Research Scientist III (Open to Internal Candidates Only)

• PhD in data science or closely related field with extensive experience in the application of bioinformatics across multidisciplinary areas of research.
• Prior experience providing bioinformatics consulting and research project design and analysis.
• Proficiency and demonstrated mastery of programming languages (e.g., R, Python).
• Strong communication and interpersonal skills.
• Extensive experience in the development and delivery of bioinformatics training.
• Knowledge of and experience in the development of cloud-based computing.
• Experience with molecular biology and NGS workflows and the ability to work closely with wet lab personnel for advising and troubleshooting protocols.
• Experience managing user accounts and installing software on HPC clusters/servers.

The University System of New Hampshire is an Equal Opportunity/Equal Access/Affirmative Action employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status.

• Experience with data analytics applications in engineering and the broad spectrum of genomic tools in the life sciences.
• Teaching experience at the university and K-12 levels.
• Demonstrated capability of developing new data analytic methods or adapting methods for new applications.
• Experience in multiple programing languages.
• Demonstrated ability to work in Linux and cloud computing environments.
• Experience in grant proposal development, including an understanding of data management policies and procedures to ensure data integrity and security.
• Experience in proteomics and image analysis workflows.

• Illumina NovaSeq 6000
• PacBio Sequel IIe
• NanoPore MinIon/GridIon
• High Performance Computing Cluster hardware and associated Linux-based operating systems.

• Under the general direction of the Data Science Core Director and the Deputy Director of the Research Computing Center, and under the immediate supervision of the Assistant Core Director, provide guidance to clients on all aspects of the "data life cycle" of research projects, including initial consultations, experimental design direct analysis of data, appropriate application of methodology and analyses and support for the management of data to meet the FAIR principles of data science.

• Provide supervision, training, and project management to technical staff, (including PAT staff, graduate student research assistants, and undergraduate student assistants) that are providing Bioinformatics support and data analytical services through the Data Science Core.

• Under the direction of the Department Chair and with the approval of the Dean, teach up to four credits of courses per year in bioinformatics and data science.
• In addition, create training materials, offer workshops and participate in outreach programs in statistics and data science, review current research program needs, and establish communications channels for current participants in research efforts.
• Oversee the management of the non-thesis masters degree in Bioinformatics.

• Assist in preparation of research proposals and estimates of budgets for service providers as required.

• Perform other duties as assigned.