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Phd Data Scientist Jobs (NOW HIRING)

MM International

Data Scientist

New York, NY · Remote

PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. * Relevant clinical development experience (programming, RBM/RBQM, Data Management ...

Waymo

Data Scientist

San Diego, CA · On-site

Waymo data scientists work hand-in-hand with engineering teams at each stage of the software ... PhD in a quantitative field * Experience solving problems related to Autonomous Driving or Ride ...

Voto Consulting LLC

Data Scientist

Arlington, VA · On-site

Master's degree (or PhD level) in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study. * Knowledge in cloud data analytics solutions, managing, developing ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Master's/PhD in Computer Science, Data Science, or equivalent experience * 4-7 years of industry experience working with real-world datasets * Experience with Agile Scrum development methodology * C# ...

Xforia, Inc.

Data Scientist

This role will be responsible for data science and ML Ops on the Databricks platform. This role ... MS or PhD preferred) in computer science, engineering, statistics, mathematics, or related field ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

THE TYPE OF CANDIDATE WE'RE LOOKING FORMaster's or PhD in Data Science, Statistics, or related field.5-8 years of data science experience.Expertise in Python, SQL, and machine learning frameworks.

Victory

Data Scientist

Austin, TX · On-site

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen Employment Type: FULL_TIME

Figma

Data Scientist, Core Data - PhD (2026)

Required : • PhD in a quantitative field (Statistics, Computer Science, Economics, Operations ... distributed data systems (e.g. Snowflake) through research or internships • Ability to ...

Victory

Data Scientist

Austin, TX · On-site +1

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences, or Economics)

VTG

Data Scientist

Chantilly, VA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Manulife

Data Scientist

Boston, MA · Hybrid

The Data Scientist is accountable for delivering business value with data by focusing on key ... A PhD or equivalent experience in a quantitative field (such as Computer Science, Mathematics ...

Aven

Data Scientist

Campbell, CA · On-site

Required : • 5+ years of data science experience with a track record of thought leadership and innovation • A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline. * Strong foundation in data analysis, statistical modeling, and machine learning ...

Aven

Data Scientist

Campbell, CA · On-site

Required : • 5+ years of data science experience with a track record of thought leadership and innovation • A PhD or MS in a quantitative field (e.g., Engineering, Mathematics, Natural Sciences ...

Apple

Data Scientist

Cupertino, CA · On-site

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

Required : • Active TS/SCI with Polygraph required. • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) • ...

Wise Equation Solutions Inc.

Data Scientist

Newark, NJ · On-site

Role Overview We are looking for a skilled Data Scientist to join our team. You will work on large ... Master''s or PhD preferred Key Responsibilities * Process and analyze large datasets using Hadoop ...

Parafin

Data Scientist, Underwriting

San Francisco, CA · Remote

Our Team Enthusiasm, skepticism, and respect for data are in our DNA - two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives ...

DCCA

SME - Data Scientist

Mclean, VA · On-site

Responsibilities : • Experience with data science toolkits, data analytics and statistical ... years of experience • PhD + 2 years of experience • High School Diploma + 12 years of ...

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Phd Data Scientist information

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$165K

$243.5K

How much do phd data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for phd data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a PhD data scientist?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What are the key skills and qualifications needed to thrive as a PhD data scientist?

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD data scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.
More about Phd Data Scientist jobs
What cities are hiring for Phd Data Scientist jobs? Cities with the most Phd Data Scientist job openings:
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What job categories do people searching Phd Data Scientist jobs look for? The top searched job categories for Phd Data Scientist jobs are:
Phd Data Scientist jobs near you
Infographic showing various Phd Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

MM International

New York, NY • Remote

Contractor

Re-posted 4 days ago

Job description

Title:  Data Scientist

Location:  Remote

Duration 4-6 months

The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.
KEY RESPONSIBILITIES:
The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the studies’ complexity and studies’ development stage:
• Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
• Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
• Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
• Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
• Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
• Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.
Qualifications
Education & Experience
• PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
• Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example:
o PhD: 3+ years
o MS: 5+ years
o BA/BS: 8+ years
Technical – Required
• Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
• Hands-on experience working with clinical trial data.
• Proficiency with Microsoft Word, Excel, and PowerPoint.
Technical – Preferred / Strong Plus
• Experience with RAVE EDC.
• Awareness or working knowledge of CDISC, CDASH, SDTM standards.
• Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.