Research Scientist III

SD School of Mines, United States

Updated: 4 months ago
Location: Rapid City, SOUTH DAKOTA
Deadline: ;

Posting Details
Posting Details


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Institution SD School of Mines
Working Title Research Scientist III
Posting Number NFE02053P
Department SDSMT-Karen M. Swindler Chemical and Biological Engineering
Physical Location of Position (City) Rapid City
Posting Text
The Department of Chemical and Biological Engineering at the South Dakota School of Mines & Technology seeks a Computational modeling expert to be appointed at the level of Research Scientist III in a temporary grant funded position. The recruited Research Scientist is expected to apply his/her analytical, biological, and computational skills and contribute to developing and implementing computational Metabolic Network Modeling. The work will require participation in a range of activities, including (1) The ability to collect and analyze multi-omics data, (2) the ability to integrate multi-omics data (genomics, transcriptomics, and/or proteomics) to develop models of metabolism in individual microbial hosts with specific reaction-diffusion equations to identify novel metabolites and bioproducts, (3) use the scientific literature to generate and examine cross-disciplinary and cross-cutting research questions related to metabolic/process modeling, (4) present scientific data at internal & external meetings/conferences and publish results in peer-reviewed journals, and (5) mentor and provide hands-on training to other team members to accomplish project goals. In addition, the candidate will also be encouraged to work with PI to identify additional (project) opportunities to support their scientific and professional development. Above all, ideal candidates should be creative problem-solver and may perform other duties and responsibilities as assigned or directed by the supervisor. 
 
Candidates will have an earned doctorate in Computational Biology, Computer Science, Data Science, Bioinformatics, Chemistry, Chemical and Biological Engineering, Mathematics, or a closely related discipline at the appointment time. 1 to 3 years of related experience is required. The successful applicant should have an excellent publication record in relevant fields. Previous advising and mentoring students in projects and a strong record of multi-disciplinary collaboration are highly desirable. The desired start date is August 2023. Preference will be given to candidates with prior knowledge and research interest in applying Bioinformatics, Functional genomics, Data Science, Artificial Intelligence, and/or Machine learning for Advanced biomanufacturing, Biomaterials/biomolecules, or Lignocellulosic bioprocessing.
 
South Dakota Mines is a best-in-class STEM university that offers bachelor’s, master’s and doctoral degrees located in Rapid City, the state’s second largest city with a MSA population of 148,933. With 226 days of sunshine, 1.2 million acres of breathtaking scenery of the Black Hills National Forest, 700 miles of motorized trails and nearly 500 miles of hiking trails, there is a lot to see and do. People from around the world come here each year to see top attractions like Mount Rushmore National Memorial, Crazy Horse Memorial, Badlands National Park, Terry Peak Ski Area, and Reptile Gardens. There’s something for everybody!
 
At Mines, our vision is to develop world-class leaders in science and engineering to benefit society through education, innovation, and engagement. Nearly 2,500 students from every state and 43 countries are represented on our campus. Mines is an affordable option with a great return on investment. 
 
Known for our academic rigor, we maintain an average class size of 24 and our students benefit from immersive learning experiences including undergraduate research, co-ops/internships, and nationally competitive engineering teams. These experiences make graduates highly sought after by industry and attributes to high starting salaries and 97% placement rate in the field of study.
 
Research at Mines encompasses four main areas: energy and environment; materials and manufacturing; STEM education; and underground science and engineering. Entrepreneurship is highly-valued and programming assists students and faculty to engage in entrepreneurial activities and transition scientific and technological innovations into viable products and business startups.
 
South Dakota Mines is committed to recruiting and retaining a talented workforce and offers an excellent comprehensive benefits package including medical, dental, vision, and life coverage options for employees, spouses and dependents; retirement plans; paid holidays; and a generous vacation and sick day allowance. Individuals interested in this position must apply online at https://www.sdsmt.edu/employment/. Human Resources can provide accommodation to the online application process and may be reached at (605) 394-1203. Review of applications will begin July 07, 2023 and will continue until the position is filled. Employment is contingent upon completion of a satisfactory background investigation.
Please attach a cover letter, resume, and list of three professional references (include name, mailing and email address for each reference).
Posting Date 06/09/2023
Closing Date
Open Until Filled Yes
First Consideration Date 07/07/2023
Advertised Salary
Duration of the Term 12 months
If Other, describe duration
Appointment Percent 100
Work Hours
Typical Hours Worked Per Week
Appointment Type Temporary
Faculty Status No
Scope of Search External (includes Internal)
If internal, define scope of search CBE Graduate
This position requires Travel, Overnight stays
If other, please indicate
Department Description and Cultural Expectations
Chemical and Biological Engineering (CBE) has BS and MS in Chemical Engineering , and PhD in Chemical and Biological Engineering (https://www.sdsmt.edu/cbe/).
Equal Employment Opportunity Statement
South Dakota Mines does not discriminate on the basis of sex, race, color, creed, national origin, ancestry, citizenship, gender, gender identification, transgender, sexual orientation, religion, age, disability, genetic information or veteran status in employment or the provision of service.
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