Bioinformatics Associate Jobs in Philadelphia, PA

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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

Johnson and Johnson Innovative Medicine (JJIM) is recruiting a Senior Scientist to work within the Population Analytics & Insights group (Data, Data Sciences and AI DDSAI organization) on drug target identification and evaluation to support alignment of priorities with the Immunology therapeutic area. The primary location for this position is at the Spring House, PA campus.

The DDSAI organization develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for a highly motivated and self-driven individual who will creatively analyze large-scale clinical, genetic, omics and cell phenotype data to advance our drug discovery and development pipeline in R&D.

At J&J, we strive to bring in the brightest minds in pursuit of developing effective and safe therapeutics for patients around the globe.

Role & responsibilities:

• Construct an analytic framework by integrating perturbation, ontology and cellular phenotyping with molecular based datasets including genomics, transcriptomics, proteomics, to further enhance target evaluation, and patient stratification. Use multiple inference and ML methods linking molecular targets to disease states/characteristics, to associate targets with disease pathways, and to validate predicted mechanisms systematic on-/off-target toxicity predictions. These approaches require innovative computational methods such as network-based models, machine learning, and novel algorithmic approaches to mining biological data.

• Provide scientific technical expertise in modeling multimodal data (including genetic, perturbation and functional data) to predict qualities and liabilities associated with on- and off-target treatment effects.

• Apply or develop a wide variety of statistical modeling and AI/ML methods to analyze phenomic, multiomic and biobank level data to identify targets associated therapeutic with clinical and/or molecular segments and biomarkers associated with immune mediated diseases.

• Provide design and analysis consultation for questions of interest to our Immunology stakeholders and facilitate interactions between colleagues across the organization. Translate findings from computational analyses to support functional, biological and pharmacological validation.

• Work cooperatively with different teams in Data Sciences and Therapeutic Discovery teams to implement NLP or related approaches to annotate targets, biomarkers and networks to complement classifier construction.

Job Qualifications:

• A Ph.D. in a quantitative Biology field - Bioinformatics, Computational Biology, Systems Biology, Statistical Genetics, or related fields is required.

• 2-3 years experience post PhD degree is required.

• Experience with multi-omic data (RNA gene expression, proteomics, epigenomics, genetics) at both bulk and single cell level is required.

• Proficient in programming and computational skills and demonstrated ability to work with a group of scientists to deliver on objectives in defined timelines, are required.

• Outstanding communication, organizational and leadership skills, with a successful track record of publication and collaboration with cross-functional scientific teams are required.

• Independent, self-motivated, innovative, and able to excel in a goal-oriented, multifaceted and fast-moving team environment are required.

• Experience with Immunology is preferred.

• Working knowledge of databases and analytic approaches associated with gene/pathway ontology, such as network analysis, is preferred.

• Expertise in perturbation data and analysis is preferred.

• Experience with advanced analytical approaches (NLP, ML/AI, LLM) to extracting relevant sources of annotation of cellular states, functions and localization from unstructured data is preferred.

• Experience with predictive models associated with evaluation of target engagement and druggability is preferred.

• Experience with drug discovery and development practices and project support in a large pharmaceutical setting are preferred.

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-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

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