Postdoctoral Associate

Baylor College of Medicine

Houston, TX

Job posting number: #7115272 (Ref:13650-en_US)

Posted: November 2, 2022

Application Deadline: Open Until Filled

Job Description


This position involves conducting scientific research at Baylor College of Medicine in the lab of Prof. Ankit Patel. The appointee will have a relevant doctoral degree and be expected to do algorithmic and theoretical research in the field of Machine Learning and Artificial Intelligence, with potential applications in Neuroscience, Biosciences and Medicine.


Specifically, we plan to study the properties of specialized Neural Networks (such as Recurrent Neural Networks, and Actor-Critic Networks) using a variety of theoretical approaches including Statistical Learning Theory, Probabilistic Modelling, Algorithm Design and Graph Theory, Information Theory, Dynamical Systems Theory, Control Theory, Optimization Theory, and Random Matrix Theory. Furthermore, we plan to collaborate with Neuroscientists, Bioscientists and Medical scientists to apply our work to enable advances in science and medicine. This position includes allowances for research expenses, including computing resources, participant costs, travel and subsistence costs towards project-specific travel, including conferences and scientific meetings.

Job Duties

  • Develops theoretical approaches and conduct empirical experiments supporting research aims.
  • Collects and analyzes data, conducts literature reviews, participates/assists in manuscript writing for publication in scientific journals and/or presentations.
  • Assists with grant writing.
  • Collaborates and communicates with PI, lab members and collaborators.
  • Oversees team’s junior members.
  • Attends scientific conferences and meetings.

Minimum Qualifications

  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications

  • A PhD (or be close to completion) in with a specialization relevant to the planned research area, i.e. artificial intelligence or machine learning, with applications in Biosciences.
  • Programming and data analysis skills in Python, and scientific manuscript preparation using LaTeX.
  • Experience with the design, implementation and analysis of machine learning models, deep reinforcement learning agents, and machine learning systems for analyzing large datasets, including time-series and medical/scientific data.
  • Prior experience publishing papers in conferences and journals.
  • Prior experience collaborating with researchers in Neuroscience, Biosciences or Medicine. Excellent command of written and spoken English.
  • Strong interest in pursuing a scientific career.
  • Strong research project management skills.



Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.


Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.



Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.

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Job posting number:#7115272 (Ref:13650-en_US)
Application Deadline:Open Until Filled
Employer Location:Baylor College of Medicine
United States
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