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    Edison Scientific

    Artificial Intelligence

    Medicinal Chemist

    Any, United StatesRemoteFull-time5+ yrs experience$220k – $300k / yearPosted 1mo ago
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    Job description

    ABOUT US
    Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
    Role
    We're looking for a Medicinal Chemist to join our Forward Deployed team, embedded directly with pharma and biotech partners alongside our engineers and computational biologists.

    Your job: make sure our AI agents produce chemistry that's credible, synthesizable, and useful to real drug discovery teams.
    You'll build benchmarks, evaluate agent outputs, and work with our medicinal chemist partners, to find where AI creates the most value in their design, synthesis, testing, and analysis cycles.
    This is onsite, hands on work. You'll build relationships with discovery leaders, translate their chemistry thinking into agent behavior, and feed insights back to our AI team to improve how our platform reasons about molecular design.
    Responsibilities
    - Improve AI agent performance to hit-to-lead chemistry tasks including SAR analysis, structure-based design, and synthetic feasibility analysis
    - Design benchmarks and acceptance criteria for chemistry focused agent workflows
    - Partner with medicinal chemists at client organizations to integrate AI agents into their discovery workflows
    - Serve as the chemistry expert on AI generated outputs, assessing structural soundness, flagging failure modes, and determining what's actionable
    - Collaborate daily with Forward Deployed Engineers and Computational Biologists on each account
    - Support engagement scoping, success metrics, and technical evaluation with our go-to-market team members.
    Requirements
    - Ph.D. in Computational Chemistry, Medicinal Chemistry, Organic Chemistry, or a related field and 5+ years of industry experience, ideally within a pharma or biotech sponsor organization
    - Track record in lead optimization campaigns from hit identification through candidate nomination
    - Deep knowledge of cheminformatics tools such as RDKit, Schrödinger, or MOE
    - Experience integrating ADMET and DMPK data into design decisions
    - Ability to travel domestically 20-40% of the time
    Nice to Have
    - Proficiency in Python
    - Experience working across multiple therapeutic areas
    - High comfort with ambiguity and fast iteration
    WHY JOIN US?
    We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it.

    We also offer full-time employees the following:
    - Competitive salary and equity
    - Full healthcare coverage; we pay 100% of premiums for you and your dependents
    - Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
    - Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
    - 12 weeks of paid parental leave for maternity, paternity, and adoption
    - Pet care support with a yearly employer-funded stipend for your animal companions
    - Commuter benefits so you can pay for transit and parking with pre-tax dollars
    - 401(k) company matching
    - $300 health and wellness benefit quarterly
    - Lunch is on us every day you're in the office, and dinner is on us when you're working late
    - Regular team off-sites and company events
    Edison Scientific is an equal opportunity employer.

    We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

    Job details are sourced from the employer's original posting.

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    About the company

    Edison Scientific

    Edison Scientific is a company focused on applied ML research and the application of ML methods to solve real-world problems. They emphasize experience across the entire ML lifecycle, from data pipelines to model deployment and validation in production systems.

    View all Edison Scientific jobs
    Industry
    Artificial Intelligence
    Open roles
    106

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