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 .

Research Associate, Single-Cell Genomics

Biohub · New York, NY (Onsite)

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.

The Team

Our immune cell reprogramming team integrates foundational research on immunology and disease biology with AI-modeling to develop engineered cells that harness our own immune system to detect and treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s. These technologies will enable precise, context-dependent therapeutic responses only when and where it is needed. You can learn more about our work here

Our work brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine.

Our Vision

  • Pursue large scientific challenges that cannot be pursued in conventional environments
  • Enable individual investigators to pursue their riskiest and most innovative ideas
  • Facilitate research by scientists and clinicians at our home institutions and beyond

We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease.

The Opportunity

Biohub is seeking a detail-oriented and collaborative Research Associate to support the development and operation of an Multiomics and Immune Profiling Lab (MIP Lab) situated inside Yale University (in the Biohub Yale Annex). The MIP Lab will implement high-throughput multiomics and immune profiling including multimodal single cell profiling, as well as genetics and environment perturbation experiments with readouts from single-cell genomics and high-dimensional spatial profiling. This position is ideal for someone who is passionate about cutting-edge molecular technologies and thrives in a team-oriented, large-scale project environment.

The mission of the Biohub—a collaborative effort between CZI, Yale, Columbia, and Rockefeller Universities—is to harness the human immune system for early disease detection and prevention. We are developing cutting-edge approaches to decode immune cell trafficking and sensing, engineer immune cells, and decipher the disease sensing code of immune cells throughout the body. The MIP Lab will implement and develop cutting-edge immune monitoring, profiling, and engineering technologies to support the mission of the Biohub and its Annex at Yale.  The selected candidate will join a dynamic and exciting team and this position will allow the candidate to continue to build and expand their laboratory, scientific, and cross-disciplinary teamwork skills.

What You'll Do

  • Set up and maintain laboratory equipment and workflows for single-cell genomics and multiomics applications.
  • Execute complex single-cell genomics experiments and coordinate sample processing with collaborating investigators and core facilities.
  • Establish, troubleshoot, and optimize experimental pipelines and standard operating procedures for molecular and genomic technologies, including various types of omics library preparation.
  • Perform quality control and preliminary computational analysis of genomic data to support experimental troubleshooting and workflow optimization.
  • Maintain detailed documentation of protocols, experimental conditions, and results.
  • Work closely with staff scientists, bioinformaticians, and other team members to support large-scale collaborative projects.
  • Contribute to the training and mentoring of junior team members on technical procedures.
  • Interacts with collaborators/PIs and their lab members to discuss and evaluate results.
  • Interacts with external contacts such as staff at biotechnology and reagent companies to consult on and further develop research methods.
  • Interact with EHS (environment, health, safety) officers to ensure the smooth and safe operation of the laboratory.

What You'll Bring

Essential - 

  • Bachelor's or Master's degree in biology, molecular biology, biochemistry, genomics, bioengineering, or a related field. 
  • 1 year hands-on experience with molecular biology techniques and genomic technologies, particularly single-cell analysis methods.
  • Experience with genomic library construction methods and next-generation sequencing workflows.
  • Working knowledge of bioinformatics tools and basic programming skills (Python and/or R) for data processing and quality control.
  • Strong organizational skills and attention to detail in executing multi-step experimental workflows.
  • Excellent communication skills and demonstrated ability to work collaboratively in team-based research environments.
  • Enthusiasm for technology implementation and large-scale project coordination rather than independent hypothesis-driven research.

Nice to have -

  • 3+ years of relevant research experience, or PhD in a relevant field with a keen interest in performing hands-on work in large-scale multiomics and immune profiling team settings.

Compensation

The New Haven, Connecticut base pay range for a new hire in this role is $68,000.00 - $93,500.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice. 
  • Funding for select family-forming benefits. 
  • Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Onsite