BFX Post Doctoral Associate at University of Miami in Miami, Florida

Posted in Other 6 days ago.





Job Description:

Current Employees:
If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet .

Transforming Lives

The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida.

With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe.

The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service.

The Center for Computational Science (CCS) has an exciting job opportunity for a BFX Post Doctoral Associate at the Coral Gables Campus.

CORE JOB SUMMARY

The Institute for Data Science and Computing is seeking to hire a Post Doctoral Associate to work on sponsored projects involving cancer related studies. The Post-Doctoral Associate is expected to collaborate with Principal Investigators on a sponsored project, performing analyses and inference using genomic and electronic records jointly with other types of clinical datasets, especially radiomic. The Post-Doctoral Associate is also expected to promote institutional recognition through literal contributions to the scientific community.



CORE JOB FUNCTIONS
  • Conducts research on cancer patient data under the supervision of the principal investigator.
  • Performs data analytics, build models, test algorithms, and validate results using various datasets, both experimentally generated and publicly available.
  • Investigates the feasibility of applying a wide variety of scientific principles and theories from statistics, machine learning, networks, big data.
  • Maintains substantial knowledge of state-of-the-art principles and theories applicable to biomedical data.
  • Prepares research reports and technical papers for publishing.
  • 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

Education:

A Ph.D. in computational biology is highly preferred, other related fields like computer science, applied mathematics and statistics, engineering are acceptable. Strong computational background is required. Experience analyzing patient-related data and especially image data.

Experience:

Experience and/or familiarity with the analysis of clinical data (electronic records) is required. Enrollment or participation to cross-disciplinary programs (complex systems, data science, computational science and similar) is desired.

Knowledge, Skills and Attitudes:
  • The main analytical (data and model driven) and technical (software design and tool development) tasks require expertise and mastering of standard packages (i.e., R, Matlab and Python and machine learning tools).
  • Solid programming skills in standard environment using R or similar tools that contribute to tool development.
  • Skill in collecting, mining, analyzing and interpreting data and ability to tackle a variety of data-driven problems.
  • Ability to exercise sound judgment in making critical decisions.


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 certain categories protected by Federal law. Click here for additional information.

Job Status:
Full time

Employee Type:
Staff

Pay Grade:
r5