
Neuroscience Research Specialist
Há 7 dias
The Talent Acquisition department is seeking qualified candidates to fill a position contributing to the overall strategic success of our organization. Hiring staff for fit makes significant contributions to our overall mission.
Benefits:
- Comprehensive Health and Wellness Program: Medical, dental, and vision insurance, plus mental health support
- Flexible Work Arrangements: PTO, paid holidays, flexible work arrangements
- Competitive Compensation Package: Competitive salary, 403(b) with company match
- Ongoing Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
- Vibrant Company Culture: Wellness programs, commuter benefits, and a vibrant company culture
This role supports the program's mission to train researchers in advanced mathematics, data analysis, and bioinformatics for neurodegeneration research.
Key ResponsibilitiesThe Computational Research Fellow will participate in the Neurodegeneration Computational Fellows Training Program (NDCF), developing and applying computational skills in neuroscience research. Under the mentorship of host labs, the fellow will contribute to analyzing datasets related to neurodegenerative diseases, such as Alzheimer's, Parkinson's, or traumatic brain injury (TBI), advancing the understanding of disease mechanisms.
- Assist in analyzing datasets (e.g., MRI, genomic, or microbiome data) using computational tools under the guidance of a mentor, identifying patterns or biomarkers in neurodegenerative diseases.
- Learn and apply statistical or machine learning methods to support research on disease mechanisms, following lab protocols.
- Support data processing tasks, such as image analysis or sequence alignment, using provided software or scripts.
- Prepare research summaries and present findings at NDCF symposia, lab meetings, or external conferences.
- Contribute to team discussions, collaborating with lab members to integrate computational and experimental findings.
- Maintain accurate records of research activities and adhere to ethical standards in data handling and reporting.
The ideal candidate should have:
- Basic Familiarity with Programming: Basic familiarity with programming languages (e.g., Python, R) or data analysis tools, with a strong interest in learning advanced computational techniques.
- Analytical Thinking: Ability to approach complex datasets with curiosity and apply structured methods to derive meaningful insights under mentorship.
- Collaboration: Strong interpersonal skills to work effectively in interdisciplinary teams, including researchers, students, and faculty.
- Clear Communication: Clear written and verbal communication to present research progress and engage with scientific audiences.
- Adaptability: Eagerness to acquire new skills and adapt to evolving research tools and methodologies in a training-focused environment.
The candidate should have a Bachelor's or Master's degree in neuroscience, biology, computer science, bioinformatics, or a related field, along with some exposure to programming, data analysis, or neuroscience research through coursework, internships, or personal projects.
Additional RequirementsDemonstrated interest in neurodegeneration research and the ability to work collaboratively under mentorship guidance are required.
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