Principal Scientist, Biological Network Analytics

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This role will directly support the broader Multiomic Discovery efforts through integration and analysis of multiple high dimensional biology datasets within the Biological Network Analytics group and contribute to the understanding of complex biology through advanced data analysis methods.

• Designing, implementing, and validating computational models to study biological processes
• Analyzing and integrating large datasets generated from multiple platforms including NGS, proteomics, and high‑content imaging
• Applying large‑scale Multiomic capabilities to support a modality‑agnostic portfolio across therapeutic areas
• Partnering with wet and dry lab stakeholders within Multiomic Discovery
• Collaborating with cross‑functional teams to support the design and implementation of experiments as part of broader Multiomic & high‑dimensional biology endpoints
• Partnering with therapeutic area, data science, safety, and in‑silico design teams to provide unbiased screening results supporting modality and indication agnostic drug discovery

• Education: PhD in Cell Biology, Molecular Biology, Computational Biology, Bioinformatics or related discipline required;
  Post‑doc fellowship in related field preferred.
• Required: a minimum of six years biotech or pharmaceutical industry experience; strong communication and presentation skills; proficiency in R or Python; knowledge of machine learning algorithms, statistical modeling and unsupervised analysis techniques; experience with multiomic datasets; demonstrated ability to work across disciplines and functional areas; ability to apply novel approaches to address complex biology questions evidenced through strong peer‑reviewed publications; excellent written, verbal, and oral communication skills.
• Preferred: experience as a problem solver and team collaborator able to facilitate understanding between biologists and data scientists; ability to manage multiple projects and meet deadlines; knowledge of statistical methods for biological data analysis; knowledge of cellular assay development and applications in drug discovery; experience working with and/or guiding external collaborators in industry or academia; strong background in statistical analysis and data visualization techniques.

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 and 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 email the Employee Health Support Center (ra-) or contact AskGS to be directed to your accommodation resource.