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Postdoctoral Scientist, Spatial Transcriptomics

Johnson & Johnson Innovative Medicine is currently seeking a Postdoctoral Scientist, Spatial Transcriptomics with a strong preference for this individual to be located at one of our sites in Berlin, Germany; Beerse, Belgium; High Wycombe, UK; Paris, France; Zug, Switzerland; Leiden, Netherlands; Spring House, PA; Cambridge, MA; Titusville, NJ; or La Jolla, CA. (Remote work options within 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. The Data Science and Digital Health organization in a close partnership with the Oncology and Immunology Therapeutic Areas within Johnson and Johnson Innovative Medicine develops innovative insights and solutions by using multi modal datasets, advanced algorithms, and high-performance computing.

We are seeking an exceptional post-doctoral scientist with expertise in single cell sequencing and spatial transcriptomics, particularly focused on understanding the tumor microenvironment and its clinical implications. The successful candidate will be responsible for:

• Collaborating closely with scientists in Translational Research, Discovery, Data Science and Digital Health to derive novel insights that inform pre-clinical and clinical compound development strategies, especially in the context of personalized medicine.

• Analyzing, integrating, and interpreting high-dimensional data from various modalities, including spatial transcriptomics and single-cell sequencing, to gain insights into the tumor microenvironment and its role in clinical outcomes.

• Employing scalable statistical and machine learning techniques, including foundational models, to identify and characterize unique molecular signatures from high-dimensional biological data that correlate with tumor microenvironment features.

• Engaging in experimental design activities alongside multidisciplinary teams across Johnson and Johnson Innovative Medicine to ensure robust and impactful research methodologies.

• Upholding compliance with internal standards for re-usable code, data integrity and reproducibility, ensuring that all research outputs meet rigorous scientific standards.

• Effectively communicating research findings to both internal collaborators and external stakeholders through comprehensive project reports, engaging oral presentations, and contributions to peer-reviewed scientific publications.

This position offers a unique opportunity to advance the understanding of tumor biology and enhance therapeutic strategies through cutting-edge research in single-cell and spatial transcriptomics.

Qualifications

Minimum qualifications:

• A recent Ph.D. degree obtained within the last three years in computer science, bioinformatics, computational biology, systems biology, or a related field, with a strong emphasis on spatial and/or single-cell transcriptomics.

• Proficiency in programming languages such as Python and R

• Demonstrated expertise in machine learning techniques and high-dimensional optimization, with experience applying these methods to biological datasets at scale.

• Direct experience in analyzing single-cell and/or spatial transcriptomics data

• Proven ability to conduct high-quality research, exemplified through publications in peer-reviewed journals or contributions to impactful scientific projects.

• Excellent communication and presentation skills, with the ability to convey complex data and insights effectively to diverse audiences, including both scientific peers and non-expert stakeholders.

Preferred qualifications:

Experience in one or more of the following:

• Oncology and/or Immunology.

• Cell therapy discovery and development.

• High performance computing and distributed systems.

At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.

Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.

SALARY FOR THE USA: $95,000 base per annum

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