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data analytics intern
data analytics intern-February 2024
Billerica
Feb 10, 2026
About data analytics intern

  data analytics intern.

  billerica , massachusetts

  posted 9 days ago

  job details

  summary

  $30 - $38 per hour

  temporary

  postgraduate degree

  category life, physical, and social science occupations

  referenceAB_4449394

  job details

  Ready to explore, break barriers, and discover more? We know you've got big plans – so do we! Our colleagues across the globe love innovating with science and technology to drive human progress with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimageable with us. This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.

  salary: $30 - $38 per hour

  shift: First

  work hours: 8 AM - 4 PM

  education: Masters

  Responsibilities

  As a Data Science Intern, you will work closely with Operational Design Center and Data Strategy and Digital Innovation teams in executing data strategy and evolving analytic capabilities to assist Clinical Study teams and related stakeholders. You will your problem-solving ability and technical skills to utilize data from multiple internal and external sources to inform data-driven decisions that result in efficient clinical trial execution. During your internship, you will have the opportunity to interact with teams across the organization, wrangle massive datasets, build data pipelines, as well as develop analytics and visualization tools. Potential project areas include: master data management to support study feasibility; evolve, automate and scale existing analytics; develop new analytics and related visualizations.

  Who You Are:

  • Self-motivated individual with a strong interest in data

  • Fluent in SQL, R & Python. Experience with data science adjacent libraries such as Numpy and Pandas is a plus

  • Experience with Tableau, Spotfire or other data visualization tools is a plus

  • Excellent communication and interpersonal skills

  Basic Qualifications:

  Currently pursuing Masters / Ph.D degree in Computer Science, Data Engineering, Data Science, or related area of study

  The essential functions of this role include:

  working in a smoke free environmentSkills

  Data Collection

  Time Management

  Data Entry

  Basic Computer Skills

  SQL (1 year of experience is required)

  Qualifications

  Years of experience: 1 year

  Experience level: Experienced

  Randstad is a world leader in matching great people with great companies. Our experienced agents will listen carefully to your employment needs and then work diligently to match your skills and qualifications to the right job and company. Whether you're looking for temporary, temporary-to-permanent or permanent opportunities, no one works harder for you than Randstad.

  Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

  At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].

  Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

  Applications accepted on ongoing basis until filled.

  get in touch

  we are here to help you with your questions.

  MD

  michelle drager

  +1 800 645 5476 (tel:+1 800 645 5476)

  [email protected]

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