Stars
Substance Abuse Counselor
Los Angeles, CA USA
Sponsorship not specifiedDetected 15 days ago
About the role
- This position is responsible for providing individual, group and collateral counseling and other supportive services which are appropriate to the participant's recovery process.
Responsibilities
- Partner with us in making a positive change!
- We're proud to have been certified as a Great Place to Work for 8 years by our own employees.
- Partner with family members, school administrators and faculty, county social workers, case managers, probation officers, and other agencies.
- Career development programs designed to help you grow.
Requirements
- High School Diploma (Required).
- 1 year of experience providing substance use prevention and treatment services.
- Registered Alcohol/Drug Technician (must complete the certification program within the required timeframe) OR
- Valid California Driver's License (Required)
- Los Angeles, CA (traveling required) Working Hours/Shift:
Skills
- Bilingual in Spanish is highly preferred.
- Facilitates various education and awareness workshops on topics appropriate to recovery.
- Assists clients in recovery and discharge planning.
- Division/Program Overview:
- Community Based programs.
- Provides programs for children, adolescents, and transitional age youth (TAY) with Mental Health services.
- Utilize Evidence Based Practice (EBP) to ensure clients make positive changes in their life.
- Learn more about SBHG at: https://www.starsinc.com/stars-inc/
Compensation
- 22.84 - 24.24 USD Per Hour | Actual starting pay will be determined based on qualifications, experience, skills, and other relevant factors.
- Offering a salary that matches your skills and experience.
- Generous Time Off: Enjoy ample vacation and holiday pay.
Benefits
- Employer-paid medical, dental, and vision coverage.
- Additional voluntary benefits to support your lifestyle.
- We invite you to partner with us in our mission to improve mental healthcare.
This listing is sourced directly from Stars's careers page and normalized into a canonical job model.