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Skills: Technical Product Management, Generative AI, Protein Design, Antibody Engineering, Drug Discovery
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Full-time
postgraduate degree
Flexible Work Hours, Flexible Work Arrangements, Mentorship, Career Growth Resources
Posted 34d ago
~40 hrs/week
Responsibilities
Lead the development of AI-driven applications for protein design and antibody engineering to accelerate drug discovery. Define generative AI agent experiences and integrate computational design pipelines with laboratory workflows.
Requirements
Requires over 6 years of Technical Product Management experience and 5 years of technical experience delivering large-scale SaaS, PaaS, or LaaS products. A postgraduate degree in Computational Biology or a related field and expertise in protein structure prediction tools are preferred.
Full job description
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
Are you passionate about leveraging AI to revolutionize life sciences? AWS Life Sciences Applied AI is seeking a Senior Product Manager, Technical to lead the development of applications that reimagine the experiences of life sciences researchers.
Key job responsibilities As Senior Product Manager, Technical, you'll lead pioneering product development for AI-driven protein design and antibody engineering. You’ll define novel, generative AI agent based experiences to help researchers accelerate drug discovery. You will also drive innovation by integrating computational design pipelines with laboratory workflows, and creating efficient systems for rational therapeutic design. This is a highly visible and impactful role within AWS, offering the opportunity to shape the future of life sciences technology and drive innovation at a global scale. You will be responsible for defining key product directions, adopting or inventing new machine learning techniques, reimagining user workflows and experiences, and fundamentally changing the state of practice. You will have a passion for building scalable end user products.
About the team ABOUT AWS:
Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications:
- 6+ years of working as a Technical Product Manager experience - 5+ years of technical (software development, network development, IT, other related) experience - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market)
Preferred Qualifications:
- Advanced degree (MS or PhD) in Computational Biology, Bioinformatics, Structural Biology, or related field, or equivalent industry experience - Demonstrated understanding of protein structure prediction and design tools (e.g., AlphaFold, RFDiffusion, ProteinMPNN) - Experience with drug discovery workflows and therapeutic development processes, particularly in antibody development - Track record of successful product launches that leverage ML/AI technologies - Strong technical background with ability to evaluate emerging technologies and contribute to technical discussions around computational biology - Experience leading cross-functional teams and collaborating with research scientists, engineers, and business stakeholders - Proven ability to translate complex scientific concepts into clear product requirements and user experiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Based on 2124 listings with disclosed salaries, most healthcare jobs in Washington pay between $80k–$189k per year. Individual offers vary with seniority, company size, and specialization.
How many Healthcare jobs are open in Washington right now?
There are currently 11,546 open healthcare positions in Washington listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Healthcare roles in Washington?
Companies currently hiring include MultiCare Health System, PROVIDENCE MEDICAL INSTITUTE, UW Medicine, Virginia Mason Franciscan Health, Agape In Home Care, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Healthcare jobs in Washington?
Yes — 968 of the 11546 open healthcare positions offer remote or hybrid work (316 remote, 652 hybrid).
How do I apply for Healthcare jobs in Washington?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.