The Senior Computational Research Scientist leads, performs, and develops computational research projects under minimal supervision.
The Luber Lab in the Department of Radiology is working on developing agentic workflows and foundation models at hospital system scale to identify algorithmic interventions and target trials that reduce excess mortality with the lowest possible implementation overhead by ingesting EHR, imaging, and `omics data.
Job Responsibilities:
Lead computationally focused scientific research projects with minimal supervision from their PI. Develop new computational methods.
Identify, process, organize, interpret, review, and report relevant data.
Direct data collection.
Present research to colleagues within and outside the institution; draft a complex manuscript with minimal supervision, as required.
Regularly train and oversee the work of others in computational research and procedures.
Perform other duties as assigned to meet the goals and objectives of the department and institution.
Maintains regular and predictable attendance.
Minimum Education and/or Training:
Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field.
Master's degree or PhD preferred.
Minimum Experience:
Minimum Requirement: Bachelor's degree and 7+ years of relevant experience.
Experience Exception: Master's degree and 5+ years of relevant experience (OR) PhD with 2+ years of relevant experience.
Rough criteria for this position based on publication output: 1-2 first author papers IF > 10 (or equivalent contribution to other research outputs).
Prior experience in computational research techniques and processes.
Proven performance in earlier role/comparable role.
Special Skills, Knowledge and Abilities:
Ability to think critically, draw insights and connect the dots. Openness to change and adapting to changing times with resilience and flexibility.
Is able to apply knowledge/skills within own area to deliver tasks with limited guidance
Ability to look at data more critically and draw meaningful conclusions. Conducts root-cause analysis as needed. Quickly rebounds from setbacks, including creating viable plans to move forward. Helps others understand the need for change and adapt to it.
Skills in communicating complex ideas effectively to diverse audiences and influence others to see different points of view.
Effectively relays understanding of diverse perspectives. Can handle communication upwards and downwards as needed. Presents information in a clear, well thought out way and tailored to the audience.
Focus on setting high targets, following through with actions, and achieving results. Ability to anticipate roadblocks and circumvent challenges.
Shows support for the new direction even when the details have not been finalized. Uses a data-driven approach to spot early indications of underperformance and takes corrective actions. Celebrates successes. Works with partners in their function to find the best solutions that align with functional priorities. Works effectively to find solutions.
Knowledge of the scientific domain and the associated informatics subdomain; ability to translate between scientific and engineering domains.
Demonstrates strong knowledge/skills within area on a consistent basis to solve complex problems independently
Familiar with intermediate domain concepts relevant to work area. Routinely applies domain and data science subdomain knowledge to propose solutions to domain problems. Continues growing in domain knowledge using scientific journals, talks, and conferences. Can routinely use domain knowledge to assess quality of data/results at a coarse level. Can answer questions in the domain from early career staff. May contribute to publications and present work as required.
Ability to leverage skills in advanced statistical modeling/ machine learning/ coding/ software maintenance and other computational research procedures (e.g., computational pipelines, data…