Scientist – Device Technology Assessment and Early Development SME (Hybrid)

Job Description

The Scientist of Device Technology Assessment and Early Development will spearhead early-stage device technology evaluation and feasibility initiatives. This role will focus on front-end development, emphasizing the exploration and assessment of emerging drug delivery device technologies. The ideal candidate will lead efforts in assessing the viability of new concepts and drive early development to enable assets more efficiently in our company early portfolio.

Key Responsibilities:

• Evaluate cutting-edge drug delivery device technologies and their potential applications to our company pipeline.

• Support early feasibility/development studies to determine viability and inform on technology selection and development strategies. This includes, but not limited to, design for manufacture/function analysis, preliminary supply chain development, and supplier risk assessment(s).

• Collaborate with cross-functional teams to translate these technological insights into an actionable preliminary development strategy to progress forward to late phase development and commercialization.

• Foster a culture of innovation by encouraging creative problem-solving and experimentation.

Qualifications and Experience:

• B.A./B.S in Mechanical Engineering, Biomedical Engineering, Industrial and/or Systems Engineering, or other types of engineering

• A minimum of a M.S. or a B.S. plus 2 years of design, engineering, and mechanical testing experience.

• Proven track record of applying product design and development methodology in the medical device and/or combination product space.

• Strong interpersonal skills and a strategic thinker; able to influence without formal authority; ability to influence and present complex ideas.

• Foster a culture of innovation by encouraging creative problem-solving and experimentation.

• Self-motivated and work independently.

Required Skills:

Accountability, Biomedical Engineering, Collaborative Problem Solving (CPS), Combination Products, Cross-Functional Planning, Data Analysis, Deep Learning, Human Factor Engineering, Interpersonal Relationships, Machine Learning (ML), Manufacturing Processes, Materials Science, Mechanical Engineering, Mechanical Testing, Mechatronics, Medical Devices, Medical Device Technologies, Medical Product Development, Procurement Risk Management, Product Design, Prototyping, Risk Management, Self Motivation, Statistical Analysis, Supplier Risk Assessment

Preferred Skills:

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We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.