Drug Discovery Lead - AI in ADC Development

Permanent employee, Full-time · Eschborn

Your mission

As a Drug Discovery Lead in AI for ADC Development, you will be instrumental in shaping the future
of cancer treatment. Your expertise in both artificial intelligence and drug discovery will drive the
development of next-generation ADCs, leveraging computational methods to predict, design, and
optimize these powerful therapies. Your leadership will not only advance our drug discovery pipeline
but also contribute to the broader goal of transforming patient outcomes in oncology.

How to Apply:
Please submit your CV, cover letter, and any relevant publications or project portfolios. We are committed to diversity and inclusion and encourage all qualified individuals to apply.

Your Responsibilities

Lead a multidisciplinary team of scientists and engineers in the application of AI and machine learning (ML) algorithms to identify novel targets and design ADCs with enhanced efficacy and safety profiles.
Oversee the integration of AI tools with experimental data to streamline the ADC development process, from target validation through to preclinical testing.
Collaborate with bioinformatics and cheminformatics teams to harness large datasets for predictive modeling and molecular simulations.
Develop and maintain partnerships with academic, clinical, and industry partners to enrich our AI capabilities and drug discovery pipeline.
Stay abreast of and contribute to advancements in AI, drug discovery technologies, and oncology research.
Ensure projects adhere to scientific and ethical standards, with a commitment to precision medicine and patient safety.
Mentor team members, fostering a culture of innovation, collaboration, and continuous learning.

Your profile

PhD in Computational Biology, Chemical Engineering, Bioinformatics, or a related field.
Minimum of 5 years of experience in drug discovery, with a strong focus on AI and ML applications in biopharmaceuticals.
Proven track record in ADC development, from target identification to lead optimization.
Deep understanding of oncology, molecular biology, and the mechanisms of action of ADCs.
Expertise in data science and computational modeling, with experience in software and tools relevant to drug discovery.
Exceptional leadership skills, with the ability to inspire and manage a high-performing team.
Excellent communication and collaboration skills to effectively work with internal teams and external partners.

Why Us?

A competitive salary and benefits package.
The opportunity to be at the cutting edge of AI in drug discovery.
A collaborative, inclusive, and dynamic work environment.
Professional growth opportunities in a rapidly expanding company.

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About us

Partex NV is the first digital pharma platform that is set to be the largest AI-powered Drug Assets Manager.

Our unique approach is enabled by a decentralized Real World Data exchange and an AI-powered & validated decision-making capability. We cover all key steps in the drug discovery and drug development value chain.

What sets us apart:

- Within the Partex ecosystem, patients keep ownership of their data and they are rewarded for participating in research projects

- Our AI/ML algorithms enable key industry players to develop life-saving drugs while also developing our own drug assets

- A strong history of success and performance: from humble software beginnings to a fully-fledged platform with over 500 employees across 3 continents

With the power of AI at its core, Partex delivers faster, lower-cost healthcare innovations, validated by wet-lab and real world evidence. Our pioneering digital platform enables smarter decision-making throughout the entire value chain. We dare to care!

We have a global presence that extends from APAC to the Americas, with offices currently in India, Germany, Switzerland and USA.

Partex Group Companies: www.innoplexus.com , www.cureteq.com , www.perpetualblock.io , www.amrit.ai , www.assay.works.

We are looking forward to hearing from you!

Thank you for your interest in Partex NV. Please fill out the following short form to apply for the position.