Senior Scientist, Data Science (PDMB)

OverviewAre you passionate about applying cutting-edge AI/ML to transform drug discovery? The Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) department of our company Research Laboratories is seeking an AI/ML expert to help reimagine how PDMB assesses and optimizes drug candidates. You will join a dynamic Data Science team accelerating discovery through advanced analytics, predictive modeling, and decision-support tools. In this role, you will invent, build, and deploy novel AI/ML approaches to identify and optimize drug candidates with balanced efficacy, safety, and developability profiles. You/u2019ll collaborate closely with principal investigators and lab-based scientists to refine experimental designs, generate testable hypotheses, and deliver intuitive visualizations and models at the intersection of translational PK/PD, ADME, bioanalytics, and data science.ResponsibilitiesDevelop and deploy AI/ML models (e.g., active learning, Bayesian optimization, multi-objective optimization) to improve decision-making in preclinical and early development.Build robust data pipelines to capture, integrate, curate, and visualize multimodal data (in vitro, in vivo, in silico; PK/PD, ADME, omics, imaging) to enable reproducible analysis at scale.Partner with IT data engineers/architects to design scalable, secure data and model infrastructure (data lakes, feature stores, MLOps) aligned with PDMB scientific form project strategy by guiding experimental design, assay selection, and candidate optimization; communicate model insights, uncertainty, and trade-offs to cross-functional teams.Translate complex analytics into actionable recommendations and easy-to-use tools/dashboards for scientists and project leaders.Stay current on emerging methods (e.g., foundation models, generative design, causal inference) and evaluate their applicability to PDMB problems.Notes on LocationNOTE: This position is available in SSF, CA; Boston/Cambridge, MA; Rahway, NJ or West Point, PA based on candidate preference.QualificationsEducationPh.D. (or Ph.D. candidate with expected graduation date by March 31, 2026) in Computer Science, Statistics, Applied Mathematics, Bioinformatics, Computational Biology, Computational Chemistry, Chemical Informatics, Engineering or related fields with relevant experience.Required Experience and SkillsProven track record of research with first-coauthor publications at top-tier peer-reviewed journals or conferencesStrong foundation in statistics and machine learning, including model development, validation, and performance/uncertainty assessment.Experience working with high-dimensional, heterogeneous datasets; grounding in data quality, curation, and feature engineering.Ability to communicate complex analyses clearly to non-experts and to collaborate effectively in interdisciplinary teams.Preferred Experience and SkillsDomain knowledge in chemistry, molecular biology, and/or biochemistry; familiarity with PK/PD and ADME concepts.Experience with deep learning or generative models for molecular design, QSAR, property prediction, or LLM on scientific text.Experience with cloud platforms and data/ML services (AWS/Azure/GCP), containers (Docker), workflow orchestration (Airflow, Prefect), and MLOps (MLflow, SageMaker).Ability to influence and enable scientific teams to adopt data-driven methods and positive pliance and BenefitsUS and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination. We comply with all affirmative action requirements for protected veterans and individuals with disabilities. We are a federal contractor. We value diversity and inclusion in the workplace. #J-18808-Ljbffr

Created: 2025-09-23