Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology)

UNSW · Chicago, IL · 1 mo ago

Analyst$133k–$156k/yrFull-time

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Must preserve all substantive info, remove boilerplate like EEO, application instructions, etc. Also remove "How To Apply", "Pre-Employment Checks", "Enquiries", "Applications close", EEO statements, etc. Also remove duplicated lines. We need to parse the posting. Key info: - Job based in Australia Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology) - title not needed as heading. - Employment Type: Full-time (35 hours a week) - Duration: 2-Year Fixed Term (possible extension, funding dependant) - Remuneration: Academic Level B $133k - $156k base (+17% super, plus leave loading) - Work rights: Visa sponsorship is not available for this position. Candidates must hold full rights to work in Australia to be considered for this position - Location: UNSW South-West Sydney Clinical School, Liverpool Hospital (Hybrid working) UNSW School of Clinical Medicine ... description of school. - The Opportunity: description of role: research-focused position within CCORE, Ingham Institute, South-West Sydney Clinical School, UNSW. Opportunity to refine expertise in health services and equity research, contribute to University's standing as national leader. Post-Doctoral Fellow will work on statistical analyses of large-scale administrative datasets examining inequalities in evidence-based care for cancer. Research will involve data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data. Unique opportunity to work within multidisciplinary team alongside clinicians and staff specialists who provide practical, real-world insights and expert guidance to support interpretation and analysis of complex data. Associate Professor Mei Ling Yap Dr Md Mijanur Rahman (these are contacts maybe). Not needed. - Key Skills And Experience Required: list bullet points. - UNSW Benefits and Culture: list benefits. We need sections: About the role (maybe summary), Responsibilities (maybe from Opportunity), Requirements (maybe work rights?), Qualifications (maybe PhD etc), Skills (maybe key skills), Benefits (UNSW Benefits), Pay (remuneration), Schedule (employment type/hours). We must not create sections with filler. We need to decide what content goes where. We must preserve all substantive information. So we need to include details about employment type, duration, location, work rights, opportunity description, key skills, benefits, pay. We must not include boilerplate like EEO, application instructions, pre-employment checks, enquiries, etc. We must not repeat job title as heading. We must not include Job ID etc. We must not include duplicated lines. We need to output only HTML fragment, no /, no markdown fences. We'll produce something like:

About the role

...

Responsibilities

Requirements

Qualifications

Skills

Benefits

Pay

...

Schedule

...

But we need to ensure we only include sections that have real specific content. All of these have content. Now we need to extract content. About the role: maybe a brief summary: "Research-focused Post-Doctoral Fellow position within the Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, South-West Sydney Clinical School, UNSW, focusing on statistical analyses of large-scale administrative datasets examining inequalities in evidence-based care for cancer, involving data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data, working within a multidisciplinary team alongside clinicians and staff specialists." Responsibilities: could be derived from Opportunity: "Conduct statistical analyses of large-scale administrative datasets to examine inequalities in evidence-based care for cancer", "Perform data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data", "Collaborate with clinicians and staff specialists to interpret and analyze complex data", "Contribute to grant-funding applications", "Publish high-impact research in biostatistics, cancer and health services research". But we must not invent details not in posting. The posting says: "They will have the opportunity to refine expertise in health services and equity research and contribute to the University's standing as a national leader in the discipline. The Post-Doctoral Fellow will have the opportunity to work on statistical analyses of large-scale administrative datasets examining inequalities in evidence-based care for cancer. The research will involve data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data. This is a unique opportunity to work within a multidisciplinary team alongside clinicians and staff specialists who provide practical, real-world insights and expert guidance to support the interpretation and analysis of complex data." Also "Have contributed to competitive grant-funding applications." is under Skills/Experience required. So responsibilities could be those opportunity statements. Requirements: maybe work rights and duration? Actually "Work rights: Visa sponsorship is not available for this position. Candidates must hold full rights to work in Australia to be considered for this position" could be a requirement. Also "Employment Type: Full-time (35 hours a week)" maybe schedule. Duration maybe also a requirement? Could be under Requirements or maybe separate but we have no separate section for contract length; we could put under Requirements. Qualifications: "A PhD in Biostatistics, Epidemiology, Data Science, or related discipline and/or relevant work experience". Also maybe "Have an emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or another related field." That's more skills/experience. But we can treat PhD as qualification. Skills: list of skills: "High level statistical and data analysis skills in advanced analytic methods including causal inference and prognostic/risk prediction modelling.", "Evidence of strong data management skills and experience managing large linked administrative datasets using statistical software including Stata, R or SAS, python.", "Ability to engage with a variety of audiences, tailoring communication to suit the relevant audience.", "Have contributed to competitive grant-funding applications." maybe also skill. Benefits: list from UNSW Benefits and Culture: "Additional 3 days leave during Christmas holidays", "Career development opportunities", "Up to 50% discount on UNSW courses", "Flexible 17% Superannuation contributions, additional leave-loading payments and salary sacrifice.", "Discounts and entitlements (retail, education, fitness passport)". Also maybe "People are at the core..." but that's prose. Pay: "Academic Level B $133k - $156k base (+17% super, plus leave loading)". Also maybe note that super is 17% (already included). We'll put that. Schedule: "Full-time (35 hours a week)". Also maybe mention hybrid working location? But schedule is hours. We also have location info: maybe we could put under About the role or a separate section but we don't have a Location section heading allowed? The allowed headings are only those listed: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we must fit location into one of those. Probably About the role includes location. We must not include duplicated lines. Ensure we don't repeat. Now produce HTML. We need to wrap list items in

