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Remote Data Science Jobs in Salem, MA (NOW HIRING)

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with Data Science/ML and Product to productionize models and AI workflows; champion CI/CD and IaC. * Troubleshoot performance and cost issues; mentor engineers and set coding standards.

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

RWD Scientist

Boston, MA · On-site +1

$115K - $214K/yr

You work within established guidelines and data science processes to ensure compliance and quality * You support knowledge sharing and continuous improvement in RWD methodology and delivery * You ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

This is a remote position, and the successful candidate must be able to meet all home office environment requirements. Responsibilities * Serve as the primary clinical resource to the Data Science ...

Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote We are hiring a visionary Principal Data Scientist in a critical senior technical leadership role ...

Showing results 41-60

Remote Data Science information

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Data Science jobs in Salem, MA? The most popular types of Data Science jobs in Salem, MA are:
What job categories do people searching Remote Data Science jobs in Salem, MA look for? The top searched job categories for Remote Data Science jobs in Salem, MA are:
What cities near Salem, MA are hiring for Remote Data Science jobs? Cities near Salem, MA with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Salem, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Director, Immunology Data & AI Systems

Jj

Cambridge, MA • On-site, Remote

$54.50 - $74.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


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:

Data Science

Job Category:

People Leader

All Job Posting Locations:

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

Job Description:

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 athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for a Senior Director, Immunology Data & AI Systems to join our Immunology R&D Data Science & Digital Health team (DSDH). This role will accelerate Immunology Research and Development (R&D) by advancing the utility of data through AI. This position will be located on site at one of our offices in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego CA (NO fully remote option available).

We are recruiting for a Senior Director, Immunology Data & AI Systems. This role will accelerate Immunology Research and Development (R&D) by advancing the utility of data through AI. The primary location for this position is flexible - either Cambridge MA, Spring House PA, New Brunswick, NJ or Titusville, NJ.

Johnson and Johnson Innovative Medicine develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Cardiovascular and Metabolic disorders, Immunology, Neuroscience, and Infectious diseases. Our ultimate goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson, visit www.jnj.com.


About the Role

We are seeking a strategic and technical leader to Deliver data products and associated AI applications that are aimed at accelerating the Immunology R&D Pipeline. This role reports through the Research & Development Data Science & Digital Health (DSDH), directly to Vice President, Immunology and Cardiopulmonary, DSDH. They will be tasked with leading a team to accelerate and scale the development of foundational enterprise data products, and deployment of a diverse set of scaled AI models and solutions for the entire Immunology therapy area. This role ensures that high-value internal and external Immunology data assets-including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)-are standardized, productized, and integrated into Johnson and Johnson's enterprise R&D data ecosystem.

The position encompasses a horizontal engagement with the Immunology TA as well as teams in R&D Data Science and Digital Health. The successful candidate will be positioned as a senior leader in expanding an Immunology-focused data foundation as well as the technical delivery of associated AI-based tools. This leader will also interact with a wide range of technical partners within R&D as well as senior level stakeholders throughout the company. Also, this person will ensure that Immunology data products and AI solutions will fill business requirements, will be semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, resulting in better access and use.

Key Responsibilities

  • Lead a team to develop technical requirements for Immunology-facing data products that enable AI applications.
  • Attract, upskill and retain top talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and Johnson & Johnson Technology (JJT).
  • Define and maintain a roadmap for Immunology data products, spanning discovery, translational research, clinical development, and real-world evidence.
  • Partner with Knowledge Management, Data Platforms & Governance, and Master Data Management teams to ensure Immunology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs.
  • Lead a team that works with key business partners to develop and deploy impactful and scalable AI solutions for Immunology
  • Contribute to the development and governance of an Immunology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data.
  • Establish and work with governance models, agile delivery processes, and value-tracking metrics for Immunology data products and AI tools.
  • Champion data literacy and adoption within the Immunology therapeutic area (TA).

Required Qualifications

  • Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar.
  • Minimum of 10 years of post-academic, industry, or equivalent, experience.
  • Experience with diverse, high dimensional data sets, such as multi-modal Immunology data, including omics, imaging, translational, clinical trial, and RWE data
  • Extensive experience in creating scalable and impactful data-driven solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.).
  • Strong experience in people leadership, and ability to work in a matrixed organization
  • Deep knowledge of data products, database design, data transformation/mapping
  • Excellent communication skills and strategic thinking capabilities.

Preferred Qualifications

  • Experience in the Life Sciences, Healthcare, Pharmaceutical or Medical Tech sector.
  • Experience with Immunology Ontology enterprise metadata standards and external frameworks (e.g. CDISC, GA4GH, FHIR, NCI Thesaurus)
  • Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization.

This position will be located on-site at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego, CA (NO fully remote option available). Occasional travel for crossfunctional workshops, design sessions, and team meetings may be required.
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.
The anticipated base pay range for this position is $196,000 to $342,700. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below.https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.


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Required Skills:

Preferred Skills:

Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking