Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Clinical Ops Lead - UK

Mentis · United Kingdom

About Aptura AI

We work with leading AI labs and companies across healthcare, finance, and legal providing the specialist knowledge and human oversight that makes AI platforms more accurate and reliable in these highly regulated domains.

In healthcare, we work with companies that are looking to train and fine-tune their AI models before being deployed into the real-world. Our expertise is helping companies design and build the evaluation frameworks, to assess the clinical accuracy and performance of these platforms. We specialise in sourcing clinicians (experts) and annotating medical data at scale that is used to train the models such as labelling and reviewing consultation notes, medical images or pathology reports.

The projects we manage tend to sit at the heart of how AI learns to understand real clinical interactions from consultations, workflows, and the delivery of care that directly affects both clinicians and patients. Our strength is end-to-end project management, from sourcing the right clinician all the way through to ensuring the final output meets the clinical standards required. Projects we have been involved in, include SNOMED Medical Coding for Medical Device Registration, AI powered MDT platforms and AI-assisted Clinical Trials Recruitment.

We're a small, in-person team based in London. We move quickly, hold ourselves to a high standard, and expect every individual to contribute directly.

About the role

This is a generalist operational role as well as being the first hire in the healthcare team so naturally comes with a lot of responsibility and growth opportunities.

A core focus of this role is to bring your clinical background and creativity to grow our network of healthcare professionals looking to advance AI in healthcare through short term, remote, flexible AI projects. This is coupled to helping design, manage and deliver projects across multiple clinical domains. This means getting involved in the initial customer conversations to sourcing the right clinicians and creating project specific resources. You will be responsible for onboarding clinicians, processing payments on a weekly basis, maintaining their engagement alongside offering a white glove service for our customers.

This role carries genuine breadth and real ownership from day one with the unique opportunity to work directly with some of the world’s leading AI labs. You will work directly with the Head of Healthcare, Dr Abdul Rahyead (former NHS doctor and ex-founder).

Key responsibilities

  • Community Building: Growing the healthcare expert network, handling onboarding, maintaining timely communications and payouts for experts. Exploring creative ways to engage more clinicians through hackathons, platforms and IRL events

  • Business Development: Support commercial and partnership activities, including setting up GTM motions and outreach initiatives

  • Client Management: Manage the full lifecycle of healthcare customer relationships, from onboarding, contracting and project delivery

  • Project Management: Support end-to-end project delivery, including expert engagement, manage quality assurance (QA) and review processes to ensure outputs from experts meet the required clinical standards and accuracy required to train AI models safely

  • Operations: Streamline and improve existing processes for experts (sourcing, onboarding, communications, payouts) and projects (resources, time-tracking, milestones, review processes) to ensure we remain lean and can manage multiple projects in parallel without compromising on the quality

Essential requirements

  • Qualified healthcare professional with a minimum of 2 years clinical experience (NHS)

  • Strong organisation skills with the ability to manage multiple projects at the same time and competing priorities

  • Ability to context-switch between clinicians, customers, projects and operational responsibilities without losing pace or attention to details

  • A proactive, self-directed working style, comfortable operating in an environment where the processes are still being defined and the playbook is being written in real-time

  • Strong written and verbal communication skills

  • Able to deliver and work in time-constrained environments

Desirable attributes

  • Previously worked at a startup, scale-up or similarly high-paced setting

  • Familiarity with data annotation/labelling, designing and developing evals for AI models

  • Experience in a client-facing, commercial or business development role

  • Experimented with setting up personal or company related AI workflows and automations