Data Scientist

Job Title: Data Scientist Location: Rahway, NJ (Hybrid) Employment Type: Contract Duration: 6+ months Domain: Healthcare / Pharmaceutical / AI Research Pay Rate: $50-$55/hr Application Deadline: 28-05-2026 SKILLS REQUIRED • Python for Scientific Computing (NumPy, PyTorch, Pandas) • Machine Learning & Deep Learning Fundamentals • Unix/Linux & High-Performance Computing (HPC) • AWS Cloud Computing • Data Analysis & Statistical Modeling • Biochemistry / Computational Chemistry Knowledge • Molecular Modeling & Drug Discovery Concepts POSITION OVERVIEW We are seeking a motivated Data Scientist to support cutting-edge research initiatives within a Quantitative Biosciences environment focused on early-stage drug discovery. The ideal candidate will leverage machine learning, computational modeling, and scientific computing techniques to analyze complex biological and chemical datasets. This role offers the opportunity to work alongside multidisciplinary teams of scientists, chemists, and biologists to accelerate the discovery of next-generation medicines through innovative AI and data-driven approaches. ROLES & RESPONSIBILITIES • Develop machine learning and deep learning workflows for drug discovery applications. • Build predictive models for small molecules and peptide research. • Analyze high-throughput biological and chemical datasets. • Apply computational and statistical methods to generate scientific insights. • Collaborate with interdisciplinary research and discovery teams. • Support molecular modeling and informatics initiatives. • Work within Unix/Linux and cloud-based computing environments. • Communicate analytical findings and technical recommendations effectively. • Contribute to research projects involving AI-driven pharmaceutical discovery. BENEFITS Medical | Dental | Vision | 401(k) EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.