Job Function: Data Analytics & Computational Sciences
Job Sub Function: Data Science
Job Category:Scientific/Technology
All Job Posting Locations:Spring House, Pennsylvania, United States of America
Job Description: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.
Required Skills:Preferred Skills:Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis
The anticipated base pay range for this position is :$109,000.00 - $174,800.00
Additional Description for Pay Transparency:
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
