Description

Janssen Research & Development, LLC, a member of Johnson & Johnson's Family of Companies, is recruiting for a Scientist, Investigative Toxicology, located in San Diego, CA.

At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found.

Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, cardiovascular and metabolism, and pulmonary hypertension. Please visit http://www.janssenrnd.com for more information.

The Scientist, Investigative Toxicology, will be part of the multi-disciplinary Translational Pharmacokinetics, Pharmacodynamics and Investigative Toxicology team in Nonclinical Safety and will have first-hand involvement throughout the entire life cycle in drug development. This individual will have strong computational skillsets and an established track-record on in-depth analysis from multi-omics research, including but not limited to, (spatial or single cell) transcriptomics, proteomics, or lipidomics.

Principal Responsibilities:

• Maintain a high level of productivity in the laboratory setting.
• Work with autonomy to design experiments, interpret data, and propose next steps.
• Develop and conduct aqueous chemical reactions on DNA-small molecule conjugates.
• Prepare DNA-encoded small molecules through DNA ligation and other molecular biology techniques.
• Purify DNA conjugates by High-Performance Liquid Chromatography (HPLC) and other purification techniques.
• Analyze DNA-small molecule conjugate compositions through mass spectrometry, electrophoresis, DNA quantitation and other relevant methods.
• Design new Janssen DNA-Encoded Libraries (DELs), sourcing materials required for productions, and interfacing with external DEL synthesis vendors.
• Plan DEL screening campaigns with the DEL core team and other key members in our Janssen screening groups.
• Analyze decoded DEL screen sequencing data to identify suitable hits for follow up while influenced by an understanding of medicinal chemistry principles and desirable hit physicochemical properties.
• Coordinate DEL hit resynthesis with internal and external CRO synthetic resources.
• Interface with project teams and data streams from other screening modalities at Janssen.
• Collaboratively support the advancement of compounds in initial hit identification and early hit expansion.
• Help to evaluate and support the use of new DEL technologies either internally or through partnerships with external companies.
• Work on novel, testable hypotheses to enable clear decision making.
• Contribute to scientific strategies and goals within a team setting.
• Present data and reports on project status at individual and group meetings.
• Generate data for and serving as co-author on research published in peer reviewed journals and present work at scientific conferences.

Qualifications

• A minimum of a Master’s degree in Computational Biology, Computational Toxicology, Data Science, or a related scientific discipline is required. Ph.D. degree in Computational Biology, Computational Toxicology, Data Science, or a related scientific discipline is preferred.
• A minimum of 3 years of post-graduate experience in an academic or industry setting with a Master’s degree or a minimum of 1 year of post-graduate experience in an academic or industry setting with a Ph.D. degree is required.
• Knowledge of technologies used in support of computational research, such as programming languages (R and Python), databases (SQL), version control, and scientific workflow tools, is required.
• Experience with multi-omics data (RNA gene expression, proteomics, epigenomics, genetics, etc.) is required.
• A broad and clear understanding of Biology is required.
• A successful track-record of publications preferred.
• Experience with advanced analytical approaches (Natural Language Processing (NLP), Machine Learning (ML)/Artificial Intelligence (AI), Large Language Model (LLM)) to extract relevant sources of annotation from unstructured data is preferred.
• Knowledge of various in vitro and in vivo sciences preferred.
• Experience interfacing with mass spectrometry or other wet labs techniques preferred.
• Biomarker experience is preferred.
• Experience with clinical research is preferred.
• Experience with real-world evidence is preferred.
• Experience with cloud computing tools preferred.
• Must have excellent verbal and written communication skills.
• Must be detail-oriented with strong organizational skills.
• The ability to work collaboratively with cross-functional scientific teams to deliver on objectives in an integrated fashion within defined timelines is required.
• This position will require minimal travel.

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.