You will be expected to serve as Oncology biology lead for one or more pipeline programs, working collaboratively with cross-functional teams to ensure the timely generation and dissemination of critical program data to enable milestone progression decisions. You will help set program strategy, and will be responsible for the delivery of key pre-clinical data that support a strong biological rationale for program progression.

As a highly organized, self-motivated individual with a strong background in cancer biology, you will stay up to date with relevant technical and intellectual scientific expertise in tumor biology and cancer modelling, particularly as it relates to antibody drug conjugates, and have a genuine passion for this field of research.

Main duties and responsibilities:

• Serve as Oncology biology lead for one or more pipeline programs
• Work collaboratively with cross-functional teams to ensure timely generation and dissemination of critical program data
• Help set program strategy and deliver key pre-clinical data
• Manage and mentor a team of direct reports

Essential requirements:

• Ph.D. with 5-10 years of research experience or Master’s degree with 8+ years within the pharmaceutical industry
• Demonstrated ability to lead cross-functional project teams
• Demonstrated management and leadership skills and a passion for mentorship
• Strong knowledge of solid tumor cancers, in-vitro and in-vivo pre-clinical models of cancer, cell biology, molecular biology, and/or biochemistry in the context of cancer biology
• Excellent verbal and written communication, presentation, and interpersonal skills

Desirable requirements:

• Prior experience in the biopharmaceutical industry
• Prior experience with antibody-drug conjugates

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The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design

• Analyze, visualize, and communicate results to support team efforts in improving models and data

• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production

• Work with biologists to collect data for the training and evaluation of generative models of biomolecules

• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models

• Demonstrated track record of implementing, training, improving advanced machine learning models

• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework

• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET

• Readiness to travel several times a year for company retreats and business events

Compensation

$200K – $275K + Bonus + Equity

Benefits

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based employees

• 401K with company match for US based employees and Direktversicherung for German employees

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

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