Neurosurgery Staff Scientist

StartupNWA; Arkansas; Presencial; USD 85 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Benefits eligible

Resumo da oferta

University of Arkansas for Medical Sciences in Arkansas is seeking staff scientists at various levels to advance clinical neurosurgery research from data collection to publication.

You will collaborate with clinical investigators to analyze biological data, maintain computing systems, and contribute to scientific writing and manuscript preparation. This role emphasizes analytical skills and scientific collaboration within a dynamic research team.

Qualificações

• Master’s Degree + 2 years of relevant experience; postdoctoral fellowship preferred.
• Doctoral degree + 4 years of relevant experience; postdoctoral fellowship and grant-writing preferred.
• Doctoral degree + 7 years of relevant experience with project management and supervision; postdoctoral fellowship preferred.
• Doctoral degree + 10 years of relevant experience with project management, supervision, and grants contributions.

Responsabilidades

• Analyze biological/physiological data from clinical neurosurgery research studies using R, Python, and/or MATLab.
• Develop and maintain scripts/pipelines for data processing, cleaning, and statistical analysis.
• Build, configure, and maintain laboratory computer systems and data infrastructure for clinical research.
• Assist with acquisition, processing, and quality control of clinical research data (e.g., EEG, other digital signal data).
• Support manuscript preparation: literature review, drafting/editing sections, figure and table generation, formatting for journal submission.
• Collaborate with clinical investigators and research team members on study design, data interpretation, and reporting.
• Maintain organized documentation of code, datasets, and analysis methods for reproducibility.
• Assist with grant progress reports and conference abstract/poster preparation for clinical studies as needed

Conhecimentos

R

Python

MATLab

Lab computer systems

Formação académica

Master's Degree

Doctoral degree

Descrição da oferta de emprego

Join our talent network, explore companies and search for jobs. Employment is abundant, commutes are short, and the region is filled with a sense of possibility, a place where you can have a real impact.

Closing Date: 12/01/2026

Job Type: Regular

Sponsorship Available: No

Institution Name: University of Arkansas for Medical Sciences

Department: COM | Neurosurgery Research Staff

Summary of Job Duties: Advance Research. Support Discovery. Make an Impact.

Join the UAMS Department of Neurosurgery as an Assistant, Associate, Principal, or Senior Staff Scientist and help move clinical research from data collection to publication.

In this role, you’ll collaborate with clinical investigators to analyze biological and physiological data, maintain laboratory computing systems, and contribute to scientific writing and manuscript preparation. Bring your analytical skills, technical expertise, and passion for discovery to a team advancing clinical neurosurgery research.

Help turn complex data into meaningful scientific insights—apply today!

Qualifications:

• Assistant Staff Scientist -Master's Degree plus 2 years of relevant experience. Postdoctoral fellowship experience preferred.
• Associate Staff Scientist -Doctoral degree and 4 years of relevant experience, including progressive staff and project management experience. Postdoctoral fellowship and experience assisting in grant‑writing preferred.
• Principal Staff Scientist - Doctoral degree and 7 years of relevant experience; including significant project management experience, personnel supervision, and editorial and scientific contributions to grants. Postdoctoral fellowship experience preferred.
• Senior Staff Scientist - Doctoral degree and 10 years of relevant experience; including significant project management experience, personnel supervision, and editorial and scientific contributions to grants. Postdoctoral fellowship experience preferred.

Knowledge, Skills and Abilities:

• Demonstrated proficiency in R, Python, and/or MATLab for biological/scientific data analysis
• Strong coding/programming ability
• Experience building and/or maintaining laboratory computer systems
• Strong scientific writing skills and ability to contribute to manuscript preparation

Preferred Qualifications

• Experience with EEG acquisition and human digital signal processing
• Prior experience in a clinical/neurosurgery research setting
• Familiarity with reproducible research practices (version control, documented pipelines)
• Experience contributing to peer‑reviewed publications

What You'll Be Doing (Responsibilities):

• Analyze biological/physiological data from clinical neurosurgery research studies using R, Python, and/or MATLab
• Develop and maintain scripts/pipelines for data processing, cleaning, and statistical analysis
• Build, configure, and maintain laboratory computer systems and data infrastructure for clinical research
• Assist with acquisition, processing, and quality control of clinical research data (e.g., EEG, other digital signal data)
• Support manuscript preparation: literature review, drafting/editing sections, figure and table generation, formatting for journal submission
• Collaborate with clinical investigators and research team members on study design, data interpretation, and reporting
• Maintain organized documentation of code, datasets, and analysis methods for reproducibility
• Assist with grant progress reports and conference abstract/poster preparation for clinical studies as needed

Salary Information: Commensurate with education and experience

Benefits Eligible: Yes

Required Documents to Apply: Cover Letter/Letter of Application, Curriculum Vitae, Licence or Certificate (see special instructions for submission instructions), Proof of Veteran Status, Resume, Unofficial/Official Transcript(s)

Optional Documents:

(none listed)

Special Instructions to Applicants:

(none listed)

Pre‑employment Screening Requirements:

This position is subject to pre‑employment screening (criminal background, drug testing, and/or education verification). A criminal conviction or arrest pending adjudication alone shall not disqualify an applicant except as provided by law. Any criminal history will be evaluated in relationship to job responsibilities and business necessity. The information obtained in these reports will be used in a confidential, non‑discriminatory manner consistent with state and federal law.

The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University’s Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All application information is subject to public disclosure under the Arkansas Freedom of Information Act.

For general application assistance or if you have questions about a job posting, please contact Human Resources at [e-mail].