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Data Science Internship Biotech Jobs (NOW HIRING)

Data Science Engineer

Austin, TX ยท 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 ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

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 ...

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 ...

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 ...

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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 Jul 11, 2026, the average hourly pay for data science internship biotech in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 do Data Science Interns typically work on in biotech companies?

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.
More about Data Science Internship Biotech jobs
What cities are hiring for Data Science Internship Biotech jobs? Cities with the most Data Science Internship Biotech job openings:
What states have the most Data Science Internship Biotech jobs? States with the most job openings for Data Science Internship Biotech jobs include:
Infographic showing various Data Science Internship Biotech job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 1% Part Time, 1% Temporary, 5% Contract, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Investment Data Science Intern (Summer 2027)

Walleye Capital Internships

New York, NY โ€ข On-site

$14K/mo

Temporary, Internship

Re-posted 11 days ago


Job description

Position: Investment Data Science Intern (Summer 2027)
Location: New York, NY
Firm Overview:
Walleye Capital is a ~$16 billion+ multi-strategy investment firm headquartered in New York City, with over 350 employees across five main offices. Founded in 2005 as an options market maker, we have organically grown into a global investment firm specializing in Fundamental Equities, Quant, and Volatility strategies.
At Walleye, we continuously innovate by focusing on three core principles: approach, platform, and people. Our approach is to allocate risk capital where we believe there is not only a compelling opportunity, but also a clear ability to define our tangible edge. We seek to leverage the mathematical benefits of diversification while utilizing sophisticated infrastructure, technology, and our balance sheet to do so in a structurally advantageous way. Our platform, developed over two decades, is central to our operations, evolving alongside business complexities and technological advancements to support our team's success. Our people are our greatest asset, and we've cultivated an environment that attracts top talent by balancing autonomy with collaboration, and intelligence with integrity.
Position Overview:
Walleye Capital is seeking Investment Data Science Interns for Summer 2027. As an intern, you'll engage in high-impact projects focused on alternative data research supporting long/short discretionary investment strategies. Your work may include developing thematic investment theses, exploring new datasets, or conducting stock-specific analyses. You'll have the opportunity to collaborate with senior professionals, gain hands-on experience with real-world hedge fund data, and enhance your analytical and statistical skills.
The internship is 10 weeks in length and will take place in New York City from June to August 2027.
Responsibilities:
  • Partner with the Central Data Science team on research initiatives, supporting both scalable production insight pipelines and ad hoc analytics to inform investment decisions.
  • Collaborate with discretionary equity L/S portfolio managers and analysts to understand their investment theses and identify areas where alternative or fundamental data can augment conviction; develop and prototype predictive models or analytics tools that help surface patterns across sectors, tickers, or themes.
  • Conduct exploratory data analysis (EDA), signal validation, and performance attribution studies using historical and real-time data sets.
  • Assist in the evaluation and onboarding of new data vendors by performing quantitative and qualitative assessments of potential alpha signals.
  • Learn and implement core data science and data engineering workflows on the firm's Cloud and Linux infrastructure.
  • Clean, transform, and join large structured and unstructured datasets from internal and external sources; maintain reproducibility and robustness through version-controlled code, documentation, and adherence to the team's development standards; utilize AI to enhance processes and analyses.

We seek individuals who:
  • Are pursuing an undergraduate or non-MBA master's degree in a STEM-related field, with an expected graduation date between December 2027 and June 2028.
  • Demonstrate strong quantitative and analytical skills, with a solid foundation in programming, statistics, and problem-solving capabilities.
  • Are self-motivated, adaptable, and detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
  • Showcase creativity and enthusiasm for leveraging AI tools to enhance productivity and improve processes and workflows.
  • Thrive in a collaborative culture that values intellectual humility, creativity, and continuous learning.

Pay Range:
The expected monthly pay for this position is $14,000/month. Interns will also receive a $10,000 housing stipend and transportation to and from New York City (domestic travel only).
The deadline to apply for this opportunity is Friday, July 31 at 11:59pm ET. For questions about the process, please review our Campus FAQs.
Walleye is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
If you require a reasonable accommodation to participate in any part of our hiring process, please contact HR@walleyecapital.com.
Personal data you provide will be processed in accordance with Walleye Capital LLC's Privacy Notice available at: https://www.walleyecapital.com/.