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Full Time Data Science Rotational Program Jobs in Boston, MA

Schedule & Location This position is an exempt, full-time office-based position working 5 days each ... Advanced coursework in economics, investments, accounting, finance, data science, quantitative ...

The Role This is an individual contributor data science role. In this role, the individual leads ... program, and educational assistance including student loan repayment, tuition reimbursement, and ...

We are seeking an experienced Data Science leader to advance data-driven drug discovery and ... Contribute to translational programs across disease areas and communicate modelling insights to ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

... develop programs past clinical proof of concept and beyond, ultimately helping to bring new ... About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ...

The Crown Is Yours As a Data Science Manager, you drive strategy and execution to power ... The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus ...

Data Scientist

Boston, MA · On-site

$120K/yr

Contribute to end-to-end data science projects that improve product performance, customer ... tuition reimbursement programs. " Lutron Electronics' position as the worldwide leader in ...

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Showing results 1-20

Full Time Data Science Rotational Program information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do full time data science rotational program jobs pay per year?

As of Jun 25, 2026, the average yearly pay for full time data science rotational program in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What can participants expect in terms of team collaboration and mentorship during a Full Time Data Science Rotational Program?

Participants in a Full Time Data Science Rotational Program typically work on diverse teams across multiple business units, allowing them to collaborate with data scientists, analysts, engineers, and business stakeholders. Each rotation usually includes dedicated mentorship from experienced professionals, who guide project work and career development. This structure provides a supportive environment for learning new tools and methodologies while building a broad professional network. Regular feedback sessions and cross-functional projects are common, giving participants a holistic view of how data science drives business decisions.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to develop and oversee AI systems, requiring skills in programming, statistics, and domain knowledge. The role evolves rather than disappears, emphasizing the importance of continuous learning and adaptation in the field.

Is 40 too late for data science?

Full Time Data Science Rotational Programs often accept candidates of various ages, and starting a career in data science at 40 is possible. Success depends on relevant skills such as programming, statistics, and experience with tools like Python or R, rather than age alone.

Is 30 too late for data science?

The Full Time Data Science Rotational Program is open to candidates of various ages, and starting a career in data science at 30 is common. Success depends on skills, relevant experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What are the key skills and qualifications needed to thrive in a Full Time Data Science Rotational Program, and why are they important?

To succeed in a Full Time Data Science Rotational Program, you typically need a strong background in statistics, programming (such as Python or R), and data analysis, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and experience using databases (SQL) are commonly required. Excellent problem-solving, adaptability, and strong communication skills help you collaborate across diverse teams and effectively present insights. These skills are critical because the rotational structure demands quick learning, versatility, and the ability to deliver impactful data-driven solutions in different business contexts.

Are rotational programs full-time jobs?

Yes, rotational programs, including full-time data science rotational programs, are typically considered full-time employment opportunities. Participants usually work standard hours, receive benefits, and are employed under a formal contract similar to other full-time roles. These programs often provide training and exposure to different areas within a company over a set period.

What is the difference between Full Time Data Science Rotational Program vs Data Analyst?

AspectFull Time Data Science Rotational ProgramData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Business, Economics, or related fields
Work EnvironmentRotational assignments across teams, focus on data science projectsFocused on data interpretation, reporting, and visualization
Employer & Industry UsageCommon in tech, consulting, finance; designed for early-career developmentWidely used across industries for data-driven decision making

The Full Time Data Science Rotational Program offers a structured, multi-team experience for early-career professionals aiming to develop broad data science skills. In contrast, Data Analysts typically focus on analyzing and visualizing data within a specific domain. Both roles require strong analytical skills, but the rotational program emphasizes diverse project exposure and skill-building, making it ideal for those seeking a comprehensive entry into data science careers.

What is a Full Time Data Science Rotational Program?

