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Data Science Research Assistant Jobs in Worcester, MA

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

... edge of research. The ideal candidate will thrive in this setting, contributing to our growth ... Stay current with the latest developments in data science and bioinformatics tools. Qualifications:

AstraZeneca

Scientist, Data Science

Waltham, MA

... edge of research. The ideal candidate will thrive in this setting, contributing to our growth ... Stay current with the latest developments in data science and bioinformatics tools. Qualifications:

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

... edge of research. The ideal candidate will thrive in this setting, contributing to our growth ... Stay current with the latest developments in data science and bioinformatics tools. Qualifications:

Babson College

Research Assistant (OIM)

Wellesley, MA · On-site

$28.91/hr

... the Research Assistant is responsible for performing delegated tasks in support of research ... Preprocess and analyze data as well as build models according to the methods needed, i.e ...

Babson College

Research Assistant (OIM)

Wellesley, MA · Hybrid

$28.91/hr

... the Research Assistant is responsible for performing delegated tasks in support of research ... Preprocess and analyze data as well as build models according to the methods needed, i.e ...

Babson College

Research Assistant (OIM)

Wellesley, MA · Hybrid

$28.91/hr

... the Research Assistant is responsible for performing delegated tasks in support of research ... Preprocess and analyze data as well as build models according to the methods needed, i.e ...

Babson College

Research Assistant (OIM)

Babson Park, MA · Hybrid

$28.91/hr

OverviewUnder the supervision of the Principal Investigator or designee, the Research Assistant is ... Preprocess and analyze data as well as build models according to the methods needed, i.e ...

Boseallaboutme

Sr. Data Scientist

Framingham, MA

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These ... Experience with experimental research methods (DOE, RCT, Quasi-experimental design) * Experience ...

Bose Corporation

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

Data science, machine learning, and analytics are a crucial part of this mission. These ... Experience with experimental research methods (DOE, RCT, Quasi-experimental design) * Experience ...

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Data Science Research Assistant information

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How much do data science research assistant jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data science research assistant in Worcester, MA is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $25.43 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What are popular job titles related to Data Science Research Assistant jobs in Worcester, MA?

For Data Science Research Assistant jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant jobs in Worcester, MA look for?

The top searched job categories for Data Science Research Assistant jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Data Science Research Assistant jobs?

Cities near Worcester, MA with the most Data Science Research Assistant job openings:

Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $45,472 per year, or $21.9 per hour.

Scientist, Data Science

AstraZeneca

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

22nd of 86 rated pharmaceutical

Job description

We are seeking a highly motivated Scientist to join a newly formed, dynamic team within early oncology R&D. The successful candidate will leverage their data science expertise in mining large datasets to drive our efforts in target identification, mechanism of action (MOA) studies, and biomarker strategy development, with a particular focus on analyses related to the function and aging of the immune system.
At AstraZeneca, you'll have the opportunity to make a significant impact on the future of healthcare while working in a collaborative environment at the cutting edge of research. The ideal candidate will thrive in this setting, contributing to our growth trajectory as we build our evolving team.
Key Responsibilities:
  • Execute and Maintain Pipelines: Process and analyze large-scale biobank datasets, human population data, and in-vitro biological data using established analysis pipelines.

  • Analytical Support: Apply analytical methods and machine learning algorithms to help identify potential therapeutic targets and biomarkers.

  • Cross-Functional Collaboration: Partner with wet-lab scientists to analyze experimental results for target identification and Mechanism of Action (MOA) studies.

  • Data Visualization: Generate high-quality visualizations and reports to communicate findings to the project team.

  • Strategic Contribution: Provide high-quality data and computational insights that contribute to the development of biomarker strategies.

  • Team Participation: Actively participate in team meetings, presenting data-driven insights to help the group meet project milestones.

  • Continuous Learning: Stay current with the latest developments in data science and bioinformatics tools.

Qualifications:
  • Education: Ph.D. in Bioinformatics, Computational Biology, Data Science, Epidemiology, or a related field (0-2 years post-graduate experience); or MS with 2-4 years of experience; or BS with 4+ years of relevant experience.

  • Data Experience: Minimum 2 years of experience working with large-scale biological or population datasets, preferably including experience analyzing immune system aging/function within the context of human and/or mouse data.

  • Coding Proficiency: Strong proficiency in Python or R.

  • Technical Knowledge: Solid understanding of statistical analysis and foundational machine learning techniques.

  • Genomics Foundation: Hands-on experience with NGS data analysis (e.g., RNA-seq, DNA methylation, ChIP-seq, or ATAC-seq).

  • Multi-omics Interest: Experience with, or a strong desire to learn, proteomic data analysis and multi-omic data integration.

  • Operational Skills: Excellent problem-solving skills, attention to detail, and the ability to manage multiple tasks in a fast-paced environment.

  • Communication: Ability to clearly present data and technical workflows to a multidisciplinary team.

Desired Skills and Attributes:
  • Prior experience or familiarity with biomarkers of immune system aging/function.

  • Prior experience or internship in the pharmaceutical or biotechnology industry.

  • Prior experience running large-scale association testing (e.g., genome-wide association studies [GWAS], epigenome-wide association studies [EWAS], proteome-wide association studies).

  • Familiarity with methods in statistical genetics (e.g., Mendelian randomization, fine mapping, colocalization).

  • Familiarity with machine learning analysis architectures (e.g., random forest, gradient boosting, transformers).

  • Familiarity with public biological databases (e.g., GTEx, TCGA), epidemiological cohort data (e.g., TOPMed cohorts), or biobanks (e.g., UK Biobank, FinnGen).

  • Ability to apply integrated generative protein design pipelines - from target-conditioned backbone generation through sequence design to computational fold validation - to support the development of novel therapeutic biologics with optimized specificity and developability properties.

  • Working knowledge of computational histology pipelines incorporating modern deep learning approaches - including self-supervised and weakly supervised learning (MIL, DINO) and histopathology foundation models (e.g. UNI, CONCH) - to enable scalable, label-efficient classification of complex tissue phenotypes.

  • Familiarity or prior experience with agentic AI in the context of analysis code pipeline development and biological analysis.

  • Evidence of scientific contribution through publications, posters, or GitHub repositories.

As AstraZeneca continues to put patients at the forefront of our mission, we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here: Kendall Square Press Release
Ready to join us on this mission? Apply now!
If you're curious to know more, please contact Bobbi Poole, our Talent Acquisition Partner.
Competitive remuneration and benefits apply
We offer a competitive Total Reward program including a market driven base salary, bonus and long-term incentive. We have a generous paid time off program and a comprehensive benefits package.
The annual base pay for this position ranges from $91,008.80 - $136,513.20. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
06-Aug-2026
Closing Date
29-Aug-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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