Top Senior Level Data & Analytics Jobs

The Senior Scientist will lead analytical activities supporting process development, optimize platform coordination, and act as a subject matter expert for cell counting and flow cytometry. Responsibilities include method development, data management, and mentoring a team while managing project timelines and budgets.

The Senior Scientist in Process Development will lead the development and optimization of AAV manufacturing processes, providing technical expertise in bioreactor operation and cell culture. This role involves managing complex experiments, mentoring junior staff, and contributing to project leadership and process optimization initiatives.

The Lead Data Architect will lead the design of scalable data architectures to meet clients' analytics and AI/ML needs. Responsibilities include partnering with stakeholders to define data strategies, conducting data platform assessments, and creating end-to-end data pipelines while staying updated on emerging data technologies.

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 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 Technical Business Analyst will join the Fenergo implementation project, focusing on translating business needs into technical solutions and collaborating with business and technical teams. Key tasks include documenting requirements, supporting UAT, and ensuring data migration integrity.

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.