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Director, Protein Engineering and Structural Biology

Job in Vancouver, Clark County, Washington, 98662, USA
Listing for: SupportFinity™
Full Time position
Listed on 2026-03-01
Job specializations:
  • Research/Development
    Research Scientist, Biotechnology
Salary/Wage Range or Industry Benchmark: 165000 - 230000 USD Yearly USD 165000.00 230000.00 YEAR
Job Description & How to Apply Below

Director, Protein Engineering and Structural Biology

Absci | Posted Feb 26, 2026

Full-time

Advanced (5-10 yrs)

About Absci

Absci is a clinical‑stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting‑edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.

Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at  or follow us on Linked In (@absci), X (@Abscibio), and You Tube.

Director, Protein Engineering and Structural Biology

Vancouver, WA (onsite)

The Director, Protein Engineering and Structural Biology, will lead a team of highly specialized scientists supporting Absci’s drug‑creation programs at the intersection of antibody engineering, structural biology, and AI‑enabled biologics discovery. This role contributes directly to advancing internal and partnered programs while embodying Absci’s values of Innovation, Collaboration, and Determination.

We are considering candidates for both Associate Director and Director level positions:

Associate Director Level

Demonstrated experience leading efforts related to protein engineering and/or structural biology in programs (such as project teams, technical initiatives, or technology development). Track record of scientific and technical contributions to pipeline advancement.

Director Level

Broader experience providing strategic and scientific leadership across multiple protein engineering and/or structural biology projects or platforms. Proven ability to shape team vision, mentor staff, and influence cross‑functional or organizational direction.

Responsibilities Scientific Leadership and Collaboration
  • Lead a multidisciplinary team focused on antibody engineering, structural biology, and binding characterization to support multiple internal and external drug‑creation programs.
  • Mentor scientists and research associates, supporting technical development, scientific excellence, and career growth.
  • Partner closely with the AI team to align experimental and computational strategies supporting Absci’s generative AI drug‑creation platform, including collaboration on model evaluation and establishment of in‑silico metrics to assess performance of de‑novo design and lead optimization efforts.
  • Serve as the protein engineering lead on cross‑functional project teams, partnering with computational biology, analytical development and translational teams to coordinate experiments and maintain alignment on timelines, resources and objectives.
  • Regularly summarize and present data to internal and external stakeholders to support informed decision‑making to advance programs.
  • Maintain awareness of emerging technologies and the competitive landscape in biologics discovery.
Research and Innovation
  • Lead efforts to develop and optimize platforms for mAb and multispecific therapeutics, from design to production, testing, and evaluation.
  • Rationally design molecules, perform antigen/antibody structural analyses to recommend residue‑level changes that improve interaction function, specificity, stability, and manufacturability.
  • Design and implement binding and biophysical assays to assess the mutation impacts on protein structure and function.
  • Coordinate closely with Absci teams to ensure high‑quality protein expression, purification, and biophysical characterization of complex biologics and antigens.
  • Partner with Translational biology teams to provide mechanistic insight into target biology and antibody–target interactions, supporting target assessment and MOA understanding.
Profile for Success
  • PhD in life sciences with 8+ years of experience (including 5+ years in biopharma or biotech) or MS with equivalent experience.
  • Proficiency in protein structure–function analysis and computational modeling (e.g., Schrödinger, MOE, Rosetta), with hands‑on experience designing and optimizing bispecific and multispecific antibodies.
  • Deep understanding of antibody structure–function relationships, sequence optimization, and expression/purification workflows.
  • Experience…
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