Genomics AI/ML Postdoc Fellow

Simons Foundation; New York (NY); Presencial; USD 81.000 - 109.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Subsidized housing

Benefits package

Descripción de la vacante

The Center for Computational Biology (CCB) at the Simons Foundation's Flatiron Institute in New York City is seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its Genomics Group. Start date is flexible, with Fellows expected to begin no later than September 2027.

Candidates with strong publication records in computational biology, genomics, AI for science, and related fields are strongly encouraged to apply, with research focusing on state-of-the-art AI/ML and

Formación

• Ph.D. in a relevant field (computational biology, computer science, applied mathematics, statistics, biophysics, or related disciplines).
• Ability to do original research and develop AI/ML methods for biology.
• Experience with large-scale genomic/multi-omic data analyses and software development.

Responsabilidades

• Performing theoretical and computational research
• Developing, implementing and maintaining scientific software
• Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
• Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
• Assisting in student mentorship
• Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

Conocimientos

Computational biology

Computer science

AI for science

Genomics

Machine learning

Statistics

Educación

Ph.D. in a relevant field

Descripción del empleo

The Center for Computational Biology (CCB) at the Simons Foundation's Flatiron Institute in New York City is seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its Genomics Group. Start date is flexible, with Fellows expected to begin no later than September 2027.

Candidates with strong publication records in computational biology, genomics, AI for science, and related fields are strongly encouraged to apply, with research focusing on state-of-the-art AI/ML and