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Biotech Data Scientist Internship Jobs (NOW HIRING)

NewLimit

Data Scientist

South San Francisco, CA · On-site

$130K - $170K/yr

About NewLimit NewLimit is a biotechnology company working to radically extend human healthspan. We ... Description NewLimit is seeking a Data Scientist to join our Predict team. In this role, you will ...

NorthEastern

Data Scientist

Portland, ME · On-site

$87.79K - $124K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87.79K - $124K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Sapient

Data Scientist III

San Diego, CA · On-site

$130K - $150K/yr

Data Scientist Sapient is an early-stage fee for service, multi-omic contract research organization ... biotech clients. We are an agile, highly collaborative team of passionate scientists, committed to ...

Grupo Bimbo

Data Scientist

$91.50K - $119K/yr

Master's degree preferred but not required Experience * 4 years of data science or analytics experience (internships, projects, or academic research count) * Demonstrated experience through personal ...

Medpace

AI Data Scientist

Cincinnati, OH · On-site

The AI Data Scientist will support and lead data flow, advanced analytical needs, and AI tools ... biotechnology Founded in 1992, the company is headquartered in Cincinnati, USA, with a team of 5001 ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... including internships working with complex datasets, including curation, querying, aggregation ...

MessageControl

Data Scientist

Chicago, IL

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Bimbo Bakeries USA

Data Scientist

$91.50K - $119K/yr

Master's degree preferred but not required Experience * 4 years of data science or analytics experience (internships, projects, or academic research count) * Demonstrated experience through personal ...

MessageControl

Data Scientist

Chicago, IL · On-site

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

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Biotech Data Scientist Internship information

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$46K

$165K

$243.5K

How much do biotech data scientist internship jobs pay per year?

As of May 28, 2026, the average yearly pay for biotech data scientist internship in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biotech Data Scientist Intern, and why are they important?

To thrive as a Biotech Data Scientist Intern, you need a solid understanding of statistics, biology, and data analysis, often supported by coursework or a degree in bioinformatics, computer science, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of bioinformatics databases and pipelines are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set top candidates apart. These skills and qualities ensure meaningful data insights, accurate research results, and clear collaboration across multidisciplinary teams in the biotech field.

What types of projects and data sets do Biotech Data Scientist Interns typically work with during their internship?

Biotech Data Scientist Interns often work with a variety of biological and clinical data sets, including genomic, proteomic, and experimental data. Projects may involve analyzing large-scale sequencing data, building predictive models for drug discovery, or developing algorithms to interpret laboratory results. Interns usually collaborate closely with bioinformaticians, wet-lab scientists, and software engineers, gaining hands-on experience with data cleaning, visualization, and statistical analysis. This exposure not only sharpens technical skills but also provides valuable insight into real-world biotech research workflows.

What is a Biotech Data Scientist Internship?

A Biotech Data Scientist Internship is a temporary position where students or recent graduates work at the intersection of biotechnology and data science. Interns typically analyze large biological datasets, apply machine learning techniques, and help interpret experimental results to support research and development in biotech companies. This internship provides hands-on experience with bioinformatics tools, data visualization, and statistical analysis. It is designed to help interns develop practical skills, gain industry exposure, and contribute to real-world biotech projects.
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What cities are hiring for Biotech Data Scientist Internship jobs? Cities with the most Biotech Data Scientist Internship job openings:
What states have the most Biotech Data Scientist Internship jobs? States with the most job openings for Biotech Data Scientist Internship jobs include:
What job categories do people searching Biotech Data Scientist Internship jobs look for? The top searched job categories for Biotech Data Scientist Internship jobs are:
Biotech Data Scientist Internship jobs near you
Infographic showing various Biotech Data Scientist Internship job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 5% As Needed, 11% Full Time, and 79% Part Time. Highlights an 13% Physical, and 87% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Data Scientist

Senior Data Scientist

Dawar Consulting, Inc.

South San Francisco, CA

$75 - $78/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago

Job description

Our client, a world leader in biotechnology and life sciences, is looking for a “Senior Data Scientist" based out in South San Francisco, CA.

Job Duration: Long Term Contract (Possibility Of Extension & FT Conversion)
Rate: $75-$78/hr on W2 (DOE)
Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

Job Summary
This role is to support high-impact AI/ML initiatives within a regulated environment and will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes.
The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross-functional teams.

Key Responsibilities
Model Development & Optimization
  • Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance
  • Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions as needed
Feature Engineering & Data Preparation
  • Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs
  • Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability
Production & Pipeline Scalability
  • Transition analytical models and scripts into robust, production-ready pipelines
  • Ensure code quality, documentation, and adherence to engineering and data science best practices
  • Support model deployment, monitoring, and ongoing performance improvements
Cross-Functional Collaboration & Insight Translation
  • Partner with data science, analytics, and business teams to translate business problems into technical solutions
  • Communicate model methodologies, assumptions, and results clearly to non-technical stakeholders

Qualifications
Required
  • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
  • Minimum 5+ years of hands-on experience in data science and machine learning model development
  • Proven track record of taking models from ideation through production deployment
  • Strong proficiency in Python, SQL, and AWS
  • Deep expertise in Machine Learning and/or Deep Learning techniques
  • Experience working with large-scale, complex datasets in collaborative environments
Preferred
  • Experience within healthcare, pharmaceutical, or other highly regulated industries
  • Hands-on experience with claims data or similarly complex, regulated datasets
  • Strong understanding of data privacy, compliance, and governance requirements
  • Experience with MLOps practices, including pipeline automation, deployment, and monitoring

If interested, please send us your updated resume at hr@dawarconsulting.com/lakshmi@dawarconsulting.com .