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Full-Time

Behavioral Health Care Manager

Confirmed live in the last 24 hours

Menlo Ventures

Menlo Ventures

51-200 employees

Invests in transformative technology companies

Fintech
Cybersecurity
AI & Machine Learning

Compensation Overview

$70k - $90kAnnually

Mid

Bentonville, AR, USA

Hybrid role requiring on-site presence in Bentonville, Arkansas once or twice per week.

Category
Nursing & Allied Health Professionals
Medical, Clinical & Veterinary
Requirements
  • You hold one of the following licenses: Licensed Clinical Social Worker (LCSW), Licensed Master Social Worker (LMSW/LSW), Clinical Professional Counselor (CPC), Licensed Professional Counselor (LPC) Licensed Psychologist (PH.D or PsyD), or Certified Oncology Social Worker (OSW-C).
  • Dedicated to providing evidenced-based care and have a demonstrated ability to collaborate and communicate effectively in a team setting.
  • Prior experience interacting with physicians and collaborating with a multidisciplinary team.
  • Have a passion for delivering quality behavioral health care.
  • Ability to operate with a high degree of autonomy.
  • Ability and willingness to be on-site once or twice per week (estimate) at our partner practice in Bentonville, Arkansas.
Responsibilities
  • Develop a trusted, effective working relationship with the partner oncology practice team.
  • Work on-site and virtually within a partner oncology group to support patients, clinicians, and practice staff with the identification and intake of patients needing behavioral health support.
  • Support the mental health of cancer patients on an assigned patient caseload.
  • Provide brief behavioral interventions tailored for the cancer setting.
  • Screen and assess patients for common mental health and substance abuse disorders.
  • Facilitate patient engagement and follow-up care.
  • Provide patient education about common mental health and substance abuse disorders and the available treatment options.
  • Systematically track treatment response and monitor patients for changes in clinical symptoms and treatment side effects or complications.
  • Support psychotropic medication management as prescribed by medical providers, focusing on treatment adherence monitoring, side effects, and effectiveness of treatment.

Menlo Ventures specializes in investing in transformative technology companies, particularly in the areas of generative artificial intelligence and AI-driven pricing technologies across consumer, enterprise, and healthcare sectors. Their focus is on supporting businesses that are reimagining life and work through these innovative technologies.

Company Stage

N/A

Total Funding

$1.7B

Headquarters

Menlo Park, California

Founded

1976

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Simplify's Take

What believers are saying

  • The Anthology Fund offers startups not only financial backing but also $25,000 worth of credits to use Anthropic’s AI models, providing a significant technological advantage.
  • Menlo Ventures' extensive company-building experience combined with Anthropic's AI expertise can catalyze innovation and shape the future of AI in the startup ecosystem.
  • The fund's lightweight diligence process can accelerate funding decisions, allowing startups to quickly access capital and resources.

What critics are saying

  • The competitive landscape in AI, particularly with giants like OpenAI, could pose challenges for startups backed by the Anthology Fund.
  • The success of the fund is heavily reliant on the performance and adoption of Anthropic's AI models, which may face market resistance.

What makes Menlo Ventures unique

  • Menlo Ventures' collaboration with Anthropic to launch the $100M Anthology Fund specifically targets early-stage AI startups, setting it apart from generalist venture funds.
  • The fund's focus on leveraging Anthropic's pioneering AI technology and deep research expertise provides a unique value proposition for startups.
  • Menlo Ventures' use of a proprietary machine learning tool to score and rank applications introduces a data-driven approach to venture capital, enhancing decision-making efficiency.