Top Senior Level Data Science Jobs

The Research Scientist will conduct advanced research in AI and autonomous systems, focusing on scalable autonomy stacks and closed-loop simulations. The role involves collaboration with peers and engineers to develop algorithms and contribute to industry-leading publications. Candidates should have a strong research background and be passionate about deploying models in real-world autonomous systems.

As a Principal Data Scientist, you will work on the Modeling team to enhance At-Bay’s risk assessment framework. Responsibilities include developing risk models, conducting data analysis, and collaborating with cross-functional teams to provide insights that support business decisions.

As a Scientist I/II at Belharra Therapeutics, you will collaborate with chemists and biologists to develop tools for drug discovery, including high-throughput sample preparation and small molecule screening. Responsibilities include profiling proteomic engagement through mass spectrometry, characterizing hits, supporting probe validation, and documenting findings. Strong problem-solving and communication skills are essential.

The (Senior) Scientist in Biophysics at Lyterian Therapeutics will characterize proteins relevant to drug discovery using various biochemical and biophysical techniques. Responsibilities include designing assays, supporting collaborative projects, and contributing to intellectual property, while maintaining communication across scientific teams.

The Data Strategist will collaborate with various teams to define KPIs, analyze marketing data, interpret trends, and translate data analyses into actionable insights. They will present findings to clients and internal stakeholders, leveraging tools such as Python, Excel, and Tableau. A key focus is on digital marketing strategies and social media analytics.

The Scientist II/Senior Scientist will oversee AAV purification processes, managing both internal and external CDMO operations. Responsibilities include optimizing large-scale purification techniques, mentoring junior staff, conducting process characterization, and ensuring compliance with regulatory standards. The role requires strategic thinking and problem-solving to enhance process development.

The AI, Data Strategy and Integration Lead will develop and implement a long-term data strategy to support Golin's AI transformation. Responsibilities include managing data lakes, establishing data governance, acquiring data, integrating AI tools, and fostering data-driven innovation across the agency.