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.
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**Job Function: **
Discovery & Pre-Clinical/Clinical Development
**Job Sub Function: **
Biological Research
Job Category:
Scientific/Technology
All Job Posting Locations:
Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America
Job Description:
About Innovative Medicine: 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
We are searching for the best talent for a Senior Scientist, Multiomics to be located in Cambridge, MA or Spring House, PA.
Purpose: We are seeking an accomplished Senior Scientist to develop mechanistic insights from phenotypic assays that are based in spatial omics disease maps. The ideal candidate will lead the development of technically-complex, high‑throughput cellular assay platforms that support discovery efforts in immunology, neuroscience, and oncology. The ideal candidate must have deep expertise in designing and constructing genetic libraries, implementing CRISPR‑based perturbation strategies, and building engineered cell systems that enable mechanistic insights and scalable experimentation. This role offers the opportunity to shape cutting‑edge experimental platforms that drive discovery and enable the systematic exploration of complex biological systems rooted in a deep, multimodal spatial understanding of disease biology.
In this role, you will design and execute complex phenotypic assays, including FACS‑based analyses, pooled optical screening, massively parallel reporter assays (MPRA), and other multiplexed readout approaches. You will deploy these assays across a range of primary and engineered cell types. Experience with immune cells and advanced model systems such as iPSCs, organoids, co‑culture systems, and cell‑printing technologies is highly valuable. You will also drive innovation in the development of perturbation libraries, optimize their delivery and expression, and expand next‑generation cellular models to interrogate disease‑relevant biological pathways. A foundation in basic computational skills is essential to support library design, data exploration, quality control, and visualization, and close collaboration with computational colleagues will be integral to success in this role. The position will additionally require cross‑training in spatial omics technologies, with prior experience in this area highly preferred.
You will be responsible for:
- Design, construct, and optimize genetic libraries for CRISPR-based perturbation, reporter assays, over-expression systems and multiplexed functional studies.
- Develop and execute complex phenotypic assays, including high‑content imaging, pooled optical screens, and massively parallel reporter assays (MPRA).
- Engineer and characterize advanced cellular models, including an emphasis on immune cells and models relevant to immunology, neuroscience, and oncology.
- Establish and optimize FACS-based workflows, including sorting strategies, multicolor panel design, and high-throughput cell processing.
- Implement and refine pooled and arrayed screening platforms, ensuring robust delivery, expression, and representation of perturbation libraries.
- Utilize organoid, co‑culture, and microenvironment-mimicking systems, leveraging technologies such as cell printers and 3D cellular architectures.
- Drive assay innovation, troubleshooting complex technical challenges and introducing new methodologies to expand experimental capabilities.
- Partner closely with computational scientists, ensuring high‑quality data generation, clear experimental metadata, and effective interpretation of multidimensional results.
- Perform basic computational data analysis, including QC, exploratory analysis, and visualization, using standard computational approaches.
- Cross-train and develop a deep foundation in spatial omics approaches.
- Document experimental design, execution, and results with clarity.
- Present findings to multidisciplinary teams.
- Contribute to strategic project planning, identifying opportunities where engineered cell systems and library‑based perturbations can advance key discovery efforts.
- Expand skillset to other related genomics areas.
Qualifications
Education:
- Minimum of a PhD in Genetics, Genomics, Molecular Biology, Cell Biology, Systems biology, Human biology or a related discipline is required.
- Post-doctoral fellowship in a related field is required. Alternatively, industry experience with a proven track-record of delivering completed complex projects will be considered.
Required:
- A minimum of 3 years of biotech or pharmaceutical industry experience OR post-doctoral / academic staff scientist experience in a deeply technical role is required
- Strong track record of high-impact scientific deliverables as evidenced by publications, presentations, and recognition within the scientific community.
- Deep, technical expertise with massively-parallel cell perturbation using genetic tools is required, including understanding of end-to-end workflows, methods limitations, and mitigation strategies.
- Excellent written communication, verbal communication, and oral presentation skills are required.
- Experience with complex models and genetic screens is required.
- Demonstrated ability to work across disciplines and functional areas is required.
- Ability to apply novel approaches to address complex biology questions, as evidenced through strong peer-reviewed publications is required
Preferred:
- Proficiency in programming languages such as R or Python is preferred.
- Experience with in vivo screens, histology and pathology is preferred.
- NGS experience is preferred.
The expected pay range for this position is $109,000 to $174,800.
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.
Subject to the terms of their respective plans, employees and/or eligible dependents are 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.
Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period10 days
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits
This job posting is anticipated to close on March 7, 2026. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
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.
**Required Skills: **
Preferred Skills:
Accelerating, Analytical Reasoning, Clinical Data Management, Critical Thinking, Data Analysis, Data Reporting, Data Savvy, Design of Experiments (DOE), Drug Discovery Development, Issue Escalation, Molecular Diagnostics, Pharmaceutical Microbiology, Product Knowledge, Research Proposals, Scientific Research, Standard Operating Procedure (SOP), Technologically Savvy