Partner with Sales and Federal Programs leadership to position Lifebit’s platform in capture and proposal activities.
Deliver technical presentations, demos, and solution workshops to Canadian health agencies.
Translate RFI/RFP requirements into clear solution architectures aligned to Lifebit’s product capabilities.
Serve as the technical point of contact for customers post-sale, ensuring seamless onboarding and adoption.
Guide deployments around data ingestion, harmonization (OMOP, HL7 FHIR, CDISC), and Privacy-Preserving Record Linkage (PPRL).
Work with customer admins and researchers to configure federated access, metadata cataloging, and TRE (Trusted Research Environment) capabilities.
Act as a bridge between customers, sales, and product engineering — feeding back federal-specific requirements.
Train and enable end-users (researchers, analysts, clinicians) across no-code, low-code, and high-code personas.
Contribute technical expertise to proposals, whitepapers, and federal solution documents.
Requirements
Education: MSc in Biology, Bioinformatics, Computational Biology, or a closely related advanced technical field.
3–5+ years in a technical solutions, solutions engineering, or customer success role (ideally in federal health / life sciences).
Strong understanding of real-world data (RWD): claims, EHR, genomics, imaging, unstructured data.
Experience with data harmonization and interoperability standards (OMOP, HL7 FHIR, CDISC, Sentinel CDM).
Experience with scripting or analytical tools (Python, SQL, RStudio, or Jupyter) and workflow language (Nextflow, Snakemake or WDL).
Familiarity with federated architectures and PPRL/linkage technologies (e.g., Datavant).
Comfort engaging with both technical and non-technical stakeholders in NIH, DHA, or comparable agencies.
Strong presentation, communication, and proposal support skills.
Tech Stack
Python
SQL
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