Unix,Java, Matlab, R, C, and C++.
  • Experience in working in HPC and/or cloud-based environment.
  • Demonstrated experience in medical oriented research and/orbiology.
  • Motivation to translate the developed research into publications.
  • Strong communication skills.
Notrequired, but preferred qualifications:
  • First-author papers published in peer-reviewed journals or apreprint archive.
  • Skilled with query languages: SQL, MongoDB querylanguage, HiveQL, Spark SQL. Skilled with data transfer & serialization formats:XML, JSON, Avro, simple formats (CSV, TSV).
  • Experience programming a third programming language.
  • Background in machine learning or biology is aplus.

EDUCATION:

PhD degree.

EXPERIENCE:

Recent PhD graduate.

WORKINGCONDITIONS: Describe the conditions in which the work is performed.

The fellow will be situated in thenewly renovated bioinformatics suite in the CGM allowing collaboration withother computational biology investigators; they will also have access to themolecular biology lab/cell culture facilities in the Talkowski Lab.

Qualifications
SKILLS/ABILITIES/COMPETENCIES REQUIRED:

  • Doctorate in human genetics, quantitative genetics, computational biology, bioinformatics, computer science, physics, or mathematics obtained within the last five years.
  • Fast learner, analytical thinker, creative, "hands-on", team-player.
  • Submitted first-author or joint first-author papers in any of the project relevant fields.
  • Demonstrated proficiency in at least two of: Python, Perl, Unix, Java, Matlab, R, C, and C++.
  • Experience in working in HPC and/or cloud-based environment.
  • Demonstrated experience in medical oriented research and/or biology.
  • Motivation to translate the developed research into publications.
  • Strong communication skills.
Not required, but preferred qualifications:
  • First-author papers published in peer-reviewed journals or a preprint archive.
  • Skilled with query languages: SQL, MongoDB query language, HiveQL, Spark SQL. Skilled with data transfer & serialization formats: XML, JSON, Avro, simple formats (CSV, TSV).
  • Experience programming a third programming language.
  • Background in machine learning or biology is a plus.

EDUCATION:

PhD degree.

EXPERIENCE:

Recent PhD graduate.

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.



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