Forward Deployed Scientist (AI Agents | Drug Discovery | Enterprise Biotech)

Carnaby Fox
South San Francisco, CA, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$190,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Bioinformatics Computational Biology Data Integration Github Python (Programming Language) Language Modeling Cloud Platform System Large Language Models Electronic Medical Records Virtual Agents
+2 more
Software Coding Automation Anywhere

Job description

You’ll work directly with enterprise scientists to understand complex research workflows, deploy AI-powered solutions, improve AI agent capabilities, and influence product direction through real customer feedback.

You’ll think like a scientist, communicate like a consultant, and execute like a product builder.

You’ll have the opportunity to:

  • Design AI-powered scientific workflows
  • Partner with leading pharmaceutical and biotech organizations
  • Improve next-generation biomedical AI agents
  • Drive enterprise adoption of AI products
  • Influence product strategy through customer insights
  • Help shape the future of AI-powered drug discovery.

What You’ll Be Building

You’ll help develop the intelligence powering AI agents across the drug R&D pipeline.

Your work will include:

Designing scientifically rigorous AI workflows for drug discovery and development

Collaborating directly with enterprise scientists to solve complex research problems

Building biomedical skills, tools, and data integrations that improve AI agent performance

Developing evaluation frameworks that ensure scientific quality, reliability, and accuracy

Delivering customer workshops, scientific training sessions, and product enablement

Working closely with Product and Engineering teams to transform customer feedback into new capabilities

Every solution you build will directly influence how leading pharmaceutical organizations leverage AI to accelerate biomedical innovation.

Requirements

We’re looking for AI-native scientists who combine deep scientific expertise with startup execution, customer empathy, and a passion for solving real-world problems.

Ideal candidates will have:

PhD (or MD/PhD) in Biology, Chemistry, Pharmacology, Bioinformatics, Computational Biology, or a related discipline

1-6 years of post-PhD industry (Startup) experience in leading pharmaceutical companies, biotechnology organizations, CROs, or life sciences consulting firms

Deep expertise in at least one stage of the drug development lifecycle:

  • Drug Discovery
  • IND-Enabling
  • Clinical & Translational Research

An AI-native mindset, actively using LLMs and AI tools to accelerate scientific workflows

Strong customer-facing experience, including scientific consulting, stakeholder engagement, solution design, workshops, or training delivery

Practical coding skills (Python preferred) with familiarity in GitHub and cloud environments

Startup experience is mandatory preferred.

Tech stack

Python, ChEMBL, PubChem, RFdiffusion, ProteinMPNN, ESM, Simcyp, GastroPlus, NONMEM, LLMs / AI Agents, Genomic Foundation Models, Protein Language Models, CDISC, EHR/Claims Data, GitHub, AWS

Who Isn’t the Right Fit?

This role is intentionally selective.

It is not designed for candidates who:

Have purely academic backgrounds without meaningful industry experience

Focus exclusively on mechanistic biology or early-stage target discovery

Lack customer-facing or stakeholder engagement experience

Have worked only in large, process-heavy organizations and are uncomfortable with startup pace and ownership

Prefer management responsibilities over hands-on scientific execution

Don’t actively leverage AI in their daily work

Have no practical coding capability

The team values scientific excellence, adaptability, ownership, customer obsession, and execution speed equally.

Hiring #ForwardDeployedScientist #ArtificialIntelligence #BiomedicalAI #DrugDiscovery #Biotech #LifeSciences #ComputationalBiology #Bioinformatics #MachineLearning #LLMs #AIAgents #StartupHiring #TechnicalRecruitment #ScientificCareers #EnterpriseAI #Pharmaceuticals #HiringNow, * Do you have 1-6 years of post-PhD or post Graduation startup industry experience in a biotech/pharma startup, CRO, or life sciences consulting firm? (Yes/No) Mandatory

  • Do you have deep expertise in at least one of these; drug discovery, IND-enabling, or clinical R&D? Mandatory
  • Do you have hands-on experience with AI Agents, LLMs, Python, GitHub, AWS, and scientific workflows in drug discovery or biomedical research? Mandatory, * Doctorate (Preferred)

About the company

The future of biomedical discovery won’t be driven solely by breakthroughs in AI-it will be driven by scientists who can successfully deploy AI into real-world research environments.

We’re hiring a Forward Deployed Scientist to bridge the gap between cutting-edge AI and enterprise drug discovery, working directly with some of the world’s leading pharmaceutical and biotechnology companies to transform scientific workflows using AI agents.

This is not a traditional research role.

It is a highly customer-facing, product-driven role where you’ll partner with scientists, understand their research challenges, design AI-powered solutions, and continuously improve the product by translating customer feedback into meaningful innovation.

About the Company

Join a venture-backed AI startup building the next generation of agentic intelligence for biomedical discovery.

Founded by pioneering researchers in AI and computational biology, the company is developing intelligent AI agents capable of understanding, reasoning through, and executing complex biomedical workflows across the drug development lifecycle.

Already trusted by approximately 20 enterprise customers, including several of the world’s largest pharmaceutical and biotechnology organizations, the platform is helping accelerate scientific discovery through production-ready AI solutions.

Backed by $13.5M in seed funding from leading venture capital firms and guided by world-renowned scientists and AI pioneers, the company combines world-class research with real commercial impact.

Operating with a flat organizational structure and a culture built around ownership, speed, innovation, and execution, every team member has the opportunity to shape both the product and the future of AI-powered biomedical discovery.

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