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Python Biology Jobs in Texas (NOW HIRING)

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Python Biology information

What is the difference between Python Biology vs Bioinformatics Analyst?

AspectPython BiologyBioinformatics Analyst
Required CredentialsBiology degree, Python programming skillsBiology or related degree, Python and data analysis skills
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, biotech firms, healthcare organizations
Industry UsageData analysis, modeling biological systems using PythonAnalyzing biological data, developing pipelines, interpreting results

Python Biology focuses on applying Python programming to biological research, often emphasizing coding and data modeling. Bioinformatics Analysts combine biological knowledge with data analysis skills, including Python, to interpret complex biological datasets. Both roles require programming skills and work in similar environments, but Python Biology is more research and development-oriented, while Bioinformatics Analysts focus on data interpretation and analysis.

How do Python Biology professionals typically collaborate with interdisciplinary teams in research settings?

Python Biology professionals often work closely with biologists, data scientists, and software engineers to analyze complex biological data. Collaboration usually involves translating biological questions into computational tasks, developing data pipelines, and presenting findings in a way that is accessible to both technical and non-technical stakeholders. Regular meetings and code reviews are common practices, ensuring that the software developed aligns with the scientific goals of the project. This interdisciplinary approach not only enhances research outcomes but also provides valuable learning and growth opportunities for team members.

What are the key skills and qualifications needed to thrive as a Computational Biologist specializing in Python, and why are they important?

To thrive as a Computational Biologist with a focus on Python, you need a strong background in biology, bioinformatics, and programming, typically supported by a degree in biological sciences, computer science, or a related field. Familiarity with Python libraries like Biopython, NumPy, and pandas, as well as experience with data analysis tools and version control systems such as Git, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting biological data and collaborating with interdisciplinary teams. These competencies enable accurate data analysis, innovative research, and effective teamwork in advancing biological discoveries.

What is a Python biologist?

A Python biologist is a professional who uses the Python programming language to analyze and interpret biological data. They often work in fields like bioinformatics, genomics, and computational biology, developing software tools to process large datasets such as DNA sequences or protein structures. Python biologists help translate complex biological problems into computational solutions, enabling researchers to gain insights that would be difficult to achieve manually.
What cities in Texas are hiring for Python Biology jobs? Cities in Texas with the most Python Biology job openings:
Postdoctoral Fellow - Thoracic Head & Neck Medical Oncology

Postdoctoral Fellow - Thoracic Head & Neck Medical Oncology

MD Anderson Cancer Center

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 24 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 165 frontline employees who took The Breakroom Quiz

33rd of 877 rated healthcare providers


Job description

Postdoctoral positions are available to study molecular mechanisms associated with therapeutic response and resistance to RAS inhibition in non-small cell lung cancer (NSCLC) in the laboratory of Ferdinandos Skoulidis, MD, PhD, at the University of Texas MD Anderson Cancer Center in Houston, TX. The lab is largely interested in understanding the molecular diversity of KRAS-mutant NSCLC and developing rational and tailored treatment strategies for patients bearing KRAS-mutant lung tumors. We utilize a multifaceted approach that encompasses preclinical studies in immunocompetent syngeneic and genetically engineered co-mutational models of KRAS-mutant NSCLC as well as PDX/CDXs, in vitro models, and large collections of well-annotated clinical specimens. We employ state-of-the-art computational biology/bioinformatics approaches to dissect acute and adaptive responses to RAS inhibition in vitro and in vivo. We are committed to a question-driven approach that seeks to address the most urgent clinically relevant scientific questions. Applicants with experience in any of these areas and a true passion for cutting-edge bench-to-bedside research are encouraged to apply and provide three professional references.
LEARNING OBJECTIVES
Trainees will perform basic and translational research involving molecular biology approaches (such as CRISPR/Cas technology, Western blotting, ELISA, immunohistochemistry), in vitro assays (such as drug screening, flow cytometry, development of resistant cell lines) and in vivo experiments using xenograft, syngeneic and genetically engineered mouse models of KRAS-mutant lung cancer. Candidates with prior experience in computational biology will acquire additional skills and be involved in the analysis of single-cell RNA Sequencing, WES, and in situ transcriptomics data. Trainees will present their findings at regular lab meetings, departmental seminars, and national conferences. Trainees will submit their findings for publication in a peer-reviewed scientific journal.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
ELIGIBILITY REQUIREMENTS
Applications are invited from qualified individuals interested in working in a translational research lab, with a PhD and/or MD. The ideal candidate(s) should have less than 2 years of prior postdoctoral experience and have a background in cancer or cell and molecular biology. Experience in RAS signaling and targeting, and studies involving mouse models of KRAS-driven cancers, is preferred. We are also looking for applicants with prior expertise in computational biology and bioinformatics, including analysis of single-cell RNA sequencing data and in situ transcriptomics. Candidates should be innovative thinkers and highly motivated to pursue an independent career in biomedical research.
Job Knowledge And Skills:
1. Enthusiastic, highly self-motivated candidate with the ability to think and function independently
2. A strong background in cancer biology or cell and molecular biology. Prior experience in RAS signaling and/or targeting is preferred
3. Expertise in computational biology/bioinformatics (including proficiency in Python/R) would be desirable, though this skill is not essential
4. Prior experience with studies involving mice, including both xenograft/syngeneic models and genetically engineered mice, is preferred
5. Dedication to basic research, a true "drive", is important
6. Collegial nature and ability to work well as part of a team
7. Excellent command of written and spoken English language
8. Prior publication record with at least one published manuscript as first author
ADDITIONAL APPLICATION INFORMATION
https://faculty.mdanderson.org/profiles/ferdinandos_skoulidis.html
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000 . depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits , including medical, dental, paid time off , retirement , tuition benefits, educational opportunities, and individual and team recognition.
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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