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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 Development

Job Sub** **Function:

Translational Discovery & Development Biomarkers

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, San Diego, California, 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 Medicines R&D is recruiting for a Principal Scientist, Computational Neurotranscriptomics to be located in either San Diego, CA, or Cambridge, MA. This exceptional scientist will join the Computational Neuroimaging Technologies team within the Neuroscience Precision Measures organization.

In this role, the individual will bring expertise in human neuroimaging, computational neuroscience, biophysical modeling, as well as a deep understanding of human gene expression for drug target discovery. The ideal candidate will have strong skills in coding, excellent quantitative skills and the ability to conceptualize drug development across levels of analysis.

The Principal Scientist will collaborate closely with a cross-functional team, working to develop generative AI approaches that leverage human gene expression information. They will work alongside a team that interfaces with diverse domains, including molecular, digital, and imaging biomarkers. The candidate will be applying state-of-the-art human neuroimaging analysis methods in combination with biophysical modeling approaches capable of simulating drug effects at the cellular level. By doing so, the candidate will contribute to novel approaches for building confidence around neural target engagement as well as development of patient selection approaches for clinical trials. These efforts will help advance a mechanistic neuroscience methodological framework that leverages human neuroimaging while spanning levels of analysis in the direct service of building models that inform precision measures for clinical trials. Furthermore, the candidate will work closely with key members of the Precision Measures team and data science to drive the integration of advanced analytic approaches into the Neuroscience and Artificial Intelligence Optimized (NAIO) platform that supports scale and automation. In this role the candidate will have an opportunity to directly impact the next generation of computational neuroimaging approaches for drug discovery in neuroscience. In this role you will be part of a dynamic, interdisciplinary Precision Measures team with diverse expertise, driving value across our pipeline from discovery through development.

KEY RESPONSIBILITIES

+ Work within a multi-disciplinary team focused on linking levels of analysis, from transcriptomic data in human to functional neuroimaging signals in response to drug challenge

+ Develop and apply generative biophysical computational models that are capable of simulating neural dynamics at the cellular as well as the neural system level of analysis

+ Advance generative biophysical computational models to simulate drug effects in human

+ Establish methods for predicting the effect of a disease mechanism across levels of analysis, across both neuropsychiatry and neurodegeneration applications

+ Collaborate with the precision measures team to connect models and analytic approaches into the automated and scalable Neuroscience and Artificial Intelligence Optimized (NAIO) platform.

+ Stay current with the evolving landscape of human multi-modal neuroimaging, computational neuroscience and gene expression methodologies and their applications in neuroscience and precision medicine.

+ Present findings to internal and external stakeholders, translating biophysical modeling approaches for informing mechanism for drug targets into insights accessible to non-technical audiences.

+ Foster strong partnerships with the Data Science & Digital Health team, collaborating on cross-functional projects to drive scientific innovation.

QUALIFICATIONS

Required:

+ PhD in Physics, Neuroscience, Applied Mathematics, Computer Science, Statistics, Biomedical Informatics, or a related field with a focus on multi-modal neuroimaging and computational neuroscience.

+ At least 2 years of progressive experience with prior application in life sciences

+ Extensive background working hands-on deriving insights from human gene expression data and its applications for informing biophysical neural models

+ Extensive experience with developing computational tools and methods for human neuroimaging applications

+ Demonstrated publication record in leading journals with a focus on simulating neural drug effects using computational modeling approaches

+ Exceptional problem-solving skills with the ability to work across levels of analysis, spanning biophysical computational modeling at the cellular level to human system-level neuroimaging applications

+ Demonstrated capacity for independently driving innovation in computational neuroscience applications, following strategic guidance

+ Ability to clearly communicate technical work to a diverse audience is required.

+ Strong ability to work in a multi-disciplinary team setting, spanning expertise in data science, neuroscience and computational biology

+ Strong data science skills and coding skills, geared towards developing well-documented analytic modules that can interoperate with scalable cloud-based platforms

Preferred:

+ Experience with multiple aspects of drug development, spanning discovery and precision approaches for patient selection

+ Background with high-dimensional molecular data, particularly genetic, RNAseq, and/or single cell data

+ Ability to contribute code to a complex interoperable computational platform

+ Ability to interface with data scientist and facilitate inter-operability with large-scale datasets across the organization

+ Contributions to open-source projects, publications in peer-reviewed journals, or presentations at relevant conferences focused on computational psychiatry

+ Familiarity with target identification and validation approaches

This is a hybrid position available in either San Diego, CA, or Cambridge, MA, (no fully remote option), and may require up to approximately 10% yearly travel (International, Domestic).

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, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $115,000 to $197,800. 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.

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