Top Biotech Jobs

Provide onboarding and ongoing group and individual histology training, develop and update training materials, support compliance and quality goals, assist leadership with improvement plans, maintain training records, and perform histology tasks (processing, embedding, microtomy, staining, IHC) and occasional administrative or workflow support.

Receive, process and document environmental samples; maintain databases and documentation; perform shipping/receiving tasks; follow PPE and lab support procedures; participate in training.

Provide administrative support for the Project Management Team, act as a liaison for client needs, and manage project documentation and logistics.

As a Client Services Technician, you will coordinate sample-related activities in a laboratory, maintain documentation, and participate in training on lab support policies.

Lead technical accounting for complex transactions and M&A, perform technical accounting research and memos, manage purchase price accounting and post-acquisition integration, support close and SEC reporting, partner with auditors and cross-functional teams, and mentor junior staff.

Manage multi-state taxable income sourcing and allocation for wages and equity, enable payroll and equity data accuracy, maintain SOX-compliant controls, support audits, and partner with Payroll, HR, Equity Administration, and Finance to operationalize tax rules and scalable processes.

Lead tax operations focusing on multi-state taxable income sourcing, manage SOX-compliant processes, and ensure audit readiness in Payroll and equity systems.

Lead billing, accounts receivable, and revenue recognition (ASC 606) including month-end close, revenue modeling, forecasting, management reporting, SOX controls, audits, and cross-functional process improvements.

As a Senior Quantitative Data Scientist, you will ensure data quality, apply analytical methods for evidence generation, and collaborate with cross-functional teams to meet data strategy and analytic priorities.

The Head of Data Platform will manage Target RWE's data infrastructure, optimize workflows, and ensure efficient data ingestion for healthcare applications. Responsibilities include collaborating with stakeholders, translating requirements, and managing dashboard monitoring.

The Navigation Analyst will design and develop algorithms and embedded software, evaluate system performance, and communicate with stakeholders while tracking project scope and requirements.

Lead design, development, and testing of power system architectures and power-conversion hardware. Serve as SME on power electronics, optimize size/weight/power, define requirements, mitigate technical risks, mentor engineers, and support proposals and customer interactions.

The engineer will lead design transfers, manage risks, communicate with stakeholders, mentor juniors, and ensure successful product industrialization.

The Data Scientist supports AI-driven initiatives, conducts analytics, builds machine learning algorithms, and develops technical reports. They work with large datasets to drive business improvements and enhance patient lifetime value.

The Contract Review Analyst reviews payor contracts, updates policy guidelines, and communicates changes to relevant departments. They facilitate interoffice communication on payor updates and assist in addressing payor-related questions.

The Billing Review Specialist ensures timely and accurate completion of billing reviews, communicates with payors and patients, verifies insurance eligibility, and maintains compliance with regulations.

Under direct supervision, receives and prepares patient specimens for laboratory testing: data entry, labeling, aliquoting, routing, operating safety equipment (biological cabinet, centrifuge), and maintaining documentation and specimen integrity.

The Manager will lead CMC stability programs, perform statistical analysis, manage stability databases, and present data to stakeholders.

The Senior Director of Statistical Programming leads the statistical programming function, manages resources, ensures quality of analysis and regulatory submissions, and drives innovation and standardization.

The Senior AI/ML Engineer will lead AI/ML initiatives, collaborate across teams, and implement data-driven solutions while shaping the company's AI/ML strategy.