Jobs · Georgia

Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology)

UNSW · Atlanta, GA · 1 mo ago
$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. Remove boilerplate like EEO, application instructions, etc. Must preserve all substantive info. We need to parse the posting. Key info: - Job title: Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology) – not used as heading. - Employment Type: Full-time (35 hours a week) – schedule? Could be schedule section? But schedule is about work hours; we could include schedule if present. The posting says "Full - time (35 hours a week)". That's schedule info. So we can include a Schedule section with that. - Duration: 2-Year Fixed Term (possible extension, funding dependant) – could be part of About the role or maybe a separate section? Not listed as a standard heading; we could put in About the role. - Remuneration: Academic Level B $133k - $156k base (+17% super, plus leave loading) – Pay section. - Work rights: Visa sponsorship not available; candidates must hold full rights to work in Australia – could be in Requirements or Qualifications. - Location: UNSW South-West Sydney Clinical School, Liverpool Hospital (Hybrid working) – could be in About the role. - The Opportunity description: research-focused position within CCORE, etc. Could be About the role. - Key Skills And Experience Required: list bullet points. - UNSW Benefits and Culture: list benefits. We need sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide what goes where. About the role: general description: research-focused position, working within CCORE, Ingham Institute, South-West Sydney Clinical School, UNSW; opportunity to refine expertise; work on statistical analyses of large-scale administrative datasets examining inequalities; data linkages; multidisciplinary team; location; hybrid working; duration maybe. Responsibilities: maybe list duties: statistical analyses of large-scale admin datasets; data linkages; contribute to grant applications; engage with audiences; etc. The posting doesn't have explicit responsibilities list, but we can infer from description. However we must not invent detail. We should only include what is explicitly stated. The posting says: "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." Also "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." Also "Have contributed to competitive grant-funding applications." That's a skill/experience requirement, not responsibility. But we could treat as responsibility? Might be better to put under Requirements/Skills. We need to avoid fabricating. If we don't have explicit responsibilities, we could omit Responsibilities section. The instruction: "Prefer a few substantive sections over many thin ones." So we can skip Responsibilities if not explicit. Requirements: maybe include work rights, PhD, etc. Qualifications: maybe PhD etc. Skills: list statistical software, causal inference, etc. Benefits: list from UNSW Benefits and Culture. Pay: remuneration. Schedule: full-time 35 hours a week. We must not include sections with placeholder text like "commensurate with experience". We have actual numbers. Let's extract specifics: About the role: - Research-focused position within Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, South-West Sydney Clinical School, UNSW. - Opportunity to refine expertise in health services and equity research and contribute to UNSW's standing as national leader. - Work on statistical analyses of large-scale administrative datasets examining inequalities in evidence-based care for cancer. - Research involves data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data. - Multidisciplinary team alongside clinicians and staff specialists providing practical insights. - Location: UNSW South-West Sydney Clinical School, Liverpool Hospital (Hybrid working). - Duration: 2-Year Fixed Term (possible extension, funding dependent). We could also mention that it's a Post-Doctoral Fellow. Responsibilities: Not explicit; maybe we can skip. Requirements: - Must hold full rights to work in Australia (visa sponsorship not available). - PhD in Biostatistics, Epidemiology, Data Science, or related discipline and/or relevant work experience. - Have contributed to competitive grant-funding applications. - Interest in research aimed at reducing health system inequalities and improving cancer outcomes. - Ability to engage with a variety of audiences, tailoring communication. Qualifications: Could be similar to Requirements; but we need differentiate. Perhaps Qualifications: PhD, experience with grant applications, interest in reducing inequalities, communication skills. 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. - Emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or related field. Benefits: - 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). Pay: - Academic Level B $133k - $156k base (+17% super, plus leave loading). Schedule: - Full-time (35 hours a week). We must not include duplicated lines. Also remove boilerplate: "How To Apply", "Pre-Employment Checks", "Enquiries", "Applications close", EEO statement, etc. We must output only HTML fragment, no markdown. We'll use

