Bioinformatician

About the Opportunity

JOB SUMMARY:

The Bioinformatician will report to Ayan Paul Research Scientist at EAI and collaborate with Scientists and Clinicians from Peter Castaldis group at the Harvard Medical School John Platigs Network Biology group at the University of Virginia and Jennifer Dys group at ECE Northeastern University. Responsibilities will include building an ETL pipeline for ENCODE genomics data writing Python code for data analysis and a downstream R pipeline for postprocessing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities to participate in building machine learning models coauthor publications and contribute to grant proposals. Tentative start date: January 2024 for the Spring 2024 semester with possibilities of renewal. This work will contribute towards the understanding of genetic origins of complex diseases like Chronic Obstructive Pulmonary Disease and cuttingedge machine learningbased methodologies for regulation of mRNA splicing.

RESPONSIBILITIES INCLUDE:

• Building ETL pipelines for genomics/transcriptomics data from public databases and processing them with publicly available codes in python and R.

• Documenting the entire process and all the codes generated and maintaining structured and regular commits in a GitHub repository.

• Helped implement machine learning models and automate the processing of input data.

• Write reports/prepare slide decks describing work performed.

• Contribute to scientific manuscripts and grant proposals where appropriate.

MINIMUM QUALIFICATIONS:

• A Masters degree (or equivalent)

• A minimum of 34 years of experience working with data pipelines and data analysis.

• Proficiency in Python and R. Experience working in Unix OS and remote computing clusters.

• Have demonstrable expertise in bioinformatics especially genomics transcriptomics proteomics and/or metabolomics and have a good grasp of statistics.

• Experience working with genomics databases like ENCODE and familiarity with RNAseq eCLIP and other data is highly desirable but not required.

• An ability to write clean and welldocumented code and work with GitHub repositories.

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience education and skills when extending an offer.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race religion color national origin age sex sexual orientation disability status or any other characteristic protected by applicable law.

Pay Rate: