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 .

13905 - Advanced Therapeutics Postdoctoral Research Associate (Engineered Geneti

University of Edinburgh · Edinburgh, Scotland

Grade UE07: £41,064 - £48,822 per annum pro-rata if part-time

College of Science and Engineering / School of Biological Sciences

Full-time: 35 hours per week

Fixed-term: for 36 months





The Opportunity:



We are looking to employ a postdoctoral researcher on a 36-month contract to join the research group of Professor Susan Rosser, chair of synthetic biology at the University of Edinburgh Centre for Engineering Biology to work on development of gene switches for use in gene therapy. The selected researcher will join an internationally recognised, friendly, diverse, inclusive and enthusiastic team. You will become part of the Engineered Genetic Control Systems for Advanced Therapeutics Hub (https://biology.ed.ac.uk/advanced-therapeutics-hub ). The hub, Directed by Prof Rosser, is a £14M 5-year UKRI sponsored research program across 4 institutions (Edinburgh, Oxford, Imperial, CRUK SI) pioneering engineering biology for advanced therapeutics. It is developing novel genetic tools to render gene therapies safe and effective, with initial focus on oncology, cardiovascular diseases and rare diseases.

This specific role on developing and experimentally validating engineered genetic switches at the transcriptional and post-transcriptional levels, such as synthetic promoters and riboswitches, for gene therapy applications. The successful candidate will have experience in synthetic biology approaches and expertise in mammalian cell engineering and RNA biology.

The post holder will have many opportunities for multidisciplinary collaborative working with academic colleagues from the different institutional partners and industry. This includes training and professional development opportunities arising from being embedded and working with communities of translational scientists.

This post offers an excellent opportunity for academic career advancement in a worlds renowned centre of excellence for synthetic/engineering biology. The University of Edinburgh hosts a large diverse, dynamic and multidisciplinary engineering biology community of more than 50 research groups. The University of Edinburgh’s synthetic biology facilities are second-to-none, and include a the Edinburgh Genome Foundry (https://biology.ed.ac.uk/research/facilities/edinburgh-genome-foundry) and Edinomics (https://biology.ed.ac.uk/research/facilities/edinomics).

Applicants must have a PhD in synthetic/engineering biology, molecular biology, RNA biology for appointment at Research Associate level. Applicants close to completion of their PhDs will also be considered where experience is directly relevant. Please see the job description and person specification document associated with this advert for the full list of criteria.



This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns.



Your skills and attributes for success:

PhD (or completion within 3 months) in engineering biology or related subject with synthetic/engineering biology experience.
Experience in engineering biology, RNA biology and molecular biology.
Experience in mammalian Cell Engineering.
Experience in the design and application of gene control systems, including synthetic promoters and/or riboswitches.
Excellent written and verbal communication skills with ability to build rapport with colleagues and collaborators.

Enquiries: [email protected]