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

Vertex is seeking to hire an Associate Director (AD), Marketing Science to join the North America ... Define data analytics needed to answer ongoing business questions and support/oversee its execution

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 ...

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 ...

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 ...

Manage the execution of data science strategies and initiatives, including the design, development ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

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Data Science Associate information

See Boston, MA salary details

$62.6K

$74.1K

$140.6K

How much do data science associate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science associate in Boston, MA is $74,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $64,800.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Boston, MA? The most popular types of Data Science jobs in Boston, MA are:
What are popular job titles related to Data Science Associate jobs in Boston, MA? For Data Science Associate jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Boston, MA look for? The top searched job categories for Data Science Associate jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Science Associate jobs? Cities near Boston, MA with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 66% Full Time, 31% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $74,133 per year, or $35.6 per hour.
Translational Science Associate Director

Translational Science Associate Director

AstraZeneca

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

18th of 74 rated pharmaceutical


Job description

Are you ready to turn patient biology into decisive clinical strategy for immune-mediated diseases? In this role, you will shape how human insights drive program design, accelerate decision-making, and sharpen product differentiation across cellular, biologic, and small molecule modalities. Your work will directly influence how quickly and confidently we bring transformative therapies to patients.

You will lead from the interface of research and development, uniting discovery science, clinical teams, and external partners around clear translational objectives. How would you leverage biomarkers and human evidence to make faster, smarter decisions that change the trajectory of our programs and the lives they aim to improve?

Accountabilities:

  • Translational Strategy Leadership: Define and execute integrated translational and biomarker strategies for immune-mediated disease programs, ensuring robust human evidence guides phase progression and differentiation.

  • Biomarker Strategy and Delivery: Design and deliver clinical biomarker plans spanning human target validation, target engagement, pharmacodynamic readouts, and molecular differentiation, with clear, pre-specified decision points.

  • Target-to-Disease Connection: Build strong target-to-disease hypotheses using human genetics, tissue biology, and mechanistic models; translate insights into program objectives and go/no-go criteria.

  • Cross-Functional Integration: Align discovery and clinical teams to shape protocols, endpoints, sampling strategies, and assay readiness so every patient data point advances mechanistic understanding.

  • External Partnerships and CRO Management: Lead CROs and collaborators to deliver translational studies to time, quality, and budget; ensure fit-for-purpose assay validation, data standards, and operational excellence.

  • Clinical Data Translation: Interrogate clinical and translational datasets to refine dose/response, identify responders, and inform next-study design and lifecycle plans; communicate implications clearly to governance bodies.

  • Lifecycle and New Program Strategy: Serve as global product team translational lead to enable lifecycle management and new program strategies that build competitive differentiation and patient impact.

  • Scientific Leadership and Innovation: Act as a recognized authority in translational science, solving complex problems with innovative approaches; mentor peers, raise scientific standards, and represent programs externally.

Essential Skills/Experience:

  • Master's degree required.

  • 5 years of relevant professional experience required, including experience in clinical development or translational science.

  • Strong knowledge of the pathogenesis of immune mediated disease and the application of cellular, molecular technologies and models to drive program decisions,

  • Prior experience in clinical biomarker strategy development and execution including human target validation, target engagement, and molecular differentiation.

  • Significant experience managing CROs for translational studies and biomarkers for clinical trials.

  • Detailed understanding of translational and clinical research methodology and biostatistics principles.

  • Attention to detail, strive to generate high-quality work, and sense of passion and urgency to achieve team and program goals.

  • Demonstrated experience contributing to and leading complex projects.

  • Demonstrated track record in delivering results.

  • Outstanding verbal and written communication skills.

  • Excellent analytical, problem solving and strategic planning skills.

Desirable Skills/Experience:

  • Experience in clinical biomarker development of T-cell therapy and/or other advanced therapeutic modalities in house or with CROs

  • Experience in the authoring of relevant sections of regulatory documents.

  • Understanding of the full drug development process, with experience across phases of therapeutic development and studies

  • Understanding of FDA, EMA, MHRA and ICH GCP guidelines as they pertain to translational strategy.

The annual base pay (or hourly rate of compensation) for this position ranges from 142,377.60 - 213,566.40 USD Annual (80% - 120%). 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.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca:

Here you will be empowered to follow the science with the tools, data, and collaborative partnerships to tackle complex disease biology end to end. We bring unexpected teams into the same room to test bold ideas, fusing human biology, digital, and AI to better predict clinical success and raise the bar for patient impact. You will work alongside curious, courageous colleagues who celebrate learning from both breakthroughs and setbacks, supported by leaders who value clarity, kindness, and ambition. Your insights will directly shape next-generation therapeutics and help move promising medicines to patients with greater speed and confidence.

Call to Action:

If you are ready to lead translational strategy that turns human insight into life-changing therapies, take the next step and shape what science can do with us.

As AstraZeneca continues to put patients at the forefront of our mission, we are excited for our move toKendallSquare/Cambridge in 2026. Find out more information here:KendallSquare Press Release

Date Posted

24-Jun-2026

Closing Date

09-Jul-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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