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Data Science Internship Biotech Jobs (NOW HIRING)

State Farm

Data Scientist

Dunwoody, GA · Hybrid

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 ...

State Farm

Data Scientist

Richardson, TX · Hybrid

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 ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

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 ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

Launch your data science or technical analyst career by building AI and analytics solutions that ... Experience through internships, personal projects, research, hackathons, student organizations, or ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... As a mid-sized biotechnology company, we provide the stability and resources of a well-established ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ... As a mid-sized biotechnology company, we provide the stability and resources of a well-established ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

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Data Science Internship Biotech information

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$22

$42

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

As of Jul 12, 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.
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Data Science Internship Biotech jobs near you
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.
Applied Data Scientist Internship (DoW SkillBridge)

Applied Data Scientist Internship (DoW SkillBridge)

IntelliGenesis LLC

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Applied Data Scientist Internship (DoW SkillBridge)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DoW SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: https://skillbridge.osd.mil/index.htm
Eligibility Requirements:
  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship

Duration:
  • 90-180 days

Requirements:
  • Must be a U.S. Citizen
  • Active TS/SCI clearance with polygraph required
  • Must be able to report daily to Columbia, MD office
  • Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data
  • Experience within at least two (2) of the following skill areas:
    • Mathematics/Statistics
    • Computer Science
    • Scripting
    • Cloud Computing
    • Data Mining, Metadata Analysis or Machine Learning
    • Artificial Intelligence
    • Data Visualization or Data Automation.
    • Data science
    • Advanced analytical algorithms
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering
  • Experience constructing and performing complex database search queries
  • Experience/knowledge of computer science concepts

Desired Skills:
  • Ideal Candidates would be from one of the following Military Occupational Skill Communities:
    • Air Force - (1N4)
    • Marine - (2611, 2629)
    • Army - (35N, 352N, 17C, 170A)
    • Navy
      • CTR (C18A/9147, C19A/9149)
      • CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A)
  • Experience or familiarity with data analytics and/or the following advanced scripting languages and tools:
    • Python,
    • SQL
    • Jupyter
    • Pig
    • ELK Stack
    • Splunk
    • PowerBI
    • Jupyter Notebooks

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.
Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.
IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.
IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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