ZipRecruiter

Log In

1

Postdoctoral Data Scientist Jobs (NOW HIRING)

INSPYR Solutions

Senior Data Scientist

Los Angeles, CA · On-site

$106.31 - $132.31/hr

Senior Data Scientist Location: Los Angeles, CA (Hybrid Work Schedule) Duration: 12+ months ... postdoctoral work), or equivalent practical experience (M.S. with 6-8+ years, or B.S. with 8-10+ ...

UNC-Chapel Hill

Data Scientist

Chapel Hill, NC · On-site

$32.50K - $37.50K/yr

... Title Data Scientist Appointment Type EHRA Non-Faculty Position Number 20075584 Vacancy ID ... At least on year of postdoctoral training working in Psychology, Neuroscience, or a related field ...

INSPYR Solutions

Senior Data Scientist

Los Angeles, CA · On-site

$106.31 - $132.31/hr

Senior Data Scientist - Long Term Project - Remote (US/PST) Title: Senior Data Scientist Location ... postdoctoral work), or equivalent practical experience (M.S. with 6-8+ years, or B.S. with 8-10+ ...

next page

Showing results 1-20

People also search for

All JobsPostdoctoral Data Scientist Jobs

Postdoctoral Data Scientist information

See salary details

$42.5K

$86K

$116.5K

How much do postdoctoral data scientist jobs pay per year?

As of May 31, 2026, the average yearly pay for postdoctoral data scientist in the United States is $85,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Postdoctoral Data Scientist, and why are they important?

To thrive as a Postdoctoral Data Scientist, you need advanced statistical analysis, machine learning expertise, and a PhD in a quantitative field such as computer science, statistics, or engineering. Familiarity with programming languages like Python or R, data visualization tools, and experience with big data platforms are typically required. Strong problem-solving, communication, and project management skills help you effectively collaborate across disciplines and present complex findings. These skills ensure you can drive impactful research, translate data into actionable insights, and contribute to scientific and organizational goals.

What are some typical collaborative projects a Postdoctoral Data Scientist might work on within a research team?

As a Postdoctoral Data Scientist, you can expect to work closely with both academic researchers and industry professionals on interdisciplinary projects. These collaborations often involve designing and implementing advanced data analysis pipelines, developing machine learning models, and interpreting complex datasets to extract actionable insights. You may also co-author scientific papers, contribute to grant proposals, and present findings at conferences. Collaboration is crucial, as you will regularly share your expertise with other scientists and provide guidance on best practices in data management and analysis.

What is a Postdoctoral Data Scientist?

A Postdoctoral Data Scientist is a researcher who has completed their doctoral studies (PhD) and is engaged in advanced research and analysis involving large data sets. They often work in academic, government, or industry settings, applying statistical, computational, and machine learning techniques to solve complex problems. Their work may involve developing new methodologies, publishing research findings, and collaborating with interdisciplinary teams. Postdoctoral Data Scientists typically aim to expand their expertise and contribute to scientific knowledge before moving to more permanent positions.

What is the difference between Postdoctoral Data Scientist vs Data Scientist?

AspectPostdoctoral Data ScientistData Scientist
Required CredentialsPhD in Data Science, Computer Science, or related fieldBachelor's or Master's degree in relevant field, often with industry experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageResearch-focused roles, academia collaborationsProduct development, analytics, business intelligence
Common Search & ComparisonResearch, academic projects, postdoctoral rolesIndustry projects, data analysis, machine learning applications

Postdoctoral Data Scientists typically hold a PhD and work in research or academic settings, focusing on advanced data analysis and experimentation. Data Scientists usually have a bachelor's or master's degree and work in industry, applying data analysis and machine learning to solve business problems. The roles differ mainly in work environment and experience level, but both require strong analytical skills and familiarity with data tools.

More about Postdoctoral Data Scientist jobs
What cities are hiring for Postdoctoral Data Scientist jobs? Cities with the most Postdoctoral Data Scientist job openings:
What states have the most Postdoctoral Data Scientist jobs? States with the most job openings for Postdoctoral Data Scientist jobs include:
What job categories do people searching Postdoctoral Data Scientist jobs look for? The top searched job categories for Postdoctoral Data Scientist jobs are:
Postdoctoral Data Scientist jobs near you
Infographic showing various Postdoctoral Data Scientist job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 3% Full Time, 91% Part Time, and 1% Contract. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $85,959 per year, or $41.3 per hour.
Senior Machine Learning Data Scientist

Senior Machine Learning Data Scientist

Roberts Recruiting

Cambridge, MA

Other

Posted 9 days ago

Job description

Would you like to contribute creatively to a large, meaningful mission? We are in the processing of transforming healthcare. In particular, we are transforming the way that care givers across the country integrate information and make decisions. With a recent acquisition, we now have an unprecedented combination of scale and industry leading technology and talent to change the way we experience healthcare. Specifically designed with the size and scale to address the complexity of today's and tomorrow's healthcare system, we are a company committed to advancing medical benefits management - and enabling better outcomes for patients, providers, and plans. Ours is an evidence-based approach that leverages our exceptional capabilities, powerful analytics, and
an acute sensitivity to the challenges and needs of everyone involved across the healthcare spectrum. Applying proven talent and leading-edge technology, we harness healthcare's evolving demand and inherent change to realize and deliver improved results for everyone.
Want to join us?
We leverage our deep evidence based knowledge and technology to deliver services and software solutions so healthcare payers and providers can deliver the best quality care. Our natural language processing (NLP) and machine learning (ML) platform replaces outdated manual processes with software-driven clinical reasoning.
We are seeking highly creative and motivated post graduate and/or postdoctoral data scientists with exceptional skills who will complement our growing team. Our NLP platform coupled with large proprietary healthcare datasets and strategic vision of
transforming decision making in healthcare require a state of the art machine learning platform. As a
machine learning data scientist, you will:
Design, develop, and prototype machine learning and statistical analysis techniques to automate clinical decision making, including deep learning, collaborative filtering, and other machine learning techniques to extract insights at scale from structured and unstructured electronic health record data and other healthcare data sources.
Design and apply statistical techniques to evaluate and monitor the outcomes of automated clinical decision making at scale
Help evolve our NLP platform, combining input from clinicians and other domain experts with state of the art NLP techniques
Build data driven apps whose goals are to: translate data into intelligence, help transform the work of clinical decision making, quality reporting and pathway planning, and to help solve a variety of strategic business problems in healthcare.
Assists business with causal inferences & observations providing data-driven business insights.
Requirements:
"Can do" attitude: you are biased towards action and ready to speak your mind
Ph.D. in Computer Science, Mathematics, Statistics, Engineering, or a related field, or Master's degree with 3+ years of industry experience.
Strong publication record and/or additional industry experience a plus
Deep machine learning expertise. Experience with Deep Learning and/or Natural Language Processing algorithms and tools a strong plus.
Experience with a diverse set of computing technologies: Python, Linux, Bash, SQL. High proficiency in Python a strong plus. Experience with Java/C++ a strong plus.
Experience with big data frameworks (Hadoop, Spark, etc.) and/or NoSQL databases a plus
Experience with healthcare data a plus
Excellent organizational and communication skills
What's in it for you, other than improving patient care? We carefully select really smart people and provide them with the autonomy to build great software. We recognize and reward based on merit, not titles. We have amazing views from our offices, lots of food, an espresso machine and other perks. But most of all we offer the chance to build your career with people like you who want to solve problems, and have fun together.

Apply