1

Marker Learning Jobs in California (NOW HIRING)

Coordinate with the course faculty, advisors, and the Learning Resource Center to ensure that students who are currently enrolled in success marker courses are actively engaged in tutoring and ...

Coordinate with the course faculty, advisors, and the Learning Resource Center to ensure that students who are currently enrolled in success marker courses are actively engaged in tutoring and ...

They're learning how to manage their clients including: setting/meeting clear expectations ... Our US and UK hubs enable global support, strengthened by our joint venture as Marker Collective ...

They're learning how to manage their clients including: setting/meeting clear expectations ... Our US and UK hubs enable global support, strengthened by our joint venture as Marker Collective ...

CathX Assembler III

San Jose, CA · On-site

$19 - $23.50/hr

Marker Band Placement-for Braided Shafts * General Inspection * Specialized Inspection * Packaging ... need across shifts, while open to learning, and training in new processes as required

CathX Assembler III

San Jose, CA · On-site

$18.75 - $23.25/hr

Marker Band Placement-for Braided Shafts * General Inspection * Specialized Inspection * Packaging ... need across shifts, while open to learning, and training in new processes as required

CathX Assembler III

San Jose, CA · On-site

$19 - $23.50/hr

Marker Band Placement-for Braided Shafts * General Inspection * Specialized Inspection * Packaging ... need across shifts, while open to learning, and training in new processes as required

Marker Learning information

See California salary details

$26

$40

$68

How much do marker learning jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for marker learning in California is $40.16, according to ZipRecruiter salary data. Most workers in this role earn between $29.18 and $52.21 per hour, depending on experience, location, and employer.

What is Marker Learning?

Marker Learning is a company that provides specialized educational support and tutoring services for students with learning differences such as dyslexia, ADHD, and other learning disabilities. Their programs are designed to help students build confidence, improve academic performance, and develop skills tailored to their unique needs. Marker Learning connects students with certified learning specialists who offer personalized, evidence-based instruction, often through online platforms.

What is a Marker Learning?

A Marker Learning job typically involves assessing and grading student work, providing feedback, and ensuring academic standards are met. This role is often found in educational institutions, testing organizations, or e-learning platforms. Responsibilities may include evaluating assignments, exams, or projects based on predefined criteria. Strong attention to detail, subject expertise, and familiarity with assessment methods are essential for success in this role.

What are the key skills and qualifications needed to thrive as a learning specialist at Marker Learning?

To thrive as a Learning Specialist at Marker Learning, you need a background in education, psychology, or special education, often supported by relevant degrees and certifications such as a teaching license or educational diagnostician credential. Familiarity with digital assessment tools, learning management systems, and remote communication platforms is typically required. Strong interpersonal skills, empathy, and the ability to communicate complex information clearly are essential soft skills. These competencies enable specialists to effectively assess, support, and advocate for students with learning differences in both virtual and in-person settings.

What are some common challenges Marker Learning specialists face when supporting students with diverse learning needs?

Marker Learning specialists often work with students who have a wide range of learning differences, which can present unique challenges. Adapting instructional strategies to meet individual needs, managing varying levels of engagement, and ensuring effective communication with families and teachers are typical hurdles. Collaboration and flexibility are key, as specialists regularly adjust lesson plans and interventions based on ongoing student progress. Building trust with students and maintaining detailed documentation are also essential aspects of the role.

What are popular job titles related to Marker Learning jobs in California?

For Marker Learning jobs in California, the most frequently searched job titles are:

What job categories do people searching Marker Learning jobs in California look for?

The top searched job categories for Marker Learning jobs in California are:

Infographic showing various Marker Learning job openings in California as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $83,540 per year, or $40.2 per hour.

Biostatistics Scientist (Plant Science)

Woodland, CA • On-site

$59K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 hours ago


Job description


JOB SUMMARY

The Biostatistics Scientist supports applied statistical analysis, quantitative genetics, and breeding analytics for vegetable crop research programs. This entry-level role contributes to genomic, phenotypic, and field-trial data analysis under the guidance of senior scientists, managers and cross-functional project teams. The position helps develop reliable, reproducible analytical workflows that improve trait evaluation, marker-assisted selection, genomic prediction, and data-driven breeding decisions.

Key Responsibilities

Statistical Analysis, Quantitative Genetics & Genomic Prediction

  • Support the development, testing, and interpretation of statistical and genomic prediction models for vegetable crop breeding programs.
  • Apply standard statistical and quantitative genetics methods, such as mixed models, heritability estimation, genetic correlations, and basic genomic prediction approaches.
  • Assist with evaluating model performance, prediction accuracy, and data quality across populations, environments, and breeding stages.
  • Contribute to analyses that help breeders understand trait variation, experimental results, and selection opportunities.
  • Document methods, assumptions, code, and results clearly to support reproducibility and team review.