A Full Time Data Science Rotational Program is a structured, entry-level career development initiative offered by many companies, designed to give recent graduates or early-career professionals broad exposure to different areas within data science. Participants rotate through several departments or teams, working on various data-driven projects, such as machine learning, analytics, data engineering, and business intelligence. These programs typically last 1-2 years and provide hands-on training, mentorship, and networking opportunities. The goal is to help participants develop a diverse skill set and identify their preferred area of specialization within data science. Upon completion, individuals are often placed into permanent data science roles within the organization.
What are popular job titles related to Full Time Data Science Rotational Program jobs in Boston, MA? For Full Time Data Science Rotational Program jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Full Time Data Science Rotational Program jobs in Boston, MA look for? The top searched job categories for Full Time Data Science Rotational Program jobs in Boston, MA are:

Associate, Rotational Program

Trinity Life Sciences

Waltham, MA • On-site

Full-time

Posted 15 days ago


Job description

We're committed to bringing passion and customer focus to the business.
Candidates must be available to start on August 17, 2026 to be considered for this position.
We are hiring for this position in Trinity's Waltham, MA & San Francisco, CA office.
We are seeking hard-working, committed and intellectually curious individuals who are passionate about the life sciences. At Trinity, Associate Consultants are an integral part of project teams comprised of staff, management, and leadership team members. Associate Consultants will have exposure to a wide variety of strategic business issues, as well as the opportunity to gain in-depth knowledge of the life sciences industry, ranging from small biotech's to large pharma.
Associate Consultants develop their skills through extensive formal and informal training, as well as receiving mentorship that encourages them to stretch their analytical, leadership, teamwork, and communication skills.
This is a two-year program that rotates through different practice areas within Trinity's Advisory teams. This program is designed to build future leaders and accelerate their careers by gaining exposure and knowledge to Trinity's offerings. Upon completion of the two-year program, graduates assume positions that best align with the business need, and their interests. Practice areas that our Associate Consultants could rotate through include, but are not limited to, are:
  • Evidence, Value, Access & Pricing (EVAP)
  • Strategic Advisory (SA)
  • Primary Market Research (PMR)
  • Centers of Excellence (COE)

Position Responsibilities
  • Conduct secondary research using healthcare databases (i.e. EvaluatePharma, RedBook, Cortellis, etc.) to inform analyses on drug pricing, clinical pipelines, marketplace dynamics, etc.
  • Design, develop and utilize analytic tools (e.g., forecast models) to support key client decision-making
  • Coordinate and conduct primary market research with physicians, patients, payers and other key healthcare stakeholders
  • Interpret, analyze, and synthesize clinical, scientific, and business data and research, and present findings to project teams and clients
  • Develop presentations and other outputs in collaboration with project teams for client deliverables
  • Ability to thrive in a rotational environment, adapting to a variety of project types and evolving team dynamics

Position Requirements
  • Bachelor's degree
  • Interest in the Pharmaceutical industry preferred
  • Applicants for this position must be legally authorized to work in the United States without the need for employer sponsorship. Trinity is unable to consider candidates requiring sponsorship for visas, including but not limited to TN, H1-B, F-1, and STEM OPT.

Work Experience: 0-2 years of experience in consulting, or other relevant areas within the life sciences industry.
Other Skills:
  • Desire and ability to work in a dynamic, fast-paced environment
  • Enthusiasm for working collaboratively across teams
  • Ability to work on multiple projects concurrently
  • Demonstrated interest in developing quantitative and analytical skills
  • Excellent communication (written and verbal) and interpersonal skills
  • Familiarity with Excel and PowerPoint
  • Ability to learn quickly on the job

About Us
Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey-from pre-launch to scale to loss of exclusivity. For more than 30 years, the world's leading pharmaceutical, biotech, and medtech companies have relied on Trinity's foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.
Trinity's Commitment to Inclusion & Engagement (I&E)
Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We've evolved from a traditional "DEI" framework to Inclusion & Engagement (I&E)-a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives-they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity's commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences.