Software Scientist Department of Computer Science Wheeler Lab

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Software Scientist, Department of Computer Science (Wheeler Lab)
The
Wheeler Lab
at **MEMBERS ONLY**SIGN UP NOW***., Missoula invites applications for a
Software Scientist.
The position is supported by both NIH and DOE federal grants to develop Machine Learning approaches in support of genome annotation. The successful applicant will join a research group that includes 7 graduate researchers, three staff software engineers, and a staff bioinformatician. The role of this position is primarily focused on the development of software that drives and translates lab research successes into enterprise-grade software, with an emphasis on Machine Learning and Data Visualization. The selected candidate will engage in complex software development tasks at an expert level – their efforts will be mixed between (i) leading development of novel Deep Learning strategies for biological sequence annotation and functional prediction, (ii) translating software developed by graduate students into enterprise grade software for widespread public release, and (iii) mentoring and development of junior researchers in the Wheeler lab.
Projects in the Wheeler lab are broad, ranging from statistical modeling of biological sequence families, algorithm design, to low-level software optimization, to FPGAs, to Deep Neural Networks, to Natural Language Processing, to web services; from genomes, to proteins, to infectious disease, to drug discovery, to animal behavior in videos. Experience with genomics data analysis is not required, but are a plus. As the developer gains experience in the research domain, there will be opportunity to influence project directions, and optionally to aid in development of future grant applications.
The Wheeler lab is home to a diverse and highly interactive group of researchers. It sits in the Department of Computer Science at **MEMBERS ONLY**SIGN UP NOW***. ( cs.umt.edu
), and is closely affiliated with the Division of Biological Sciences ( hs.umt.edu/dbs
). Missoula is a great college town located in the heart of the Rocky Mountains with an exceptional quality of life. For further information on this position and our research, please contact Dr. Wheeler directly at ****
UM is an Affirmative Action/Equal Opportunity employer and has a strong institutional commitment to the principle of diversity in all areas. In that spirit, we are particularly interested in receiving applications from a broad spectrum of qualified people who would assist the University in demonstrating its five priorities for action
: Place student success at the center of all we do; drive excellence and innovation in teaching, learning, and research; embody the principle of “mission first, people always; partner with place; and proudly tell the UM story.
Position Details
Position is full-time, 1.0 FTE, Letter of Appointment and includes a comprehensive and competitive benefits package
including Insurance package, mandatory retirement plan, partial tuition waiver, and wellness program.
Salary for this position is $60,000 - $80,000 per year, commensurate with qualifications.
Required Qualifications
Bachelor’s degree in computer science, data science, computational biology, bioinformatics, genomics, or related field; at least two (2) years of Machine Learning research experience.
Preferred Qualifications
Master’s degree in computer science or related field, especially with research in development and application of Deep Learning methods.
Experience working with Agile methodologies (continuous integration, unit testing, iterative development).
Candidates should be comfortable collaborating with technical leadership and end-users, as well as mentoring of junior developers.
Prior experience in the development of computational genomics methods is desirable.
We seek applicants who value people, teamwork, trust, integrity, and product excellence.
About UM
and the Computer Science Department
**MEMBERS ONLY**SIGN UP NOW***. is a unit of the Montana University System with more than 11,000 undergraduate and graduate students and 500 full-time faculty members. It is located in Missoula, a culturally vibrant community of about 80,000, surrounded by mountain grandeur that was recently ranked in the “ top 10 best college towns with a population of less than 250,000
” by the American Institute for Economic Research and ranked 9
th
in Outside Magazine’s “ The 16 Greatest Places to Live in America
” in 2014. Many national publications recognize Missoula for its high quality of life
. Abundant recreational opportunities in surrounding state and national forests and nearby Glacier National Park and Yellowstone National Park complement a thriving intellectual atmosphere.
The Computer Science Department at University of Montana-Missoula dedicates itself and its resources to the growing utility of computers in research and education, as well as the increased impact of computers on our modern society. Our primary mission is to offer degrees (major, minor, graduate) for students who want to pursue a career in this discipline. Primary objectives of our curriculum include:
Develop professionally competent and broadly educated computer scientists who wish to pursue professional careers or graduate studies
Mentor students and provide them with opportunities to engage in CS research, and
Teach students how to think computationally and engage in problem solving and critical analysis.
To learn more about **MEMBERS ONLY**SIGN UP NOW***., Missoula, and the State of Montana, please visit the links below.
University of Montana
University Highlights
City of Missoula
Criminal Background Investigation is required prior to Offer of Employment.
In accordance with University policy, finalists for this position will be subject to criminal background investigations.
ADA/EOE/AA/Veteran's Preference.
Reasonable accommodations are provided in the hiring process for persons with disabilities. For example, this material is available in alternative format upon request. As an Equal Opportunity/Affirmative Action employer, we encourage applications from minorities, veterans, and women. Qualified candidates may request veterans’ or disabilities preference in accordance with state law.
References
*References not listed on the application materials may be contacted; notice may be provided to the applicant.
Testing
Individual hiring departments at UM may elect to administer pre-employment tests, which are relevant to essential job functions.
E mployment Eligibility.
All New Employees must be eligible and show employment eligibility verification by the first date of employment at UM, as legally required (e.g., Form I-9).

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