Top Data Science Jobs

As a Machine Learning Scientist, you will drive research in generative modeling technologies for biomolecular design, develop deep learning methods for protein prediction, curate datasets, and collaborate with biology teams. The role requires implementing and analyzing computational approaches and shaping the scientific vision of the company.

As a Data Science Analyst, you will leverage data to drive strategic decisions while developing the Narrative Analytics offering. Responsibilities include utilizing machine learning techniques, conducting data analysis, and collaborating with teams to create narrative-driven data sets that meet customer needs.

The Oracle DBA role involves administering large test and development database environments, supporting production and development systems on a 24x7 basis, and tuning database performance. Additionally, it requires experience with Oracle GoldenGate and overall DBA responsibilities, along with strong communication skills.

As a Data Scientist at MAXISIQ, you will support customer data collection, prioritize the ingestion of new data, and manage data in a fast-paced environment. You will utilize various database systems, write scripts, and apply statistical skills to enhance data-driven decision-making.

Lead the development of a unified data reference architecture, data modeling, and implementation of data mesh or data fabric. Collaborate with teams, evaluate technologies, ensure compliance, and monitor performance of data architecture. Top Secret clearance and Bachelor's or Master's degree required.

The Senior Scientist II will manage and mentor a team for protein purification and characterization of lead drug candidates, develop production workflows, and ensure QC for in-vivo grade products while bridging R&D to Tech Ops for manufacturability. The candidate will also guide experimental innovation, contribute to scientific strategy, monitor team progress, and identify growth opportunities.

The Senior Business Intelligence Analyst will drive strategic decision-making by working with stakeholders to identify trends, generate insights, develop reporting suites, create forecasting models, and perform ad hoc analyses. They will collaborate with data analysts and engineers to ensure accurate data is available and lead cross-functional projects.