Instructor - Pathology (90002106)

Baylor College of Medicine

Houston, TX

ID: 7070986 (Ref.No. 5013-en_US)
Posted: October 14, 2020
Application Deadline: Open Until Filled

Job Description

Summary

The Center for Drug Discovery (https://www.bcm.edu/research/centers/drug-discovery) is a strategic research center established at Baylor College of Medicine (BCM) in Houston, Texas. The mission of the Center for Drug Discovery is to establish novel discovery technologies that enable rapid and cost-effective drug discovery within the academic community.

 


We are seeking highly skilled and motivated scientists with expertise in computational chemistry to join the Center for Drug Discovery. Central to our vision is the continued establishment of a small-molecule discovery platform using a DNA-encoded chemistry approach. The team, led by scientists with drug discovery experience in academia and the pharmaceutical and biotech industry, is looking to recruit additional chemists, informaticians, and programmers.

Job Duties
  • Maintain and extend existing front and back end applications supporting the initialization and cataloguing of experiments, decoding selection experiments, analyzing sequencing output, and dissemination of results.
  • Plan, direct and conduct research experiments.
  • Develop research techniques and perform applications required for specific research projects.
  • Conduct literature searches and summarize information in an appropriate format for a particular study.
  • Document results of experiments and reports to principal investigators.
  • Participate in early stage drug discovery efforts in collaboration with biological and chemical scientists throughout the academic community, with a goal of bringing new treatments to patients with unmet medical needs.
  • Contribute to multidisciplinary lead-finding project teams by engaging in the following activities: demonstrate the ability to draw on a broad range of multi-disciplinary information in order to develop and drive the implementation of innovative approaches to cheminformatics analysis on large scale data; integrate and maintain the Center's purchased software; develop and maintain scientific data infrastructure; analyze data and communicate results with a broad team of drug discovery scientists; work with scientists to identify new computational needs.
Minimum Qualifications
  • Education: Required: Doctoral Degree in Computational Chemistry or related discipline. Experience may not be substituted in lieu of degree.
  • Experience: Proficiency in coding and debugging in Python; Strong knowledge and experience with relational databases (e.g. Oracle, SQL, MySQL); Comfortable working in a Linux environment; Experience with data processing pipelines and data analysis
  • Experience in cheminformatics software development
  • Excellent communication skills with a diverse team of biological and chemical scientists
  • Experience with high performance computing environment (HPC) / cluster job submission
  • Knowledge of statistical methods, data science algorithms, scientific and numerical computation
  • Basic knowledge of chemistry and cheminformatics methods

 

 

 

 

 

 

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

 5013

CA; CH  



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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