Molecular Marker & Trait Analytics

  • Analyze molecular marker datasets, including SNP and haplotype data, to support trait mapping, marker validation, and breeding decisions.
  • Assist molecular and breeding teams with data summaries for marker development, marker deployment, and trait evaluation projects.
  • Support quality control of genotypic and phenotypic datasets, including data cleaning, formatting, consistency checks, and basic exploratory analysis.
  • Help prepare selection metrics, trait summaries, and visualizations that integrate multiple sources of breeding data.
  • Translate analytical results into concise summaries that can be reviewed by breeders, molecular scientists, and project teams.

Genomic, Phenotypic & Field Trial Data Analysis

  • Prepare, manage, and analyze genomic, phenotypic, greenhouse, and field-trial datasets under guidance from senior team members.
  • Develop and maintain reproducible scripts for data quality control, statistical analysis, visualization, and reporting.
  • Contribute to the improvement of analytical templates, reporting workflows, and shared data practices in collaboration with bioinformatics and data teams.

Project Support & Cross-Functional Collaboration

  • Support analytical components of breeding, trait development, molecular marker, and technology projects.
  • Collaborate with breeders, phenotyping, molecular biology, bioinformatics, and data teams to understand project objectives and data requirements.
  • Prepare clear technical summaries, tables, figures, and presentations to communicate results to internal stakeholders.
  • Learn and apply current methods in biostatistics, quantitative genetics, breeding analytics, and reproducible scientific computing.


Required Qualifications

Education

  • PhD in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or a related field; industry experience a plus
    or
  • MS in Biostatistics, Statistics, Quantitative Genetics, Plant Breeding, Computational Biology, Data Science, or a related field with 0–2 years of relevant academic, internship; industry experience a plus


Experience & Technical Skills

  • Foundational training in statistics, biostatistics, quantitative genetics, plant breeding, computational biology, or related analytical disciplines.
  • Experience with statistical analysis of biological, genomic, phenotypic, field-trial, or experimental datasets through graduate research, internships, or applied projects.
  • Working knowledge of statistical programming in R, Python, SAS, or similar tools.
  • Good understanding of experimental design, mixed models, regression, data visualization, and reproducible analytical workflows.
  • Experience with molecular markers, genomic data, plant breeding concepts, or trait analysis is desirable.
  • Ability to learn new methods, manage multiple analytical tasks, and deliver accurate results with guidance.
  • Strong attention to detail, scientific curiosity, communication skills, and willingness to collaborate across disciplines.

Preferred Qualifications

  • Research experience in plant breeding, seed industry research, agricultural biotechnology, or applied life-science data analysis.
  • Experience in genomic prediction, QTL mapping, GWAS, marker-assisted selection, or trait discovery workflows.
  • Familiarity with breeding databases, phenotyping systems, laboratory information systems, or integrated data platforms.
  • Experience preparing figures, tables, dashboards, or technical reports for scientific or cross-functional audiences.
  • Exposure to cloud-based, Linux, Git, or high-performance computing environments for data analysis.
  • Interest in applying AI, machine learning, and modern statistical methods to practical breeding and research questions.

Competencies & Behaviors

  • Demonstrates curiosity, initiative, and accountability in learning new analytical methods and scientific workflows.
  • Applies statistical methods carefully, with attention to data quality, assumptions, and reproducibility.
  • Works collaboratively with scientists from breeding, molecular biology, phenotyping, bioinformatics, and data teams.
  • Communicates analytical results clearly to both technical and non-technical audiences.
  • Manages assigned tasks effectively, asks timely questions, and follows through on deliverables.
  • Contributes to a culture of scientific rigor, continuous improvement, teamwork, and practical problem solving.

Reporting Structure

  • Reports to Senior Biotech Manager

Works under the guidance of senior scientists, project leads, and cross-functional research teams

BENEFITS:

Health & Wellness
Medical, Dental & Vision Insurance
Monthly Wellness Stipend
Employee Assistance Program (EAP)

Employee Philanthropic Giving Program 

Disability Insurance (plans vary by location)


Financial Benefits
401(k) Program + Company Match
Profit Sharing Program (via 401(k)

Holiday Bonus

Performance Incentive Bonus Program
Tuition Reimbursement

529 College‑Savings Plan
Company-Paid Basic Life & AD&D Insurance


Time Off & Flexibility
Paid Vacation
Paid Sick Leave
15 Paid Company Holidays
2 Floating Holidays 

Birthday Off