Lifebit

Compensation

Full Description

Job Description: • Support Senior Solutions Managers and Sales in preparing demos, presentations, and technical documentation. • Assist with solution workshops and proposal responses by gathering requirements and helping align them with Lifebit’s capabilities. • Participate in customer onboarding and platform setup activities, ensuring smooth handover and communication. • Help configure data ingestion and harmonization pipelines (e.g., OMOP, FHIR, CDISC) under supervision. • Shadow customer meetings and deployments to gain experience with federated access, metadata cataloging, and Trusted Research Environment (TRE) capabilities. • Work closely with senior team members to capture customer feedback and translate it into actionable insights for product and engineering teams. • Assist in preparing internal documentation, training materials, and user guides for customers. • Contribute to whitepapers or technical notes as part of your professional development. Requirements: • Bachelor’s degree in Computer Science, Bioinformatics, Data Science, or a related field. • 0–1 years of experience in a technical, analytical, or customer-facing role (internships or research projects count). • Basic understanding of cloud infrastructure (AWS, Azure, or GCP) and/or data standards (OMOP, FHIR, CDISC). • Interest in federated data systems, privacy-preserving technologies, or biomedical data analytics. • Strong communication skills and a willingness to learn how to engage with both technical and non-technical stakeholders. • U.S.-based and eligible to work on federal health projects (security clearance eligibility is required). Benefits: • Compensation: Your work is rewarded with a competitive salary and performance-based incentives. • Professional Development: You are granted an annual personal development budget and access to leading industry conferences, training, and certifications. • Flexible Working: Receive 25 days of annual leave and hybrid remote work to maintain a healthy work-life balance. • Diverse Team Culture: Join an international and diverse team passionate about transforming healthcare through data. • Deep Technology & Science: Get exposure to problems and applications in the cloud, data analysis, ML, life sciences, and big data fields