Associate Scientist

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The Hussman Institute has an exciting opportunity for an Associate Scientist (AS) position. The incumbent will work on the statistical genetic aspects of Alzheimer’s Disease (AD), as part of several multidisciplinary national and international consortiums. This position will focus on identifying genes and the mechanisms that influence AD risk or prevention, including admixture analysis of several population data sets. As a certified bioinformatician, the AS will also be involved in functional genomic analysis.

Primary responsibilities include data interpretation, manuscript preparation, training of postdoctoral and master’s level analysts, and reporting results to an international AD community.

• Contribute to basic and applied research activities including authorship of scientific publications, technical and agency reports, and patent preparations.
• Publish in refereed journals in collaboration with department leadership or independently.
• Supervise research employees and non‑exempt staff.
• Write extramural proposals with approval of senior managing staff.
• Create and conduct experiments and analyze results.
• Work with other researchers to use and develop end products.
• Provide ready access to all experimental data for faculty researchers, supervisors, and other relevant staff.
• Request or acquire equipment and supplies for assigned project(s).
• Apply for grants to continue research and prepare materials for submission to granting agencies and foundations.
• Adhere to University and unit-level policies and procedures and safeguard 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.

• Ph.D., M.D. or other doctoral level degree required.
• Minimum 5 years of relevant experience.

Lead and perform complex analyses of genome‑wide association and high‑throughput sequencing data with a focus on identifying risk and protective loci relevant to Alzheimer Disease and related dementias. Design and implement robust statistical frameworks for integrative genomic analyses, including 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 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 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.

Adhere to University and unit-level policies and procedures and safeguard University assets.

The University of Miami offers competitive salaries and a comprehensive benefits package, including medical, dental, tuition remission and more.

The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on categories protected by Federal law.  for additional information.

• Job Status:
  Full time
• Employee Type:
  Staff
• Pay Grade: A11
• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Research, Analyst, and Information Technology
• Industry: Higher Education