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Associate Data Scientist Jobs in Roxbury Crossing, MA

Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care. The Associate Principal Scientist, PharmaR&D will ...

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary The Opportunity As an AI Data Scientist Senior Associate, you will leverage advanced analytics and ...

Associate Director, AI/ML Engineering

Cambridge, MA · On-site

$64K - $65K/yr

As Associate Director, AI/ML Engineering, you will build state-of-the-art AI/ML tools and pipelines ... Provide tactical and strategic technical support for AI/ML Researchers and Data Scientists * Stay ...

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Associate Data Scientist information

See Roxbury Crossing, MA salary details

$62.4K

$73.9K

$140K

How much do associate data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for associate data scientist in Roxbury Crossing, MA is $73,866.00, 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 does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

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

AspectAssociate Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Roxbury Crossing, MA?

The most popular types of Data Scientist jobs in Roxbury Crossing, MA are:

What cities near Roxbury Crossing, MA are hiring for Associate Data Scientist jobs?

Cities near Roxbury Crossing, MA with the most Associate Data Scientist job openings:

Infographic showing various Associate Data Scientist job openings in Roxbury Crossing, MA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,866 per year, or $35.5 per hour.

Associate Principal Scientist, PharmaR&D

Tempus

Boston, MA

$64K - $64K/yr

Full-time

Re-posted 19 days ago


Key responsibilities

  • Design, propose, and execute research projects for Tempus's biopharmaceutical partners.

  • Perform complex computational analyses and guide algorithm development to advance cancer precision medicine.

  • Lead the derivation of complex real-world endpoints using extensive coding and demonstrate deep understanding of clinical and molecular data structures.


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Associate Principal Scientist, PharmaR&D


Boston, MA | New York City, NY | Chicago, IL

Are you passionate about using clinico-genomics to transform cancer therapeutic care?

Tempus is a technology company at the forefront of the expansion of multi-modal healthcare data generation and the application of artificial intelligence (AI) to fundamentally change cancer care. Tempus is growing, and we are seeking exciting new talent to join the team.

Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights to physicians and drug developers. As a Tempus employee you will have access to the world's largest real-world patient clinical data set linked to claims, genetics, and digital pathology. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.


The Associate Principal Scientist, PharmaR&D will design, propose and execute research projects for Tempus's top biopharmaceutical partners. This role will require staying up to date in research and industry trends in oncology drug development to identify specific areas where the Tempus platform can provide impact to our partners portfolio. This role involves performing complex computational analyses and guiding algorithm development for advancing cancer precision medicine for patients across the Tempus network. The ideal candidate will possess strong real-world data analytical skills, experience in applying machine learning and statistical models to big data, and the ability to communicate complex findings to various stakeholders.


Description

  • Scientific Communication: Expert in navigating client interactions; Present highly technical results and methods clearly and meaningfully to diverse sets of external stakeholders
  • Real World Data Expertise & Technical Oversight: Lead the derivation of complex real-world endpoints using extensive coding, demonstrating deep comprehension of Tempus clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data.
  • AI & LLM Innovation: Incorporate LLMs, agentic workflows, foundation models and other AI tools into day-to-day workflows to accelerate code development, discovery, documentation, review, and insight generation.
  • Collaboration: Work with Research, Engineering & Data Science teams across Tempus' expansive data science community to develop and deliver innovative computational solutions.
  • Drug R&D: Partner with big pharma clients. Become proficient in the clients' strategies, drug modalities and pipeline to identify where the Tempus platform can add value.
  • Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality
  • Qualifications


Education and experience:

  • Experience at a Pharmaceutical company or in a client facing analytical role
  • Advanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:
  • PhD and additional 4+ years of working experience
  • Masters and additional 6+ years of working experience
  • Technical/Scientific Skills:
  • Expert-level proficiency in observational late stage trial data or real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis).
  • Track record of leading clinical/RWD analytical studies from initial scoping through to publication or dissemination.
  • Proficient in R, Python, and SQL, and respective packages for computational biology.
  • Strong understanding of cancer biology.
  • Strong peer-reviewed publication record.
  • Adherence to good software engineering practices (version control, documentation).


Communication Skills:

  • Expert in navigating client interactions; Present scientific findings clearly and meaningfully to diverse sets of external stakeholders.
  • Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
  • Motivated: Excel in a dynamic environment, seamlessly adapting to shifting priorities, and self motivated to explore portfolio related opportunities.
  • Preferred Skillsets/Background
  • Experience in clinical trial design (particularly Phase II-III) in the clinical development space.
  • Extensive proficiency with claims, EHR, or registry data.
  • High-level familiarity with NCCN guidelines and the ability to interpret real-world outcomes within the context of the current oncology standard of care.
  • Previous experience analyzing biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets.
  • Experience with: Package development, tidyverse, Git, matplotlib, Pandas, Jupyter Notebook
  • Proficiency applying machine learning, statistical modeling, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis.

CHI: $155,000-$200,000 USD


NYC/SF: $165,000-$210,000 USD


The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.