Postdoctoral Scientist, Human Omics of Preclinical Safety Prediction, AI/ML
Company: Johnson & Johnson
Location: Raritan
Posted on: July 4, 2025
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Job Description:
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
https://www.jnj.com Job Function: Career Programs Job Sub Function:
Post Doc – Drug Discovery & Pre-Clinical/Clinical Development Job
Category: Career Program All Job Posting Locations: Spring House,
Pennsylvania, United States of America Job Description: 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 seeking an
exceptional Postdoctoral Scholar passionate about genetics and
multiomics, complex traits, and data sciences. This role focuses on
enhancing target risk prediction through validation studies,
off-target risk estimation, and cross-species evolutionary metrics.
We are looking for our Postdoctoral Scholar to be located in
Springhouse, PA . Purpose: Our expertise in Janssen R&D 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. You will join
the Janssen’s Preclinical Sciences and Translational Safety (PSTS)
organization and work closely with the Population Analytics &
Insights (PAI) team in Data Sciences & Digital Health (DSDH). The
PAI team combines the power of ‘omics data with AI to generate
scalable, cutting-edge solutions and insights in drug development.
Collaborating with the PSTS, we integrate omics data to improve
preclinical safety profiling and help standardize safety evaluation
in early drug development. You will be responsible for: Optimize,
and validate state-of-the-art models to extract translational and
actionable insights from ‘omics and cheminformatic data Design and
implement validation protocols to evaluate (preclinical) safety
predictions Integrate cross-species conservation and phenotype
concordance metrics to enhance prediction. Clearly articulate
complex technical methods, biological information, and results to
diverse audiences, including scientists, stakeholders, and
decision-makers to facilitate informed decision-making and drive
project success Author scientific publication in top-tier journals
and conferences Required qualifications : PhD in genetics,
population genetics, computational biology, epidemiology,
biomedical sciences, toxicology, statistics, data sciences, or
related field completed within the past 3 years or to be completed
in the upcoming 6 months. Strong experience in driving research in
human, animal, or evolutionary genetics and genetic associations
with complex traits/disease. In depth understanding of
omics-related data including genetic sequencing, bulk and
single-cell expression, proteomics, as well as related analysis
including GWAS, PheWAS, TWAS, etc. Proficiency in programming
languages such as Python, R, and/or C++. Proficiency in statistical
analysis and data handling, data cleaning, normalization of
large-scale datasets. Proven scientific excellence as evidenced by
publications, patents, and/or high-level presentations. Ability to
effectively communicate complex technical concepts and results to a
wide range of audiences, including non-technical stakeholders.
Demonstrated experience working on interdisciplinary teams.
Self-motivated and capable of driving projects forward
independently with minimal daily oversight. Preferred
qualifications : Understanding and experience with drug compounds
or cheminformatics. Familiarity with machine learning techniques
such as supervised learning, self-interpretable multiple instance
learning, ML algorithms such as random forest, SVM, boosting,
neural networks, and optimization methods. Familiarity of
evolutionary genetics including phylogenetics, gene similarity
metrics, and gene constraint metrics. Familiarity and experience
handling health coding systems such ICD, OMOP, and/or MedDRA.
Familiarity and understanding of early drug development safety
evaluation. 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.
Keywords: Johnson & Johnson, Camden , Postdoctoral Scientist, Human Omics of Preclinical Safety Prediction, AI/ML, Science, Research & Development , Raritan, New Jersey
