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Research Python Jobs in Long Beach, CA (NOW HIRING)

Cedars Sinai

Research Intern

Los Angeles, CA · On-site

Develop introductory programming skills using R and Python. Training & Professional Development ... Research data organization and interpretation * Scientific writing and communication * Research ...

Cedars Sinai

Research Intern

Los Angeles, CA · On-site

Develop foundational programming skills using R and Python for research applications. Training & Professional Development Interns will receive training in: * Systematic literature review ...

Cedars Sinai

Research Intern

Los Angeles, CA

Develop foundational programming skills using R and Python for research applications. Training & Professional Development Interns will receive training in: * Systematic literature review ...

Cedars Sinai

Research Intern

Los Angeles, CA

Develop introductory programming skills using R and Python. Training & Professional Development ... Research data organization and interpretation * Scientific writing and communication * Research ...

Google

Research Engineer

Los Angeles, CA · On-site

... Research Engineering- related occupation. * Position requires experience in the following ... Python or C ; Algorithm design for machine learning applications; Statistical analysis for machine ...

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All JobsResearch Python JobsResearch Python Jobs in Long Beach, CA

Research Python information

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$13

$61

$90

How much do research python jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for research python in Long Beach, CA is $61.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.00 per hour, depending on experience, location, and employer.

Is Research Python good for research?

Research Python is a specialized role that involves using Python programming skills to support research activities, such as data analysis, automation, and modeling. Proficiency in Python, along with knowledge of scientific libraries like NumPy or pandas, makes it a valuable skill for research projects. The role often requires strong problem-solving abilities and familiarity with research environments or datasets.

What is a Research Python developer?

A Research Python Developer is a professional who uses the Python programming language to support and conduct research activities. They often work with data analysis, machine learning, simulation, and automation to solve scientific or academic problems. Their role may involve developing prototypes, processing large datasets, and collaborating with researchers to implement algorithms or models. Research Python Developers are commonly found in universities, research institutions, and tech companies focused on innovation.

What is the difference between Research Python vs Data Analyst?

AspectResearch PythonData Analyst
Required SkillsPython programming, research methodologies, data analysisData analysis, visualization, SQL, Excel
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness settings, corporate offices, consulting firms
Common CertificationsPython certifications, research methodology coursesMicrosoft Excel, Tableau, SQL certifications
Industry UsageAcademic research, scientific projects, tech R&DBusiness intelligence, marketing, finance

Research Python focuses on using Python for scientific and academic research, emphasizing programming and research methodologies. Data Analysts primarily analyze and interpret data to support business decisions, often using tools like Excel and Tableau. While both roles require data skills, Research Python is more technical and research-oriented, whereas Data Analysts focus on data interpretation within business contexts.

Which research Python job is in demand?

Research Python roles in demand include data scientist, machine learning engineer, and AI researcher, often requiring strong programming skills, knowledge of libraries like NumPy and TensorFlow, and experience with data analysis. These positions are prevalent in industries such as technology, finance, and healthcare, with a focus on developing algorithms and models for data-driven insights.

What are the key skills and qualifications needed to thrive as a Research Python developer?

To thrive as a Research Python Developer, you need expertise in Python programming, data analysis, and a strong foundation in mathematics or computer science, often supported by an advanced degree. Familiarity with libraries such as NumPy, pandas, TensorFlow, and version control systems like Git is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating research goals into practical code. These skills are essential for developing robust research solutions, collaborating with interdisciplinary teams, and advancing scientific or technical projects.

What are some common challenges faced by Research Python developers when collaborating with cross-functional teams?

Research Python Developers often work alongside data scientists, domain experts, and engineers, which can present challenges such as aligning on project goals, translating research requirements into efficient code, and ensuring reproducibility of results. Effective communication and thorough documentation are key to overcoming these challenges. Additionally, Research Python Developers may need to adapt their code to integrate with different tools or platforms used by other team members, requiring flexibility and a willingness to learn new technical concepts.
What are popular job titles related to Research Python jobs in Long Beach, CA? For Research Python jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Research Python jobs in Long Beach, CA look for? The top searched job categories for Research Python jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Research Python jobs? Cities near Long Beach, CA with the most Research Python job openings:
Research Python jobs near you

Research Intern

Cedars Sinai

Los Angeles, CA • On-site

Internship

Posted 5 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

40th of 1,054 rated hospitals

Job description


Research Intern - Urologic Oncology (Toro Health Pathways Program)
About the Program
Toro Health Pathways (THP) is a nine-month postbaccalaureate internship program created through a collaboration between the Cedars-Sinai Cancer Research Center for Health Equity (CRTEC) and California State University, Dominguez Hills (CSUDH). The program provides recent CSUDH graduates with an immersive, hands-on research experience in cancer and related health sciences, helping prepare participants for graduate education and research careers.
Position Summary
The Research Intern will join a urologic oncology research team focused on advancing the understanding of prostate cancer through epidemiologic and translational research. Working alongside experienced investigators and research professionals, the intern will gain exposure to molecular characterization of prostate cancer, transcriptomic research, biomarker evaluation, scientific literature review, and collaborative cancer research.
This position is designed for individuals interested in cancer biology, translational medicine, epidemiology, and academic research who are seeking meaningful research experience prior to graduate or professional school.
Key Responsibilities
  • Participate in research team orientation and onboarding activities.
  • Collaborate with the research team to understand study objectives, research workflows, and project requirements.
  • Conduct comprehensive literature reviews using systematic search methodologies.
  • Critically evaluate scientific literature related to prostate cancer, molecular subtypes, transcriptomics, and biomarkers.
  • Observe and support research activities involving transcriptomic data analysis and biomarker evaluation.
  • Assist with data organization, interpretation of molecular findings, and research documentation.
  • Attend weekly one-on-one mentorship meetings and research team meetings.
  • Contribute literature updates and research progress during team discussions.
  • Develop and present a scientific research poster at the Toro Health Pathways Poster Session.
Learning Objectives
Throughout the internship, participants will:
  • Gain experience in translational and epidemiologic cancer research.
  • Develop an understanding of molecular profiling approaches in prostate cancer.
  • Learn how molecular findings inform clinical decision-making and treatment strategies.
  • Build skills in research planning, literature review, data interpretation, and scientific communication.
  • Experience multidisciplinary collaboration between laboratory and clinical researchers.
  • Strengthen scientific writing and presentation skills.
  • Build professional networks through mentorship, seminars, and peer engagement.
  • Develop introductory programming skills using R and Python.
Training & Professional Development
Interns will receive structured training in:
  • Systematic literature search methodology
  • Scientific database searching
  • Critical appraisal of oncology literature
  • Prostate cancer molecular biology and transcriptomics
  • Biomarker development and evaluation
  • Cancer epidemiology principles
  • Research data organization and interpretation
  • Scientific writing and communication
  • Research ethics and collaborative research practices

Additional opportunities include:
  • Shadowing research team members during transcriptomic data analysis.
  • Participating in discussions connecting molecular findings with clinical outcomes.
  • Contributing to literature synthesis supporting ongoing research projects.
  • Presenting research findings through a scientific poster.
Internship Timeline
Months 1-2
  • Orientation to the research environment
  • Introduction to ongoing prostate cancer research projects
  • Literature search and critical appraisal training
  • Research planning and team integration

Months 2-7
  • Observation of transcriptomic data analysis
  • Biomarker evaluation activities
  • Guided data organization and interpretation
  • Weekly mentorship and research team meetings

Months 8-9
  • Scientific poster development
  • Presentation preparation
  • Poster presentation at the Toro Health Pathways Poster Session
Systems & Research Tools
Interns will gain experience using:
  • Microsoft 365
  • REDCap
  • Deep6
  • CS-IRB
Ideal Candidate
Successful candidates will demonstrate:
  • Recent bachelor's degree in a health-related or life sciences discipline (program eligibility requirements apply)
  • Interest in cancer research, translational medicine, or epidemiology
  • Strong analytical and critical thinking skills
  • Excellent written and verbal communication abilities
  • Ability to work collaboratively within a multidisciplinary research team
  • Curiosity, attention to detail, and willingness to learn new research methodologies
  • Interest in developing computational skills, including R and Python
What You'll Gain
  • Immersive experience in an academic cancer research environment
  • One-on-one mentorship from experienced cancer researchers
  • Exposure to translational oncology and molecular research
  • Training in research methodologies and scientific communication
  • Professional networking opportunities with researchers and peers
  • Experience presenting research findings in a scientific setting
  • Strong preparation for graduate, medical, or research-focused careers

Qualifications
Required Education & Experience
  • Must be 18 years of age or older.
  • Must have a HS Diploma or GED.
  • Must reside in the greater Los Angeles area or surrounding cities while conducting all activities related to the intern or visitor appointment.
  • INTERNS: Those participating for academic credit must receive academic credit for the duration of the internship.
  • VISITORS: Must be receiving funding from an eligible sponsoring institution (employer, educator, funder, etc.).

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