Hispanic Alliance for Career Enhancement
Senior Scientist, Data Science (PDMB)
Hispanic Alliance for Career Enhancement, Rahway, New Jersey, us, 07065
Overview
Are you passionate about applying cutting-edge AI/ML to transform drug discovery? The Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) department seeks an AI/ML expert to 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 will collaborate 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. Responsibilities
Develop 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 needs. Inform 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. Note:
This position is available in SSF, CA; Boston/Cambridge, MA; Rahway, NJ or West Point, PA based on candidate preference. Qualifications
Education: Ph.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 Skills: Proven track record of research with first-coauthor publications at top-notch peer-reviewed journals or conferences Strong 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 Skills: Domain 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 change. Additional information:
Eligible for ERP; U.S. and Puerto Rico residents only. The company is an Equal Employment Opportunity Employer and complies with applicable affirmative action requirements. See EEOC Know Your Rights and related notices for details. Logistics and Benefits
Job posting end date: 09/24/2025. Salary range: $156,500.00 - $246,300.00. The successful candidate will be eligible for annual bonus and long-term incentives, if applicable. We offer a comprehensive benefits package including medical, dental, vision, retirement (401(k)), paid holidays, vacation, and sick days. For more information, please visit the company compensation and benefits page.
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Are you passionate about applying cutting-edge AI/ML to transform drug discovery? The Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) department seeks an AI/ML expert to 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 will collaborate 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. Responsibilities
Develop 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 needs. Inform 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. Note:
This position is available in SSF, CA; Boston/Cambridge, MA; Rahway, NJ or West Point, PA based on candidate preference. Qualifications
Education: Ph.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 Skills: Proven track record of research with first-coauthor publications at top-notch peer-reviewed journals or conferences Strong 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 Skills: Domain 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 change. Additional information:
Eligible for ERP; U.S. and Puerto Rico residents only. The company is an Equal Employment Opportunity Employer and complies with applicable affirmative action requirements. See EEOC Know Your Rights and related notices for details. Logistics and Benefits
Job posting end date: 09/24/2025. Salary range: $156,500.00 - $246,300.00. The successful candidate will be eligible for annual bonus and long-term incentives, if applicable. We offer a comprehensive benefits package including medical, dental, vision, retirement (401(k)), paid holidays, vacation, and sick days. For more information, please visit the company compensation and benefits page.
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