Advanced Computational Lab Manager- RNA Institute(P12-29043)

About University at Albany:

Established in 1844 and designated a University Center of the State University of New York in 1962, the University at Albany’s broad mission of excellence in undergraduate and graduate education, research and public service engages 17,000 diverse students in ten schools and colleges across three campuses.

Located in Albany, New York, New York State’s capital, the University is convenient to Boston, New York City and the Adirondacks.

Job Description:

Research Associate

This is a full-time, 10-month calendar year research staff position directly supporting the research of The RNA Institute reporting to Dr. Paul F. Agris, Director of The RNA Institute. The RNA Institute Advanced Computational Facility is located within a 15,000 sq. ft. suite of research lab space and Advanced Instrumentation Facilities that serve as a centralized, shared-use resource for faculty, staff and students, offering advanced tools in structural biology, imaging and bioinformatics; structure and predictive structure determination; macromolecular and small molecule interactions for drug discovery; thermodynamics; microscopy and cell biology image analysis and enhancement; and bioinformatics. The Facility is equipped with an extensive high-performance compute (HPC) infrastructure (GPU and CPU). The RNA Institute at the University of Albany invites applications for a Computational Facility Manager from highly motivated individuals interested in RNA, RNA/RNA and RNA/protein interactions as related to the control of gene expression and human diseases including, infectious, neurodegenerative and cancers. The position provides computational research activities for the Institute and its affiliated researchers, teaching program and computing facility.

  • Responsible for team leadership in The RNA Institute’s Advanced Computational Facility providing support to corporate partnerships, affiliated researchers, and collaborators
  • As a key part of the scientific discovery process, learn and adapt technologies, provide computational analysis, integrate, innovate and deliver results supporting human disease research
  • Interact with researchers, supervise and train students, throughout the entire experimental process providing data analysis support and biological interpretation of analysis results to collaborative research activities making findings available through presentations and written reports.
  • Contribute as a team member to scientific publications as well as participate in the preparation of joint grant applications and reports
  • Manage staff providing similar types of assistance in an exciting multi-project, interdisciplinary environment supporting leading research spanning multiple research interests
  • Coordinate, integrate and utilize applications and databases made available by The RNA Institute’s Advanced Computational Facility through a web portal
  • Collaborate with peer researchers in the RNA community and Institutional partners
  • Work with Director and Computational researchers of The RNA Institute to develop and execute a developmental roadmap to accommodate new initiatives and technologies
  • Participation in collaborative equipment grants will be a core responsibility to secure future growth of the facility’s computing resources


Minimum Qualifications:

  • Ph.D. in Computer Science with relevant experience in biological/chemical science or a Ph.D. in Biology/Chemistry combined with relevant experience in computer science from an accredited U.S. university or the equivalent from a foreign university
  • Three (3) or more years of related experience in computational biology is required along with one (1) year prior supervisory experience in a team-oriented, collaborative, multi-project environment
  • Professional hands-on experience with structure prediction/determination, macromolecular interactions, large-scale data analysis, scientific data programming and high-performance computing
  • A strong publication record in research in collaboration with experimental biologists/biological chemists
  • Several years of professional hands on experience with common programming languages/environments; this includes at least one statistical programming environment, one or more general-purpose scripting languages (e.g. Python, Perl or Ruby), software application development, experience with web development frameworks, and relational database design/administration
  • Several years of hands on computational research experience using HPC systems, commercial and open-source bioinformatics and genomics analysis software, including integration with data available from public sources
  • The incumbent should have hands-on experience with molecular dynamics simulation analysis, modern docking analysis with use of modern biological data sets, such as those of the PDB, microarrays, next generation sequence data (e.g. genotyping, RNA profiling, de novo assemblies), and phylogenetics Project management experience.
  • Applicants must possess excellent organizational, verbal and written skills and interpersonal skills and must address in their applications their ability to work with and instruct a culturally diverse population.

Preferred Qualifications:

  • Experience managing structural biology, imaging and bioinformatics projects, project tracking, and upstream experimental design
  • Experience in molecular biology technologies
  • Experience in statistical analysis of high throughput biological data using R
  • Experience in data integration, database construction, application development and visualization
  • Proficiency in Unix (linux), batch HPC environments, force field parameterization scripting, and programming is highly desirable
  • Experience training others in computational structural biology, image analysis and enhancement and bioinformatics technologies is also highly desirable

Additional Information:

Professional Rank and Salary Range:  Salary is based on established R2 range, commensurate with experience

Special Notes:  This is a state funded 10-month calendar year position with the possibility of renewal dependent on successful scientific progress, publications and availability of funding.

A review of applications will begin immediately and the search will remain open until the position is filled.

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Please apply online via

Application Instructions:

Applicants MUST submit the following documents:

  • Cover letter detailing experience and interests
  • Curriculum Vitae with detailed list of publications
  • Contact information for 3 references

Note: After submitting your CV, the subsequent pages give you instructions for uploading additional documents (i.e. cover letter etc.).

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