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OVERVIEW

Tufts Technology Services (TTS) is a university-wide service organization committed to delivering technology solutions in support of Tufts mission of teaching, learning, research, innovation, and sustainability. With staff across all of Tufts campuses, as well as a 24x7 IT Service Desk, we collaborate with schools and divisions to meet the demands of a global, mobile community. We promote a collaborative, flexible work environment, embrace diversity and inclusion, and encourage personal and professional development. Learn more about TTS on our website.

RESPONSIBILITIES

What You'll Do:
Reporting to the Director of Research Technology, the Senior Bioinformatics Scientist will work closely with members of TTS Research Technology to lead bioinformatics services for Tufts University faculty and students. Key responsibilities include providing consulting services on research project and grants to Tufts biomedical researchers, developing `Omics workflows and curating reference data for the support of bioinformatics research on the Tufts High Performance Compute Cluster (HPC) and Tufts Galaxy Server, supervising Bioinformatics Specialist and internship positions within TTS Research Technology, providing training in analysis and visualization methods for Omics data in the form of workshops and modules in semester courses and organizing university-wide groups and events for the bioinformatics community. The ideal candidate is enthusiastic about both research and teaching and enjoys working in a collaborative environment.

REQUIREMENTS

What We're Looking For:
Basic Requirements:

Skills and experience typically acquired through a MS in Bioinformatics or related quantitative science (Computer Science, Biology, Engineering, Math, Physics) and 5+ years' of work experience in Bioinformatics in industry or research
Significant hands-on experience and expertise with:
Python and R programming languages
Bioinformatics methods for Next Generation Sequencing (NGS) analysis (e.g. bulk and single-cell RNASeq, ChIPSeq, variant calling, de novo genome assembly, microbiome and metagenome analysis)
Statistics and Machine Learning
High-Performance Computing (HPC) environments and experience with UNIX/Linux based systems
One or more database language (e.g. SQL, MongoDB)
Experience in teaching semester courses or workshops on a quantitative topic
Demonstrated ability to visualize and present bioinformatics data using relevant programming and visualization tools
Excellent oral and written communication skills

Preferred Qualifications:

PhD in Bioinformatics or related quantitative science (Computer Science, Biology, Engineering, Math, Physics) and at least 3 years' of work experience in Bioinformatics in industry or research
Experience in teaching semester courses or workshops on a quantitative topic
Expertise with Statistics and Machine Learning
Experience with web server development and administration
Experience with cloud computing and development (e.g. AWS, Google Cloud)
Experience with NGS pipeline development

Special Work Schedule Requirements:
Occasional evening or weekend work, as well as the ability to participate in a 24x7 on call rotation for major incident support activities. This position has a work designation of remote.

HOW TO APPLY

Application Link: https://jobs.tufts.edu/jobs/16621

POLICY

An employee in this position must complete all appropriate background checks at the time of hire, promotion, or transfer.

Equal Opportunity Employer – minority/females/veterans/disability/sexual orientation/gender identity.

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