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Description
Job Title Post-Masters Student in Theoretical Biology and Biophysics
Location Los Alamos, NM, US
Organization Name T-6/Theoretical Biology And Biophysics
Minimum Salary
Maximum Salary
What You Will Do
We are seeking graduate students with an undergraduate degree in biology, mathematics, statistics, physics, computer science or related field to join one of our research teams. We are looking for candidates to join our team in Los Alamos National Laboratory's Theoretical Division (T-Division), in the T-6: Theoretical Biology and Biophysics group. T-Division provides a unique and engaging environment that fosters multi-disciplinary collaborations to support the laboratory's strategic basic research and national security missions.
The Theoretical Biology and Biophysics (T-6) focuses on the modeling of biological systems ranging from macromolecules to populations and the analysis and the integration of heterogenous biological data. T-6 is the oldest theoretical biology group in the world devoted to mathematical modeling and computational analysis of problems in biology, medicine, and biosecurity.
You will work on a research project with a staff scientist mentor and co-mentor in one of the aforementioned areas. The position is expected to begin typically in the summer, but it can begin anytime during the year.
What You Need
Minimum Job Requirements:

• Educational background in Biology, Mathematics, Statistics, Computer Science, Physics, or other relevant STEM disciplines
• Communication: Good communication skills, brainstorming and writing skills are essential, as is working effectively as part of a team.
• Programming Experience: Familiarity with Python, R, or other standard scientific computing languages and the process of assembling modular solutions to complex problems through programming and coding
• Desire to Learn: The desire to continually learn new things, as well as being open to working on a variety of topics.

Education/Experience : M.S. Degree from an accredited program in Biology, Mathematics, Statistics, Computer Science, Physics, or other relevant STEM disciplines completed within the past 3 years with a cumulative GPA of at least a 3.2 on a 4.0 scale.
Desired Qualifications:

• Experience with large-scale data processing
• Experience with high-performance computing and parallel computation
• Experience with mathematical and/or statistical modeling
• Experience with SQL and database queries
• Experience with machine learning and AI methods
• Experience writing scientific papers and reports

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:
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.
When applying, please upload your resume, cover letter, and final transcripts showing proof of degree completion.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. 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.
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 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 such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Employment Status Full Time
Appointment Type GRA
GRA