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Thinking Machines Lab Jobs in Boston, MA (NOW HIRING)

Johnson Controls

Sr. Mechanical Engineer

Burlington, MA · On-site

$113K - $150K/yr

You have experience developing complex machines from concept to execution, solving tough ... thinking for root cause analysis, and an ability to thrive in a fast-paced environment.This ...

Lila Sciences

Senior Automated Systems Engineer

Cambridge, MA · On-site

$114K - $156K/yr

... lab. * Develop scalable automated solutions for synthesis and characterization workflows ... Explore and integrate emerging technologies, such machine vision, and advanced sensors, to enhance ...

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How much do thinking machines lab jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for thinking machines lab in Boston, MA is $24.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $26.39 per hour, depending on experience, location, and employer.

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

To thrive as a Data Scientist at Thinking Machines Lab, you need expertise in statistics, machine learning, and data analysis, usually backed by a degree in computer science or a related field. Proficiency in Python, R, SQL, and experience with cloud platforms and data visualization tools are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you deliver actionable insights and work effectively within teams. These skills and qualities are crucial for developing innovative solutions that drive impactful, data-driven decisions for clients.

What is the difference between Thinking Machines Lab vs Data Scientist?

AspectThinking Machines LabData Scientist
Required CredentialsAdvanced degrees in computer science, AI, or related fieldsDegree in statistics, computer science, or related fields; certifications like Certified Data Scientist
Work EnvironmentResearch labs, tech companies, AI-focused organizationsCorporate offices, tech firms, consulting agencies
Industry UsageAI research, machine learning development, innovation projectsData analysis, predictive modeling, business insights

Thinking Machines Lab primarily focuses on AI research and machine learning innovation, often within research institutions or tech companies. Data Scientists analyze data to generate insights and support business decisions. While both roles require strong technical skills and knowledge of machine learning, Thinking Machines Lab emphasizes research and development, whereas Data Scientists focus on applying data analysis to real-world problems.

What is Thinking Machines Lab?

Thinking Machines Lab is a data science and artificial intelligence consultancy that helps organizations leverage data to solve complex problems and drive innovation. Founded in the Philippines, the company offers services such as data engineering, machine learning, data visualization, and geospatial analytics. Their team works with businesses, governments, and NGOs to design custom solutions and build data-driven strategies. Thinking Machines Lab is known for its expertise in AI and its commitment to ethical and impactful technology.

What are the typical collaboration dynamics for team members at Thinking Machines Lab?

At Thinking Machines Lab, team members often work in cross-functional groups that include data scientists, engineers, designers, and project managers. Collaboration is highly encouraged through regular sprint meetings, project check-ins, and open communication channels. You can expect to engage with both internal colleagues and external clients to co-create data solutions, provide feedback, and iterate on project deliverables. This collaborative environment fosters learning and innovation, making it a great place for professionals who enjoy teamwork and problem-solving.
What are popular job titles related to Thinking Machines Lab jobs in Boston, MA? For Thinking Machines Lab jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Thinking Machines Lab jobs in Boston, MA look for? The top searched job categories for Thinking Machines Lab jobs in Boston, MA are:
What cities near Boston, MA are hiring for Thinking Machines Lab jobs? Cities near Boston, MA with the most Thinking Machines Lab job openings:
Thinking Machines Lab jobs near you
Infographic showing various Thinking Machines Lab job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $50,913 per year, or $24.5 per hour.

HMS - Associate in Biomedical Informatics (HIDIVE Lab)

Harvard University

Cambridge, MA • On-site

$60K - $67K/yr

Full-time

Re-posted 5 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 617 rated colleges and universities

Job description

Position
Details
Title
HMS - Associate in Biomedical Informatics (HIDIVE Lab)
School
Harvard Medical School
Department/Area
Position Description
Our Lab
Join our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems!
The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar.
We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high impact data visualization tools and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team!
Your Role
As an Associate in the lab, you will be part of our research team and contribute one or more of the following skills to HIDIVE Lab projects:
  • research and methods development
  • software engineering, and visualization, user interface, or user experience design
  • data collection, management, and analysis
  • academic writing

You will work under the mentorship of the PI, postdoctoral fellows, or other senior lab members.
Our Resources
The HIDIVE Lab participates in large-scale collaborative projects such as
  • NIH Human Biomolecular Atlas Program (HuBMAP)
  • NIH Cellular Senescence Network (SenNet)
  • NIH Kidney Precision Medicine Network (KPMP)
  • NIH Common Fund Data Ecosystem (CFDE)
  • APRA-H Biomedical Data Fabric (BDF)
  • Human Cell Atlas (HCA)
  • NIH 4D Nucleome Consortium (4DN).

Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects.
Our work also benefits from multiple research software products (e.g., HiGlass, Vitessce, Gosling, HuBMAP Data Portal User Interface, etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research.
Basic Qualifications
The minimum qualifications for this role are:
  • Bachelor or Masters degree in biomedical
    informatics, computer science, computational
    biology, data science or a related field.
  • Prior research experience (internships, research
    assistantships) and contributions to scientific
    projects involving computational work.

Additional Qualifications
If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.
Special Instructions
Contact Information
George Bandek
695 Huntington Ave, STE 514
Boston, MA 02115
Contact Email
george_bandek@hms.harvard.edu
Salary Range
$60,000 - $67,000
Minimum Number of References Required
Maximum Number of References Allowed
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