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 Castaldi’s group at the Harvard Medical School, John Platig’s Network Biology group at the University of Virginia, and Jennifer Dy’s 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 post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities to participate in building machine learning models, co-author 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 cutting-edge machine learning-based 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 Master's degree (or equivalent) A minimum of 3-4 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 RNA-seq, eCLIP, and other data is highly desirable but not required. An ability to write clean and well-documented code and work with GitHub repositories. Position Type Temporary Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. 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: $45/hour Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.    Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide—serves as a platform for scaling ideas, talent, and solutions. The university’s residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver. Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.

Salary : $45