Post-Baccalaureate Science and Engineering Research Intern - Military Veterans

Job Title Post-Baccalaureate Science and Engineering Research Intern
Location Los Alamos, NM, US
Organization Name 36A10C
Minimum Salary
Maximum Salary
What You Will Do

Come join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security. The Information Sciences and Modeling Group (A-1) develops information systems and models to understand complicated threat scenarios, like weapons of mass destruction, hurricanes, and infectious disease outbreaks. The work we do at Los Alamos National Laboratory (LANL) matters to our country and the world.

We are seeking a post-baccalaureate student with a degree in a STEM field to join our Data Analytics team. The Data Analytics Team performs basic and applied research focused on infectious disease modeling and forecasting, political instability modeling and forecasting, predictive analytics for national security applications, and large-scale data analytics. Our expertise covers statistics, machine learning, dynamical systems, graph theory, agent-based simulations, and data analytics. We ensure the scientific and technological validity of our approaches by working closely with physicists, mathematicians, statisticians, computer scientists, economists, remote sensing scientists, political scientists, and public health officials through interdisciplinary collaborations. The student will partner with an experienced mentor who will provide guidance and feedback and work closely with a team of scientists in supporting various projects throughout the course of the year-around internship.

What You Need

Minimum Job Requirements:

• Educational background in Computer Science, Software Engineering, Data Science, or related field.
• Communication: Good oral and written communication skills.
• Programming Experience: Working knowledge of Python.
• Continuous Learning: Demonstrated ability to continually learn new things, as well as being open to working on a variety of topics.
• Environment: Ability to work both independently and collaboratively within a team environment.

Education Requirements:

Must have been awarded a bachelor's degree in computer science, software engineering, data science or related field within the past three years but not yet accepted and enrolled in a graduate program. Must have a minimum cumulative GPA of 3.0 on a 4.0 scale, or its equivalent, on the last bachelor's degree earned.

Desired Qualifications:

• Experience with large-scale data processing
• Experience with machine learning
• Familiarity with high-performance computing and parallel computation
• Familiarity with agent-based modeling
• Familiarity analyzing and/or interpreting disease-related data

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. Some flexibility to work-from-home may be considered.

Note to Applicant:

• When applying, please upload your resume, cover letter, and final transcripts showing proof of degree completion.
• Eligibility for a Q clearance, which requires U.S. citizenship, is desired but not required.

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 and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, 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 federal 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 such an accommodation, please send an email to applyhelp@lanl.gov or call 1-505-665-4444 option 1.

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 UGS
UGS