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Postdoctoral Data Scientist Jobs (NOW HIRING)

Michael Freeman is looking for a Postdoctoral Scientist to join the team! Working independently but ... The incumbent analyzes, interprets data, and may assist in the preparation of grant proposals. This ...

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

$70K - $91K/yr

The Postdoctoral Scientist performs a variety of research and/or laboratory tasks and experiments ... Analyzes data and records the results and conclusions of laboratory experiments. Interprets ...

$70K - $91K/yr

The Postdoctoral Scientist performs a variety of research and/or laboratory tasks and experiments ... Analyzes data and records the results and conclusions of laboratory experiments. Interprets ...

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Postdoctoral Data Scientist information

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How much do postdoctoral data scientist jobs pay per year?

As of Jul 11, 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 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.

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.
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:
Postdoctoral Research Associate in Computational Chemistry and Data Science

Postdoctoral Research Associate in Computational Chemistry and Data Science

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 105 rated laboratories


Job description

Description
Job Title Postdoctoral Research Associate in Computational Chemistry and Data Science
Location Los Alamos, NM, US
Organization Name T-DO/THEORETICAL
Minimum Salary
Maximum Salary
What You Will Do
The Physics and Chemistry of Materials group and the Quantum and Condensed Matter Physics groups in the Theoretical Division at Los Alamos National Laboratory invite applications for an immediate postdoctoral opening in computational chemistry and data science. The successful candidate will work at the exciting intersection of computational chemistry, machine learning, and kinetic simulations to advance materials design and deepen mechanistic understanding of chemical processes. This opportunity offers the chance to join a vibrant, multidisciplinary research environment that brings together leading theoretical, computational, and experimental expertise to address fundamental scientific questions with real-world applications.
What You Need
Minimum Job Requirements:
Education/Experience : Ph.D. in either theoretical/computational Chemistry, Physics, Physical Chemistry, or related area completed within the last 5 years or to be completed this summer/fall.
Clearance: The selected candidate must be a U.S. citizen and have the ability to obtain and maintain a DOE Q clearance.
The successful candidate should have:
  • Strong knowledge and demonstrated experience in electronic-structure calculations and/or data science/machine leaning as supported by an excellent record of scientific publications.
  • Experience with chemical thermodynamics and kinetics calculations, or computational chemistry for materials design.
  • Experience programming in high-level languages, particularly Python, and experience working in high-performance computing environments.
  • Ability to work creatively and independently while learning from and collaborating with experts as part of a multidisciplinary team.
  • Strong communication and writing skills, as demonstrated by publications, cover letter, and interview.

Desired Qualifications:
In addition to the minimum requirements, the following qualifications are desired, and preference will be given to candidates satisfying ( at least one ) of them:
  • Experience in chemical kinetics codes such as Cantera or RMG, or in running electronic structure calculations using Gaussian 16 code and/or VASP code.
  • Experience in performing high-throughput calculations using high-throughput frameworks (e.g., pyiron, aflow, or pymatgen, etc) and/or using cheminformatics tools (e.g., RDKit).
  • Experience in machine learning for materials discovery including the use of, e.g., Pytorch, Tensorflow, JAX, and machine learning packages for molecular systems (e.g., Chemprop).
  • Experience with high-performance computing, GPU programming, parallel programming, and related paradigms.
  • Willingness to work productively on multiple projects.

Work Environment:
Work Location : The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
Contact one of the project members with questions about this position:
  • Ivana (née Matanovic) Gonzales (ivana@lanl.gov)
  • Wilton Kort-Kamp (kortkamp@lanl.gov)
  • Alex Munoz (alexmunoz@lanl.gov)

To start your application, please upload
  • CV with full publication list
  • a brief statement of research interests and future plans (maximum of one page),
  • the contacts of at least three references.

Review of applications will begin immediately and will continue until the position is filled. The position has an initial appointment of 2 years, with a possible extension for a 3rd year depending on performance and availability of funds.
Candidates may be considered for a fellowship supported by the Center for Nonlinear Studies (CNLS). Outstanding candidates may be considered for a Director's Postdoc Fellowship or for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
Additional information on salary ranges and other benefits can be found online at https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php?source=globalheadernav .
For more information about the Postdoc Program, go to https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in Northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)

Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Incentive Compensation Program: For general program information refer to the Student Programs web page: https://www.lanl.gov/careers/career-options/student-internships/index.php
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by applicable federal, state and local laws and regulations.
The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request a disability accommodation, email applyhelp@lanl.gov or call (505) 664-6947, opt. 3.
Instructions on How to Activate/Create a LANL Jobs Account:
Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage .
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important : Enter the validation code within 15 days to activate your account or your account will be deactivated.

Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Register button if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip : To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.
Employment Status Full Time
Appointment Type Postdoc
Postdoc

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