Top Biotech Data & Analytics Jobs

Support investment operations by building and maintaining scalable data infrastructure and pipelines, ensuring data integrity across investment systems, administering Dynamo/Canoe, reconciling data flows, and delivering analytics and dashboards using SQL, Tableau, and Python. Drive automation, CI/CD practices, and collaborate with Investment and Enterprise Data Analytics teams to optimize processes and produce actionable reporting.

Lead oversight of data management for assigned studies, manage external vendors, review and approve DM documentation, perform secondary UAT of EDC, implement RBQM oversight, and provide cross-functional input on protocols and study deliverables to ensure data quality and regulatory compliance.

The Sr. Manager/AD, Statistical Programmer will lead statistical programming for clinical studies, manage CROs, and ensure successful data analysis for regulatory submissions. Responsibilities include overseeing dataset creation, collaborating with clinical teams, and mentoring programming staff.

The IT Business Systems Analyst II evaluates business systems and customer needs, documents processes, collaborates with stakeholders, and assists in system designs for the Salesforce program.

The Senior Salesforce Analyst will manage and optimize the Salesforce CRM, lead integrations, train users, and improve business processes.

Build scalable pipelines and infrastructure to collect, validate, curate, and publish large multimodal 3D/4D microscopy datasets; collaborate with labs and engineers, document provenance, apply statistical analysis and visualization, and support ML research and open-data access.

Inceptive seeks candidates for research in biological software, collaborating with a multidisciplinary team to design accessible medicines and biotechnologies.

The Manager will oversee Genomics Hub operations, manage resources and teams, ensure workflow efficiency, and lead technology development and staff training.

The Sr Bioinformatics Scientist will develop secondary analysis algorithms for cancer treatment decisions based on molecular profiles, collaborating on R&D studies and providing technical guidance.