data scientist intern

Tri-Valley Career Center

<div>
 We are looking for a hands-on
 
 Data Scientist Intern
 
 to join our team in Irvine, CA. You will be involved in the development of data science models for the clinical diagnostic business. Your duties will include understanding the business need, developing a data science solution, and writing production-ready code.
 
 
 
 Location:
 
 This position must be based in
 
 Irvine, California
 
 and requires the employee to be located within commuting distance of the office.
 
 
 
 How You'll Make An Impact
 
 
 
 <ul>
 <li>
 Participate in team meetings to stay updated on project progress and align with team goals.
 </li>
 <li>
 Understand business requirements and convert them into effective data science solutions.
 </li>
 <li>
 Collaborate with senior data scientists to understand the full data science life cycle from data collection and preprocessing to model development and deployment.
 </li>
 <li>
 Maintain coding standards.
 </li>
 <li>
 Assist team members with various tasks, contributing to the overall success of the projects.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree at an accredited university, in Mathematics, Computer Science, Data Science, Statistics, or equivalent field. Eligible candidates must be rising juniors, seniors, or graduate students who intend to return to their academic program the following academic year.
 </li>
 <li>
 A minimum cumulative GPA of 3.0 on a 4.0 scare is required.
 </li>
 <li>
 Knowledge of Data Science, Machine Learning, and Artificial Intelligence.
 </li>
 <li>
 Experience in Python.
 </li>
 <li>
 Experience with databases and SQL.
 </li>
 <li>
 Cloud experience preferred.
 </li>
 <li>
 Prior internship experience preferred.
 
 
 </li>
 </ul>
 
 Total Rewards Package:
 
 At Bio-Rad, we&rsquo;re empowered by our purpose and recognize that our employees are as well. That&rsquo;s why we offer a competitive and comprehensive Total Rewards Program that provides value, quality, and inclusivity while satisfying the diverse needs of our evolving workforce. Bio-Rad's robust offerings serve to enrich the overall health, wealth, and wellbeing of our employees and their families through the various stages of an employee&rsquo;s work and life cycle.
 
 
 
 Benefits:
 
 We&rsquo;re proud to offer a variety of options, including competitive medical plans for you and your family, free HSA funds, a new fertility offering with stipend, group life and disability, paid parental leave, 401k plus profit sharing, an employee stock purchase program, a new upgraded and streamlined mental health platform, extensive learning and development opportunities, education benefits, student debt relief program, pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG&rsquo;s), and more!
 
 
 
 Compensation:
 
 The estimated hourly rate for this position is $25.00 at the time of posting. Actual compensation will be provided in writing at the time of offer, if applicable, and is based on several factors we believe fairly and accurately impact compensation, including geographic location, experience, knowledge, skills, abilities, and other job permitted factors. This position is eligible for a variable annual bonus, which is dependent upon achievement of your individual objectives and Company performance.
 
 
 
 Who We Are:
 
 For 70 years, Bio-Rad has focused on advancing the discovery process and transforming the fields of science and healthcare. As one of the top five life science companies, we are a global leader in developing, manufacturing, and marketing a broad range of high-quality research and clinical diagnostic products. We help people everywhere live longer, healthier lives. Bio-Rad offers a unique employee experience with collaborative teams that span the globe. Here, you are supported by leadership to build your career and are empowered to drive change that makes an impact you can see.
 
 
 
 EEO Statement:
 
 Bio-Rad is an Equal Employment Opportunity/Affirmative Action employer, and we welcome candidates of all backgrounds. Veterans, people with physical or mental disabilities, and people of all race, color, sex, sexual orientation, gender identity, religion, national origin and citizenship status are encouraged to apply.
 
 
 
 Agency Non-Solicitation:
 
 Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes.
 
 
 
 Fraud Alert
 
 
 :
 
 Bio-Rad has received reports of individuals posing as Bio-Rad recruiters to obtain information, including personal and financial, from applicants. Beware of these fake "recruiters" and job scams. Click here for more information on this scam and how to avoid it.
 
 
 Legal Entity: (USA_1000)Bio-Rad Laboratories, Inc.
 
 
</div>

Data Scientist Intern

Ribbon Communications

<div></div><div><div>Position Summary:</div><div>
If you are motivated by elegantly solving hard problems, working on the latest technologies and seeing your contributions make a difference then join Ribbon Research Labs (RRL)! The main focus is building innovative network applications with an emphasis on analytics, AI/ML and automation.</div><div>
The internship program provides a unique opportunity for students to develop descriptive, predictive and prescriptive applications resolving network problems and business opportunities utilizing real-world data sets from a number of technologies (e.g. LTE/5G mobile, IP transport networks, voice &amp; video systems). The ideal candidate will have data science coursework and/or equivalent experience as well as basic understanding of networking.</div><div>
Essential Responsibilities:</div><ul><li>Transform ideas into data-driven solutions by working through all phases of software development or model lifecycle</li><li>Evaluate application requirements to explore, evaluate, recommend, and implement analytical and ML models utilizing latest tools</li><li>Build, demonstrate, and potentially deploy concept implementations leveraging customer data sets, open-source technologies, optimized hardware and Ribbon ecosystem</li></ul><div></div><div>
Experience and Skills:</div><ul><li>Studying in Computer Science, Data Science, or related. Course work in networking a plus</li><li>Experience working through all data phases such as exploration, preparation, engineering, modeling, and closed-loop automation</li><li>Experience training, testing and deploying AI/ML algorithms using Python</li><li>Exposure to xNN architectures, NLP/generative AI concepts, and agentic app development</li><li>Ability to develop, debug and deliver applications in Python</li><li>Strong understanding of databases (schemas, SQL, structured and semi-structured)</li><li>Hands on experience in Linux environments as power user; Cloud technologies, docker/Kubernetes a plus</li><li>Ability to independently decompose larger problems and progressively work a solution to completion</li><li>Ability to quickly pickup new tools and technologies to assist in rapid prototypes and solutions</li><li>Exercises judgment in selecting methods, techniques, and evaluation criteria for obtaining results</li><li>Very strong ability to grasp and apply new information quickly</li><li>Self-motivated to work problems to logical conclusions</li><li>Excellent oral and written communication skills</li></ul><div></div>
The anticipated base pay range for this full-time position in all geographic locations is $ - $ annually. Actual compensation within the range will be determined based on a variety of factors, including, but not limited to the candidate&rsquo;s experience, skills and education. The compensation package also includes eligibility for an incentive plan and comprehensive benefits, subject to applicable requirements.<div></div><div> 
Please Note:</div><div>
'All qualified applicants will receive consideration for employment without regard to race, age, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, on the basis of disability, or other characteristic protected by applicable law.'</div><div></div><div>
US Citizens and all other parties authorized to work in the US are encouraged to apply.</div></div>

Data Scientist - Intern

GoodRx

<div>
 GoodRx is America&rsquo;s healthcare marketplace. Each month, millions of people visit goodrx.com to find reliable health information and discounts for their healthcare &mdash; and we&rsquo;ve helped people save $60 billion since 2011. We provide prescription discounts that are accepted at more than 70,000 pharmacies in the U.S., as well as telehealth services including doctor visits and lab tests. Our services have been positively reviewed by Good Morning America, The New York Times, NBC News, AARP, and many others.
 
 
 Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with business owners and stakeholders to formulate hypotheses and help drive smarter decisions to deliver even better products and experiences.
 </li>
 <li>
 Design models, metrics, reports, and dashboards that help stakeholders better understand the user journey, monitor business health, and access data.
 </li>
 <li>
 Collaborate across multiple teams to understand business needs, analyze complex data, and clearly communicate recommendations
 </li>
 <li>
 Develop requirements, processes, and documentation for reporting on data-related projects
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Currently pursuing an undergraduate or graduate degree with technical exposure to data analysis with plans to return after completing this program.
 </li>
 <li>
 Working knowledge of SQL and Python
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Related coursework in healthcare and/or prior internship experience
 </li>
 <li>
 Working knowledge of common analytics tasks like cohort analysis, churn/lifetime value, and A/B testing
 </li>
 <li>
 Prior experience building data science/machine learning models in AWS Sagemaker, Databricks, or equivalent platform
 </li>
 <li>
 Prior experience using a business intelligence tool like Tableau or Looker and database technologies like Redshift and/or Athena/S3
 
 
 </li>
 </ul>
 We&rsquo;re committed to growing and empowering a more inclusive community within our company and industry. That&rsquo;s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel.
 
 
 With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, and Veterans to apply for positions even if they don&rsquo;t necessarily check every box outlined in the job description. Please still get in touch - we&rsquo;d love to connect and see if you could be good for the role!
 
 
 GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a telehealth marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $60 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com.
 
 
 We prioritize candidate safety. Please be aware that all official communication will only be sent from
 
 @
 
 
 goodrx.com
 
 or
 
 goodrx@myworkday.com
 
 addresses.
</div>

Uber

<div>We are looking for current students to join Uber as Scientist Interns for 12 weeks in Summer 2026. As an intern, you will be embedded in a product team working on solving real-world Uber problems under the supervision of an analyst on that team, and will have the opportunity to partner closely with Scientists, Software Engineers, Product Managers, and other cross functional partners.
 
 
About the Role
 
 
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked? If so, Uber is for you. In our Sciences division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
 
 
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
 
 
About the Team
 
 
The Driver Pricing team is looking for talented data scientists to help us tackle some of the most challenging and interesting problems at Uber. In this role, you will apply your quantitative skills in machine learning, statistics, and economics to improve the Uber user experience and the overall marketplace performance. You'll be a key contributor to the team that designs, evaluates, and builds our systems for pricing trips for drivers.
 
 
What You'll Do
<ul><li>Work with a mentor closely to define a business problem, scope a project, develop, and prototype the solution using data-driven approaches
</li><li>Work with engineers and product managers to turn prototypes into scalable solutions
</li><li>Present findings to leaders to inform decisions
</li><li>Establish standard methodologies for science such as modeling, coding, analytics, optimization, and experimentation
</li><li>Conduct experiments to drive business decisions
</li></ul>Basic Qualifications
<ul><li>Pursuing a Ph.D. majoring in Economics, Operations Research, Mathematics, Computer Science, Statistics, Machine Learning, or other related quantitative fields. Candidates should have at least one semester/quarter left of their education after finishing the internship
</li><li>Strong problem solving and analytical abilities
</li></ul>Preferred Qualifications
<ul><li>Coding proficiency in areas such as R, Spark, SQL, Python and AB Testing
</li><li>Background in data visualization via open-source libraries/packages or third-party tools (i.e. Tableau, Mixpanel, Looker, or similar)
</li><li>Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, stochastic processes, economics, and analytics
</li><li>Experience in the following areas: Exploratory Data Analysis, Statistical Analysis, Model Development, Operations Management, Revenue Management and Pricing, Advertising, Experimental Design, Assortment Planning, Transportation
</li><li>Organized, detail oriented and able to work independently on multiple projects at once
</li><li>Ability to communicate effectively with both technical and business partners
</li><li>Open to feedback, excellent at implementing newly learned ideas and concepts
</li><li>Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation
</li>Independence, self-starter mindset, excellent communication, and outstanding follow-through - you energetically tackle your work and love the responsibility of being individually empowered 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour. For all US locations, you will also be eligible for various benefits.</div>

2026 PhD Scientist Intern (Driver Pricing), US

Johnson & Johnson Innovative Medicine

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
 
 
 As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
 
 
 
 Job Function
 
 
 
 Career Programs
 
 
 
 Job Sub Function
 
 
 
 Non-LDP Intern/Co-Op
 
 
 
 Job Category
 
 
 
 Career Program
 
 
 
 All Job Posting Locations:
 
 
 
 Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
 
 
 
 Job Description
 
 
 
 
 About Innovative Medicine
 
 
 
 Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
 
 
 Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
 
 
 <ul>
 <li>
 The Data Science Intern term is from May to August, 2026.
 </li>
 <li>
 Full time requirement (40 hours per week).
 
 
 </li>
 </ul>
 
 Purpose
 
 
 
 We are seeking a
 
 highly motivated and innovative Data Science Intern
 
 to support research and development initiatives focused on
 
 foundation models for biologics manufacturing
 
 . This internship offers a unique opportunity to work closely with our
 
 AI/ML and DPDS teams
 
 to develop novel modeling approaches, evaluate benchmarks, and translate advanced analytics into real world impact.
 
 
 By contributing to next generation AI/ML methodologies, this role will help improve
 
 drug manufacturing robustness, process understanding, and supply chain decision making
 
 .
 
 
 
 You will be responsible
 
 
 
 <ul>
 <li>
 Collaborate with AI/ML scientists and domain experts to develop and evaluate foundation models for biologics manufacturing data.
 </li>
 <li>
 Translate manufacturing and supply chain use cases into modeling objectives, benchmarks, and evaluation strategies.
 </li>
 <li>
 Analyze large scale, high dimensional process and analytical datasets to uncover patterns and insights.
 </li>
 <li>
 Present analytical findings and model outcomes to cross functional stakeholders, clearly connecting results to project goals.
 </li>
 <li>
 Contribute to technical reports, white papers, and publications targeting high impact conferences and/or journals.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Completion of Undergraduate Freshman year at an accredited University is required.
 </li>
 <li>
 Currently pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Chemical Engineering, or a related field.
 </li>
 <li>
 Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.
 </li>
 <li>
 Strong hands on experience in AI/ML research, including representation learning, deep learning, or foundation models.
 </li>
 <li>
 Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit learn).
 </li>
 <li>
 Familiarity with large scale, noisy, or time series data; experience with manufacturing, biological, or multimodal data is a plus.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to collaborate effectively in cross functional research teams
 
 
 </li>
 </ul>
 Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
 
 
 The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension).
 
 
 For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. This job posting is anticipated to close on [03/25/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
 
 
 Ineligibility for severance.
 
 
 Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
 
 
 Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.
 
 
 
 Required Skills
 
 
 
 
 Preferred Skills:
 
 
 
 
 The anticipated base pay range for this position is :
 
 
 
 $23.00/hr to $51.50/hr
 
 
 
 Additional Description For Pay Transparency
 
 
 
 The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on [7/31/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
 
 
</div>

Data Science Intern

Johnson & Johnson

<div>At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Career Programs
Job Sub Function:
Non-LDP Intern/Co-Op
Job Category:
Career Program
All Job Posting Locations:
Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
Job Description:<h3 class="jobSectionHeader">
About Innovative Medicine
</h3>Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine
<ul><li>The Data Science Intern term is from May to August, 2026.</li><li>
Full time requirement (40 hours per week).</li></ul><h3 class="jobSectionHeader">
Purpose:</h3>
We are seeking a highly motivated and innovative Data Science Intern to support research and development initiatives focused on foundation models for biologics manufacturing. This internship offers a unique opportunity to work closely with our AI/ML and DPDS teams to develop novel modeling approaches, evaluate benchmarks, and translate advanced analytics into real world impact.
By contributing to next generation AI/ML methodologies, this role will help improve drug manufacturing robustness, process understanding, and supply chain decision making.<h3 class="jobSectionHeader">
You will be responsible</h3><ul><li>
Collaborate with AI/ML scientists and domain experts to develop and evaluate foundation models for biologics manufacturing data.</li><li>
Translate manufacturing and supply chain use cases into modeling objectives, benchmarks, and evaluation strategies.</li><li>
Analyze large scale, high dimensional process and analytical datasets to uncover patterns and insights.</li><li>
Present analytical findings and model outcomes to cross functional stakeholders, clearly connecting results to project goals.</li><li>
Contribute to technical reports, white papers, and publications targeting high impact conferences and/or journals.</li></ul><h3 class="jobSectionHeader">
Requirements:</h3><ul><li>
Completion of Undergraduate Freshman year at an accredited University is required.</li><li>
Currently pursuing a Ph.D. in Computer Science, Statistics, Applied Mathematics, Computational Biology, Chemical Engineering, or a related field.</li><li>
Have a cumulative GPA of 2.8 or higher, which is reflective of all college coursework.</li><li>
Strong hands on experience in AI/ML research, including representation learning, deep learning, or foundation models.</li><li>
Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, JAX, scikit learn).</li><li>
Familiarity with large scale, noisy, or time series data; experience with manufacturing, biological, or multimodal data is a plus.</li><li>
Strong written and verbal communication skills, with the ability to collaborate effectively in cross functional research teams</li></ul>
Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension).
For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. This job posting is anticipated to close on [03/25/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.
Ineligibility for severance.
Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson &amp; Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.<h3 class="jobSectionHeader">
#LI-Hybrid</h3>
Required Skills:
Preferred Skills:
The anticipated base pay range for this position is :
$23.00/hr to $51.50/hr
Additional Description for Pay Transparency:
The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on [7/31/2026]. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.</div>

Search 10000+ Data scientist intern jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 data scientist intern jobs Near Me

Data Scientist Intern

Data Scientist - Intern

Data Scientist Intern

2026 PhD Scientist Intern (Driver Pricing), US

2026 PhD Scientist Intern (Driver Pricing), US

Data Science Intern

Data Science Intern