Associate Director, Data Science - Neuroscience Discovery

Johnson & Johnson Innovative Medicine is currently seeking an Associate Director, Data Science - Neuroscience Discovery with a strong preference for this individual to be located at one of our sites in Titusville, NJ, Cambridge, MA, or La Jolla, CA. (Remote work options within the US may be considered on a case-by-case basis and if approved by the company.)

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/.

For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges.

We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential.

At Johnson & Johnson, we all belong.

In the role of Associate Director, this outstanding leader, data scientist and bioinformatician will work to optimize our Discovery portfolio. Envisioning the future, you will establish the earliest data science and digital health strategy per compound, that will evolve over the development lifecycle. You will be part of our impactful, cross-functional team of data science leaders with diverse expertise driving value end-to-end across our pipeline from discovery through development, using molecular, digital, imaging and real-world data. This role requires knowledge of sophisticated analytics, bringing to bear bioinformatics, artificial intelligence and machine learning as needed to link molecular data (genetics, gene expression, proteomics) to brain circuitry (e.g. tissue specific, cell type specific, circuit specific expression), mechanisms of action and disease endophenotypes.

Key Responsibilities:

The candidate will focus on the Neuroscience Discovery portfolio, establishing the strategy and processes for evaluating data science and digital health opportunities. This will be achieved by leading internal and external talent to map therapeutic targets to genetics and brain biology to understand opportunities within different indications or patient populations. You will contribute to broader initiatives integrating multi-model data through AI/ML to impact at target identification and precision medicine across a range of Neurodegenerative and Neuropsychiatric diseases.

The candidate's work will be tightly coupled with our Neuroscience Discovery and Translational Medicine, Population Analytics, and other Johnson & Johnson Innovative Medicine Data Science teams.

• Create the strategy and process for evaluating therapeutic targets and precision biomarkers from the perspective of genetics, brain biology, and mechanism, drawing upon a combination of internal and external resources.
• Collaborate with scientists and clinicians to create the initial data science and digital health strategy for Neuroscience targets in discovery, being forward looking and foreseeing the path to launch.
• @contextualize target gene expression in the context of the neural circuits and cell-types underlying CNS diseases and phenotypes.
• Apply diverse data sources to evaluate opportunities across potential indications.
• Remain current on the constantly evolving landscape of neuroscience, neurodegeneration, neuropsychiatry, genomics, bioinformatics and AI/ML research in search of better strategies for prioritizing our portfolio based on biological insights.