Open Rank Clinical Data Coordinator (Entry – Senior)

We need to output HTML fragment with sections: About the role? The job summary is a prose paragraph. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections with real specific content. We have job summary (About the role). Responsibilities: list of key responsibilities. Requirements? There's "Minimum Qualifications" and "Preferred Qualifications". Could treat as Qualifications. Also Knowledge, Skills and Abilities could be Skills. Benefits: described. Pay: salary range given. Schedule: Full-time mentioned. Work location maybe not a heading; we could include in About the role or maybe not needed. We must not repeat job title as heading. No Job ID/requisition numbers as headings; we can embed in a short p. We must remove boilerplate: EEO, ADA, Background Check, Vaccination, How to Apply, etc. Also remove navigation, cookie, legal. Also remove "Why Join Us" maybe we can incorporate into About the role? It's substantive but not a required heading; we could include as part of About the role paragraph. But we must preserve all substantive information; we can't discard "Why Join Us" content. So we need to include that info somewhere. Could be part of About the role or a separate section like "About the Department". But we only have allowed headings list; we could add a custom heading? The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., implying those are examples but we should use those headings when appropriate. It doesn't forbid other headings, but says "use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." Likely they expect us to use those headings only. So we should map content to those headings. "Why Join Us" could go under About the role or Benefits. Benefits already covers benefits; Why Join Us includes research funding and perks; we could incorporate into About the role paragraph. We need to preserve all substantive information: job summary, responsibilities, qualifications (min/preferred), knowledge/skills/abilities, benefits, pay, schedule, work location, funding details, etc. We must not include sections with filler like "commensurate with experience". Not present. We need to output only HTML fragment, no /, no markdown. Let's craft:

About the role

Job summary paragraph plus why join us details.

Then Responsibilities as

• ... Then Qualifications: maybe combine Minimum and Preferred under Qualifications heading. Could split into Minimum Qualifications and Preferred Qualifications as subheadings? But only allowed headings list; we could still use

  for Qualifications and inside have

  for minimum and

  for preferred, or use

  . We'll preserve details. Then Skills: Knowledge, Skills and Abilities. Then Benefits: list of benefits. Then Pay: salary ranges. Then Schedule: Full-time. Also include Work Location maybe in About the role paragraph. We must not include Job ID/requisition numbers as headings; we can embed them in a short p maybe under About the role. Let's extract details. Job Summary: "Clinical Data Coordinators perform key roles in gathering clinical data and ensuring high degrees of comprehensiveness, accuracy, and fidelity. They establish and maintain patient databases crucial for successful academic clinical research and basic science pursuits involving patient samples and information. Additionally, they have intimate knowledge of data transfer mechanisms and usage, thus can inform strategies to streamline these processes through computational and artificial intelligence-based approaches. This Clinical Data Coordinator position is unique in that it is part of a pilot program for a campus-wide initiative to better harness clinical data. The position is funded for one (1) year as a proof-of-principle, with the potential for prolonged extension if successful. The position is funded in collaboration with a bio-tech company (Refined Science) embedded on the University of Colorado campus, with the opportunity to help develop translational tools applicable to both academic and industry data projects. The coordinator will work closely with our clinical trials unit and the clinical data team at Refined Science to further develop skills applicable to all manner of clinical data collection and analysis. If successful at the one (1)-year mark, there is significant opportunity for this data analyst to lead and shape the expansion of data efforts across the school of medicine and improve the collaborative clinical data efforts with Refined Science." Why Join Us: "Investigators in the Division of Hematology’s Blood Cancer Program are actively engaged in multiple research activities aimed at improving outcomes for patients with blood cancers and related disorders. These studies are wide-ranging and involve extensive collaboration between laboratory scientists and physicians. Our work is funded by the National Cancer Institute (NCI), the American Cancer Society (ACS), the Leukemia and Lymphoma Society (LLS), and numerous other foundations and industry sources. Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package including: Medical: Multiple plan options Dental: Multiple plan options Additional Insurance: Disability, Life, Vision Retirement 401(a) Plan: Employer contributes 10% of your gross pay Paid Time Off: Accruals over the year Vacation Days: 22/year (maximum accrual 352 hours) Sick Days: 15/year (unlimited maximum accrual) Holiday Days: 15/year Tuition Benefit: Employees have access to this benefit on all CU campuses ECO Pass: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage." We can merge benefits list later; but the Why Join Us includes benefits description; we should not duplicate. We'll keep benefits section separate with the list; we can still mention the funding and research in About the role. Work Location: "Onsite – this role is expected to work onsite and is located in Aurora, CO. located at the University of Colorado Anschutz Medical Campus." Now Responsibilities list: need to parse each bullet separated by periods? The text: "Key Responsibilities: Efficient abstraction of pathology, treatment and other clinical data from medical records that is thorough and accurate.Utilization of critical thinking skills with a high attention to detail while performing abstraction.Identify potential problems affecting the abstraction process for improvement and quality control.Perform quality review on work completed by other data abstractors.Review data quality dashboards and make corrections.Address data quality questions from the multidisciplinary team.Work with the multidisciplinary team to support automated abstraction activities.Work to develop new procedures for data abstraction involving computational approaches and artificial intelligence.Work with clinicians for clarification when needed.Assist in the development of data definitions and abstraction procedures.Practice a high level of integrity and honesty in maintaining confidentiality.Adhere to research regulatory standards." We'll split into list items. Qualifications: Minimum Qualifications: Entry Level: Bachelor’s degree in any field. Intermediate Level: Bachelor’s degree in any field. One (1) year clinical research or related experience. Senior Level: Bachelor’s degree in any field. Two (2) years clinical research or related experience. A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor’s degree on a year for year basis. Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications: Bachelor’s degree in science or health related field. Three (3) years of clinical research or related experience. Experience with electronic data capture systems (e.g. EMR or EHR and data management systems). Prior experience in a healthcare or research setting with oncology or blood cancers. Prior experience with biostatistics. Prior independent programming experience with R, particularly analysis with common healthcare outcome metrics such as kaplan-meier curves, hazard ratios, demographic statistic tables, and others. Experience using REDCap databasing software and API functionality. Prior experience with AI functionality as applied to healthcare databasing questions and challenges. Two (2) or more years of data abstraction experience including knowledge of basic medical terminology and the use of electronic medical records. Some programming knowledge or experience. Knowledge, Skills and Abilities: list items. Benefits: list from Why Join Us: Medical: Multiple plan options Dental: Multiple plan options Additional Insurance: Disability, Life, Vision Retirement 401(a) Plan: Employer contributes 10% of your gross pay Paid Time Off: Accruals over the year Vacation Days: 22/year (maximum accrual 352 hours) Sick Days: 15/year (unlimited maximum accrual) Holiday Days: 15/year Tuition Benefit: Employees have access to this benefit on all CU campuses ECO Pass: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage. Pay: salary ranges: Entry Level: $49,899 – $66,865 Intermediate Level: $54,302 – $72,765 Senior Level: $58,705 – $78,665 Schedule: Full-time. Now produce HTML. We'll wrap each section in

