Dana-Farber Cancer Institute

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Research Fellow

Research Fellow

Job ID 
2017-8023
Location 
US-MA-Boston
Category 
Fellowships
Type 
full time
Grade 
41
Job Posted Date 
8/9/2017

More information about this job

Overview

This person will independently lead and conduct bioinformatics and genomic research, and provide her/his expertise to lab members in the collection, management, interpretation, and analysis on biological, pathological, and molecular pathological data, with a focus on, but not limited to, high-throughput technologies with strong emphasis on next-generation sequencing.  The main responsibility of this position is on the application of state-of-art bioinformatics technologies to analyze and integrate large scale omics datasets.  Require familiarity with existing genomic databases such as, but not limited to, TCGA, ENCODE, CCLE, etc.  Proficiency in programming using either R/Perl/Python/Java/C++ is a must.  Solid knowledge of biostatistics and strong quantitative skills are also required.  Familiarity with SAS, exome and RNA-seq analysis, and NGS laboratory procedures are preferred, but not required.  Excellent interpersonal and communication skills are essential, as are the abilities to work both independently and collaboratively and to meet deadlines.  Require a PhD in bioinformatics, computational biology, computer science, biostatistics, statistics, or other areas of quantitative life sciences, with related experiences.  

Responsibilities

This Postdoctoral Fellow will:

 

  1. Independently lead and conduct projects related to genomics, bioinformatics, and computational biology.
  2. Write manuscripts and research protocols.
  3. Meet with lab members and collaborators to provide bioinformatics consultation in the analysis of experimental data
  4. Communicate with lab members and collaborators to understand and obtain data analysis specifications
  5. Design data analysis project plans and estimate time to completion
  6. Work independently and as a team member to analyze data, developing software tools and analytical pipelines where necessary
  7. Provide publication quality documentations at the end of each data analysis project
  8. Provide education and training in bioinformatics and data analysis topics
  9. Evaluation, development, and support of new bioinformatics methods
  10. Work collaboratively with or guide other lab members to develop the resources in the laboratory

 

SUPERVISORY RESPONSIBILITIES: (include number of direct reports)

This person will be responsible for providing education and training in bioinformatics and data analysis topics to lab members, when needed.  This person will supervise a bioinformatic analyst in the lab. 

Qualifications

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

 

MINIMUM JOB QUALIFICATIONS: (Education, certifications, years of experience)

Require a PhD in bioinformatics, computational biology, computer science, biostatistics, statistics, or other areas of quantitative life sciences, with related experiences.

 

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

 

  1. Abilities to work collaboratively and communicate effectively with scientists to understand experimental systems for the development and implementation of data analysis solutions.
  2. Proficiency in programming using either R/Perl/Python/Java/C++ for statistical programming and ability to prototype software solutions and analytical pipelines for data analysis
  3. Familiarity with genomic technologies and their applications
  4. Familiarity with a wide range of biological databases and resources
  5. Familiarity with meta-analysis methods, including functional class enrichment and pathway analysis.
  6. Abilities to estimate time for various projects and to keep accurate records of work performed are essential.
  7. Excellent communication skills are essential.
  8. Excellent science writing skills in English are essential.
  9. Excellent leadership skills are also essential to lead research projects.

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