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Iambic

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About

Iambic is an AI-driven platform focused on charting new paths to superior medicines by tackling challenging design problems in drug discovery. Its cutting-edge, physics-based AI algorithms drive a high-throughput experimental platform, converting new molecular designs to new biological insights weekly. The platform optimizes target product profiles by exploring multiple profiles in parallel, ensuring molecules solve the right problems in disease biology. It also optimizes drug candidates by deeply exploring chemical space, revealing novel mechanisms of action and delivering diverse high-quality leads. Iambic emphasizes innovation through accurate, data-efficient physics-based AI, automation via AI-driven high-throughput experimentation, and execution, delivering a proprietary pipeline of differentiated clinical candidates years faster than the industry standard. They are unlocking the untapped potential of known targets and transforming seemingly undruggable targets into opportunities for breakthrough treatments.

Platform
Web
Task
drug discovery

Features

physics-based ai algorithms

proprietary pipeline of differentiated clinical candidates

ai-driven, high-throughput experimentation

accurate and data-efficient physics-based ai technologies

optimization of drug candidates

optimization of target product profiles

high-throughput experimental platform

ai-driven platform for drug discovery

Job Opportunities

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Iambic

Sr Project Manager, Clinical Development Operations

Iambic is a cutting-edge AI-driven platform that tackles challenging drug design problems, optimizing medicines and accelerating the discovery of novel therapeutics.

operationshybridSan Diego, US
$148K - $185K
full-time

Benefits:

  • industry leading competitive pay

  • company paid healthcare

  • flexible spending accounts

  • voluntary life insurance

  • 401K matching

Education Requirements:

  • Bachelor’s degree in science or engineering field

  • Master’s degree

Experience Requirements:

  • 7+ years of project management experience in the pharmaceutical or biotechnology industry

  • 5+ years of relevant experience

Other Requirements:

  • Oncology experience preferred

  • Proven ability to manage timelines, cross-functional coordination, and third-party vendor relationships

  • Familiarity with regulatory submission processes

  • Excellent organizational, communication, and interpersonal skills with the ability to work across disciplines and levels

  • Proficiency in project management tools (e.g., MS Project, Smartsheet, SharePoint, or similar)

Responsibilities:

  • Lead planning, execution, and tracking of project timelines and deliverables

  • Manage relationships with third-party vendors (e.g., CROs)

  • Develop, integrate, and maintain detailed project plans across development workstreams

  • Partner with the Clinical Operations team to develop, update, and track clinical study timelines

  • Facilitate internal and external team meetings by creating agendas, capturing meeting minutes and decisions, tracking action items, and ensuring timely follow-through

Show more details

Machine Learning Scientist II/Sr (Omics) - UK

Iambic is a cutting-edge AI-driven platform that tackles challenging drug design problems, optimizing medicines and accelerating the discovery of novel therapeutics.

Benefits:

  • competitive compensation package

  • pension contributions

  • flexible holiday allowances

Education Requirements:

  • PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

  • 3+ years of relevant experience

Other Requirements:

  • Demonstrated expertise applying deep learning to omics data at scale

  • Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

  • Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

  • Solid grasp of causal inference, experimental design, and statistics

  • Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

  • Identify, prioritize, and acquire multi-omics datasets

  • Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

  • Design schemes for pretraining and finetuning Enchant on multi-omics data

  • Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

  • Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

Show more details

Machine Learning Scientist II/Sr (Omics) - US

Iambic is a cutting-edge AI-driven platform that tackles challenging drug design problems, optimizing medicines and accelerating the discovery of novel therapeutics.

Benefits:

  • industry leading competitive pay

  • company paid healthcare

  • flexible spending accounts

  • voluntary life insurance

  • 401K matching

Education Requirements:

  • PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

  • 3+ years of relevant experience

Other Requirements:

  • Demonstrated expertise applying deep learning to omics data at scale

  • Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

  • Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

  • Solid grasp of causal inference, experimental design, and statistics

  • Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

  • Identify, prioritize, and acquire multi-omics datasets

  • Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

  • Design schemes for pretraining and finetuning Enchant on multi-omics data

  • Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

  • Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

Show more details

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