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Postdoctoral Data Scientist Jobs (NOW HIRING)

Postdoctoral Scholar

Bodega Bay, CA ยท On-site

$69K - $107K/yr

Data analysis, scientific model development, and machine control in Python, C++, or other common ... Postdoctoral positions are paid on a step schedule per union contract and salaries will be ...

$145 - $228/hr

Senior Data Scientist - AI/ML (Immunology & Oncology Imaging) Within DAGS, our AI/ML team drives ... years postdoctoral experience or Master's degree with 4+ years of industry experience. * Strong ...

New

Postdoctoral Research Scientist FLSA Status: Exempt Department: Negaunee Integrative Research Our ... Responsibilities include SNP data processing, population structure analyses, phylogenetic inference ...

POSTDOCTORAL SCHOLAR

Iowa City, IA ยท On-site

$63K/yr

POSTDOCTORAL SCHOLARRequisition # 4568Position Basics Advertising Ends on: Tuesday, August 18th ... engineering, data science, and neuroimaging methods. The position provides opportunities to ...

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Postdoctoral Data Scientist information

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$42.5K

$86K

$116.5K

How much do postdoctoral data scientist jobs pay per year?

As of Aug 23, 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 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 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 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 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:

Infographic showing various Postdoctoral Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,959 per year, or $41.3 per hour.

Postdoctoral Scholar

GO-Energy Geosciences

Bodega Bay, CA โ€ข On-site

$69K - $107K/yr

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago


Job description

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Scholar within the Energy Geosciences Division.

Talented and experienced PhD researchers are encouraged to apply for this competitive postdoctoral position utilizing universal potentials, machine learning interatomic potentials, atomistic simulations, and computational thermodynamics to understand phase behavior in ionic liquids, solids, and the interfaces between them. The candidate will join a diverse team of researchers from multiple disciplines at Lawrence Berkeley National Laboratory and partner institutions, including National Laboratories, Universities, and Industry.ย 

The goal: Develop high-throughput approaches to predict new material reaction mechanisms and pathways.

The challenge: Deploy artificial Intelligence and machine learning to accelerate first-principles computation and to understand the thermodynamic behavior of ionic systems.

We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

Why join Berkeley Lab?

We invest in our employees by offering a total rewards package you can count on:

  • Be a part of a cutting-edge team at the forefront of clean energy research

  • Access state-of-the-art instrumentation at Berkeley Lab, including autonomous laboratories driven by artificial intelligence

  • Collaborate with experts from diverse scientific backgrounds in a supportive environment

  • Exceptional health and retirement benefits, including pension or 401K-style plans

  • A culture where you'll belong - we are invested in our teams!ย 

  • In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.

  • Parental bonding leave (for both mothers and fathers)

You will:

  • Publication of high impact peer reviewed science

  • Independent development of hypothesis driven, fundamental science

  • Experimental calorimetry including DSC, drop solution, acid solution, isothermal titration, or similar

  • Data analysis, scientific model development, and machine control in Python, C++, or other common scientific programming language

  • Design, fabrication, operation, troubleshooting, and repair of laboratory equipment

ย 

We are looking for:

  • Ph.D. in Chemistry, Materials Science, Computational Science, Data Science, Applied Mathematics, Physics, Chemical Engineering, or other related field

  • Demonstrated laboratory research experience and knowledge in thermodynamics and calorimetry

  • Demonstrated effective verbal and written communication skills

  • Proven ability to work productively both independently and as part of an interdisciplinary team

ย 

Additional information:

  • Application date: Priority consideration will be given to candidates who apply by June 1, 2026. Applications will be accepted until the job posting is removed.

  • Appointment type: This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.

  • Salary range: The salary range for this position is $69,084 - $107,052 and is expected to start at $69,084 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience.

  • Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

  • Work modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).

  • Union Represented: This position is represented by a union for collective bargaining purposes.

  • Drug Testing Language: This position is designated as a Testing-Designated Position under the U.S. Department of Transportation's Federal Motor and Carrier Safety Administration regulations and Berkeley Lab's Workplace Substance Abuse Policy and is subject to all associated requirements.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.

Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.