Job Posting Title

Research Assistant I- Lee Lab

Department

Medicine-Nephrology

AutoReqId

74652BR

Status

Full-Time

Standard Hours per Week

40

Job Posting Category

Research

Job Posting Description

Dr. Dongwon Lee is seeking a full-time Research Assistant to perform a variety of computational genomics and genetics analyses. This is an excellent opportunity to learn about the latest techniques in computational genomics and genetics.

We study disease-associated genetic variants using computational approaches with a particular focus on transcriptional regulatory mechanisms. We have developed several machine-learning methods for the analysis of regulatory elements and regulatory variants (Lee et al., Nature Genetics 2015; Lee, Bioinformatics 2016; Lee et al., Genome Research 2018; Han et al., PNAS 2022). Potential projects will include the development of computational methods to model regulatory control of human disease by incorporating improved machine-learning/deep-learning algorithms and single-cell multi-omics data (genomic, transcriptomic, and epigenomic). There will also be ample opportunity to collaborate with clinicians and wet-lab biologists to apply our methods to clinical genetic and genomic data and to validate our computational predictions in model systems.

This Research Assistant I will be responsible for: 

  • Assist in performing various computational analysis of genetic and genomic data, such as bulk and single-cell RNA-seq and ATAC-seq, whole exome/genome sequencing and array genotyping data
  • Assists in troubleshooting computational analysis if results are unexpected
  • Conducts literature searches and reviews, compiling information for journals and suggesting uses for new techniques to the P.I.
  • Attends seminars and conferences to further own knowledge of research and analysis techniques, consulting with other researchers and technicians to exchange information.
  • Contributes to the team within and between departments and organizations.

In order to qualify, you must have: 

  • Bachelor's Degree in STEM, data science, computer science/engineering, biomedical engineering, computational biology, biostatistics, or related fields. 
  • Programming skills in Python, R, or equivalent
  • Work experience in Unix/Linux environment
  • Experience with large genetic and genomic data analysis in a cluster computing environment (preferred)
  • Experience with standard genetics/genomics software such as bwa, STAR, GATK, DESeq, and Plink (preferred)
  • Excellent written and verbal communication skills.

Boston Children’s Hospital offers competitive compensation and unmatched benefits including flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.

Office/Site Location

Boston

Regular, Temporary, Per Diem

Regular

Remote Eligibility

Onsite Only

Read Full Description
Confirmed 3 hours ago. Posted 25 days ago.

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