Research Assistant I (Computational)- Lee Lab
Boston
Boston Children's Hospital
<p>Boston Children’s Hospital is dedicated to improving and advancing the health and well-being of children around the world through its life-changing work in clinical care, biomedical research, medical education and community engagement.</p>Status
Full-Time
Standard Hours per Week
40
Job Posting Category
Research
Job Posting Description
We are looking for a talented and highly motivated Research Assistant interested in computational genomics and bioinformatic research at Boston Children’s Hospital. This position will involve writing codes for next-generation sequencing (NGS) data analysis and quality control, performing statistical analysis, and large-scale genomic data management. As an NIH funded lab as part of the SMaHT (Somatic Mosaicism across Human Tissue) network (https://commonfund.nih.gov/smaht), a newly launching NIH Common Fund consortium, the goal of the Lee lab is to characterize genomic variation and functional change associated with human disease using cutting-edge genomic and computational approaches. Details about the laboratory can be found at http://compgen.hms.harvard.edu.
This Research Assistant I will be responsible for:
- Writing codes for quality control and genomic/bioinformatic data analysis.
- Running computational pipelines on a large set of genomic and transcriptomic data on high-performance computing cluster and Google/Amazon cloud systems.
- Performing statistical analysis.
- Performing data coordination and data management tasks.
- Performing general lab maintenance and administration.
- Bachelor’s degree in computer science, computational biology, or other quantitative field.
- Basic knowledge in molecular biology and statistics.
- Strong programming skills with script languages (e.g., shell, python, perl, and R).
- Comfortable working on Linux-based systems.
- Experience with high-performance computing cluster and cloud systems is preferred.
- Research experience with next generation sequencing (NGS) data analysis is preferred.
- Good problem-solving, written, and oral communication skills.
- Excellent organizational skills.
Office/Site Location
Boston
Regular, Temporary, Per Diem
Regular
Remote Eligibility
Onsite Only
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biology Computer Science Data analysis Data management Linux Perl Pipelines Python R Research Statistics
Perks/benefits: Competitive pay Flex hours Flex vacation Health care
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