The Research Computing (RC) team at Northeastern University (NU) seeks a motivated, self-starting individual to be a member of our dynamic team as an Associate Bioinformatician. The successful candidate will be a key link between the RC team and the research community at NU, including faculty and students across a broad range of departments, as well as outside users and partners, in order to help them understand and utilize RC resources for their research and teaching.
As an Associate Bioinformatician at NU, your primary objective will be to support and enhance the research enterprise through direct interaction with faculty and students. You will assist research groups in taking full advantage of Discovery, NU's 1,700+ node HPC cluster installed at the Massachusetts Green High Performance Computing Center. You will help with optimization of code and leveraging of scheduler features to maximize throughput of jobs. You will work with research groups to help identify, implement and improve their computational and data workflow, as well as assist in facilitating computing and data infrastructure solutions specific to Northeastern University researchers. As a PhD level scientist, you will also participate in grant funding opportunities, and author research papers and presentations, with faculty members at Northeastern University. Additionally, you will have the opportunity to design and lead projects, working directly with RC Graduate Research Assistant (GRA) and Co-op student workers.
At Team ITS, your success matters as much as the mission. Learn more about our flexible, highly dynamic, and values-first culture at careers.its.northeastern.edu
This position is eligible for remote work.
Ph.D. in biology, molecular biology, biostatistics, bioinformatics, computational biology, or other related discipline
Knowledge in biostatistics packages (R or Matlab) and SQL queries
Proficiency working in Unix/Linux environments
Proficiency in commonly used command-line tools (Bedtools, Blast+, SAMTools, Bowtie2, Picard, GATK, FastQC, etc)
Experience in a batch HPC environment with a parallel file system using Slurm
Experience in an academic or research community environment
Experience with scientific workflows
Excellent interpersonal communication skills
Ability to understand and communicate statistical measures for interrogating the quality of data manipulation
Ability and willingness to learn new technologies and remain current in developing trends in the scientific computing community
Ability to communicate and document clearly
Demonstrated strong individual writing skills
Desire for continuous self-improvement and maintenance of skills through training
Curious by nature and unafraid of asking questions until you understand well-enough to teach someone else
Self-starter, with a proven track record for creativity and initiative
Able to prioritize multiple projects and work streams in a fast-paced environment
Postdoctoral work at a computing facility or biologically focused industry research environment
Strong publication record consistent with a history of collaborative research in computational science
High proficiency in R
Proficiency with pipelines for handling reads from different platforms (Illumina, IonTorrent, PacBio, etc)
Experience with parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA
Experience with database management including SQL, as well as non-relational databases such as MongoDB
Knowledge of different mapping algorithms for next gen sequencing reads to published genomes
Knowledge of de novo genome assembly tools and algorithms
Knowledge of sources of error in library preparation and bioinformatics analysis of next gen sequencing data
Knowledge of machine learning and data mining techniques
Software and Infrastructure Support
Partner with scientist and research staff to efficiently and effectively use NU HPC clusters at MGHPCC, to be expanded to over 10,000 cores with high bandwidth, low latency interconnects, and 3+ petabytes of data storage
Work with research groups to help identify, implement, and improve their computational and data workflows; assist in facilitating computing and data infrastructure solutions specific to NU researchers
Participate in the research and deployment of new technologies such as GPUs, Big Data and ML technologies (Hadoop, Tensorflow, etc), and cloud computing resources (AWS, Azure, GCP)
Develop effective pipelines for high throughput analysis, maximizing the utilization of computational resources
Troubleshoot, isolate, and resolve application errors, and other technical issues
Assist biologically focused faculty in the development of appropriate software stacks for analysis of sequencing and biological samples
Assist in developing and writing proposals to enhance the research enterprise at NU
Work with scientists and researchers to effectively use complementary national resources, including at national laboratories and other user facilities (TACC, NCSA, SDSC, MSI, ALCF, OLCF, etc)
Data Management and Workflow Development
Help define and deploy a comprehensive computational and data vision for NU researchers
Participate in the development and implementation of backup policies
Participate in the integration of HPC and storage resources with research equipment such as sequencers, microscopes, etc.
Internal and External Documentation
Attend scientific, RC, or HPC centric conferences to explore technologies relevant to the mission of RC at NU
Interface with senior management to develop a documentation strategy (e.g. user manuals, interface documentation, etc.)
Communicate progress and participate in reviews with technical staff and senior management
Develop new and creative ways to engage the user community through both documentation, as well as through workshops and community events
Develop, present, and maintain training sessions and workshops relevant to RC services and resources
Mentor RC GRA and Co-op student workers
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.
Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.
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.
Founded in 1898, Northeastern University is a private research university located in the heart of Boston. Northeastern is a leader in worldwide experiential learning, urban engagement, and interdisciplinary research that meets global and societal needs. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools.