The Proposal Solutions Architect will lead the creation and presentation of high-level solution designs, manage proposals from start to finish, and collaborate with various teams to provide innovative technology recommendations and data strategies that meet client needs. This role requires extensive experience in proposal development for federal solicitations and an understanding of cloud services and technology ecosystems.

The Software Engineer will develop a Python library for semantic mappings between common data models such as FHIR and OMOP, generating ETL code for SQL, PySpark, and Pandas. Responsibilities include collaborating with SMEs, ensuring compliance with data regulations, and maintaining a scalable codebase.

The Solutions Architect will drive business growth by identifying opportunities, developing strategic partnerships, and securing funding for research initiatives in data science and public health. This role involves writing proposals, analyzing funding trends, maintaining stakeholder relationships, and leveraging large language models to enhance business development processes.

The Pharmacoepidemiologist will collaborate with clinical and data scientists to design and execute causal inference studies using real-world data. Responsibilities include creating decision tools for RWE studies, ensuring data quality, and collaborating with software developers to implement strategies.

The Data Engineer will be responsible for designing and maintaining scalable data pipelines, automating ETL processes, collaborating with data science teams to harmonize datasets, and implementing data standardization practices. Responsibilities also include utilizing workflow management systems and containerization technologies to support clinical and research data projects.