Drive cross-functional portfolio strategy for AI-enabled therapeutic applications, shaping pipeline direction and influencing investments from early ideation through development.
The Role:
Generate:Biomedicines is seeking a visionary and execution-focused Executive Director to lead new Therapeutic Applications (TApps) and serve as a Portfolio Team Lead within our AI-enabled drug discovery engine.
This role represents an evolution from the former Head of Early Discovery Biology model. Rather than leading all early discovery activities functionally, this leader will:
This leader may drive therapeutic applications in areas such as ion channels or other complex target classes, depending on portfolio needs and strategic priorities. Reporting to the Chief Scientific Officer, this Executive Director operates at enterprise scope, shaping pipeline direction, influencing platform investments, and driving programs through key inflection points toward candidate nomination and beyond. This is a highly cross-functional leadership role at the intersection of biology, AI/ML-enabled protein generation, and therapeutic strategy.
This position will be located in Somerville, MA and be required to be onsite each week.
Here's how you will contribute:
Therapeutic Application Strategy
Portfolio Team Leadership
Scientific & Organizational Leadership
Enterprise & Strategic Impact
Decisions in this role will materially impact company-level objectives and long-term pipeline value.
Leadership Responsibilities
This role will:
This role offers the opportunity to:
The Ideal Candidate will have:
Nice to Have
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.
Generate Biomedicines builds a machine learning-powered platform that revolutionizes the creation of therapeutic medicines through a distinctive approach called Generative Biology™. This platform targets the intersection of biological engineering and medicine, allowing the computational generation of novel therapeutics rather than relying on traditional discovery methods.
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