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Project Learning Tree Jobs in California (NOW HIRING)

Jensen Landscape Services

Mechanic

Milpitas, CA

$28 - $38/hr

We are a values-based learning organization committed to being the best place to work as a ... Monarch Tree Services is currently looking for Mechanic with experience operating arbor specific ...

Monarch Landscape Companies

Mechanic

Milpitas, CA · On-site

$28 - $38/hr

We are a values-based learning organization committed to being the best place to work as a ... Monarch Tree Services is currently looking for Mechanic with experience operating arbor specific ...

Arcadia Science

Platform Fellow

Emeryville, CA

$8K - $12K/mo

... projects at the intersection of machine learning, statistics, and evolutionary biology. Fellows ... the tree of life. The ideal candidate is comfortable with ambiguity, moves quickly, and ...

Arcadia Science

Platform Fellow

Emeryville, CA · On-site

$8K - $12K/mo

... projects at the intersection of machine learning, statistics, and evolutionary biology. Fellows ... the tree of life. The ideal candidate is comfortable with ambiguity, moves quickly, and ...

Arcadia Science

Platform Fellow

Emeryville, CA · On-site

$56K - $76K/yr

... projects at the intersection of machine learning, statistics, and evolutionary biology. Fellows ... the tree of life. The ideal candidate is comfortable with ambiguity, moves quickly, and ...

G2 Ops, Inc.

Senior Systems Engineer

El Segundo, CA · On-site

$130K - $180K/yr

Team members support mission-focused projects alongside highly skilled technical professionals ... We encourage continuous learning, cross-training, and professional growth while empowering team ...

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How much do project learning tree jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for project learning tree in California is $50.73, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $59.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Project Learning Tree Coordinator, and why are they important?

To thrive as a Project Learning Tree Coordinator, you need a background in environmental education, strong organizational abilities, and experience in curriculum development—often supported by a relevant degree in education or environmental science. Familiarity with educational technology platforms, workshop facilitation tools, and knowledge of Project Learning Tree resources is typically required. Outstanding communication, leadership, and collaboration skills help in building partnerships and engaging diverse audiences. These competencies are crucial for effectively delivering environmental education programs and expanding their reach and impact.

What is the difference between Project Learning Tree vs Environmental Educator?

AspectProject Learning TreeEnvironmental Educator
CredentialsTypically no formal credentials required; training providedOften requires a degree in environmental science, education, or related field
Work EnvironmentClassroom, outdoor settings, workshopsSchools, nature centers, parks, community programs
Industry UsageUsed as a curriculum resource and training programProfessionally employed to educate about environmental issues
Search/Comparison IntentUnderstanding program differences or training optionsCareer options or job roles in environmental education

Project Learning Tree is primarily a curriculum and training program aimed at educators and volunteers, focusing on environmental education through workshops and resources. Environmental Educator is a professional role involving teaching environmental topics in various settings, often requiring formal education and certifications. While both focus on environmental awareness, one is a program and the other a career path.

What types of projects and daily tasks can I expect to work on as part of the Project Learning Tree team?

As a member of the Project Learning Tree (PLT) team, you will typically engage in developing and delivering environmental education programs, collaborating with educators and community partners, and supporting curriculum design. Daily tasks may include creating educational resources, organizing training workshops, and evaluating program outcomes. You will also frequently collaborate with other team members, such as education coordinators and outreach specialists, to ensure effective program implementation and continuous improvement. This role offers opportunities for creativity and impact, as well as professional growth in the environmental education sector.

What is Project Learning Tree?

Project Learning Tree (PLT) is an environmental education program designed to engage students and educators in learning about forests, trees, and the natural environment. It provides curriculum resources, training, and activities focused on sustainability and environmental stewardship. PLT aims to foster critical thinking, problem-solving, and decision-making skills while encouraging a deeper understanding of environmental issues. The program is widely used in schools and by community organizations to support hands-on, interdisciplinary learning.
What are popular job titles related to Project Learning Tree jobs in California? For Project Learning Tree jobs in California, the most frequently searched job titles are:
What job categories do people searching Project Learning Tree jobs in California look for? The top searched job categories for Project Learning Tree jobs in California are:
Project Learning Tree jobs near you
Infographic showing various Project Learning Tree job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,525 per year, or $50.7 per hour.

Principal Scientist, Computational Chemistry

Deep Apple Therapeutics, Inc

South San Francisco, CA • On-site

$135K - $170K/yr

Full-time

Posted 23 days ago

Job description

About Us Deep Apple Therapeutics, part of the Apple Tree Partners (ATP) portfolio, is a Bay Area biotechnology company focused on accelerating drug discovery by integrating molecular docking and structural biology with advanced computer-aided drug design (CADD) technologies. Our state-of-the-art platform combines advanced computational modeling, large-scale compound docking, cryo-EM-based structural biology, and deep learning to drive the efficient identification and development of novel therapeutics.
Role Description We are seeking an experienced Computational Scientist to support and advance our computational initiatives in virtual hit discovery and traditional CADD for our portfolio programs. You will join a collaborative team of computational chemists, data scientists, machine learning engineers and medicinal chemists to integrate deep learning models into our drug discovery pipeline. This role will enhance our virtual screening capabilities, optimize molecular design, and facilitate cross-functional collaboration to translate computational insights into viable therapeutic leads. The ideal candidate will bring more than five years of expertise in computational modeling and proven support of drug discovery teams.
Key Responsibilities
  • Lead the implementation of virtual hit discovery, including ligand-based and structure-based modeling, on a program-by-program basis.
  • Deploy deep learning models, including generative AI for molecular design, to predict molecular properties, binding affinities, and ADMET profiles for portfolio programs.
  • Collaborate closely with biology, medicinal chemistry, and machine learning teams to validate computational predictions through iterative feedback loops to accelerate pipeline programs.
  • Drive strategic initiatives, including partnerships with academic institutions, technology companies, and CROs, to strengthen our virtual hit discovery capabilities.
  • Stay current with emerging technologies in computational chemistry and deep learning, incorporating them into our pipeline to maintain a competitive edge.
  • Manage project timelines, budgets, and resources while ensuring compliance with data integrity and intellectual property standards.

Required Qualifications and Skills
  • Ph.D. in Computational Chemistry, Cheminformatics, Bioinformatics, or a related field.
  • Minimum of 5 years of professional experience in computational modeling within the biotechnology or pharmaceutical industry, including at least 1-2 years in a computational program leadership role.
  • Strong track record in virtual hit discovery and/or CADD, with demonstrated success leading to IND-ready assets.
  • Proficiency in programming languages such as Python, with extensive experience in data analysis, machine learning pipelines, and high-performance computing.
  • Excellent communication skills, with the proven ability to translate complex technical concepts to non-expert audiences.

At Deep Apple, we value diversity, encourage professional growth, and provide competitive benefits and compensation.
Deep Apple is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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