Pear VC

Machine Learning Research Scientist - Valar

San Francisco, California, United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Biotechnology, HealthcareIndustries

Requirements

Candidates should have an MS or PhD in Computer Science, Electrical Engineering, Bioinformatics, Statistics, or Biomedical Data Science. They must also have 1-2 first author research papers published in top conferences or journals.

Responsibilities

The Machine Learning Research Scientist will be a core contributor to clinical grade deep learning products and will architect key components of the deep learning platform. They will train robust and interpretable deep learning models for impactful medical tasks and design purpose-built datasets alongside medical oncologists to tackle clinically relevant questions. Additionally, they will build full stack deep learning solutions from research to deployment.

Skills

Deep Learning
Data Science
Model Training
Model Deployment
Data Design
Medical Data
Research
Computer Science
Bioinformatics
Statistics

Pear VC

Venture capital firm for early-stage startups

About Pear VC

Pear VC specializes in providing venture capital for pre-seed and seed stage investments. The firm collaborates with founders to transform innovative ideas into successful companies across various sectors, including AI, healthcare, fintech, and more. Their investment strategy focuses on early-stage startups, offering not just financial support but also expertise and a strong network to help these businesses grow. Pear VC distinguishes itself from competitors through its hands-on approach, providing strategic advice and operational assistance to ensure startups remain agile and focused on their customers. The goal of Pear VC is to guide startups through their early development phases, helping them achieve significant growth and success.

Key Metrics

San Francisco, CaliforniaHeadquarters
2013Year Founded
$2,738.4MTotal Funding
UNKNOWNCompany Stage
Venture Capital, Fintech, AI & Machine LearningIndustries
51-200Employees

Risks

Increased competition from other VC firms in AI and biotech sectors.
Potential overvaluation of startups could lead to investment losses.
Regulatory challenges in biotech and healthcare may impact growth strategies.

Differentiation

Pear VC specializes in pre-seed and seed investments across diverse sectors.
The firm offers hands-on strategic advice and operational support to startups.
Pear VC focuses on innovation in AI, fintech, SaaS, healthcare, and deep tech.

Upsides

Growing interest in AI-driven healthcare solutions presents new investment opportunities.
Rising demand for cell engineering platforms suggests lucrative biotech investments.
Fitness tech startups focusing on community building are gaining traction.

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