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Ml Data Associate Jobs in Boston, MA (NOW HIRING)

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

About this role Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic ... This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... ML approaches, including generative AI where relevant, to communicate actionable insights to ...

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed ... Stay current with advances in AI/ML and their application to ADME, PK/PD, and drug discovery and ...

MIT Lincoln Laboratory

AI/ML Engineering

Lexington, MA · On-site

... Associate Staff - AI/ML Group 36, the Integrated Missile Defense Technology group, seeks highly ... Desired areas of expertise include any of the following: data science and engineering, artificial ...

MIT Lincoln Laboratory

AI/ML Engineering

Lexington, MA · On-site

... Associate Staff - AI/ML Group 36, the Integrated Missile Defense Technology group, seeks highly ... Desired areas of expertise include any of the following: data science and engineering, artificial ...

MIT Lincoln Laboratory

AI/ML Engineering

Lexington, MA · On-site

... Associate Staff - AI/ML Group 36, the Integrated Missile Defense Technology group, seeks highly ... Desired areas of expertise include any of the following: data science and engineering, artificial ...

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Showing results 21-40

All JobsMl Data Associate JobsMl Data Associate Jobs in Boston, MA

Ml Data Associate information

See Boston, MA salary details

$62.5K

$73.9K

$140.1K

How much do ml data associate jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ml data associate in Boston, MA is $73,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $64,600.00 per year, depending on experience, location, and employer.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

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

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

How do I become an ML Data Associate?

To become an ML Data Associate, candidates typically need a high school diploma or equivalent, along with strong attention to detail and organizational skills. Familiarity with data management tools, basic understanding of machine learning concepts, and experience with data annotation or labeling are often required. Some roles may also require knowledge of programming languages like Python or experience with data annotation platforms.

What skills do you need for a machine learning data associate job?

A machine learning data associate needs strong analytical skills, attention to detail, and proficiency in data management tools like Excel, SQL, or Python. Knowledge of data cleaning, labeling, and basic understanding of machine learning concepts are also important for the role.

What are popular job titles related to Ml Data Associate jobs in Boston, MA?

For Ml Data Associate jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Ml Data Associate jobs in Boston, MA look for?

The top searched job categories for Ml Data Associate jobs in Boston, MA are:

What cities near Boston, MA are hiring for Ml Data Associate jobs?

Cities near Boston, MA with the most Ml Data Associate job openings:

Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $73,917 per year, or $35.5 per hour.

Associate Director, AI/Data Science

Biogen

Cambridge, MA • On-site

$176K - $242K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Biogen rating

9.3

Company rating: 9.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical

Job description

About this role
Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic adoption of advanced analytics, machine learning, and generative AI across pharmacovigilance, regulatory, quality, and clinical data operations. This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner across research & development leaders to transform how data is used to improve decision-making, operational efficiency, patient safety, and compliance in a regulated life sciences environment.
What You'll Do
  • Define and lead analytics and AI strategy using modern methodologies, including LLMs, GenAI applications, agentic workflows, and RAG-based solutions.
  • Research, test, and implement new technologies, data sources, and AI/ML approaches for pharmacovigilance, regulatory submissions, quality, and clinical data insights.
  • Establish AI governance, validation protocols, and responsible AI practices aligned with GxP and regulatory requirements.
  • Collaborate with cross-functional R&D analytics groups to advance standards, innovation, and analytics governance.
  • Present findings, model evaluations, and business impact of AI-enabled solutions to technical and non-technical stakeholders.
  • Mentor and upskill junior staff in data science, GenAI, LLMs, prompt engineering, RAG architectures, and responsible AI practices.

Who you are
The ideal candidate is a strategic, hands-on data science leader who can translate emerging AI capabilities into validated, compliant, high-impact solutions. They bring strong technical depth in GenAI and advanced analytics, sound judgment in regulated environments, and the communication skills to align stakeholders across medical safety, regulatory, quality, clinical, and technology functions. Travel is expected to be less than 10%.
Qualifications
  • Bachelor's degree required; master's degree preferred in computer science, mathematics, statistics, computational biology, or a related field.
  • 7+ years of experience in a biotechnology or pharmaceutical organization using data to support R&D decision-making.
  • Expert programming skills with Python, R, LLMs, or other languages applied to large, complex, and disparate data sources.
  • Experience developing LLM applications, prompt engineering, RAG pipelines, fine-tuning approaches, and AI solutions for regulated life sciences settings.
  • Knowledge of pharmacovigilance, regulatory information management, quality systems, clinical trial data, and compliance frameworks.

Job Level: Management
Additional Information
The base compensation range for this role is: $176,000.00-$242,000.00
Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.
Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees' and their families physical, financial, emotional, and social well-being; including, but not limited to:
  • Medical, Dental, Vision, & Life insurances
  • Fitness & Wellness programs including a fitness reimbursement
  • Short- and Long-Term Disability insurance
  • A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
  • Up to 12 company paid holidays + 3 paid days off for Personal Significance
  • 80 hours of sick time per calendar year
  • Paid Maternity and Parental Leave benefit
  • 401(k) program participation with company matched contributions
  • Employee stock purchase plan
  • Tuition reimbursement of up to $10,000 per calendar year
  • Employee Resource Groups participation

Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

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About Biogen

Sourced by ZipRecruiter

At Biogen, our mission is clear - we are pioneers in neuroscience. Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious neurological and neurodegenerative diseases. Together, our employees create, commercialize, and manufacture transformative therapies for our patient population.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Cambridge, MA, US

Year founded

1978

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