Top Python Jobs in Philadelphia, PA

As a Principal Biostatistician, you will lead statistical design and analysis for a clinical registry project, ensuring robust evidence generation and compliance, while collaborating with clinicians and developing impactful research findings.

The Associate Director will lead pharmacogenetic statistical analyses, collaborate across teams, and mentor researchers while managing projects in clinical development.

The Principal Scientist will analyze large-scale genetic data, develop predictive models, and collaborate with various scientific teams to guide drug discovery at GSK.

Lead the strategic direction of AI-powered products, manage the full product lifecycle, collaborate with cross-functional teams, and drive innovation in AI applications.

The Analyst will advise clients on using Orgvue, deliver advisory projects, conduct data analysis, and build client relationships.

The Consultant will design and deliver solutions using the Orgvue platform, collaborating with partners and internal teams on technical outcomes and mentoring juniors.

Develop and implement portfolio optimization frameworks, algorithms, and strategies while analyzing performance in live trading. Requires strong quantitative skills and programming expertise.

The Systems Engineer will develop, coordinate, and execute GEOINT product quality assessments while applying systems engineering processes for DoD acquisition programs.

As a Senior Data Engineer, you'll develop ETL pipelines, optimize API integrations, and architect data models to support Proscia's Real World Data initiatives in healthcare.

As a Machine Learning Engineer, you'll design, build, and deploy machine learning models to enhance user engagement at Penn Entertainment.

The CRM Administrator will enhance sales processes, support CRM usage, create automated reports, and manage the Zoho CRM platform for a global bioprocessing team.

Design and execute test environments, develop automation frameworks, manage project teams, troubleshoot system issues, and mentor junior engineers in a fast-paced environment.

Analyze and manage reporting and data functions using SQL and Python, design dashboards with Tableau and Power BI, and collaborate with cross-functional teams.

The candidate will develop statistical and machine learning models, analyze data, and implement solutions using programming languages and cloud environments to improve business outcomes.

Oversee software development teams, plan and design software applications, manage cloud engineering projects, and ensure adherence to deadlines and budgets while mentoring junior engineers.

The QA Automation Engineer IV oversees test automation for core applications, ensuring proper coverage and defect management, and mentors team members.

The Technical Architect will design and lead integration solutions, provide technical guidance, ensure scalable architectures, and mentor teams while leveraging modern technologies and frameworks.

This internship focuses on applying machine learning concepts and techniques, involving data preprocessing, model training, and evaluation, while collaborating in development teams.

The Senior Engineer focuses on managing complex infrastructure and distributed systems, developing production-ready code, and supporting production environments, primarily using Kubernetes and Linux.

As a Data Privacy Scientist, you'll identify privacy risks, design privacy frameworks, develop algorithms, and ensure HIPAA compliance while collaborating across the organization.

As a Privacy Engineer, you'll identify privacy risks, design privacy frameworks, and build scalable privacy tools while ensuring HIPAA compliance in healthcare data usage.

The role involves designing and deploying AI/ML models, collaborating with stakeholders, and enhancing operational efficiency through innovative solutions.

The Software Engineer Intern role involves coding, testing, and maintaining software applications while collaborating in a team to enhance programming skills.

As a QE Lead Performance Engineer, you will lead performance testing initiatives, optimizing application performance through analysis and collaboration. You will mentor a team, implement strategies, and document processes while ensuring alignment with development objectives.

Lead technical initiatives in data manipulation and transformation for business applications, utilizing various software and cloud technologies, while mentoring junior engineers.