1

Associate Data Analyst Jobs in Massachusetts (NOW HIRING)

Senior Associate, Data Engineer

Boston, MA ยท On-site

$115K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Key Responsibilities include: โ€ข Design and build scalable data pipelines integrating internal applications (e.g., OMS/PMS systems) and external data vendors such as Bloomberg and MSCI โ€ข Analyze ...

Associate Dir, Full Stack Data Scientist

Cambridge, MA ยท On-site +1

$64K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... This includes managing issue analysis, proper triage and issue assignments, and planning ...

Associate Director, Data Science

Cambridge, MA ยท Hybrid

$160K - $297K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed ... Apply and advance currently available data mining and advanced analytics to link molecular ...

Associate Dir, Full Stack Data Scientist

Cambridge, MA ยท On-site +1

$64K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead ... This includes managing issue analysis, proper triage and issue assignments, and planning ...

Software Developer I (Analyst) is an entry-level, hybrid seat on that team - combining foundational ... data * Associate's or Bachelor's degree in Computer Science, Information Systems, or a related ...

Software Developer I (Analyst) is an entry-level, hybrid seat on that team - combining foundational ... data * Associate's or Bachelor's degree in Computer Science, Information Systems, or a related ...

Software Developer I (Analyst) is an entry-level, hybrid seat on that team - combining foundational ... data * Associate's or Bachelor's degree in Computer Science, Information Systems, or a related ...

Software Developer I (Analyst) is an entry-level, hybrid seat on that team - combining foundational ... data * Associate's or Bachelor's degree in Computer Science, Information Systems, or a related ...

Associate Director, CMC Data Science

Framingham, MA ยท On-site

$160K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Summary of The Associate Director of CMC Data Science will work with cross-functional teams while ... CMC Statistical Lead and point of contact for statistical analysis requests across the CMC ...

Showing results 41-60

Associate Data Analyst information

See Massachusetts salary details

$37.1K

$90.3K

$148.5K

How much do associate data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for associate data analyst in Massachusetts is $90,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $105,900.00 per year, depending on experience, location, and employer.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What are the most commonly searched types of Data Analyst jobs in Massachusetts?

The most popular types of Data Analyst jobs in Massachusetts are:

What job categories do people searching Associate Data Analyst jobs in Massachusetts look for?

The top searched job categories for Associate Data Analyst jobs in Massachusetts are:

What cities in Massachusetts are hiring for Associate Data Analyst jobs?

Cities in Massachusetts with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,253 per year, or $43.4 per hour.

Associate Director, Data Science

Novartis Pharmaceuticals Corporation

Cambridge, MA โ€ข Hybrid

$160K - $297K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Band

Level 5


Job Description Summary

#LI-Hybrid
Internal Title: Associate Director
Location: Cambridge, MA
Novartis is a leader in data science and model-informed drug development. We are seeking an experienced Data Science leader to advance data-driven drug discovery and development by integrating advanced analytics, machine learning, and mechanistic modelling approaches.
In this role, you will partner with Pharmacokinetic Sciences (PKS) Modeling & Simulation (M&S), Translational Medicine, and multidisciplinary project teams to transform large-scale experimental datasets into actionable insights. You will develop and apply hybrid approaches that combine machine learning with mechanistic modelling (e.g., PK/PD, QSP) to support decision-making from discovery through clinical development.
You will contribute to departmental strategy, drive innovation in AI-augmented modelling approaches, and ensure the proactive use of data science and in silico methods to guide compound progression, prioritization, and clinical decision-making.
This role reports to the Head of Data Science in the PKS M&S team within Translational Medicine in Biomedical Research.


Job Description

Key responsibilities:

  • Shape and advance AI-driven MIDD by integrating mechanistic modelling and machine learning to bridge biology and clinical outcomes.

  • Design and implement hybrid modelling pipelines where mechanistic simulations generate features for machine learning models.

  • Translate model-derived biomarkers and mechanistic states into clinically relevant predictions and decision-support tools.

  • Drive scientifically grounded AI approaches that enhance mechanistic understanding, ensuring rigor, interpretability, and robustness.

  • Develop scalable, reproducible workflows integrating data science, mechanistic modelling, and in-house tools.

  • Define and implement project-specific in silico modelling and data strategies aligned with key decision questions.

  • Apply and advance currently available data mining and advanced analytics to link molecular structure, ADME properties, and pharmacological outcomes across modalities.

  • Drive adoption and effective use of in silico models, tools, and data to accelerate decision-making.

  • Collaborate with PKS, Translational Medicine, and Data & Digital teams to integrate diverse datasets (preclinical, clinical, external).

  • Contribute to translational programs across disease areas and communicate modelling insights to influence decision-making.

  • Stay current with advances in AI/ML and their application to ADME, PK/PD, and drug discovery and development, and proactively evaluate and bring appropriate innovation into practice to improve efficiency and scientific impact.

Essential requirements

  • Advanced degree in life sciences or quantitative discipline (e.g., data science, computational biology, pharmacometrics, bioinformatics, computational chemistry, biomedical engineering or related field).

  • PhD with 5+ years or MSc with 8+ years of relevant experience in drug discovery or development.

  • Strong expertise in machine learning, statistics, and data science methods.

  • Demonstrated experience applying reproducible data science approaches to drug discovery or development.

  • Experience combining mechanistic modelling and data-driven approaches is strongly preferred.

  • Strong understanding of ADME, PK/PD, and/or translational modelling concepts.

  • Proficiency in Python and/or R, including software development best practices (version control, testing, documentation).

  • Experience with machine learning libraries such as scikit-learn, PyTorch, or Keras.

  • Strong data visualization and exploratory data analysis skills.

  • Ability to translate complex analytical concepts into clear, actionable insights.

  • Strong collaboration and communication skills across multidisciplinary teams.

  • Fluency in English (oral and written).

This is a hybrid role that requires a balance of in-person and virtual working, with an average of 12 days a month on site in Cambridge, MA.

The salary for this position is expected to range between $160,300 and $297,700 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

To learn more about the culture, rewards and benefits we offer our people click here.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings


Salary Range

$160,300.00 - $297,700.00


Skills Desired

Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis