Jobs · Analyst · California

Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology)

UNSW · San Francisco, CA · 1 mo ago
Analyst$133k–$156k/yrFull-time
We need to output HTML fragment with headings

for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections if posting has real specific content. We must not repeat job title as heading. No Job ID etc. Remove boilerplate. Must preserve all substantive info. We need to parse the posting. Job title: Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology). Not to be used as heading. Employment type: Full-time (35 hours a week). Duration: 2-Year Fixed Term (possible extension, funding dependent). Remuneration: Academic Level B $133k - $156k base (+17% super, plus leave loading). Work rights: Visa sponsorship not available; must hold full rights to work in Australia. Location: UNSW South-West Sydney Clinical School, Liverpool Hospital (Hybrid working) UNSW School of Clinical Medicine ... description. We need sections: About the role (maybe description of opportunity). Responsibilities (maybe tasks). Requirements (maybe eligibility). Qualifications (maybe PhD etc). Skills (maybe key skills). Benefits (UNSW Benefits and Culture). Pay (remuneration). Schedule (maybe full-time hours). We need to include only if content present. Let's extract content. About the role: The Opportunity paragraph: "This will be in a research-focused position working within the Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, South-West Sydney Clinical School, UNSW. 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. Associate Professor Mei Ling Yap Dr Md Mijanur Rahman" That's about role. Responsibilities: Not explicitly listed but implied: statistical analyses of large-scale administrative datasets, data linkages, working with team, etc. Could be considered responsibilities. We can extract bullet list? The posting does not have bullet list for responsibilities. It has prose. We can put in

. Requirements: Work rights: Visa sponsorship not available; must hold full rights to work in Australia. Also maybe location/hybrid? Not exactly requirement. Could be "Work rights" as requirement. Qualifications: 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; Emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or another related field. 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. Benefits: 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). Pay: Remuneration: Academic Level B $133k - $156k base (+17% super, plus leave loading). Schedule: Employment Type: Full-time (35 hours a week); Duration: 2-Year Fixed Term (possible extension, funding dependent). Could be schedule section. We must not include placeholder text like "commensurate with experience". Not present. We must not include duplicated lines. Ensure we don't repeat. We must not include application instructions, EEO, etc. Remove "How To Apply", "Pre-Employment Checks", "Enquiries", "Applications close", EEO statement, etc. We must preserve all substantive information. So we need to include details like location, hybrid working, etc. Where to put? Could be in About the role or a separate section? There's no specific heading for location; we could embed in About the role paragraph. We need to output only HTML fragment, no /. Use

for each section heading. Use
  • for any list of duties/requirements/benefits. Use

    for prose. We need to decide which content is list-like. Benefits are list; we can make

      . Requirements maybe list; we can make
        . Skills maybe list. Responsibilities maybe list? Not explicit list; we can use

        . Qualifications maybe list. Let's structure:

        About the role

        ... (including opportunity, location, hybrid, supervisors etc.)

        Responsibilities

        ... (statistical analyses, data linkages, working with multidisciplinary team)

        Requirements

        • Must hold full rights to work in Australia (visa sponsorship not available)

        Qualifications

        • 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
        • Emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or another related field

        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

        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 per week); 2‑year fixed term (possible extension, funding dependent)

        We need to ensure we didn't miss any substantive info: location (UNSW South-West Sydney Clinical School, Liverpool Hospital (Hybrid working) UNSW School of Clinical Medicine). Should be included in About the role paragraph. Also mention supervisors: Associate Professor Mei Ling Yap Dr Md Mijanur Rahman. Include. Also mention that they will refine expertise in health services and equity research, contribute to national leader, etc. Also mention that they will work on statistical analyses of large-scale administrative datasets examining inequalities in evidence-based care for cancer; data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data; multidisciplinary team alongside clinicians and staff specialists. Also mention that they will have opportunity to work within multidisciplinary team. All that is in About the role. We also need to include maybe "Opportunity" but we covered. Check for any other substantive info: "UNSW Benefits and Culture: People are at the core..." we captured benefits. Also "UNSW is committed to equity diversity and inclusion..." that's EEO boilerplate; we should remove. Also "Applications close: 30th September 2026, before 11.30pm Sydney time." That's application instruction; remove. Also "Pre-Employment Checks" etc; remove. Also "Enquiries Merita O'Connell..." remove. Also "UNSW provides workplace adjustments..." that's EEO; remove. Also "The University reserves the right not to proceed with any appointment." remove. Also "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." we captured in Requirements. Also "Location: UNSW South-West Sydney Clinical School, Liverpool Hospital (Hybrid working) UNSW School of Clinical Medicine" we captured. Also "The School of Clinical Medicine encompasses..." that's descriptive of school; maybe we can include in About the role as context. It's substantive but not essential? It describes the school. Could be included in About the role paragraph. We need to preserve ALL substantive information; we should not omit descriptive sentences about the school. So we should include that description. Thus About the role paragraph should include: The School of Clinical Medicine encompasses all our clinical campuses and disciplines as well as several other affiliated clinical sites. We have four main metropolitan clinical campuses which include our South West Sydney Campus, St George and Sutherland Campuses, the Randwick Campus and St Vincent's Healthcare Campus. Our Rural Campuses include Port Macquarie, Coffs Harbour, Wagga Wagga, Albury and Griffith. That is substantive. Thus About the role paragraph will be long. Let's craft:

        This will be in a research‑focused position working within the Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, South‑West Sydney Clinical School, UNSW. The Post‑Doctoral Fellow 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. They will work 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. The role is based at the UNSW South‑West Sydney Clinical School, Liverpool Hospital (hybrid working) within the UNSW School of Clinical Medicine, which encompasses all clinical campuses and disciplines and several affiliated clinical sites, including the four main metropolitan campuses (South West Sydney, St George and Sutherland, Randwick, St Vincent's Healthcare) and the rural campuses (Port Macquarie, Coffs Harbour, Wagga Wagga, Albury, Griffith). The fellow will work alongside clinicians and staff specialists who provide practical, real‑world insights and expert guidance to support the interpretation and analysis of complex data, under the supervision of Associate Professor Mei Ling Yap and Dr Md Mijanur Rahman.

        That captures. Now Responsibilities: maybe we can extract from the same paragraph but we already used. Could separate responsibilities: statistical analyses, data linkages, working with multidisciplinary team, etc. Let's produce a

        summarizing responsibilities. Responsibilities paragraph: "Conduct statistical analyses of large‑scale administrative datasets to examine inequalities in evidence‑based cancer care; perform data linkages of Australian Census and Commonwealth health and socioeconomic datasets to NSW health data; collaborate with a multidisciplinary team of clinicians and staff specialists to interpret and analyse complex data; contribute to health services and equity research outputs; support grant‑funding activities and disseminate findings through publications." That seems fine. Now Requirements: we have work rights only. Could also include "Must hold full rights to work in Australia (visa sponsorship not available)". That's it. Qualifications: as above. Skills: as above. Benefits: as above. Pay: as above. Schedule: as above. Check for any other substantive info: "Remuneration: Academic Level B $133k - $156k base (+17% super, plus leave loading)" we captured. "Employment Type: Full - time (35 hours a week)" captured in schedule. "Duration: 2-Year Fixed Term (possible extension, funding dependant)" captured

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