Research Fellow- Structural Variation Team (Talkowski Lab)

Apply online here: https://partners.taleo.net/careersection/ghc/jobdetail.ftl?job=3131032&tz=GMT-04%3A00&tzname=

 

GENERAL SUMMARY/ OVERVIEW STATEMENT:

 

The Talkowski laboratory in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School, and the Broad Institute is seeking exceptional postdoctoral candidates in computational biology, bioinformatics, and/or statistical genetics. We are seeking a candidate to perform genomics research across a spectrum of population genetics, disease association, and functional genomics studies. Successful candidates are expected to excel at critical thinking, be quick learners for new analytical approaches, and capable of applying or developing novel computational methods for solving complex problems.

 

The Talkowski Lab is comprised of an interdisciplinary group of scientists, 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 the characterization of 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, as well as to develop new technologies for translational applications in genetic diagnostics. The lab has represented a hub of novel gene and variant discovery and functional genomics modeling in common complex and rare Mendelian disorders.

 

Candidates must have a doctoral degree (PhD or MD), an excellent publication record, and great communication skills. A strong background in computer science and/or mathematics is required; and specifically, experience with analyzing high-dimensional datasets is preferred. Some fluency with biology and/or neuroscience is ideal, as is the ability to adapt quickly to a cross-functional team in a rapidly changing environment.

 

The candidate will be appointed as a Research Fellow at the Massachusetts General Hospital, Post-Doc at the Harvard Medical School, and Associated Scientist at the Broad Institute. Being a member of our team will provide the opportunity for your contributions to be utilized and recognized across the vast global network of researchers in the fields of genomics and psychiatric disease research.Candidates will also require excellent interpersonal skills to work in a highly collaborative environment across institutions. Visa sponsorship is available for Postdoctoral Fellows.

 

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

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

 

See the lab’s website for more details on current projects, objectives, and lab members – http://talkowski.mgh.harvard.edu.

 

PRINCIPAL DUTIES AND RESPONSIBILITIES:

 

  • Analyze datasets from a wide variety of genetics experiments including but not limited to RNA-Seq (bulk and single-cell), Genotyping, and whole genome and exome sequencing.
  • Develop methods and algorithms to approach novel problems in computational biology.
  • Create scientifically rigorous visualizations, communications, and presentations of results.
  • Contribute to generation of protocols, publications, and intellectual property.
  • Maintain and organize computational pipelines, infrastructure and resources.
  • Present results to a variety of audiences, including non-computational staff.
  • Prepare written reports and presentations for internal use and for publication, grants, and patents.
  • Opportunity to hone teaching and mentoring skills by overseeing junior team members.

 

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.

 

 

WORKING CONDITIONS: Describe the conditions in which the work is performed.

 

The fellow will be situated in the newly renovated bioinformatics suite in the CGM allowing collaboration with other computational biology investigators; they will also have access to the molecular 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.

Apply online here: https://partners.taleo.net/careersection/ghc/jobdetail.ftl?job=3131032&tz=GMT-04%3A00&tzname=