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Relocation Package Data Science Jobs in Boston, MA

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Role overview As a member of the Data Science team with a focus on CarGurus's international ... This annual base salary forms part of a comprehensive Total Rewards Package. In addition to ...

The Opportunity Data science isn't a feature on this team. It's the foundation. We're looking for a ... PI's benefits package, including unlimited PTO and 401(k). At The Predictive Index, we value ...

This involves leveraging data science methodologies to analyze data, identify trends, optimize ... Compensation and Total Rewards Package Ropes & Gray is proud to offer a comprehensive Total Rewards ...

This involves leveraging data science methodologies to analyze data, identify trends, optimize ... Compensation and Total Rewards Package Ropes & Gray is proud to offer a comprehensive Total Rewards ...

Data Scientist II

Boston, MA · On-site

$156K - $211K/yr

Required Experience * MS + 2 years of Data Science experience or PhD in Computer Science ... Vectra Total Rewards $156,000-$211,100 USD Vectra provides a comprehensive total rewards package ...

This involves leveraging data science methodologies to analyze data, identify trends, optimize ... Ropes & Gray is proud to offer a comprehensive Total Rewards package to our business support team ...

Responsibilities: * Use data science and machine learning principles to develop effective ... We also offer a competitive benefits package, including 401(k) match, medical, dental and vision ...

Senior Data Scientist

Boston, MA · On-site

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the ... What We Offer We're proud to offer a competitive rewards package that is meaningful, recognizes the ...

Senior Data Scientist

Boston, MA · Hybrid

$95K - $166K/yr

As a Senior Data Science at Nasdaq, you will join a specialized team of AI researchers pushing the ... What We Offer We're proud to offer a competitive rewards package that is meaningful, recognizes the ...

Data Scientist

Boston, MA · On-site

$123K - $129K/yr

Employer will accept a Master's degree in Computer Science, Data Science, Engineering, Marketing ... Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as ...

Data Scientist

Wellesley, MA · On-site +1

$114K - $173K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics ... This full‑time position is eligible for a comprehensive benefits package designed to support the ...

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Showing results 1-20

Relocation Package Data Science information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do relocation package data science jobs pay per year?

As of Jun 27, 2026, the average yearly pay for relocation package data science in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 per year, depending on experience, location, and employer.

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Boston, MA? For Relocation Package Data Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Boston, MA look for? The top searched job categories for Relocation Package Data Science jobs in Boston, MA are:

Expert II / Senior Expert I, Data Science, New Targets

Novartis

Cambridge, MA • Hybrid

$126K - $234K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 15 days ago


Novartis rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

53rd of 73 rated pharmaceutical


Job description

Job Description Summary

#LI-Hybrid
Location: Cambridge, Massachusetts, United States
This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you.
The Oncology Data Science team in Biomedical Research works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering to advance innovative therapeutics across drug modalities. We are seeking a highly motivated Senior Expert I / Expert II, Data Science to join the New Targets team as an experienced individual contributor. This role will apply advanced statistical, machine learning, and computational approaches to generate biological insight from complex multi-modal datasets and support target discovery and prioritization.
The successful candidate will bring expertise across multiple omics modalities and data types, including spatial transcriptomics, proteomics, digital pathology, mIF or similar high-plex tissue imaging modalities as well as other high-dimensional molecular data such as bulk and single-cell RNA-seq, WES, WGS, etc. The role requires both scientific depth and technical fluency, including modern AI-enabled workflows that improve productivity, reproducibility, and scale.


Job Description

Key Responsibilities

  • Lead the analysis and integration of multi-modal omics datasets, including spatial transcriptomics, proteomics, high-plex imaging, and sequencing-based platforms (e.g., RNA-seq, scRNA-seq, WES, WGS)

  • Develop and apply advanced statistical, machine learning, and AI-driven methods to extract actionable biological insights from complex datasets

  • Partner with cross-functional teams to design and execute studies supporting target identification, validation, and translational research

  • Build and contribute to scalable, reproducible data science workflows and computational pipelines

  • Ensure high standards of data quality, reproducibility, and scientific rigor in all analyses

  • Evaluate and implement emerging technologies, including AI-assisted coding platforms and agentic tools, to enhance team effectiveness and innovation

  • Communicate scientific findings clearly to both technical and non-technical stakeholders

  • Contribute to knowledge sharing, best practices, and continuous improvement within the computational biology and data science community

Essential Requirements

  • PhD (or equivalent experience) in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative discipline

  • Demonstrated expertise in the analysis of complex omics datasets and at least one of the following: spatial transcriptomics, proteomics, or digital pathology

  • Strong programming skills in R and/or Python

  • Experience working with high-performance computing (HPC) environments and workflow management systems

  • Deep understanding of statistical modeling, machine learning, and data integration methodologies

  • Familiarity with AI-assisted coding tools and modern data science productivity platforms

  • Strong collaboration and communication skills, with the ability to work effectively in multidisciplinary teams

The salary for this position is expected to range between:

  • Expert II: [$114,100 - $211,900/year]

  • Senior Expert I: [$126,000 - $234,000/year]

The final salary and level offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of therole, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Inaddition, employees are eligible for a generous time off package including vacation, personal days,holidays and other leaves.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$126,000.00 - $234,000.00


Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis