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Python Data Analysis Internship Jobs in Lawrence, MA

... in Python or R . * Technical Knowledge: Solid understanding of statistical analysis and ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

... in Python or R . * Technical Knowledge: Solid understanding of statistical analysis and ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

... in Python or R . * Technical Knowledge: Solid understanding of statistical analysis and ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

Data Analysis and Modeling: Design and implement advanced statistical models, machine learning ... Python, R, Stata, SQL -Frameworks: Apache Spark, Apache Airflow -Cloud services: AWS (Lambda, EC2 ...

Data Platform Analyst

Boston, MA · Hybrid

$155K - $170K/yr

Strong data analysis skills using python and SQL; ability to work with large datasets * Proven experience supporting or leading security master platform conversions/migrations * Working knowledge of ...

Strong data analysis skills using python and SQL; ability to work with large datasets * Proven experience supporting or leading security master platform conversions/migrations * Working knowledge of ...

Strong data analysis skills using python and SQL; ability to work with large datasets * Proven experience supporting or leading security master platform conversions/migrations * Working knowledge of ...

Experience building data analysis pipelines using standard tools (e.g., Python, C++), including implementing software to identify key metrics for various data sets * Experience designing and ...

Data Scientist

Lexington, MA · Hybrid

$75 - $100/hr

Must Have Data/Reporting Data Analysis 5 years R, Python, SQL, and Machine Language Algorithms and Data Analysis. 5 years Degree Level Bachelor's Degree Yes Experience Currently holds a Secret ...

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Python Data Analysis Internship information

See Lawrence, MA salary details

$12

$23

$44

How much do python data analysis internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python data analysis internship in Lawrence, MA is $23.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $25.72 per hour, depending on experience, location, and employer.

What is a Python data analysis internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python data analysis intern?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What types of projects and tasks can I expect to work on during a Python data analysis internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What job categories do people searching Python Data Analysis Internship jobs in Lawrence, MA look for?

The top searched job categories for Python Data Analysis Internship jobs in Lawrence, MA are:

Infographic showing various Python Data Analysis Internship job openings in Lawrence, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $49,109 per year, or $23.6 per hour.

Associate Director in Data Science, Digital Endpoints Pharma R & D (Billerica MA)

Merck KgaA

Billerica, MA • On-site

$131K - $249K/yr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

Work Location: Billerica, Massachusetts
Shift: No
Department: HC-RD-BSD Advanced Data Sciences
Recruiter: Rena Ann Peterson
This information is for internals only. Please do not share outside of the organization.
Your Role:
In this pivotal role, you will build and establish scientific excellence in the development of digital biomarkers and endpoints within the Advanced Data Science team in the Data Sciences organization. You will lead the identification, development, and deployment of novel digital endpoints and outcome measures across clinical trials and life cycle management programs. Collaborating closely with the Integrated Health & Medicines organization, you will spearhead the design and validation of machine learning-driven algorithms and data processing pipelines that extract clinically relevant insights from high-volume digital health data sources, such as wearables, sensors and apps, mobile devices, and patient-facing applications.
You will develop and implement advanced machine learning and data science methods to process multimodal time-series data generated by digital devices, ensuring scientific rigor, clinical validity, and regulatory readiness. As a subject matter expert, you will embed digital health technologies within evidence generation strategies, driving their acceptance in clinical trials and practice.
You will also contribute to key regulatory filings and publications, advocating for the adoption of digital endpoints within the global R&D community. Staying at the forefront of emerging trends, you will explore and integrate emerging AI paradigms, including large language models (LLMs) and agentic AI systems, to support data interpretation, workflow automation, and digital health analytics. Your leadership will champion transformation efforts that unlock the full potential of Digital Health Technologies.
Who you are:
Minimum Qualifications:
  • You hold a PhD in a quantitative discipline (e.g., data science, computer science, biomedical engineering, statistics, physics, or related field) with a focus on large-scale data analysis.
  • You have a minimum of 7 years of relevant experience in the pharmaceutical, digital endpoints, AI/ML or related industry.
  • You possess a proven track record in designing and validating digital endpoints or biomarkers for clinical applications.
  • You have hands-on experience processing and analyzing large-scale data streams from digital health technologies, including wearables, sensors, smartphones, or connected medical devices. You have experience in building machine learning pipelines for time-series and multimodal sensor data, including feature extraction, signal processing, and model development.
  • You have strong expertise in digital biomarker/endpoint development, including psychometric and statistical validation and regulatory aspects.
  • You have solid understanding of modern machine learning and AI methods (e.g., deep learning, representation learning, time-series modeling) as applied to digital health and behavioral data.
  • You have experience with scalable data processing and ML frameworks (e.g., Python data ecosystem, distributed data processing, or cloud/HPC environments).

  • You have familiarity with generative AI and large language models, and an interest in emerging paradigms such as agentic LLM systems or AI-assisted scientific workflows.

Preferred Qualifications:
  • You possess excellent stakeholder management skills and can navigate matrixed organizations effectively.
  • You have strong communication and scientific writing skills, enabling you to translate complex technical content for diverse audiences.

Location: On-site Billerica MA
Pay Range for this position: $131,300 - $249,100
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.