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 .

Protein Designer

Arcadia Science · Emeryville, California

Application Process: 

Interested applicants should apply using the link below.

Arcadia is an equal opportunity workplace; we welcome people from all backgrounds and communities. We provide competitive compensation and practical benefits to keep you happy and healthy so that you can do your best work. 

Please note that an offer of employment at Arcadia is contingent upon the successful clearance of a reference and background check.

A Bit About Us:

We are Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and make our work broadly useful.

The Opportunity:

We’re closing the gap between biological data and biological understanding. Our Validation team does this by closing the design–build–test–learn loop through lab validation across diverse organisms.  Read more about our work through our publications

We are seeking a Protein Designer to join our Validation team. In this role, the Protein Designer will work cross-functionally to run experimental loops aimed at validating our novel protein design tools. The scientist in this role will work to independently plan protein design projects, apply our tools and their ideas to generate proteins, and evaluate the biological function of the proteins they design both in vitro and in vivo

Our ideal candidate should have deep knowledge of proteins and how they function in a cellular context, as well as hands-on experience related to running design–build–test–learn loops. They are energized by evaluating novel biology, skilled at troubleshooting, and thrive in collaborative and open research environments. Enthusiasm and participation in open science is also required as we routinely share our findings via our open-source pubs.

Key Responsibilities:

  • Independently design, plan, and execute projects related to protein design

  • Coordinate and drive design-build-test-learn loops to evaluate protein design tools

  • Experimentally validate novel proteins in the lab (in vitro or in a cellular context)

  • Collaborate cross-functionally with computational and experimental scientists

  • Contribute to the development and improvement of analyses, tools, and methodologies related to protein design and the evaluation of novel proteins

  • Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work

  • Qualifications:

  • PhD or equivalent experience in biochemistry, biophysics, bioengineering, or related field

  • At least 3 years post-PhD or equivalent experience in a related position

  • Deep understanding of protein function in the cell, biology, and structure and how these might be useful for protein design

  • Experience with validation, design-build-test-learn loops, or something similar

  • Familiarity with SOTA protein analysis and design tools (e.g., ESM, Rosetta, etc.)

  • Experience with protein biology, biochemistry, or cell biology to inform protein expression and purification, assay development, experimental design, etc.

  • Experience in at least one programming language and experience with relevant libraries

  • High level of autonomy and critical thinking skills

  • Written and oral communication skills and a willingness to share research openly, early, and often

  • Experience working with cross-functional teams with different working styles and types of expertise