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Director, In Silico Discovery Biologics
Director, In Silico Discovery BiologicsJ&J Family of Companies • San Diego, CA, US
Director, In Silico Discovery Biologics

Director, In Silico Discovery Biologics

J&J Family of Companies • San Diego, CA, US
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  • [job_card.full_time]
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Director, In Silico Biologics

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.

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.

We are seeking a creative and self-motivated Director to join our In Silico Biologics (ISB) team located in either Spring House PA, Cambridge MA, or San Diego CA (La Jolla area). Our mission is to transform our partnerships with biological discovery collaborators by expanding the impact of cutting-edge AI and Machine Learning (AIML) models across our biologics discovery platform. We are on the lookout for key talent to lead the ISB team in the application of these models across the Johnson & Johnson biologics portfolio. The ideal candidate will be a highly collaborative leader with a passion for making a significant impact in biologics design and development through computational techniques. This is an exciting opportunity to become part of an enthusiastic, diverse, and global community of silico scientists dedicated to delivering innovative new medicines to patients.

As a Director within our team, you will lead a core group of computational antibody design scientists. You will be responsible for managing interactions with portfolio project teams, ensuring that optimal computational techniques are employed to maximize progress within our portfolio. This includes working closely with other teams within In Silico Discovery and Biologics Discovery to continually integrate computational design and AI / ML methodologies within the biologics space. In this role, you will engage in significant collaboration, change management, and external outreach, while remaining at the forefront of this rapidly evolving field. You will report directly to the Senior Director of In Silico Biologics and will play a pivotal role in shaping our strategies and initiatives to advance biologics discovery.

If you are ready to lead in an innovative environment and passionate about the potential of computational approaches in drug development, we invite you to apply and join our mission to bring transformative therapies to patients around the world!

Primary Responsibilities :

  • Key contributor in developing a comprehensive strategy to stay in the forefront of innovation in computational design and AI / ML for Biologics Therapeutics.
  • Implement and apply the computational biologics design and optimization strategy.
  • Partner closely with Biologics Discovery teams to apply custom predictive and AI / ML tools for biologics design and optimization across portfolio projects.
  • 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 :

Required :

  • A PhD and a minimum of 8 years of experience in drug development with industry or related leadership experience.
  • Demonstrated expertise in the field of AI / ML, computation, and antibody design & optimization in drug discovery
  • Deep understanding of pharmaceutical discovery and optimization processes.
  • Hands-on experience with large scale data curation, aggregation, manipulation, integration, mining, and analysis, including structured and unstructured data sources.
  • Strategic project leadership experience
  • Preferred :

  • Experience in generating data visualizations in tools (e.g. Spotfire, Vortex, Tableau).
  • Ability to organize and communicate complex data sets in a clear and concise manner to key stakeholders from diverse backgrounds
  • Experience building teams and managing people's career progression.
  • Prior experience working with or leading collaborations with external academic, biotechnology, and contract research organizations.
  • Strong publications and / or proven record of supporting discovery of clinical / pre-clinical candidates.
  • Strong motivation, passion, and commitment to science and patients.
  • This is a hybrid role that can be located in either Spring House, PA, Cambridge, MA or San Diego, CA, (no fully remote option available). Travel up to approximately 5% yearly may be required (domestic and international).
  • Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

    Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https : / / www.jnj.com / contact-us / careers internal employees contact AskGS to be directed to your accommodation resource.

    The anticipated base pay range for this position is $164,000 to 282,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar / performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and / or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs : medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

    Employees are eligible for the following time off benefits :

  • Vacation up to 120 hours per calendar year
  • Sick time - up to 40 hours per calendar year
  • Holiday pay, including Floating Holidays up to 13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
  • Additional information can be found through the link below.

    The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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