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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.

What careers can I do with Python?

Python is widely used in careers such as bioinformatics, computational biology, data analysis, and scientific research. Roles often involve developing algorithms, analyzing biological data, and automating workflows, with skills in programming, statistics, and biology. Knowledge of tools like Jupyter notebooks and libraries such as Biopython can enhance job prospects.

What biology jobs pay over $100k?

In biology-related fields, roles such as bioinformatics director, pharmaceutical research scientist, and senior clinical research manager often have salaries exceeding $100,000 annually. These positions typically require advanced degrees, strong analytical skills, and experience with specialized tools like R or Python for data analysis.

Is Python useful for biology?

Python is widely used in biology-related jobs for data analysis, modeling, and automation of research workflows. Skills in Python, along with knowledge of biological data formats and libraries like Biopython, are valuable for bioinformatics, computational biology, and genomics roles.

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 is the highest paying job in bioinformatics?

The highest paying jobs in bioinformatics are often senior roles such as Bioinformatics Directors, Computational Biology Managers, or Lead Data Scientists, with salaries exceeding $150,000 annually. These positions typically require advanced degrees, extensive experience, and expertise in programming, data analysis, and biological sciences.
What cities in Texas are hiring for Python Biology jobs? Cities in Texas with the most Python Biology job openings:

Research Scientist, Bioinformatics & Computational Genomics

Advanta Seeds

College Station, TX • On-site

Full-time

Posted 24 days ago


Job description

Job Summary:
Advanta Seeds is a global seed business focused on innovation and technology to address food insecurity and climate change. They are seeking a motivated Research Scientist in Bioinformatics and Computational Genomics to support their crop breeding program, focusing on genomic data processing and analysis, as well as laboratory work involving assay design and validation.
Responsibilities:
• Develop and support computational pipelines for genomic data processing and analysis.
• Perform sequence analysis, read processing, and variant discovery from next-generation sequencing datasets.
• Generate high-quality variant datasets, including VCF files, for downstream research and breeding applications.
• Perform genome assembly analyses (including scaffold-level assembly where applicable) and compare assemblies and genomic regions across multiple reference genomes.
• Identify SNPs and other sequence variants relevant to research and breeding objectives.
• A bility to design primers informed by comparative genomic analysis across multiple reference genomes.
• Support difficult marker-related problems by providing sequence-based analysis and computational interpretation.
• Retrieve, organize, and analyze genomic and associated metadata from relational databases, including SQL-based systems.
• Write scripts and automated workflows in Python, R, bash, or similar languages to streamline analysis and reporting.
• Document methods, results, and workflows clearly and reproducibly, and present findings to internal teams.
• Work independently on assigned analyses while coordinating with the manager and relevant collaborators as needed.
• Support projects across multiple crops, with the ability to perform analysis across species.
Qualifications:
Required:
• PhD in Bioinformatics, Computational Biology, Genomics, Genetics, Plant Biology, or a closely related field.
• Strong computational genomics background with hands-on experience in several of the following areas: variant calling, genome assembly, pipeline development, primer design.
• Strong programming skills, with the ability to independently develop and troubleshoot scripts and workflows in a Linux environment.
• Proficiency in Python and at least one additional analysis language or environment such as R or bash.
• Experience working in Linux-based computational environments.
• Experience handling large-scale genomics datasets.
• Experience generating, processing, and interpreting sequence-based outputs such as assemblies, alignments, and VCF files.
• Experience comparing genomic data across multiple references, assemblies, or sequence datasets.
• Working knowledge of molecular biology sufficient to support marker and primer design decisions, even if the role is not bench-based.
• Familiarity with relational databases and the ability to retrieve and manipulate data using SQL.
• Strong organizational skills, scientific judgment, and the ability to manage multiple tasks with limited supervision.
• Strong written and verbal communication skills and the ability to document analyses clearly.
• Cultural sensitivity and ability to work effectively in a diverse team environment.
• Must be legally authorized to work in the United States. Advanta does not offer employment sponsorship for this position.
Preferred:
• Experience in plant genomics, crop genetics, or computational support of breeding programs.
• Experience analyzing data from multiple crop species or transferring analysis strategies across species.
• Experience with comparative genomics across diverse germplasm or multiple reference genomes.
• Experience building reproducible workflows for routine genomic analysis.
• Experience supporting molecular marker development through computational sequence analysis.
• Ability to grow into an increasingly independent role and take ownership of technically demanding analyses.
Company:
Advanta Seeds specializes in the development of farming solutions and technology in plant breeding. It is a sub-organization of UPL. Founded in 1994, the company is headquartered in Dubai, ARE, with a team of 1001-5000 employees. The company is currently Late Stage.