for each section heading. Use
  • for lists. Use

    for prose. We need to decide which sections to include. We have About the role, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Possibly also Responsibilities if we can derive from description without inventing. The description includes "They will have the opportunity to work on statistical analyses..." that's more of a duty/responsibility. Could be considered responsibility. But we already used that in About the role. Might be okay to put under Responsibilities as a list: "Perform 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", "Engage with multidisciplinary team to interpret and analyze complex data", "Contribute to grant-funding applications". However some of those are from skills/requirements. To avoid duplication, maybe better to keep About the role as prose and not duplicate. Given instruction: "Prefer a few substantive sections over many thin ones." So we could combine some. But we need to follow the headings list if we include them. We could include only About the role, Skills, Benefits, Pay, Schedule. That covers most. Requirements and Qualifications could be merged into Skills? But they ask for separate headings; we can include them if we have content. Let's see if we have distinct content for Requirements vs Qualifications vs Skills. Requirements: eligibility (work rights), PhD, grant experience, interest, communication. Qualifications: maybe similar. Could treat Requirements as eligibility and Qualifications as educational/experience. Skills as technical. We'll include: - About the role (prose) - Requirements (list) - Qualifications (list) maybe overlapping but we can differentiate: Requirements: work rights, PhD, grant experience, interest, communication. Qualifications: maybe same? Might be redundant. Could skip Qualifications. But we need to follow instruction: include a section ONLY when the posting has real, specific content for it. If we think Qualifications overlaps heavily with Requirements, we could still include Qualifications with content like "PhD in Biostatistics, Epidemiology, Data Science, or related discipline and/or relevant work experience". That's specific. Requirements could be "Must hold full rights to work in Australia; visa sponsorship not available." plus maybe "Interest in research aimed at reducing health system inequalities and improving cancer outcomes." and "Ability to engage with a variety of audiences". That seems distinct. Thus: Requirements: - Must hold full rights to work in Australia (visa sponsorship not available). - Interest in research aimed at reducing health system inequalities and improving cancer outcomes. - Ability to engage with a variety of audiences, tailoring communication to suit the relevant audience. Qualifications: - PhD in Biostatistics, Epidemiology, Data Science, or related discipline and/or relevant work experience. - Have contributed to competitive grant-funding applications. 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. - Emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or another related field. Benefits: list. Pay: paragraph. Schedule: paragraph. Now we need to ensure we don't include any boilerplate like "Full details can be found in the position description." That's generic; we should omit. Also remove "UNSW Benefits and Culture:" heading; we just list benefits. Now produce HTML. Structure:

    About the role

    ...

    Requirements

    • ...
    • ...

    Qualifications

      ...

      Skills

        ...

        Benefits

          ...

          Pay

          ...

          Schedule

          ...

          Make sure no extra whitespace issues. Now craft the prose for About the role: "The Post-Doctoral Fellow will work within the Collaboration for Cancer Outcomes, Research and Evaluation (CCORE) at the Ingham Institute, South-West Sydney Clinical School, UNSW. The role focuses on refining expertise in health services and equity research, contributing to UNSW’s standing as a national leader in the discipline. Responsibilities include conducting statistical analyses of large‑scale administrative datasets to examine inequalities in evidence‑based cancer care and performing data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data. The position is based at the Liverpool Hospital site with hybrid working arrangements and is a 2‑year fixed‑term contract (possible extension subject to funding)." That captures details. Now Requirements list: - Must hold full rights to work in Australia; visa sponsorship is not available for this position. - Interest in research aimed at reducing health system inequalities and improving cancer outcomes. - Ability to engage with a variety of audiences, tailoring communication to suit the relevant audience. Qualifications list: - PhD in Biostatistics, Epidemiology, Data Science, or a related discipline and/or relevant work experience. - Experience contributing to competitive grant‑funding applications. Skills list: - High‑level statistical and data analysis skills in advanced analytic methods including causal inference and prognostic/risk prediction modelling. - Demonstrated data management skills and experience managing large linked administrative datasets using statistical software such as Stata, R, SAS, or Python. - An emerging publication record with high‑impact publication(s) in biostatistics, cancer, health services research or a related field. Benefits list: - Additional three days of leave during the Christmas holiday period. - 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 paragraph: - Academic Level B salary range of $133,000–$156,000

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