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Associate Scientist The University of Miami/UHealth Hussman Institute has an exciting opportunity for a Full Time, Associate Scientist to work in Miami.
Core Job Summary:The Associate Scientist, SOM supports the University's research goals and objectives by performing laboratory experiments in his/her areas of interest, expertise, or assignment. Moreover, the incumbent performs various analytical procedures involving method development and application development and synthesis.
Core Responsibilities:- Contributes to basic and applied research activities including authorship of scientific publications, technical and agency reports, and patent preparations.
- Publishes in refereed journals in collaboration with department leadership or independently.
- Supervises research employees and non-exempt staff.
- Writes extramural proposals with approval of senior managing staff.
- Creates and conducts experiments and analyzes results.
- Works with other researchers to use and develop end products.
- Provides ready access to all experimental data for the faculty researchers, supervisors, and other relevant staff.
- Requests or acquires equipment and supplies for assigned project(s).
- Applies for grants to continue research and prepares materials for submission to granting agencies and foundations.
- Adheres to University and unit-level policies and procedures and safeguards University assets.
This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.Core Qualifications: - Doctorate degree - Philosophy (PhD) required
- Minimum 5 years of relevant experience required
- Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
- Teamwork: Ability to work collaboratively with others and contribute to a team environment.
- Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
- Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
Department Specific Functions: - Lead and perform complex analyses of genome-wide association and high throughput sequencing data with particular focus on identification of risk and protective loci relevant to Alzheimer Disease and related dementias.
- Design and implement robust statistical frameworks for integrative genomic analyses, including the identification of gene:gene and gene:environment interactions in multi-ancestry populations
- Conduct functional bioinformatics and statistical analyses for interpretation of AD-associated loci and genes using computational pipelines developed in R, Python, or other appropriate computing language
- Publish original research articles both independently and in conjunction with the principal investigators
- Collaborate closely with principal investigators to shape experimental design and analytical strategies, ensuring reproducibility and high statistical rigor; suggest changes to current protocols that would enhance ability to complete project aims more readily
- Maintain active engagement with the scientific literature to integrate emerging techniques in statistical genetics and computational biology into ongoing projects
- Supervise, train and instruct fellows, students, and staff in computational genomics, emphasizing best practices in statistical modeling, reproducible research, and open-source software development.
- Seek independent funding from federal agencies and foundations for original research efforts with the appropriate guidance from institute leadership
- Participate and contribute to grant applications in large international consortia research collaborations as MPI or Co-Investigator to advance the understanding of complex disease with focus on Alzheimer Disease and related dementias
- Genetic and bioinformatic analysis of Alpha-1 Antitrypsin deficiency.
- Design and execute end-to-end statistical and bioinformatic analyses integrating large-scale genomic and clinical datasets to identify genetic contributors to disease risk within the All of Us Research Program secure Researcher Workbench environment using R and/or Python.
- Develop and apply machine learning and large language model (LLM) approaches to build interpretable, clinically relevant predictive tools for disease diagnosis and risk stratification.
- Adhere to University and unit-level policies and procedures and safeguards University assets
The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
Job Status:Full time
Employee Type:Staff
