Sr Protein Design Product Owner
About the role
Join Amgens Mission of Serving Patients. Within Amgens Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal of advancing and applying computational protein design to revolutionize how biologic therapeutics are made. In this vital role, you will own protein design as a product, building the planning structures and workflow organization tools required to support a cross-functional team of scientists and engineers that are engaged in building and applying frontier models for protein design.
Responsibilities
- Take big picture responsibility, capturing requirements and building roadmaps to ensure the team knows exactly what to build next.
- Balance team resources between two critical types of deliverables: the platform tools we use, and the therapeutic molecules we develop for patients.
- Build automations to capture, organize, and communicate work both for the team and for leadership.
- Collaborate with computational and experimental scientists to establish these processes as a foundation of the discovery pipeline.
- Work towards individual ownership and a leadership role in building how Amgen delivers results.
Requirements
- Doctorate degree
- OR Masters degree and 2 years of product ownership experience
- OR Bachelors degree and 4 years of product ownership experience
- OR Associates degree and 8 years of product ownership experience
Preferred Qualifications
- Experience with product ownership related to machine learning or therapeutic development
- Advanced education in Software Engineering, Computer Science, or Computational Biology
- A strong background in workflow planning
- Experience building automations for workflow tracking tools like Jira
- Familiarity with UNIX/Linux, Python, PyTorch, Git, and cloud computing platforms
- Experience working with biological data, and applications of machine learning to computational biology
- Familiarity with protein design workflows
- Strong communication, project management, and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment
Benefits
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Pay
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
Schedule
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Skills
We are looking for a driven professional who is highly collaborative and confident, with the following qualifications:
- Experience with product ownership related to machine learning or therapeutic development
- Advanced education in Software Engineering, Computer Science, or Computational Biology
- A strong background in workflow planning
- Experience building automations for workflow tracking tools like Jira
- Familiarity with UNIX/Linux, Python, PyTorch, Git, and cloud computing platforms
- Experience working with biological data, and applications of machine learning to computational biology
- Familiarity with protein design workflows
- Strong communication, project management, and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment