Research Assistant I / Body Imaging Research
UT MD Anderson · Houston, TX · 1 mo ago
HybridAnalystFull-time
We need to output HTML fragment with sections: About the role? The posting includes description about mission, role. Use . We'll need to parse each line.
Let's extract responsibilities:
Research Operations
- Conduct research experiments supporting body imaging and radiology research initiatives
- Evaluate and assist with implementation of machine learning and artificial intelligence techniques for abdominal organ segmentation
- Identify appropriate clinical cases for evaluation using advanced imaging analysis techniques
- Assign tumor staging according to recognized guidelines with minimal oversight from faculty or research staff
Data Collection & Analysis
- Gather, record, and evaluate research data in accordance with requested methodologies
- Collect and manage data from hospital information systems
- Perform data gathering, organization, and analysis to support research initiatives
- Support interpretation of clinical, translational, and outcomes research findings
Research Development & Publications
- Conduct literature searches to support research protocols and project development
- Assist in drafting grant proposals to obtain funding for future research efforts
- Design educational exhibits to support scientific and educational initiatives
- Prepare abstracts, manuscripts, and other scholarly communications for dissemination
Regulatory & Compliance Activities
- Draft preliminary Institutional Review Board (IRB) submissions
- Support research activities in accordance with applicable guidelines and study protocols
- Maintain accurate documentation and research records
Collaboration & Service
- Collaborate with principal investigators, radiologists, and multidisciplinary research teams
- Demonstrate analytical thinking to gather information systematically and support sound decision-making
- Apply innovative thinking to identify new ideas, solutions, and research approaches
- Demonstrate technical expertise and maintain current knowledge relevant to radiology research
- Provide professional, timely, safe, ethical, accountable, efficient, and innovative service to stakeholders while adhering to institutional policies and standards of conduct
Now Requirements: There's a "Work Experience Required:" and "Preferred:" etc. Also "Other Requirements" with analytical thinking etc. Also "EDUCATION Required:" and "WORK EXPERIENCE Required: None". Also "Other Requirements" includes analytical thinking etc.
We need to separate Requirements vs Qualifications vs Skills. The instruction: Use headings for Requirements, Qualifications, Skills. We need to decide what goes where.
Typically: Requirements = mandatory (required). Qualifications = preferred qualifications. Skills = maybe technical skills? But we can map.
We have:
Required:
- Prior training in radiology, including residency training or equivalent clinical experience, demonstrated knowledge of diagnostic imaging modalities, radiologic anatomy, and image interpretation, strong interest in clinical, translational, or outcomes research in radiology, experience with research data collection, management, analysis, and interpretation, proficiency in Microsoft Excel, including advanced formulas, pivot tables, data visualization, and data management, strong analytical, organizational, written, and verbal communication skills with the ability to prepare scientific manuscripts, abstracts, grant applications, and presentations, and ability to work independently while collaborating effectively within multidisciplinary clinical and research teams
Also EDUCATION Required: Bachelor's Degree Natural Science or Applied Science in a research-related discipline.
WORK EXPERIENCE Required: None (but we have prior training in radiology required; maybe they consider that as experience). We'll keep education requirement.
Other Requirements (analytical thinking etc.) maybe also required.
Preferred:
- Experience with programming languages such as Python, R, MATLAB, SQL, or similar tools for data analysis, automation, and research workflows
- Experience with research databases (e.g., REDCap), electronic medical records, and large imaging datasets
- Knowledge of Good Clinical Practice (GCP), Institutional Review Board (IRB) processes, HIPAA, and human subjects research regulations
- Previous authorship on peer-reviewed publications or presentations at scientific conferences is desirable
- Familiarity with statistical analysis methods and statistical software (e.g., R, SPSS, SAS, or Stata)
Also "Why Us?" section about benefits? Actually there is a "Why Us?" paragraph describing opportunity. That's more about role but could be part of About the role.
Benefits: There's a paragraph: "Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance. Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options. Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups. Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs."
Also earlier: "The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition."
We need Benefits section only if posting actually states them. Yes they do. So we will include Benefits.
Pay: There's salary range: Minimum Salary: USD 39,500 Midpoint Salary: USD 49,500 Maximum Salary: USD 59,500. Also FLSA: non-exempt and eligible for overtime pay. So we can include Pay section with that info.
Schedule: There's "Work Week: Days" maybe? Actually "Work Week: Days" under Additional Information. Also "Employment Status: Full-Time". "Work Location: Hybrid Onsite/Remote". So schedule maybe not explicit. There's no specific schedule like "Monday-Friday 9-5". We might not include Schedule unless there is real content. The posting says "Work Week: Days" ambiguous. Could interpret as full-time days. But it's vague. Better to omit Schedule if not specific.
We also have "Other Requirements" like analytical thinking etc. Those could go under Skills or Requirements. Since they are required competencies, maybe under Requirements.
We need to avoid filler like "commensurate with experience". Not present.
We must not repeat job title as heading.
We must not include boilerplate like EEO etc. Remove that.
We must not include application instructions.
Now construct HTML.
We'll have sections:
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections where there is real specific content. We must not repeat job title as heading. No Job ID etc. Remove boilerplate. We need to preserve all substantive info. Let's parse content: Mission description: "The University of Texas MD Anderson Cancer Center is dedicated to eliminating cancer...". That's about the role? Could be "About the role". We'll put that in
. Then description of role: "The Research Assistant I role supports this mission by contributing to innovative radiology research..." etc. Could also be part of About the role. We'll combine into About the role section. Responsibilities: There's a big list under "Responsibilities" heading with subcategories: Research Operations, Data Collection & Analysis, Research Development & Publications, Regulatory & Compliance Activities, Collaboration & Service. Each has bullet points (though not bullet formatted but lines). We'll need to convert each bullet into
About the role
... (mission description and role description)
Responsibilities
- ... each bullet
Requirements
- ... required items (education, prior radiology training, experience, proficiency in Excel, analytical/communication skills, ability to work independently/collaborate, analytical thinking etc.)
Qualifications
- preferred qualifications
Skills
- technical skills like programming languages, statistical software, etc.