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Computer Science Data Science Jobs in Cambridge, MA

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

  • Medical

  • Retirement

Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science * Completed coursework related to Business/Management or Business/Customer Analytics Skills: * 7+ ...

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

  • Medical

  • Retirement

Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science * Completed coursework related to Business/Management or Business/Customer Analytics Skills: * 7+ ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge ... A Ph.D. degree in quantitative discipline (e.g., computer science, electrical and computer ...

Director, Data Science

Boston, MA · On-site

$126K/yr

  • Medical

  • Retirement

  • PTO

PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience. * Deep expertise in Python, data-centric ...

Showing results 41-60

Computer Science Data Science information

See Cambridge, MA salary details

$41K

$134.2K

$214.8K

How much do computer science data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computer science data science in Cambridge, MA is $134,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $148,600.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What are popular job titles related to Computer Science Data Science jobs in Cambridge, MA?

For Computer Science Data Science jobs in Cambridge, MA, the most frequently searched job titles are:

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

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

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

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

Head of Data Science & Digital Health Innovation (Cambridge)

Data Sentinel Inc.

Cambridge, MA • On-site

$196K - $342K/yr

Part-time

Retirement, PTO

Posted 2 days ago

New


Job description

Job Overview

Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health – Therapeutics Discovery. This position has a primary location of Spring House, PA and is also open to Cambridge, MA. Up to ~25% domestic/international travel may be required.

Responsibilities
  • Develop and execute a comprehensive data strategy for TD, focusing on advanced automation, data integration, and FAIR data practices; in close alignment with TD and IT.
  • Lead the design and implementation of scalable data pipelines to support discovery workflows.
  • Partner with TD leaders to build strong external partnerships with industry consortia and academic partners pertaining to Data Science needs for TD.
  • Co‑Champion data governance, analytics, model lifecycle management (MLOps), and Responsible AI standards into reusable capabilities that can be shared elsewhere in the organization.
  • Lead a core team of data scientists and engineers to support TD in reaching its strategic goals.
  • Collaborate with TD teams (such as In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce emerging technologies such as generative and agentic AI, multimodal analytics, and advanced automation tools that benefit TD’s business objectives.
  • Collaborate with TD teams (such as In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce data and technology innovation standards.
  • Work with peers across Discovery, Product Development & Supply (DPDS) and our Therapeutic Areas to generate and analyze data for opportunities in Therapeutic Discovery (e.g., experiment design, molecule design, lab process automation).
Qualifications
  • PhD or equivalent experience in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics or related field.
  • 12+ years in data science for drug discovery, with experience leading teams in a matrix setting.
  • Proven expertise in creating high impact R&D innovations through data science, data engineering, and automation within scientific domains.
  • Strong experience leading the application/creation of ML/AI methods while demonstrating a deep understanding of drug discovery workflows.
  • Demonstrated success in delivering interoperable data products and scalable analytics platforms.
  • Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization.
Leadership Attributes
  • Strategic Vision: Ability to anticipate future trends in data science and drug discovery and translate them into actionable strategies.
  • Collaborative Influence: Skilled at building consensus and driving alignment across diverse scientific and technical teams.
  • Innovation Mindset: Passion for leveraging emerging technologies to solve complex scientific challenges.
  • Talent Development: Commitment to mentoring and growing a high‑performing team of data scientists and engineers.
  • Communication Excellence: Ability to articulate complex technical concepts to non‑technical stakeholders and executive leadership.
Equal Opportunity Employer

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected under federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. We are committed to providing an inclusive interview process for applicants with disabilities.

Pay and Benefits

The anticipated base pay range for this position is $196,000.00 – $342,700.00. Employees may also be eligible to participate in the Company’s consolidated retirement plan (pension and 401(k)), long‑term incentive program, and a range of time‑off benefits.

Subject to the terms of their respective policies, full benefits may include: Vacation – 120 hours per calendar year; Sick time – 40 hours per calendar year (48 hours in Colorado, 56 hours in Washington); Holiday pay – 13 days per calendar year; Work, Personal and Family Time – up to 40 hours per calendar year; Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child; Bereavement Leave – 240 hours for an immediate family member; Caregiver Leave – 80 hours in a 52‑week rolling period; Volunteer Leave – 32 hours per calendar year; Military Spouse Time‑Off – 80 hours per calendar year.

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