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Data Science Manager Remote Jobs in Lexington, MA

This full-time, remote position allows you to leverage your expertise in the health and fitness ... Science, Health Informatics, or a related field * 1+ years of experience in data management or a ...

Sr. Tax Manager (REMOTE)

Waltham, MA · On-site +1

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

Sr. Tax Manager (REMOTE)

Boston, MA · On-site +1

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

Data Scientist I

Boston, MA · On-site +1

$117K - $163K/yr

Work with data scientists, application developers, product managers and software engineers to develop and support software for new machine learning products. Other: Telecommuting permitted up to 2 ...

Showing results 41-60

Data Science Manager Remote information

See Lexington, MA salary details

$34.8K

$109.1K

$193.2K

How much do data science manager remote jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science manager remote in Lexington, MA is $109,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $141,000.00 per year, depending on experience, location, and employer.

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What job categories do people searching Data Science Manager Remote jobs in Lexington, MA look for? The top searched job categories for Data Science Manager Remote jobs in Lexington, MA are:

Associate Director, AI Quality And Governance - R&D Data Science & Digital Health

Johnson & Johnson

Cambridge, MA • On-site, Remote

$64K - $65K/yr

Full-time

Retirement, PTO

Re-posted 7 days ago


Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Multi-Family Data Analytics & Computational Sciences

Job Category:

People Leader

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine (IM) is recruiting for an Associate Director of AI Quality and Governance - R&D Data Science & Digital Health.

This position can be located in Titusville, NJ; New Brunswick, NJ; Springhouse, PA; La Jolla, CA; Cambridge, MA. This position will require up to 15% travel.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine

About the Role
We are seeking an experienced leader to drive enterprise aligned AI governance across Data Science & Digital Health (DSDH) and the broader R&D organization. This role focuses on implementing high quality, compliant, and scalable governance practices for both traditional AI/ML and GenAI systems, ensuring safe, responsible, and consistent development and deployment. The leader will partner closely with DSDH teams, Quality, Legal, Global Regulatory Affairs, and Johnson & Johnson Technology (JJT) to streamline governance processes, embed AI safety protocols, and align with enterprise strategic priorities. The position plays a critical role in advancing good AI practices across R&D and strengthening cross functional collaboration.

Responsibilities

  • Develop and maintain an AI governance roadmap that supports R&D strategy, enabling informed decision making and proactive management of AI related risks.

  • Develop, implement, and drive adoption of quality assurance processes for AI/ML and GenAI development, integrate those processes with existing medical product and digital health tool development processes, and ensure adherence to internal and external regulatory standards.

  • Drive alignment on AI quality/governance initiatives across R&D and enterprise, partnering with JJT to streamline governance workflows and promote consistent adoption across R&D.

  • Create and disseminate playbooks, toolkits, and standardized guidance to support teams in implementing responsible AI practices.

  • Establish and track metrics to evaluate governance effectiveness, including processes for audits, reviews, and risk based assessments of AI systems.

  • Serve as a technical and strategic advisor on AI governance topics

  • Collaborate with therapeutic areas, functional partners, and senior stakeholders to drive cross functional collaboration and alignment.

  • Represent Johnson & Johnson in external AI governance forums and consortia, contributing to industry wide standards and best practices.

Qualifications

  • Advanced degree (PhD or Master's) in Computer Science, Data Science, Artificial Intelligence, Biomedical Informatics, or a related field, with additional training or certification in AI ethics, governance, or regulatory compliance.

  • 6 - 8+ years of experience working in AI, data science, analytics, machine learning, or related fields, including experience leading, partnering with, or delivering AI-driven solutions preferably in a regulated industry (e.g., pharma, healthcare, biotech).

  • Experience in AI governance in regulated environment, with proven track record of leading AI governance initiatives and processes for AI development, model lifecycle management and deployment, etc.

  • Knowledge of global regulatory frameworks in medical products and AI (e.g. FDA, EMA, ICH, EU AI Act, ISO/IEC standards, etc.)

  • Deep understanding of AI/ML & GenAI model development, deployment, and monitoring, including AI risk assessment and mitigation

  • Experience working with cross-functional teams including regulatory affairs, IT, and data science, product development.

  • Strong experience in a matrixed organization, with excellent communication skills and strategic thinking capabilities.

  • Ability to drive cultural change around responsible AI use and digital transformation.

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 by 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.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

#LI-GR1
#JRDDS
#JNJDataScience
#JRD
#LI-Hybrid

Required Skills:

Preferred Skills:

Advanced Analytics, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Performance Measurement, Process Optimization, Relationship Building, Stakeholder Engagement, Statistical Computing, Strategic Thinking

The anticipated base pay range for this position is :

$137,000.00 - $235,750.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -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: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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