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Python Biology Jobs in Arizona (NOW HIRING)

Senior Automation Engineer

Phoenix, AZ ยท On-site

$99K - $130K/yr

Experience with automated molecular biology workflows and NGS sample preparation. * Experience with ... Programming experience in Python, C#, SQL, JavaScript, or similar languages. * Experience with LIMS ...

Senior Automation Engineer

Phoenix, AZ ยท On-site

$99K - $130K/yr

Experience with automated molecular biology workflows and NGS sample preparation. * Experience with ... Programming experience in Python, C#, SQL, JavaScript, or similar languages. * Experience with LIMS ...

... brain, immunology, stem cell biology, big data computational science, animal models of ... Expert-level programming skills in Python and/or R; proficiency with ML libraries (scikit-learn ...

Showing results 41-60

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.

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 roles in bioinformatics, computational biology, and systems biology.

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?

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.

Manager - Bioinformatics

Caris Life Sciences

Tempe, AZ โ€ข On-site

Full-time

Posted 16 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.

We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day:"What would I do if this patient were my mom?"That question drives everything we do.

But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.

Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.

Position Summary
The Manager, Bioinformatics leads a team of bioinformatics scientists responsible for the development, validation, implementation, and support of next-generation sequencing (NGS) bioinformatics pipelines and analytical workflows within a clinical or translational genomics environment. This role combines technical expertise, project leadership, and people management to ensure delivery of reliable, scalable, and compliant bioinformatics solutions supporting research, assay development, validation activities, and clinical operations. The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and scientific stakeholders to advance genomic testing capabilities and operational excellence.
Job Responsibilities

  • Lead, coach, mentor, and develop a team of bioinformatics scientists, including hiring support, onboarding, performance management, career development, and workload prioritization.
  • Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical solutions across development, validation, and production activities.
  • Establish project plans, priorities, timelines, and resource allocations for team initiatives and cross-functional programs.
  • Oversee development, optimization, validation, and maintenance of NGS bioinformatics pipelines and workflows.
  • Support end-to-end genomic data analysis, including quality control, alignment, variant calling, annotation, filtering, interpretation support, and reporting workflows.
  • Lead analytical development and validation activities for NGS assays, including performance assessment, reproducibility studies, concordance analysis, quality metrics, and documentation.
  • Drive implementation of scalable, automated, and reproducible computational workflows using software development and bioinformatics best practices.
  • Collaborate with software engineering and IT teams to support cloud-based infrastructure, workflow execution, data storage, monitoring, and system performance.
  • Ensure bioinformatics processes comply with applicable quality, regulatory, documentation, privacy, and security requirements.
  • Partner with laboratory scientists, molecular pathologists, clinical teams, statisticians, and researchers to translate scientific and clinical requirements into analytical solutions.
  • Monitor project progress, identify risks and dependencies, communicate status updates, and facilitate resolution of technical and operational challenges.
  • Investigate and resolve complex pipeline, assay, and data quality issues while supporting production operations as needed.
  • Serve as a technical subject matter expert for bioinformatics workflows, genomic analyses, and assay validation efforts.
  • Stay current on emerging technologies, tools, methodologies, and industry best practices in genomics and bioinformatics.


Required Qualifications

  • PhD degree with experience in Bioinformatics, Computational Biology, Biostatistics, Computer Science, Genomics, Molecular Biology, or a related field.
  • Minimum of 5 to 8 years of hands-on bioinformatics experience supporting NGS pipeline development, validation, or production operations.
  • Minimum of 2 to 4 years of people leadership experience.
  • Demonstrated experience managing projects and coordinating cross-functional stakeholders.
  • Strong knowledge of NGS data analysis methods, quality metrics, bioinformatics workflows, and genomic data interpretation.
  • Strong programming and scripting skills using Python, Bash, SQL, R, or equivalent tools.
  • Experience with AWS or other cloud computing platforms supporting genomic data processing and storage.
  • Strong communication, collaboration, organizational, and problem-solving skills.
  • Proficiency in Microsoft Office Suite.


Preferred Qualifications

  • Experience supporting both research and clinical bioinformatics environments.
  • Experience with liquid biopsy, MRD, cancer early detection, ctDNA analysis, or related applications.
  • Experience with multi-omic data integration and advanced genomic analyses.
  • Experience working in CLIA, CAP, NYSDOH, FDA, ISO, or comparable regulated environments.
  • Experience preparing validation reports, technical documentation, regulatory support materials, or scientific publications.


Physical Demands

  • Must be able to sit, stand, and work at a computer for extended periods.


Training

  • All required training will be assigned based on job responsibilities.


Other

  • May require occasional travel, after-hours support, and participation in on-call activities.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check( applicable for certain positions) and reference verification.

This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.