Associate Scientist

University of Miami•Miami, FL

12d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

Focus on identification of risk and protective loci relevant to Alzheimer Disease and related dementias.
Statistical frameworks for integrative genomic analyses, including the identification of gene:gene and gene:environment interactions in multi-ancestry populations.
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.
Independent and collaborative publication of original research articles.
Collaboration with principal investigators to shape experimental design and analytical strategies.
Integration of emerging techniques in statistical genetics and computational biology.
Supervision, training, and instruction of fellows, students, and staff in computational genomics.
Seeking independent funding from federal agencies and foundations.
Participation and contribution to grant applications in large international consortia research collaborations.
Genetic and bioinformatic analysis of Alpha-1 Antitrypsin deficiency.
End-to-end statistical and bioinformatic analyses integrating large-scale genomic and clinical datasets.
Development and application of machine learning and large language model (LLM) approaches.
Building interpretable, clinically relevant predictive tools for disease diagnosis and risk stratification.

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.
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.