  and then content. For lists, use

  • . For prose,

    . We need to include the Job ID/requisition numbers somewhere; maybe in About the role paragraph as a short sentence: "Position #: 00853231 – Requisition #: 41091". Not as heading. Let's craft About the role paragraph: combine job summary, work location, funding details, why join us research funding, etc. Ensure we don't repeat benefits list (we'll keep benefits separate). We'll include the research funding info from Why Join Us (NCI, ACS, LLS, etc.) and the collaborative aspect. Let's write:

    Clinical Data Coordinators perform key roles in gathering clinical data and ensuring high degrees of comprehensiveness, accuracy, and fidelity. They establish and maintain patient databases crucial for successful academic clinical research and basic science pursuits involving patient samples and information. Additionally, they have intimate knowledge of data transfer mechanisms and usage, thus can inform strategies to streamline these processes through computational and artificial intelligence-based approaches. This Clinical Data Coordinator position is part of a pilot program for a campus-wide initiative to better harness clinical data, funded for one (1) year as a proof‑of‑principle with potential extension, in collaboration with the on‑campus bio‑tech company Refined Science. The coordinator will work closely with the clinical trials unit and Refined Science’s clinical data team to develop translational tools applicable to academic and industry data projects, with opportunity to lead expansion of data efforts across the School of Medicine. The role is onsite in Aurora, CO at the University of Colorado Anschutz Medical Campus. Investigators in the Division of Hematology’s Blood Cancer Program are actively engaged in multiple research activities aimed at improving outcomes for patients with blood cancers and related disorders, funded by the National Cancer Institute (NCI), the American Cancer Society (ACS), the Leukemia and Lymphoma Society (LLS), and numerous other foundations and industry sources.

    Now Responsibilities list. We'll create
    with each responsibility as
    • . Responsibilities items: - Efficient abstraction of pathology, treatment and other clinical data from medical records that is thorough and accurate. - Utilization of critical thinking skills with a high attention to detail while performing abstraction. - Identify potential problems affecting the abstraction process for improvement and quality control. - Perform quality review on work completed by other data abstractors. - Review data quality dashboards and make corrections. - Address data quality questions from the multidisciplinary team. - Work with the multidisciplinary team to support automated abstraction activities. - Work to develop new procedures for data abstraction involving computational approaches and artificial intelligence. - Work with clinicians for clarification when needed. - Assist in the development of data definitions and abstraction procedures. - Practice a high level of integrity and honesty in maintaining confidentiality. - Adhere to research regulatory standards. Now Qualifications section: we could have two sub-sections but we can just