Director, Wet Lab Engineering
Generate Biomedicines
This listing was originally posted on Generate Biomedicines's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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Generate Biomedicines is seeking a Director of Wet Lab Engineering to lead our multidisciplinary team in building the technologies that will define the next generation of experimental science. The team spans hardware, optics, microfluidics, automation, and software, and develops novel instruments, automated workflows, and integrated experimental systems that connect the physical laboratory with data, computation, and AI to accelerate the discovery and development of protein and biologic therapeutics.
This is an exciting opportunity for someone who is deeply technical, creative, and a people-focused engineering leader who can help define the laboratory of the future and then build it. This leader will shape our vision for increasingly agentic laboratory operations, bringing together instruments, robotics, software, new assays and data types, and AI to enable experiments at unprecedented speed, complexity, and scale. The ideal candidate will have deep expertise in at least one physical engineering discipline, along with the technical breadth and judgment to lead across many others, recognize excellent engineering, and bring people and technologies into systems that are more powerful than their individual components.
Importantly, Wet Lab Engineering is embedded within a highly technology-driven therapeutics organization, where the systems we build are not ends in themselves: enabling biological discovery, platform development, and therapeutic programs. We value leaders who are genuinely energized and engaged by biology and drug discovery, comfortable partnering closely with scientists, and able to understand the purpose behind an assay or workflow. The ideal leader will be motivated by seeing engineering translate into better experiments, faster learning, and ultimately better medicines.
Here's how you will contribute:
The Ideal Candidate will have:
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About Generate:Biomedicines
We are a clinical-stage generative biology company pioneering the AI revolution in drug design and development. We are advancing a new approach to drug creation—one grounded in the ability to design proteins with defined biological intent. By integrating machine learning with large-scale experimentation, this approach aims to reduce the uncertainty, time, and cost associated with developing protein-based medicines.
Founded in 2018, we are advancing a growing pipeline of clinical and preclinical programs across multiple disease areas and protein modalities. By unifying computational design and clinical development within a single operating model, we translate this approach into clinical-stage programs and are leading a shift from traditional drug discovery toward systematic drug generation.
At Generate:Biomedicines, we collaborate across disciplines in new ways to invent and innovate. We bring diverse perspectives to a shared goal of delivering better medicines to patients in need, faster, guided by our values and leadership behaviors.
Generate:Biomedicines is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Recruitment & Staffing Agencies: Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.
Compensation: The base salary range provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.
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Machine Learning for Therapeutic Protein Design
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