Senior Data Specialist, Modeling & Informatics (AI/ML)

Location: Cambridge, Massachusetts, United States; onsite. The role is available to US and Puerto Rico residents, with domestic relocation indicated. Visa sponsorship is not available.

Salary: $159,600–$251,200 annually, plus potential annual bonus and long-term incentive.

Company

hirify.global is a pharmaceutical research and development organization using computational science, chemistry, and AI/ML to advance drug discovery.

What you will do

• Implement and apply AI/ML and cheminformatics workflows for early target discovery data analysis.
• Analyze, interpret, integrate, and visualize complex chemical biology data and internal and external knowledge.
• Develop optimized informatics algorithms and workflows for small molecules, peptides, and targeted protein degraders.
• Apply machine learning, statistics, and cheminformatics techniques to improve hit identification across screening paradigms.
• Collaborate with experimental and computational scientists to advance projects and drug discovery pipelines.
• Research relevant AI/ML and cheminformatics methods, evaluate new technologies, communicate scientific results through presentations and publications, and share technical knowledge.

Requirements

• Ph.D. in cheminformatics, bioinformatics, computational biology or chemistry, computer science, statistics, or a related STEM field.
• Experience applying cheminformatics or AI/ML approaches to problem-solving in drug discovery.
• Broad understanding of modern data science methods, including predictive modeling, active learning, and explainable machine learning.
• Strong oral and written communication and problem-solving skills.
• Track record of scientific publications in peer-reviewed journals.
• Proficiency in Python and/or R, SQL, and cheminformatics toolkits including OEChem, RDKit, and DeepChem.

Nice to have

• Experience developing and applying AI/ML to chemical or biological problems.
• Experience with database systems, cloud computing such as Databricks and AWS, and high-performance computing in Linux environments.
• Expertise in TensorFlow, Keras, PyTorch, Pandas, and Scikit-Learn.
• Experience with Pipeline Pilot, KNIME, and Spotfire.
• Experience analyzing high-throughput screening data and identifying chemical or biological signatures and biomarkers.
• Familiarity with multiple therapeutic modalities, including small molecules, peptides, and ADCs.
• Experience working in multidisciplinary teams with experimental scientists.

Culture & Benefits

• Inclusive, cross-functional environment within a Modeling and Informatics team of computational chemists, cheminformaticians, and data scientists.
• Collaboration with chemistry, experimental, and computational research teams.
• Medical, dental, vision, and other insurance benefits for employees and families.
• 401(k), paid holidays, vacation, compassionate leave, and sick days.
• No travel required.