Bioinformatics Specialist Job at Massachusetts General Hospital, Cambridge, MA

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  • Massachusetts General Hospital
  • Cambridge, MA

Job Description

The Yu/Lichterfeld Joint Labs at the Ragon Institute of Mass General, MIT, and Harvard are seeking a highly motivated individual to join our team as a Bioinformatics Specialist. This role offers an exciting opportunity to contribute to cutting-edge research in the field of bioinformatics and to make a significant impact on our mission to find a cure for HIV infection.

Required Qualifications

  • Bachelor's degree or higher in computational biology, computer science, or a related field. A master or a Ph.D. degree is preferred.
  • Strong understanding of fundamental concepts in molecular biology, particularly next-generation sequencing technologies.
  • Proficiency in R and Python, as well as experience with Linux operating systems and shell scripting (Bash).
  • Familiarity with essential bioinformatics tools such as BLAST and Bioconductor, and common file formats including FASTA/FASTQ, SAM/BAM, BED, and VCF/BCF.
  • Excellent record-keeping skills, ability to learn independently, and exceptional attention to detail.
  • Strong communication, leadership, problem-solving, and teamwork skills are highly valued.

Desirable requirements

  • Knowledge of additional programming languages such as C, C++, Java, Rust, etc.
  • Experience with database management (SQL language) and website development (HTML, JavaScript, and CSS) is a plus.

Responsibilities

  • Maintain various pipelines to analyze viral sequences, discover new therapeutic targets, and develop innovative treatment strategies for HIV infection.
  • Lead efforts in establishing and maintaining proper data management protocols for the storage and sharing of genomic and clinical data.
  • Collaborate with physicians, scientists, and technologists to offer statistical and bio-computational support for experimental design, data processing, and data analysis procedures.
  • Generate and deliver concise reports in written or oral formats, utilizing vivid visualizations.
  • Work under the supervision of a computational biologist and faculty member in the lab.

Additional Information

  • Contact: Candidates with  interest in this position may email their cover letter and CV to Ce Gao cgao4@mgh.harvard.edu
  • Lab websites: and

Job Tags

Full time, Fixed term contract,

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