1

Data Science Intern Jobs in Allston, MA (NOW HIRING)

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

... our Data Science team. The Scientist will be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with ...

Scientist II, Data Science

Boston, MA · On-site

$146K - $165K/yr

... our Data Science team. The Scientistwill be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with ...

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting an Associate Director (Associate Principal Scientist) to join our data science team. We are ...

Lead Data Scientist

Boston, MA · On-site

$152 - $217/hr

The Enterprise Data Science team sits at the center of the company, partnering with business leaders to deliver solutions that create durable competitive advantage. We are seeking a highly motivated ...

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

DATA SCIENTIST

Natick, MA · On-site

$49K/yr

As a Palace Acquire Intern you will experience both personal and professional growth while dealing ... Mathematics, statistics, computer science, data science or field directly related to the position.

Title: Head of Applied AI & Data Science Company: Ipsen Bioscience, Inc. About Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three ...

Showing results 41-60

Data Science Intern information

See Allston, MA salary details

$13

$24

$45

How much do data science intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data science intern in Allston, MA is $24.56, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $26.73 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Allston, MA?

The most popular types of Data Science jobs in Allston, MA are:

What job categories do people searching Data Science Intern jobs in Allston, MA look for?

The top searched job categories for Data Science Intern jobs in Allston, MA are:

What cities near Allston, MA are hiring for Data Science Intern jobs?

Cities near Allston, MA with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Allston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $51,077 per year, or $24.6 per hour.

Head, Innovation Accelerator Data Science

Genentech

Boston, MA • On-site

Full-time

Re-posted 5 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical


Job description

This role is based in the Innovation Accelerator (IA) team, the innovation engine and connective tissue for Design, Data and Data Science innovation strategy within Product Development Data Sciences (PDD). We translate our long-term PDD vision into actionable strategy, shaping and prioritizing innovative cross-functional use cases that span PDD, PD, and Pharma. As both integrators and incubators, we explore, prototype, and help productize solutions to deliver impact in close partnership with internal Roche teams and external collaborators. With a mindset rooted in openness, value creation, and adaptability, we navigate the innovation ecosystem to drive transformative impact and future readiness across the organization.

The Opportunity:

The Head of Innovation Accelerator Data Science is responsible for driving technical excellence across design, data and data science innovation programs for Roche Product Development. This role combines deep subject matter expertise in data science and software development with people leadership and portfolio oversight. The Head of IA Data Science ensures strong technical execution, guides architectural decisions, and aligns technical capacity with strategic goals. As a direct report to the Function Head, this position plays a critical role in shaping the innovation roadmap, scaling capabilities, and growing high-performing technical teams.

  • You provide technical leadership across early exploration and productization phases of innovation projects, ensuring alignment with departmental goals and enterprise direction

  • You act as subject matter expert and single point of escalation/problem resolution for applied data science and software engineering within the innovation portfolio

  • You influence PDD data, design and data science (3D) strategy and in-silico strategy & roadmap(s) through strategic technical leadership/expertise

  • You make architectural decisions independently and ensure adherence to best practices for scalability, performance, reliability, and compliance

  • You oversee execution quality, technical risk management, and project velocity across multiple high-impact workstreams and domains

  • You establish and enforce technical standards, enabling reuse, modularity, and robust design across solution development

  • You lead technical capacity planning and resource deployment within the team, prioritizing based on departmental strategy and portfolio needs

  • You collaborate with cross-functional and enterprise partners to translate innovation opportunities into feasible, impactful, and technically sound solutions

  • You drive the Innovation Accelerator portfolio through contribution to governance, resource planning, and progress reviews

  • You identify and integrate new technologies and platforms, applying functional expertise and organizational context to maximize department performance

  • You ensure traceability, reproducibility, and risk mitigation through robust documentation and engineering practices across all technical deliveries

  • You manage a multidisciplinary team of specialists and junior leaders (e.g., data scientists, software engineers), ensuring accountability for delivery, performance, and development

  • You oversee hiring, onboarding, workforce planning, and succession management aligned to departmental capabilities and strategic growth areas

  • You coach and mentor team members to enhance their individual performance and long-term potential, developing future technical leaders across roles and backgrounds

  • You foster a high-performance, inclusive culture focused on collaboration, ownership, and continuous improvement

  • You set development goals, conduct performance evaluations, and guide career progression based on business priorities and professional aspirations

  • You manage team deployment and resource allocation across a complex portfolio of innovation projects, balancing individual growth with business needs

  • You execute short-term department plans by managing priorities, budget, and capacity in coordination with function leadership

  • You influence senior stakeholders and functional leadership to secure alignment, resources, and sponsorship for technical priorities

Who you are:

  • You have an advanced degree (Master's or PhD) in Computer Science, Data Science, Statistics, Engineering, or a related technical field

  • You have 15+ years of hands-on experience in software engineering, data science, or technical innovation, ideally within R&D or regulated environments

  • You have 4+ years in a leadership role managing multidisciplinary technical teams

  • You have proven experience driving technology delivery from prototyping to scaled implementation

  • You have deep expertise in modern data and software development technologies and architectural practices

  • You are proficient with Python or R, and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch

  • You have a strong understanding of supervised/unsupervised learning, statistical modeling, and experimental design

  • You are familiar with software development practices including version control, testing, and collaborative coding

  • You have experience running simulations or analyses in a high-performing computing environment

  • You have knowledge of and experience with four or more of the following:

    • Epidemiology, including causal inference methods for observational real world data (RWD) or real world evidence (RWE)

    • Bayesian statistics

    • Decision theory, including multiple criteria decision analysis (MCDA), utility elicitation, decision simulation models, or Value of Information

    • Clinical outcomes research using data from electronic health records (EHR)

    • Discovery mechanisms and evidence generation pathways for novel biomarkers and risk scores

    • Interpretable machine learning

    • Methods to incorporate knowledge graphs, ontologies, or other forms of structured information

    • Probabilistic programming languages

    • Complex or innovative clinical trial designs, including adaptive stopping, seamless Phase 2/Phase 3 designs

  • You have a strong track record in managing resources, planning capacity, and balancing competing priorities

  • You have excellent communication and stakeholder management skills

  • You are fluent in agile delivery, DevOps, or other modern ways of working

  • You have a passion for continuous learning

  • You have a passion for mentoring colleagues of all backgrounds

  • You have capacity for independent thinking and ability to make decisions based upon sound principles

  • You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond technical domain

  • You demonstrate respect for cultural differences when interacting with colleagues in the global workplace

  • You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language

Preferred:

  • Experience in pharma, life sciences, or healthtech sectors

  • Familiarity with regulated environments and compliance-driven product development

  • Exposure to innovation frameworks (e.g., lean startup, dual-track agile)

  • Demonstrated ability to assess and integrate emerging technologies (e.g., GenAI, ML Ops, cloud platforms)

Relocation benefits are not available for this posting

The expected salary range for this position based on the primary location of California is $254,400-$472,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits

#PPDT

#PDDSSF

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Genentech logo

About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

Social media