Senior LVV Downstream Process Engineer

legendcareers; New Jersey; On-site; USD 140,000 - 190,000; Full time

Job summary

Legend Biotech seeks a Senior/Principal Engineer for Lentivirus Downstream Process Development in Somerset, NJ. This role designs, optimizes, and scales purification steps for LVV, ensuring robust GMP manufacturing readiness and technology transfer across sites.

The candidate will build mechanistic and hybrid models, apply ML for process insights, and collaborate with Upstream and Analytical Development to maximize vector recovery, purity, and potency.

Qualifications

• Advanced degree in Chemical/Biochemical/Bioprocess Engineering.
• 6+ years (PhD) or 8+ years (MS) in biotech process development or manufacturing.
• Experience with bioprocess modeling/simulation.
• Experience with Python and/or MATLAB.
• Strong expertise in downstream purification, including chromatography and TFF.
• Understanding GMP requirements for clinical‑stage product development.

Responsibilities

• Design, optimize, and scale LVV downstream purification processes for GMP manufacturing.
• Build mechanistic and data-driven models to guide development and tech transfer.
• Apply ML/analytics to generate process insights and drive optimization.
• Coordinate with upstream, analytics, and cross‑functional teams for integrated outcomes.
• Lead or support technology transfer to GMP facilities and CDMOs.
• Develop APC strategies (e.g., MPC, state estimators) to enhance performance.
• Identify risks and mitigation plans; ensure regulatory readiness.

Skills

Bioprocess modeling

GMP knowledge

Process scale-up

Downstream purification

Chromatography

APC control strategies

Education

PhD in Chemical/Biochemical/Bioprocess Engineering

MS in Chemical/Biochemical/Bioprocess Engineering

Tools

Python

MATLAB

Job description

Legend Biotech seeks a Senior/Principal Engineer for Lentivirus Downstream Process Development in Somerset, NJ. This role designs, optimizes, and scales purification steps for LVV, ensuring robust GMP manufacturing readiness and technology transfer across sites.

The candidate will build mechanistic and hybrid models, apply ML for process insights, and collaborate with Upstream and Analytical Development to maximize vector recovery, purity, and potency.