Director, In Silico Discovery, Protein Therapeutics/Computational Antibody Design
Johnson & JohnsonAbout the role
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Job Function:
Discovery & Pre-Clinical/Clinical DevelopmentJob Sub Function:
Biological ResearchJob Category:
People LeaderAll Job Posting Locations:
Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of AmericaJob Description:
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for the role of Director, In Silico Discovery, Protein Therapeutics/Computational Antibody Design within our In Silico Discovery Team. The preferred location for this position is Spring House, PA. Consideration will also be given for individuals to be located in San Diego, CA and Cambridge, MA.
We are seeking creative, self-motivated leader to join our In Silico Discovery Protein Therapeutics team. We are expanding our AI/ML capabilities across antibody design and multifunctional molecule optimization and are seeking a visionary leader to drive this initiative. The candidate will be a highly collaborative leader interested in impacting biologics design and development using computational techniques. This is an exciting opportunity to join an enthusiastic, diverse, and global community of in silico scientists committed to bringing innovative new medicines to patients.
The Director will lead a core group of scientists and data scientists and will be responsible for setting and executing the strategy for internal and external innovation in evolving areas of antibody design and multifunctional molecule optimization. This will include working with other teams within In Silico Discovery and Biologics Discovery to lead in the establishment and execution of strategic initiatives in computational design and AI/ML within this biologics space. Significant time will be spent engaged in collaborations, change management, external engagement, and keeping in the forefront of this evolving area. This role will report to the Senior Director of In Silico Discovery, Protein Therapeutics.
Primary Responsibilities
- Key contributor in developing a comprehensive strategy to stay in the forefront of innovation in computational design and AI/ML for Protein Therapeutics.
- Develop and implement the computational biologics design and optimization strategy.
- Partner closely with Biologics Discovery teams to build custom predictive and AI/ML tools for biologics design and optimization.
- Mentor junior scientists, fostering their development as expert informatics scientists.
- Engage in industry consortia and represent Janssen and In Silico Discovery in key initiatives.
- Periodically be tasked with evaluating and making recommendations for the acquisition or building of new technologies. This may include performing Due Diligence on potential partnering/M&A opportunities.
- Contribute to an inspiring, scientifically rigorous, and innovative culture that embraces continuous learning, development, and collaboration.
- Contribute towards efforts to influence J & J's external environment via external scientific publications in peer-reviewed journals and via participation in external conferences as needed.
Professional Experience and Qualifications
- A PhD and a minimum of 8 years of experience in drug development with industry or related leadership experience within industry or academia is required.
- Demonstrated expertise in the field of AI/ML, computation, and antibody design & optimization in drug discovery is required.
- Deep understanding of pharmaceutical d
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