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Data Science Internship Biotech Jobs in Texas (NOW HIRING)

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering * Master's degree from an accredited college or university in Computer ...

... Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

... Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

... Science, Applied Mathematics, Biotechnology preferred - Prior consulting or advisory firm ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ...

... Science, Statistics, Data Science, Neuroscience, Psychology, or a related field. * Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication)

... Science, Statistics, Data Science, Neuroscience, Psychology, or a related field. * Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication)

... Science, Statistics, Data Science, Neuroscience, Psychology, or a related field. * Laboratory or human subjects research experience (academic lab, thesis project, internship, or publication)

Showing results 21-40

Data Science Internship Biotech information

What are the key skills and qualifications needed to thrive as a data science intern in biotech, and why are they important?

A Data Science Intern in Biotech should have a solid understanding of statistics, data analysis, and programming (especially Python or R), typically supported by coursework in computer science, biology, or related fields. Familiarity with data visualization tools, bioinformatics databases, and platforms like Jupyter Notebook or Tableau is highly beneficial. Strong problem-solving abilities, curiosity, and effective communication help interns translate complex data into actionable insights for interdisciplinary teams. These skills enable interns to contribute meaningfully to biotech research by extracting and communicating value from large, complex biological datasets.

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

AspectData Science Internship BiotechData Analyst
Required CredentialsTypically pursuing or completed a degree in Data Science, Biotechnology, or related fieldsUsually holds a degree in Statistics, Mathematics, or related fields
Work EnvironmentBiotech companies, research labs, pharmaceutical firmsVarious industries including finance, healthcare, marketing
Industry UsageApplied to biotech research, drug development, genomicsApplied to business insights, reporting, and decision-making

While both roles involve data analysis skills, a Data Science Internship in Biotech focuses on applying data science techniques to biotech-specific problems, often requiring knowledge of biology or biotech tools. A Data Analyst generally works across industries, emphasizing data reporting and visualization. The internship provides hands-on experience in biotech settings, whereas a Data Analyst role is broader and industry-agnostic.

What is a data science internship in biotech?

A Data Science Internship in Biotech is a temporary, supervised position where interns apply data science techniques to biological and medical data within a biotechnology company. Interns typically work on real-world projects involving data analysis, machine learning, or bioinformatics to help solve challenges in drug discovery, genomics, or healthcare. The internship provides practical experience, helps interns develop valuable technical and domain-specific skills, and can lead to future job opportunities in the biotech industry.

What types of projects does a data science intern typically work on in biotech?

Data Science Interns in biotech companies often contribute to projects involving the analysis of large-scale biological data, such as genomic sequences or clinical trial results. They might work on building predictive models to assist with drug discovery, automating data processing workflows, or visualizing complex datasets for research teams. Interns regularly collaborate with biologists, chemists, and other data scientists, gaining exposure to interdisciplinary teamwork and the unique challenges of working with sensitive, high-dimensional biomedical data.
What cities in Texas are hiring for Data Science Internship Biotech jobs? Cities in Texas with the most Data Science Internship Biotech job openings:
Infographic showing various Data Science Internship Biotech job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 90% Full Time, 3% Part Time, 4% Contract, 1% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

(FALL) Data Scientist Intern - PhD

IntegraFEC - Internships

Austin, TX • On-site

Internship

Re-posted 16 days ago


Job description

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university's top intellectual talent.
As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:
  • Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry
  • Opportunities to work on team-based and individual projects
  • Visibility to industry experts

Job Qualifications:
  • Familiarity with R, SQL, Python, or other scripting languages
  • Proficiency in Microsoft Excel
  • Attention to detail with big-picture understanding
  • Ability to work well in teams
  • Highest ethical standards
  • Must be enrolled in a PhD program

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.