Jobs · Information Technology · California

Statistical Consultant (Research)

UNSW · Princeton, CA · 3 wk ago
Information Technology$95k–$127k/yrFull-time
We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real content. We need to parse the job posting. Key info: - Title: not needed. - Location: Australia (maybe not needed as heading). Could be in a short paragraph. - Salary: "$95,036 -$126,711 + 17% super (*minimum $118,467 with PhD)". Also "12-month fixed term contract at UNSW Kensington". "Full-time (35 hours week)". So Pay and Schedule sections can be included. - Benefits: listed under "Benefits And Culture": Flexible working arrangements, 17% superannuation contributions, annual leave-loading payments and salary sacrifice option, Discounts and entitlements (retail, education, fitness passport), Affordable on-campus parking. Also maybe "People are at the core..." but that's culture. - About the role: The first paragraph: "This Job is based in Australia A great next step after your PhD – apply your statistical expertise to a wide variety of real-world research problems and build your project experience.Varied and interesting work – contribute to diverse research projects across UNSW, working with researchers from different disciplines and tackling a broad range of applied statistical challenges.Collaborative team + publication opportunities – join a friendly, supportive team while contributing to research that can lead to publications. Why Your Role Matters". Also description of Stats Central etc. So we can have About the role section. - Responsibilities: maybe from "The Statistical Consultant (Research) will provide advice on or lead study design, analysis, and communication of results in a cross-disciplinary context on research contracts with partners around the university." Also earlier: "apply your statistical expertise to a wide variety of real-world research problems and build your project experience." Could be responsibilities. - Requirements/Qualifications/Skills: The "Who You Are" section lists PhD in Applied Statistics or related discipline, and can demonstrate skills: design and analysis of clinical trials, advanced statistical techniques (GLMM, survival analysis, time series, data imputation, meta-analysis), ability to meet project requirements and deadlines with minimal supervision, ability to work effectively in a team, capacity for independent decision-making, establish and manage consultative relationships, communicate statistical concepts to non-statisticians, provide effective statistical mentoring, ability to develop statistical methodology or software applications, write code in multiple statistical packages, understanding of UNSW aims, knowledge of health & safety responsibilities, commitment to attending relevant training. We need to decide how to split into sections: Qualifications, Skills, Requirements. The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can combine overlapping content but must not repeat. We need to preserve all substantive info. We could have: - About the role (introductory description) - Responsibilities (what you'll do) - Qualifications (PhD etc) - Skills (specific technical skills) - Benefits (list) - Pay (salary + super) - Schedule (contract term, hours) We must avoid filler like "commensurate with experience". Not present. We must not include boilerplate like EEO etc. Remove those paragraphs at end about diversity etc. Also remove application instructions, contact, pre-employment checks, visa sponsorship note, etc. Also remove "To Apply:" etc. Also remove "Contact:" etc. Also remove "UNSW is committed to evolving a culture..." etc. Also remove "Please note applications sent directly..." etc. Also remove "Pre Employment Checks". Also remove "As part of our recruitment process..." etc. Also remove "The University reserves the right not to proceed with any appointment." Also remove "UNSW provides workplace adjustments..." etc. Also remove "If you’re seeking a career where you can thrive..." maybe that's part of About UNSW but could be considered boilerplate? It's describing UNSW culture; maybe we can keep as part of About the role? But it's more about UNSW general. Might be considered filler but it's substantive about the organization. However instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The paragraph about UNSW being a large organisation, rankings, Group of Eight is not boilerplate but could be considered generic. However it's substantive info about the employer. Might keep as part of About the role or a separate section? There's no heading for "About UNSW". Could incorporate into About the role. We need to preserve ALL substantive information; do NOT invent or summarize away detail. So we must keep details like salary numbers, super, contract length, hours, benefits list, responsibilities, qualifications, skills. We must not repeat job title as heading. We must not put Job ID/requisition numbers as headings (none present). We must output only HTML fragment. Let's craft sections:

About the role

This job is based in Australia. A great next step after your PhD – apply your statistical expertise to a wide variety of real-world research problems and build your project experience. Varied and interesting work – contribute to diverse research projects across UNSW, working with researchers from different disciplines and tackling a broad range of applied statistical challenges. Collaborative team + publication opportunities – join a friendly, supportive team while contributing to research that can lead to publications. Stats Central is a team of nine statisticians and two bioinformaticians offering UNSW researchers support and training in study design and analysis, as part of the university’s 2025 Strategy. It is based in the Mark Wainwright Analytical Centre in the Division of Research and Enterprise, a centralised unit that manages major research infrastructure at UNSW and provides relevant technical and consulting expertise. The Statistical Consultant (Research) will provide advice on or lead study design, analysis, and communication of results in a cross-disciplinary context on research contracts with partners around the university.

