drjobs Computational Biologist - Contract

Computational Biologist - Contract

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1 Vacancy
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Job Location drjobs

Cambridge - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

COMPANY MISSION
At eGenesis we aspire to deliver safe and effective human transplantable cells tissue and organs utilizing the latest advancements in genome editing.

POSITION SUMMARY
eGenesis is seeking a contractor position for Computational Biologist/Bioinformatics Scientist to join our team of scientists in advancing our mission to make xenotransplantation a reality. The ideal candidate will have a robust background in genomics particularly a demonstrated expertise in variant calling using NGS sequencing. This role will focus on analyzing sequencing data refining variant detection approaches and interpreting genomic variations to inform scientific and technical advancements. The ideal candidate should be exceptionally detailoriented with strong analytical skills ensuring high standards of accuracy and efficiency in a dynamic resultsoriented environment.

PRIMARY RESPONSIBILITIES

    • Perform variant calling and quality assessment on sequencing datasets
    • Analyze genomic variants to identify patterns and refine computational methods
    • Optimize and validate bioinformatics pipelines for improved variant detection
    • Interpret genomic data in collaboration with experimental and computational teams
    • Document findings and contribute to internal reports and presentations
    • Assist in data organization and maintenance to ensure data integrity
    • Stay uptodate on the latest advancements in computational biology and genomics to implement best practices

BASIC QUALIFICATIONS

    • A masters degree with 23 years of experience or a PhD in bioinformatics computational biology engineering computer science or a related quantitative field
    • Strong programming skills in Python R or Bash and experience working in Linux environments
    • Extensive experience with variant detection and visualization including small variants and complex structural variants (SV) in repetitive regions
    • Proficiency in NGS data analysis and understanding of genomewide variant interpretation
    • Experience with genomic databases such as NCBI UCSC Ensembl
    • Strong organization skills and meticulous attention to detail
    • Experience with AWS cloud computing GitHub Benchling and/or SevenBridges data analysis platform is a plus
    • Knowledge of molecular biology and longread sequencing is preferred
    • Strong oral and written communication skills
    • Ability to work independently and collaboratively in a fastpaced environment

Employment Type

Contract

Company Industry

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