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Data Science Internship Biotech Jobs in Austin, TX

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Crowe LLP

Machine Learning Intern

Austin, TX · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Crowe LLP

Machine Learning Intern

Austin, TX · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

NXP Semiconductors

Data Scientist

Austin, TX · On-site

$101K/yr

Bachelor degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. ...

NXP Semiconductors N.V.

Data Scientist

Austin, TX · On-site

$101K/yr

Bachelor degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. ...

New

NXP Semiconductors N.V.

Data Scientist

Austin, TX · On-site

$101K/yr

Bachelor degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. ...

NXP Semiconductors N.V.

Data Scientist

Austin, TX · On-site

$128K/yr

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

NXP Semiconductors

Data Scientist

Austin, TX · On-site

$128K/yr

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

Pwc

Payer Healthcare Data Scientist, Manager

Austin, TX · On-site

$99K - $232K/yr

... 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 ...

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Data Science Internship Biotech information

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How much do data science internship biotech jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data science internship biotech in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

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 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.

Data Science Internship Biotech jobs near you
Infographic showing various Data Science Internship Biotech job openings in Austin, TX as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $46,398 per year, or $22.3 per hour.

Data Science Engineer

Cypress HCM

Austin, TX • Hybrid

$65 - $69.72/hr

Full-time

Re-posted 22 days ago

Job description


Data Science Engineer
Job Details
  • Data Science Engineer (Contract)
  • Location: Austin TX, 78758 (Hybrid)
  • Duration: 11/17/2025 to 11/13/2026
  • Team: Fraud ADUS
Key Responsibilities:
  • Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
  • Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes.
  • Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.
Required Skills & Qualifications:
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Advanced degrees are a plus.
  • 5 years of experience in data science and machine learning.
  • Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
  • Hands-on experience with AI agents and LLMs - Preferred.
  • Showcase a successful history of leading impactful data science initiatives.
  • Exhibit strong communication and teamwork abilities.
  • This role is not suitable for entry-level candidates or interns.
Compensation:
  • $65.00 to $69.72 per hour.
#36557742
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About Cypress HCM

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We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

Social media

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