Head of Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Tessera is seeking a creative and motivated computational scientist to lead and grow our Data Science team. The ideal candidate has deep technical expertise in machine learning and deep learning, a track record of applying those skills to problems in biology and/or drug discovery, and strong leadership skills. You and your team will work on exciting challenges in the areas of genomic search, protein engineering, multi-omics data analysis, image analysis, and more.

The Data Science group is part of a rapidly growing, multi-disciplinary “digital” department and will work closely with colleagues in Computational Biology, RNA & Protein Engineering, Data Engineering, etc. as well as experimental scientists across Research, external collaborators, partners, and more.

Key Responsibilities:

• Recruit, lead, mentor, and develop a talented team of data scientists.
• Identify opportunities to apply machine learning techniques to help move our platforms and programs forward.
• Lead the development, validation, and delivery of ML algorithms and pipelines using best practices and available tools/resources.
• Establish a strong foundation for Tessera’s machine learning capabilities and serve as a technical expert and point of contact within the company.
• Drive external collaborations.
• Collaborate closely with experimental scientists to ensure that data is generated and used effectively.
• Leverage public datasets where available and useful.

Qualifications:

• PhD in Computational Biology, Computer Science, Mathematics, or a related field.
• 5+ years of applied experience in industry, academia, or non-profit settings.
• Demonstrated experience applying modern machine learning techniques to large scale biological data and delivering impact in problems of biology and/or drug discovery.
• Strong technical proficiency in programming including ML frameworks, cloud computing, and dev ops.
• Understanding of molecular biology and genomics, including evolutionary biology and/or protein structure/function.
• Ideally experience in applying ML/AI techniques to protein engineering or sequence-structure-function studies.
• Ideally experience with recent advances in gene therapy and development of gene editing platforms
• History of working successfully in a cross-functional organization.
• Experience working in a fast paced and rapidly growing organization.
• Outstanding written and verbal communication skills, ability to work with colleagues from diverse scientific backgrounds and cultures.