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What is a postdoctoral in reproductive biology?

Postdoctoral researchers in reproductive biology are scientists who have completed their doctoral degrees and are engaged in advanced research related to reproductive systems, fertility, embryology, and developmental biology. They work in academic, clinical, or industry settings to investigate the mechanisms underlying reproduction in humans or animals. Their work often includes conducting experiments, publishing scientific papers, and collaborating with other researchers to advance knowledge in the field. This position is typically temporary and designed to further develop research skills before pursuing permanent academic or industry roles.

What are the key skills and qualifications needed to thrive as a postdoctoral in reproductive biology?

To thrive as a Postdoctoral Researcher in Reproductive Biology, you need a Ph.D. in a relevant life science field, with strong expertise in reproductive physiology, molecular biology, and experimental design. Familiarity with laboratory techniques like PCR, CRISPR, cell culture, and bioinformatics tools, as well as experience with scientific publishing and grant writing, is typically required. Strong analytical thinking, attention to detail, and effective communication and collaboration skills help drive research progress and teamwork. These skills are essential for advancing scientific discovery, publishing impactful research, and contributing to multidisciplinary projects in a competitive academic environment.

What are some common challenges faced by postdoctoral researchers in reproductive biology, and how can they be addressed?

Postdoctoral researchers in reproductive biology often encounter challenges such as securing funding for independent research, balancing laboratory work with publishing and networking, and staying current with rapidly evolving technologies. Collaborating with other scientists and joining interdisciplinary teams can help broaden research perspectives and access to resources. Regularly attending conferences and engaging in professional development programs are effective ways to address these challenges while building a strong professional network and enhancing career prospects.
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Infographic showing various Postdoctoral In Reproductive Biology job openings in Texas as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Postdoctoral Associate

Baylor College of Medicine

Houston, TX

Full-time

Re-posted 12 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

186th of 617 rated colleges and universities

Job description

Summary

Postdoctoral positions in cheminformatics are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Postdoctoral Associate with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Plans, directs and conducts research experiments.
  • Develops research techniques and perform applications required for specific research projects.
  • Conducts literature searches and summarize information in an appropriate format for a particular study.
  • Documents results of experiments and reports to principal investigators. 
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • Doctoral Degree in Computational Chemistry, bioinformatics, computational biology, or related discipline. Experience may not be substituted in lieu of degree.
  • Experience in cheminformatics software development.
  • Experience in developing machine learning, deep learning tools, especially with application in drug discovery.
  • Experience with high performance computing environment (HPC) / cluster job submission.
  • Knowledge of statistical methods, data science algorithms, scientific and numerical computation.
  • Familiarity with common Python tools including Pandas, Numpy, Scipy, Django, RDKit.
  • Proficiency in coding and debugging in Pytho.
  • 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.
  • Excellent communication skills with a diverse team of biological and chemical scientists.
  • Experience with development of open-source computational tools (machine learning, deep learning, cheminformatics), especially with application in drug discovery.

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

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