LOCATION/DIVISION SPECIFIC INFORMATION

We are seeking a highly motivated and skilled Algorithm and AI leader. The position is based in Singapore and it is within the global Algorithm development team within Platform R&D organization, Genetic Sciences Division. We are a team with main locations in Singapore and in the US. We develop molecular testing and molecular diagnostics with world-renowned real-time PCR, digital PCR, microarray, and capillary electrophoresis instrumentation systems.

EDUCATION

• The position is offered to candidates with Ph.D. in Computer science, ML/AI, Applied Mathematics, Physics, Electrical Engineering, Statistics, Bioinformatics or a related field.
• Applicants with Master’s degree and 5+ years, direct experience in areas below, and shown passion for Algorithm and AI development will get a full consideration.

EXPERIENCE

• 2+ years of experience leading, running, mentoring Algorithm and AI product development team. Capable of building a high-performance team.
• 4+ years of direct experience in Software and Algorithm development for scientific applications and instruments.
• Experience in driving product development lifecycle, at least twice end to end, including algorithm design, implementation, testing, deployment, documentation.
• Strong technical and people leadership personality is necessary.
• Proficiency in Python and Linux is required, proficiency in C++ or Java is a strong preference. Experience with AWS technology stack is a must have.
• Experience with regulated software projects (HIPAA, FDA GMP, etc.) will make you a stronger candidate.
• Effective communication skills, especially for presenting scientific results, keeping records and working in a distributed team of scientists are vital.

• Manage a team focused on development and innovation for scientific instrumentation and applications.
• Provide vision and technical leadership for Algorithm and AI development, image processing, testing, Data Ops and ML Dev Ops.
• Guide your team to establish operation processes, define goals and success metrics.
• Establish productive collaboration with teams across sites and functions, including Software, Systems and Optical Engineers, Bench Scientists, Product and Program Managers, Customer Support Teams.