Principal Scientist, AI-Native Discovery (Large Molecules)

Johnson & Johnson Co.

Spring House (PA)

On-site

USD 117,000 - 201,000

Full time

3 days ago

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Benefits offered by this job

Vacation up to 120 hours per year

Sick time 40 hours per year

Holiday pay

Job summary

Johnson & Johnson is seeking a Principal Scientist in AI-Native Discovery (Large Molecules) to advance AI-enabled biologics discovery. Location options include Spring House, PA; Cambridge, MA; or San Diego, CA, with occasional travel and no remote option.

The role emphasizes cross-functional collaboration, computational biology, and innovative AI approaches. You will shape AI-native workflows, contribute to therapeutic discovery, and help build scalable, predictive models across ISD.

Qualifications

PhD in a relevant scientific or technical discipline with 4+ years in drug discovery.
Strong leadership and ability to communicate complex data to diverse teams.
Expertise in AI, ML, agentic AI, structural modeling, or computational biology for antibody design.
Experience representing a computational function on cross-functional projects.

Responsibilities

Partner with ISD teams to connect biologics discovery with AI-enabled capabilities.
Apply AI-enabled design, analysis, and decision support in discovery programs.
Represent ISD on cross-functional project teams and inform strategy.
Advance AI-native workflows integrating hypothesis generation and testing.
Contribute to publications and external collaborations.

Skills

AI/ML expertise

Cross-functional leadership

Computational biology

Data analysis

Biologics discovery

Computational modeling

Education

PhD in a relevant scientific or technical discipline

Tools

Computational biology tools

Job description

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 jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Discovery & Pre-Clinical/Clinical Development

Job Sub Function:

Pharmaceutical Product R&D

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America

Job 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 is recruiting for a Principal Scientist, AI-Native Discovery (Large Molecules) to join our In Silico Drug Discovery team. This position will be located in either Spring House, PA (preferred); Cambridge, MA; or San Diego, CA (La Jolla area) and may require some travel as needed. (No remote option.)

The Opportunity

We are seeking a creative, highly collaborative, and self-motivated Principal Scientist to join our In Silico Discovery (ISD), In Silico Biologics team. In this role, you will help shape the future of AI-native biologics discovery by integrating advanced AI, agentic workflows, predictive modeling, and computational design into Therapeutic Discovery programs. You will represent In Silico Discovery on cross-functional project teams, integrating broader ISD capabilities and AI-native approaches.

The ideal candidate combines experience influencing cross-functional discovery programs with therapeutic development expertise and a passion for using AI to generate insights, inform experimental strategies, and improve discovery decisions. You will help build new ways of working that integrate human scientific judgment, machine intelligence, experimental data and computational methods, while leveraging capabilities from across ISD and the broader J&J technical community.

This is an opportunity to join a diverse, global community of in silico scientists and contribute directly to the discovery of innovative medicines for patients.

What You Will Do

Partner closely with teams across In Silico Discovery to connect biologics discovery programs with relevant computational capabilities and AI-enabled approaches.
Partner with Biologics Discovery and Therapeutic Area teams to apply AI-enabled computational design, analysis, and decision support in Therapeutic Discovery programs.
Represent In Silico Discovery on cross-functional project teams and apply AI-enabled computational insights to support program strategy and decision-making.
Apply predictive modeling, machine learning, generative approaches, agentic AI, structural modeling, and computational biology to support experimental strategy and biologic candidate design and optimization.
Advance AI-native workflows that connect hypothesis generation, computational design, experimental testing, and model refinement to accelerate learning and decision-making.
Evaluate emerging technologies and contribute scientific recommendations to internal development, acquisition, partnering, licensing, or M&A opportunities.
Champion the responsible and scientifically rigorous adoption of AI and contribute to an innovative culture that values collaboration, experimentation, continuous learning, and knowledge sharing.
Maintain awareness of advances in AI, computational biology, structural modeling, and biologics design.
Contribute to Johnson & Johnson's external scientific presence through peer-reviewed publications, conference participation, and collaboration with external organizations.

How You Will Make an Impact

You will help define how AI becomes an integral part of biologics discovery, enabling new approaches to scientific learning and decision-making.

By connecting human expertise, AI models, computational design, experimental workflows, and high-quality data, you will help create a more predictive, scalable, and adaptive discovery environment. Your work will contribute to faster learning cycles, stronger design decisions, and the advancement of differentiated biologic medicines for patients.

Why Join Us

Shape AI-native ways of working across biologics discovery.
Apply emerging AI capabilities to meaningful therapeutic challenges.
Work across computational science, experimental biology, data science, and drug development.

Required Qualifications

PhD in a relevant scientific or technical discipline and a minimum of 4 years of relevant drug discovery experience, including experience contributing to cross-functional discovery teams.
Knowledge of biologics discovery, candidate optimization, and therapeutic development processes.
Strong scientific leadership, communication, and stakeholder management skills, including the ability to organize and communicate complex data, models, and scientific concepts clearly to partners with diverse technical backgrounds.
Demonstrated expertise in AI, machine learning, agentic AI, structural modeling, computational biology, or computational approaches for antibody design and optimization.
Experience representing a computational function on cross-functional projects and integrating computational and experimental data to inform program strategy and scientific decisions.
Hands‑on experience with large‑scale scientific data curation, aggregation, manipulation, integration, mining, and analysis across structured and unstructured data sources.

Preferred Qualifications

Experience in therapeutic target analysis, structural biology, antibody‑antigen interaction modeling, computational protein design, and scientific data visualization.
Experience with multimodal biological data, generative modeling, foundation models, AI agents, or iterative design‑build‑test‑learn workflows.
Experience developing, scaling, or adopting computational platforms and workflows in partnership with technology development teams.
A strong publication record and demonstrated contributions to the discovery or advancement of preclinical or clinical candidates.
Experience collaborating with academic institutions, biotechnology companies, technology partners, or contract research organizations.
Experience evaluating emerging computational technologies or external scientific innovation opportunities.
Experience influencing multidisciplinary discovery teams spanning computational and experimental functions.

Additional Impact

Influence both portfolio programs and the evolution of enterprise discovery capabilities.
Contribute to a collaborative global scientific community focused on delivering innovative medicines to patients.

This position will be located in either Spring House, PA (preferred); Cambridge, MA; or San Diego, CA (La Jolla area) and may require some travel as needed. (No remote option).

Equal Opportunity

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.

If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent's consent for the background check.

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.

Compensation and Benefits

The anticipated base pay range for this position is $117,000 to $201,250. 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 of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

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.

Preferred Skills