Sr. Research Software Engineer

University of Miami • Coral Gables, FL • 4h ago

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here (https://www.myworkday.com/umiami/d/task/1422$7248.htmld) 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 (https://my.it.miami.edu/wda/erpsec/tipsheets/ER\eRecruiting\ApplyforaJob.pdf) .

The University of Miami, a global leader in research and innovation, is seeking a highly skilled and motivated Sr. Research Software Engineer to support and drive advanced research initiatives in data science and analytics. This position plays a critical role in executing complex, interdisciplinary research projects that leverage critical infrastructure domain knowledge, machine learning, AI, and big data methodologies to generate transformative insights.

CORE JOB SUMMARYThe Sr. Research Software Engineer is a subject matter expert at using large data sets to find opportunities for product and process optimization, using models to test the effectiveness of different courses of action. In addition, uses a variety of data mining and analysis methods, using a range of data tools, building and implementing models, using and creating algorithms and creating and running simulations. Moreover, the Sr. Research Software Engineer provides recommendations to drive business results with data-based insights, and influences a wide range of stakeholders and functional teams.CORE JOB FUNCTIONS

Collaborates with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Leads and executes high-impact research projects in data science, focusing on areas such as machine learning, artificial intelligence, and big data applications.

Mentors and supports cybersecurity research team members in the application of advanced data analytics techniques.

Applies advanced statistical, computational, and data visualization techniques to solve complex interdisciplinary challenges.

Collaborates with faculty, research teams, and external partners (academic and industry) on funded research initiatives.

Contributes to securing external research funding through proposal development and grant writing.

Publishes research findings in top-tier academic journals and present at leading conferences.

Supports a collaborative, inclusive research environment that fosters innovation and knowledge sharing.

Collaborates with faculty, researchers, and external partners, contributing to groundbreaking research that supports the University's mission of advancing data-driven discovery and innovation.

Leads the development of a state-of-the-art data portal for the storage, management and analysis of multidimensional and diverse datasets.

Leads the development of pipelines and workflows for the integration of publicly available datasets with the developed infrastructure.

Performs active project management to develop the Data Portal and other tools, coordinating the timely implementation of user requirements, technical specifications and user feedback.

Leverages state-of-the-art big data and AI approaches and develops computational algorithms and workflows for the identification of novel targets and appropriate prioritization.

Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

Leads the assessment of effectiveness and accuracy of new data sources and data gathering techniques.

Develops custom data models and algorithms to apply to data sets.

Uses predictive modeling to increase and optimize customer experiences, operational efficiencies, and other business outcomes.

Leads different functional teams to implement models and monitor outcomes.

Develops processes and tools to monitor and analyze model performance and data accuracy.

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:

Bachelor's degree in relevant field in Data Science, Computer Science, Applied Mathematics, Engineering, or a related field.

Certification and Licensing:

Certification(s) in Cybersecurity is preferred, specifically related to Operational Technology cybersecurity and at least one critical infrastructure field.

Experience:

Minimum 4 years of relevant experience in applied research and data analytics. Any appropriate combination of relevant education/or work experience may be considered.

Knowledge, Skills and Attitudes:

Proven expertise in machine learning, statistical modeling, and data visualization.

Strong programming skills (e.g., Python, R, SQL, or similar).

Experience working with interdisciplinary research teams and external stakeholders.

Excellent communication, mentorship, and collaboration skills.

Experience in applying data science to public and private sector critical infrastructure cybersecurity or related fields.

Knowledge of cloud computing platforms and big data frameworks (e.g., AWS, Hadoop, Spark).

Familiarity with research and technology innovation environments.

Ability to maintain effective interpersonal relationships.

Ability to communicate effectively in both oral and written form.

Skill in collecting, organizing and analyzing data.

Proficiency in computer software (i.e. Microsoft Office).

Ability to work independently and/or in a collaborative environment.

LI-TR1

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 (https://www.hr.miami.edu/careers/eo-ada/index.html) for additional information.

Job Status:

Full time

Employee Type:

Staff

Pay Grade:

A14

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