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 .

Staff MOCVD Scientist

MetOx International · Houston, TX

Empower Your Future: At MetOx International, we’re pioneering the next era of energy security and abundance through breakthrough superconducting technology. As the Staff MOCVD Scientist, you’ll join a dynamic team committed to strengthening the world’s energy systems to make them more resilient, efficient, and reliable.

 

Based at our global headquarters in Houston, TX, the Staff MOCVD Scientist is a subject matter expert in thin-film deposition and reaction chemistry, responsible for advancing YBCO process development using metal-organic chemical vapor deposition (MOCVD). This role drives innovation in high-temperature superconducting (HTS) film growth through deep understanding of precursor chemistry, gas-phase reactions, surface kinetics, and reactor transport phenomena.

 

This scientist leads complex scientific investigations that advance MetOx’s MOCVD deposition capabilities, develops advanced diagnostics and modeling approaches, and applies statistical and machine learning techniques to improve film quality, throughput, and reproducibility. The Staff MOCVD Scientist partners closely with materials scientists, equipment engineers, and process teams to translate scientific insight into scalable manufacturing processes supporting HTS production platforms.

 

Key Responsibilities

  • Research Execution & Innovation
    • Designs and executes scientific investigations to develop and optimize MOCVD processes for YBCO thin-film deposition using high molecular weight solid precursors.
    • Establishes precursor decomposition pathways and reaction mechanisms governing film growth.
    • Investigates gas-phase chemistry, surface adsorption and desorption kinetics, and transport phenomena that influence deposition behavior.
    • Defines and refines process windows that maximize film quality, uniformity, reproducibility, and throughput.
    • Implements and interprets in-situ and ex-situ diagnostics to understand deposition chemistry and process behavior.
    • Correlates diagnostic results with film growth outcomes and deposition performance.
    • Applies design-of-experiments (DOE) methodologies to evaluate process parameters and drive continuous improvement.
    • Develops predictive models describing deposition behavior and process sensitivity.
  • Strategy & Planning
    • Contributes to R&D roadmaps advancing HTS deposition capabilities and scaling MOCVD processes for manufacturing platforms.
    • Evaluates new precursor systems, reactor configurations, and deposition approaches to improve film performance and process capability.
    • Analyzes how reactor architecture and subsystem design influence film growth mechanisms and process stability.
    • Collaborates with equipment engineering teams to improve precursor delivery systems, reactor design, and process control strategies.
    • Applies statistical analysis, data science, and machine learning techniques to optimize process parameters, predict defects, and detect process drift.
    • Utilizes kinetic modeling, computational chemistry, or first-principles modeling to deepen understanding of reaction mechanisms and deposition physics.
  • Mentorship & Collaboration
    • Mentors engineers and scientists involved in thin-film deposition and superconducting materials development.
    • Leads cross-functional scientific investigations involving materials science, process engineering, and equipment development teams.
    • Partners with characterization teams to correlate film properties with deposition parameters and reaction mechanisms.
    • Participates in internal technical reviews and cross-functional knowledge sharing.
    • Documents experimental findings and develops internal frameworks that capture key process insights and scientific learnings.

 

Minimum Qualifications:  

  • Master’s degree in Materials Science, Chemical Engineering, Chemistry, Applied Physics or related field.
  • 4 years of relevant experience including extensive experience in MOCVD or related vapor deposition processes. An advanced degree may be substituted for required experience on a year-for-year basis, depending on relevance and level.
  • Demonstrated experience in thin film growth mechanisms, reaction chemistry precursor decomposition.

 

Preferred Qualifications: 

  • PhD degree in Chemistry, Materials Science, Physics, or related field.
  • Recognized expertise in field of study; contributes to external collaborations.
  • Direct experience with YBCO or complex oxide superconducting films, including pinning centers.
  • Experience with high-molecular-weight solid precursors.
  • Familiarity with in-situ diagnostic techniques.
  • Experience developing or modifying MOCVD reactor hardware.
  • Experience with kinetic modeling, computational chemistry, reaction pathway modeling.
  • Experience using machine learning for process development.
  • Programming experience (JMP, Python, MATLAB, or similar).

 

Knowledge, Skills, & Abilities: 

  • Strong understanding of gas-phase kinetics, surface chemistry, reactor transport phenomena
  • Hands-on experience with thin-film characterization techniques
  • Strong experimental design and statistical analysis capability
  • Strong scientific judgment and innovation mindset.
  • Capable of cross-functional technical influence.
  • Trusted mentor and communicator.

 

Physical Demands: This position requires sitting at a desk and viewing a computer screen for extended periods while working or performing other office tasks. Ability to move around the office, including occasional standing, walking, and bending to retrieve documents, attend meetings, or use office equipment. Some light lifting may be required, up to 20 lbs.

 

MetOx is proud to offer competitive benefits including:

  • Health, dental, and vision available on the first day of employment
  • 401(k) match
  • Paid parental leave & adoption assistance
  • Educational reimbursement
  • And more!

 

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.