But note we already have responsibilities later; maybe we should separate responsibilities. Better: About the role: general description of the team and purpose. Responsibilities: specific duties. Let's extract responsibilities from text: "apply your statistical expertise to a wide variety of real-world research problems and build your project experience." "contribute to diverse research projects across UNSW, working with researchers from different disciplines and tackling a broad range of applied statistical challenges." "join a friendly, supportive team while contributing to research that can lead to publications." "provide advice on or lead study design, analysis, and communication of results in a cross-disciplinary context on research contracts with partners around the university." We can list as
  • ...
. Qualifications: PhD in Applied Statistics or related discipline. Skills: list of specific skills: design and analysis of clinical trials, advanced statistical techniques (generalised linear mixed models, survival analysis, time series, data imputation methods, meta-analysis), ability to meet project requirements and deadlines with minimal supervision, ability to work effectively as a member of a team, capacity for independent decision‑making using initiative, establish and manage consultative, productive relationships with researchers from different backgrounds, communicate statistical concepts clearly to non‑statisticians, provide effective statistical mentoring to research staff, ability to develop statistical methodology or statistical software applications, write code in multiple statistical packages, understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines, knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training. Benefits: Flexible working arrangements and are committed to supporting work-life balance while delivering meaningful outcomes. 17% superannuation contributions, annual leave-loading payments and salary sacrifice option. Discounts and entitlements (retail, education, fitness passport). Affordable on-campus parking. Pay: "$95,036 - $126,711 + 17% super (*minimum $118,467 with PhD)". Note there is a missing space between -$126,711 but we can format. Schedule: "12-month fixed term contract at UNSW Kensington. Full-time (35 hours week)". Could be two items. We need to ensure we don't create sections with filler like "commensurate with experience". Not present. Now produce HTML. We'll wrap each section in

then content. Make sure no extra text outside. Let's produce:

About the role

This job is based in Australia. Stats Central is a team of nine statisticians and two bioinformaticians offering UNSW researchers support and training in study design and analysis, as part of the university’s 2025 Strategy. It is based in the Mark Wainwright Analytical Centre in the Division of Research and Enterprise, a centralised unit that manages major research infrastructure at UNSW and provides relevant technical and consulting expertise. The Statistical Consultant (Research) will provide advice on or lead study design, analysis, and communication of results in a cross-disciplinary context on research contracts with partners around the university.

Responsibilities

  • Apply statistical expertise to a wide variety of real‑world research problems and build project experience.
  • Contribute to diverse research projects across UNSW, working with researchers from different disciplines and tackling a broad range of applied statistical challenges.
  • Join a friendly, supportive team and contribute to research that can lead to publications.
  • Provide advice on or lead study design, analysis, and communication of results in a cross‑disciplinary context on research contracts with partners around the university.

Qualifications

  • PhD in Applied Statistics or a related discipline.

Skills

  • Design and analysis of clinical trials.
  • Advanced statistical techniques common in health and behavioural research, such as generalised linear mixed models, survival analysis, time series, data imputation methods and meta‑analysis.
  • Ability to meet project requirements and deadlines at a high level with minimal supervision.
  • Ability to work effectively as a member of a team, and the capacity for independent decision‑making using initiative.
  • Establish and manage consultative, productive relationships with researchers from different backgrounds and communicate statistical concepts clearly to non‑statisticians.
  • Provide effective statistical mentoring to research staff.
  • Ability to develop statistical methodology or statistical software applications, and to write code in multiple statistical packages.
  • Understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
  • Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training.

Benefits

  • Flexible working arrangements and commitment to supporting work‑life balance while delivering meaningful outcomes.
  • 17% superannuation contributions, annual leave‑loading payments and salary sacrifice option.
  • Discounts and entitlements (retail, education, fitness passport).
  • Affordable on‑campus parking.

Pay

$95,036 – $126,711 + 17% super (minimum $118,467 with PhD)

Schedule

  • 12‑month fixed term contract at UNSW Kensington.
  • Full‑time (35 hours per week).
Check for any duplicated content: We included "apply your statistical expertise..." in responsibilities; also we had earlier in About the role we omitted that phrase to avoid duplication. Good. We omitted the sentence "Why Your Role Matters" maybe not needed. We omitted

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