6 months ago
Base Salary
$170k - $300k/yr
Responsibilities
- Scope and lead AI augmentation and automation projects across the product surface area.
- Develop applications for classification, data extraction, summarization, content generation, reference-based search and question answering, prediction, workflow triggering, and multimodal LLM-powered bots.
- Evaluate open-source models, proprietary models, and custom fine-tuning approaches using rigorous experimentation and evaluation protocols.
- Develop algorithms and techniques for natural language processing, data extraction, autonomous reasoning, few-shot learning, agentic reasoning, and multimodal interaction.
- Automate complex insurance, affordability, fulfillment, clinical study, and biopharma workflows using AI/ML, RPA, and scraping approaches.
- Build state machines, robust data and ML pipelines, predictive and simulation models, and consumer-grade AI-powered workflows.
- Translate heterogeneous data into insights for clinical indication selection, launch markets, insurer negotiations, drug adoption, and clinical trial performance.
- Own projects end to end from definition and design through development, launch, and measurement of business impact.
Requirements
- Strong programming skills and general computer science knowledge.
- ML/NLP research background demonstrated through top-tier conference publications or significant open-source contributions.
- Experience solving complex ML problems such as data-efficient learning, reasoning agents, or multi-step workflows and deploying solutions in production.
- Deep understanding of transformer architectures, attention mechanisms, reinforcement learning, and multimodal models.
- Proficiency with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong written and verbal communication skills.
- Demonstrated ability to move quickly, find shortcuts, and deliver against ambitious goals.
- The listed qualifications are ideal, and candidates do not need to meet every qualification to apply.
Benefits
- Full-time roles are fully in person in New York, with the team working from an office in SoHo.
- Competitive compensation and meaningful equity for full-time employees.
- Fully covered medical, vision, and dental insurance.
- Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
- Unlimited paid time off and 16 weeks of parental leave.
- 401(k) plan, FSA option, commuter benefits, and DashPass.
- Lunch at the office every day and dinner after 6:30 p.m.
Tech Stack
PyTorchTensorFlow
Categories
About Forus
Forus builds an AI-powered healthcare network and software that connects physicians, pharmacies, insurers, and biopharma to speed therapies to patients. It sells enterprise platforms and data services that coordinate prescribing, benefits, and clinical workflows across stakeholders. Privately held and based in New York, the company is backed by Thrive Capital, General Catalyst, and Accel.