Title:  Project Intern

Division:  Molecular Physiology and Biophysics
Schedule:  TBD
Work Location:  Baylor Main Campus, Houston, TX
Salary Range: 
FLSA Status:  Nonexempt
Requisition ID:  2882
Job Purpose

Internships are a temporary professional learning experience in which participants gain practical work experience related to a student’s field of study or career interest.  Interns must be a part of an established Baylor College of Medicine Internship Program or receiving course credit at their College or University.

Job Duties

We are looking for a talented and motivated computer science graduate or undergraduate student to join our team as a machine learning / data science intern. The candidate will be responsible for deploying existing machine-learning libraries and deep neural-network architectures for genomics data. Prior background in molecular biology and genomics is not required. Review of candidates will begin immediately and will continue until the position is filled.
The candidate’s appointment will be in the computational biology group led by Dr. Md. Abul Hassan Samee in the Department of Molecular Physiology and Biophysics at the Baylor College of Medicine (samee@bcm.edu). The Samee Lab develops computational algorithms utilizing state of the art machine learning and statistical inference tools to answer questions in regulatory genomics, especially mechanistic questions that relate to human physiology and disease. The lab has a track record in modeling protein-DNA binding, transcriptional regulation, and comparative genomics data; and is currently developing novel methods for analyzing and modeling datasets on single-cell transcriptomics, spatial transcriptomics, and interaction between extra-cellular signaling and transcriptional regulatory networks.
The position offers
1. Access to high performance (CPU/GPU) computational facilities.
2. One-on-one mentorship.
3. Opportunities to participate in discussion and conception of novel algorithms.
4. Opportunities to collaborate with other computational and experimental researchers at BCM.
5. The PI is not only committed to serve as your scientific mentor and computational colleague, but will also be a strong advocate for your interests to learn new skills and develop your own career portfolio.

Minimum Qualifications

Education: Must be a High School or College Student (undergraduate or graduate).

Experience: None required.

Preferred Qualifications

1. The candidate has to be enrolled in the undergraduate or graduate program of a computer science (or any quantitative discipline related to CS) department
2. Programming experience in Python and/or R.
3. Experience using standard machine learning libraries (e.g., scikit-learn) and deep neural network libraries (e.g., keras).

Required Application Materials
1. Curriculum Vitae
2. Names and contact information for at least two references





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