About the Role
Requirements
As a Sr. Biological AI/ML Engineer, you will be at the intersection of biology, machine learning, and artificial intelligence, driving innovation in our organization's research and development initiatives. The successful candidate will leverage AI and ML techniques to understand and predict biological phenomena, accelerating the development of breakthrough solutions.
Responsibilities:
Develop and implement AI and ML models to analyze large-scale biological datasets, generating actionable insights for research and development initiatives.
Utilize machine learning techniques to identify patterns and make predictions related to genetic, proteomic, metabolomic, and other biological data.
Collaborate closely with multidisciplinary teams, including bioengineers, computational biologists, and data scientists, to integrate AI/ML insights into the broader research context.
Provide technical leadership in the planning and execution of AI and ML projects, ensuring efficient and accurate data analysis.
Keep abreast of the latest developments in AI and ML and their applications in biology, driving continuous improvement in our research methodologies.
Mentor junior engineers, fostering a culture of learning and innovation within the team. Communicate complex AI/ML findings effectively to a broad range of audiences, authoring research findings in high-impact scientific journals. Ensure adherence to all regulatory standards and ethical guidelines in research conduct.
Qualifications:
Ph.D. in Bioinformatics, Computational Biology, Machine Learning, Computer Science, or a related field.
Extensive experience applying AI and ML techniques to biological data, particularly within a research and development context.
Proficiency in programming languages commonly used in AI/ML (e.g., Python, R) and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch). Experience with genomic, proteomic, or other high-dimensional biological data is highly desirable.
Exceptional written and verbal communication skills, with the ability to convey complex AI/ML concepts to a diverse audience.
Track record of peer-reviewed publications in relevant research. Proven leadership skills and ability to collaborate effectively in a multidisciplinary team setting.
About the Company