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Data Science Jobs in Dedham, MA (NOW HIRING)

Director, AI and Data Science

Watertown, MA ยท On-site

$240K - $255K/yr

SUMMARY We are looking for a versatile Director, AI & Data Science to join our growing Data Science team. This is a high-visibility role, working closely with the Head of Data Science, that sits at ...

New

Associate Director, Data Science

Boston, MA ยท On-site

$160 - $251/hr

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting an Associate Director (Associate Principal Scientist) to join our data science team. We are ...

Lead Data Scientist

Boston, MA ยท On-site

$152 - $217/hr

The Enterprise Data Science team sits at the center of the company, partnering with business leaders to deliver solutions that create durable competitive advantage. We are seeking a highly motivated ...

New

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Expert - Remote

Boston, MA ยท Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Expert - Remote

Boston, MA ยท Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Senior Data Science Engineer

Cambridge, MA ยท On-site

$126K - $151K/yr

As a Senior Data Science Engineer, you will leverage radar data to drive strategic decisions, design data pipelines, and develop predictive models while collaborating with engineering teams to ensure ...

Showing results 41-60

Data Science information

See Dedham, MA salary details

$38.5K

$126.1K

$201.8K

How much do data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science in Dedham, MA is $126,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $139,700.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What job categories do people searching Data Science jobs in Dedham, MA look for?

The top searched job categories for Data Science jobs in Dedham, MA are:

What cities near Dedham, MA are hiring for Data Science jobs?

Cities near Dedham, MA with the most Data Science job openings:

Infographic showing various Data Science job openings in Dedham, MA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,077 per year, or $60.6 per hour.

Director, AI and Data Science

Triveni Bio

Watertown, MA โ€ข On-site

$240K - $255K/yr

Full-time

Posted yesterday

New


Job description

COMPANY INTRODUCTION
ย 
Triveni Bio is breaking new ground in the identification of novel disease targets - working at the convergence of human genetics, best-in-class antibody design, and precision medicine.ย  We are pioneering a Mendelian genetics-informed precision medicine approach to develop functional antibodies for the treatment of immunological and inflammatory (I&I) disorders. Our lead antibody program (TRIV-509) targets kallikreins 5 and 7 (KLK5/7) to directly impact skin barrier function, inflammation, and itch - providing a meaningful and much needed potential treatment option for patients with atopic dermatitis and other barrier disorders. In all the work we do, we adhere to our core values: patient impact, bold and rigorous science, open collaboration, kindness & respect.

SUMMARYย 

We are looking for a versatile Director, AI & Data Science to join our growing Data Science team. This is a high-visibility role, working closely with the Head of Data Science, that sits at the intersection of enterprise AI enablement and hands-on scientific data analysis.ย  You will spend half of your time engaging cross-functional stakeholders, including Translational Medicine, Biostats, Finance, Business Development, and others, to understand their workflows, identify automation and AI opportunities, and deliver tailored solutions. The remaining half will be dedicated to hands-on research and clinical data science work, personally running the analyses and building the pipelines.

This is an ideal role for someone who is equally comfortable conducting a stakeholder discovery session as they are writing a Python script, and who thrives in a fast-paced biotech environment where no two weeks look the same.

RESPONSIBILITIES

AI Enablement & Cross-Functional Solutions

  • Partner with leaders across multiple functions to gather requirements, understand pain points, and identify high-impact AI/automation use cases
  • Translate business requirements into reproducible, script-based solution designs, from automated data workflows to LLM-augmented tools
  • Prototype, evaluate, build, and deploy AI-assisted solutions as reproducible scripts and pipelines (not just chatbot interactions), tailored to each function's needs
  • Develop and maintain an AI use-case roadmap tracking opportunities, feasibility, and impact across the organization
  • Support the company-wide rollout of AI collaboration tools (e.g., Google Gemini, ChatGPT, Claude), including training, best practices, and governance
  • Create documentation, SOPs, and lightweight training materials to drive adoption and self-sufficiency within each function
  • Track adoption metrics and user feedback to iterate on deployed solutions

Human Genetics, Bioinformatics & Translational Research

  • Lead human genetics analyses, including human genetics scoring, variant interpretation, and genotype-phenotype association studies
  • Drive real-world evidence (RWE) data curation and analysis using platforms such as TriNetX, All of Us, and UK Biobank
  • Build and own bioinformatics workflows (e.g., sequencing data analysis, proteomics/transcriptomics expression profiling, biomarker analysis)
  • Partner with Biometrics and Clinical Development to support clinical and biomarker data analyses across ongoing trials (e.g., exploratory, biomarker, and post-hoc analyses)
  • Partner with the research team to deliver data visualization, reporting, and exploratory analyses that inform target and program decisions

EXPERIENCE & QUALIFICATIONSย 

  • Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related quantitative field with 5 years of relevant experience in data science, analytics, or AI/ML, preferably in biotech, pharma, or healthcare
  • Proficient in Python and/or R
  • Hands-on experience with LLMs / generative AI tools (prompt engineering, API integration, or building AI-powered workflows) and experience with enterprise AI platforms
  • Familiarity with cloud platforms (AWS, GCP) and data infrastructure and high dimensional data
  • Exposure to bioinformatics tools and pipelines (e.g., Omics analysis, variant calling) and statistical human genetics methods (e.g., GWAS/PheWAS, fine-mapping, colocalization, Mendelian randomization, and rare-variant/burden testing)
  • Experience building internal tools or dashboards (e.g., Streamlit, R-Shiny, web apps)
  • Strong interpersonal skills; comfortable working with diverse teams across functions (Finance, Clinical, BD, Research) and engaging stakeholders at all levels, from bench scientists to senior leaders
  • Self-starter mindset: Comfortable with ambiguity; able to independently scope, prioritize, and deliver in a lean team environment
  • Understanding of AI governance, data privacy, and safe AI practices in regulated industries desired
$240,000 - $255,000 a year
The posted range reflects the current reasonable and good faith estimate of the base salary for this full-time position. Actual compensation will be based on a variety of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location and other organizational needs. This role also offers a competitive target bonus, equity, and a comprehensive benefits package.
ย 
We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values.ย Please note that the advertised pay range is not a guarantee or promise of a specific wage.
ย 
Triveni Bio, along with other biotech companies, has become aware of a surge in email scams targeting prospective job candidates within our industry. Official Triveni Bio applications will always be submitted through Lever, our ATS. Any applications that take you to other platforms could be fraudulent. We do not use text or chat applications to conduct interviews or make job offers. Official Triveni Bio correspondence will always be conducted from email addresses ending in @triveni.bio or @hire.lever.co. Please disregard any other communications that do not originate from these domain names. If you receive any suspicious requests or communications, please verify their authenticity before responding.
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