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Internship Biology Data Science Jobs in Arizona (NOW HIRING)

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Posted today

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... This position is part of a team advancing biologics drug-substance modeling and the digitization of ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

... experience, internship experience and / or schoolwork/classes/research. The preferred ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

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Internship Biology Data Science information

What is an internship in biology data science?

An internship in biology data science is a temporary, hands-on training position that allows students or recent graduates to apply data science techniques to biological research. Interns typically work with large datasets, use programming languages like Python or R, and help analyze data from experiments in areas such as genomics, ecology, or biomedical research. These internships provide valuable experience at the intersection of biology and data analysis, helping participants develop technical and analytical skills relevant to modern biological sciences.

What types of projects do interns in biology data science typically work on, and how do these contribute to their professional development?

Interns in Biology Data Science often work on projects involving the analysis of biological datasets, such as genomics, proteomics, or clinical trial data. These projects usually require collaboration with biologists and data scientists to develop algorithms, visualize results, and interpret findings. By participating in these interdisciplinary teams, interns gain hands-on experience with real-world data, improve their coding and analytical skills, and build a professional network. This exposure not only enhances their technical abilities but also helps them explore various career paths within the intersection of biology and data science.

What are the key skills and qualifications needed to thrive as an internship biology data science, and why are they important?

To excel in a Biology Data Science internship, you need a solid understanding of biological concepts, statistics, and data analysis, typically supported by coursework in biology, bioinformatics, or data science. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of databases like SQL are often required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with teams and convey complex results. These competencies enable interns to analyze biological data accurately and contribute valuable insights to research projects.

What is the difference between Internship Biology Data Science vs Biology Data Analyst?

AspectInternship Biology Data ScienceBiology Data Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in biology, data analysis, or related field; some technical skills
Work EnvironmentInternship setting, research labs, biotech companiesOffice-based, research institutions, healthcare organizations
Employer & Industry UsageResearch projects, biotech startups, academic labsHealthcare, pharmaceuticals, environmental agencies
Search & Comparison IntentUnderstanding entry-level roles combining biology and data scienceAnalyzing biological data for insights and reporting

Internship Biology Data Science roles focus on gaining practical experience in applying data science techniques to biological data, often as a learning opportunity. Biology Data Analysts typically work on analyzing biological datasets to generate insights, often with more experience and technical skills. Both roles are essential in research and industry, but internships are more educational, while analyst roles are more operational.

What are the most commonly searched types of Biology Data Science jobs in Arizona?

The most popular types of Biology Data Science jobs in Arizona are:

Data Scientist, Data & Science Solutions

Caris Life Sciences, Ltd.

Tempe, AZ โ€ข On-site

$85 - $120/hr

Other

Posted yesterday

New


Job description

## Data Scientist, Data & Science SolutionsApplylocations: Tempe, AZ - 85281time type: Full timeposted on: Posted Todayjob requisition id: JR104980**At Caris, we understand that cancer is an ugly wordโ€”a word no one wants to hear, but one that connects us all. Thatโ€™s why weโ€™re not just transforming cancer careโ€”weโ€™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: *โ€œWhat would I do if this patient were my mom?โ€* That question drives everything we do. But our mission doesnโ€™t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcareโ€”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**Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.**Job Responsibilities*** Contribute to analytics and research that support internal stakeholders and external partners.* Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.* Support preparation of analytical results and figures for internal reviews and client-facing discussions.* Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.* Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.* Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.**Required Qualifications** * PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.* Strong programming skills in Python or R, with experience developing reproducible analysis workflows.* Experience with Linux ecosystem, Git, and queries from SQL or related database families.* Experience with molecular genetics data and/or multimodal real-world data (RWD).* Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.* Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.**Preferred Qualifications*** Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.* Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.* Good code documentation practices and experience with workflow management packages.* Experience working in cloud or HPC clusters.**Physical Demands*** Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.* Visual acuity and analytical skill to distinguish fine detail.* Must possess ability to sit and/or stand for long periods of time.**Training*** All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.**Other*** This position may require periodic travel and some evenings, weekends, and/or holidays.**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 managementโ€™s assignment of essential functions. Nothing in this job description restricts managementโ€™s right to assign or reassign duties and responsibilities to this job at any time. #J-18808-Ljbffr