. For prose use

. Let's craft. About the role: combine location and opportunity.

Based at the UNSW South-West Sydney Clinical School, Liverpool Hospital (hybrid working), within the School of Clinical Medicine. This research-focused Post‑Doctoral Fellow position sits in the Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute. The fellow will refine expertise in health services and equity research, contribute to UNSW’s standing as a national leader, and work on statistical analyses of large‑scale administrative datasets examining inequalities in evidence‑based care for cancer, including data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data, alongside a multidisciplinary team of clinicians and staff specialists.

That seems good. Responsibilities: list of duties from opportunity.

Conduct statistical analyses of large‑scale administrative datasets to examine inequalities in evidence‑based care for cancer.
Perform data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data.
Collaborate with clinicians and staff specialists to interpret and analyze complex data.
Contribute to competitive grant‑funding applications.
Publish high‑impact research in biostatistics, cancer and health services research.

But need to ensure we didn't invent "Publish high‑impact research" - it's implied by "Have an emerging publication track record with high impact publication(s)". That's a requirement/experience, not a duty. Might be better to not include as responsibility unless explicitly stated. The posting does not explicitly state responsibility to publish, but it's implied as part of role. However we should avoid inventing. Safer to stick to explicit statements: "work on statistical analyses...", "research will involve data linkages...", "work within a multidisciplinary team alongside clinicians and staff specialists who provide practical, real-world insights and expert guidance to support the interpretation and analysis of complex data." Also "refine expertise in health services and equity research and contribute to the University's standing as a national leader in the discipline." That's more of opportunity. Could be responsibility: "Develop expertise in health services and equity research to support the university's national leadership." Might be okay. Let's keep responsibilities as: - Work on statistical analyses of large‑scale administrative datasets examining inequalities in evidence‑based care for cancer. - Conduct data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data. - Collaborate with clinicians and staff specialists to interpret and analyze complex data. - Refine expertise in health services and equity research to contribute to UNSW’s standing as a national leader. - Contribute to competitive grant‑funding applications. All these are derived from posting. Now Requirements: maybe work rights and duration? Also maybe "Full-time (35 hours a week)" is schedule. We'll put work rights and duration under Requirements.

Must hold full rights to work in Australia; visa sponsorship is not available.
2‑year fixed term contract (possible extension, funding dependent).

Qualifications: PhD requirement.

PhD in Biostatistics, Epidemiology, Data Science, or a related discipline (or equivalent relevant work experience).

Skills: list of skills.

High‑level statistical and data analysis skills, including causal inference and prognostic/risk prediction modelling.
Strong data management skills with experience managing large linked administrative datasets using Stata, R, SAS, or Python.
Ability to engage with diverse audiences and tailor communication appropriately.
Experience contributing to competitive grant‑funding applications.
Emerging publication track record with high‑impact work in biostatistics, cancer, health services research or a related field.

Benefits: list.

Additional 3 days leave during Christmas holidays.
Career development opportunities.
Up to 50% discount on UNSW courses.
Flexible 17% superannuation contributions, additional leave‑loading payments and salary sacrifice options.
Discounts and entitlements (retail, education, fitness passport).

Pay:

Academic Level B salary range: $133,000 – $156,000 base, plus 17% superannuation and leave loading.

Schedule:

Full