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SRG

Principal Scientist

SRG Cambridge


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    SRG

    Principal Scientist

    SRG Cambridge
    Status Open
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    What we ask

    Education

    No minimum education required

    Job description

    Principal Scientist (DMPK)

    Permanent

    Cambridge


    A leading biotech organisation is seeking a Principal Scientist with deep DMPK and quantitative pharmacology expertise to support oncology-focused discovery and early development programmes.


    You will define and drive translational DMPK strategies across the pipeline, applying mechanistic modelling and pharmacology insight to guide decision-making from lead optimisation through to IND. Working cross-functionally, you will play a key role in shaping programme direction and ensuring high-quality progression of assets toward the clinic.


    Key Responsibilities:


    • Define and implement translational DMPK strategies across multiple programmes, from lead optimisation to clinical candidate selection.
    • Develop and apply PK/PD, PBPK, and other mechanistic models to inform dose, schedule, and exposure-response relationships.
    • Integrate in vitro, in vivo, and in silico data to support decision-making and improve translational confidence.
    • Partner closely with chemistry, biology, toxicology, and clinical teams to guide programme strategy.
    • Contribute to human dose prediction and support first-in-human study design.
    • Provide scientific leadership within project teams and across the wider DMPK function.
    • Oversee external collaborations and CRO activities where required.
    • Mentor and support development of junior scientists within the team.
    • Present data and strategic recommendations clearly to internal stakeholders and external collaborators.


    Key Requirements:


    • PhD (or equivalent experience) in a relevant scientific discipline, with significant industry experience in drug discovery and early development.
    • Strong expertise in DMPK and quantitative pharmacology, including PK/PD and PBPK modelling.
    • Experience applying modelling and simulation to support candidate selection and clinical translation.
    • Familiarity with tools such as Phoenix WinNonlin, NONMEM, MATLAB, or similar.
    • Proven ability to work in cross-functional project teams and influence decision-making.
    • Experience supporting programmes from discovery through to IND/early clinical development.
    • Excellent communication skills and the ability to translate complex data into clear insights.
    • Prior leadership or mentoring experience is desirable.


    Apply now by attaching your CV in Word, or contact Paige Keenan (paige.keenan@srgtalent.com) for further information about this opportunity.

    About the employer

    SRG
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