AI Analyst (Temporary – Part-Time)

BioSpace; United States; Remote; USD 65,000 - 93,000; Part time

Job summary

Frederick National Laboratory is seeking a part-time student researcher to design and evaluate AI-driven solutions for biomedical research and operations. The role emphasizes prototyping tools that enhance scientific understanding and efficiency, with telework options within the United States.

Strong Python skills, Unix/Linux experience, and knowledge of AI/ML concepts are required. Excellent communication and the ability to learn new technologies quickly are essential.

Qualifications

• Strong programming skills in Python and related tools.
• Familiarity with Unix/Linux environments and scripting.
• Knowledge of AI/ML concepts, including LLMs and prompts.
• Experience in automation and workflow development.
• Excellent written and verbal communication; ability to work independently.

Responsibilities

• Work independently to design, develop and evaluate AI solutions for scientific/operational needs.
• Prototype and deploy tools that advance scientific understanding and improve efficiency.

Skills

Python

Unix/Linux

AI/ML concepts

Automation

Communication

Independent work

Security clearance

Education

Undergraduate/Graduate student

Job description

Job ID: req4721

Employee Type: exempt part-time

Division: Bioinformatics and Computational Science

Facility: Telework: US

Location: USA

The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.

Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.

This is a temporary, part-time position working up to 19 hours per week. The initial appointment is expected to be for a limited duration, with the possibility of extension based on program needs and continued funding.

Program Description

The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. With leading science and technology, the laboratory performs basic research and supports clinical trials and drug development. Frederick National Laboratory develops and applies next-generation technologies to solve applied problems, while also serving as a national resource of high-tech facilities and effectively responding to emerging health threats.

The Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software.

The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research.

Key Roles/Responsibilities

• Work independently to design, develop and evaluate solutions using artificial intelligence for scientific and operational needs with the Frederick National Lab.


• Work on real-world applications of generative AI, automation and software engineering, helping to prototype and deploy tools that advance scientific understanding and improve operational efficiency.

Basis Qualifications

Other duties as required

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Must be a current undergraduate or graduate student at an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in areas related to life science, computer science, data science, or biomedical informatics.


• Strong programming skills with experience in Python


• Experience with the Unix/Linux environments, including command-line tools and shell scripting


• Familiarity with AI/ML concepts, specifically large language models (LLMs), prompt-engineering and AI-assisted workflows


• Experience in automation and developing workflows to improve efficiency


• Ability to quickly learn and evaluate new AI tools, frameworks and technologies


• Self-motivated and enthusiastic about exploring and learning new technologies


• Excellent written and verbal communication skills


• Ability to work independently with minimal day-to-day supervision


• Ability to obtain and maintain a security clearance

No Work Experience Required

• Strong programming skills with experience in Python


• Experience with the Unix/Linux environments, including command-line tools and shell scripting


• Familiarity with AI/ML concepts, specifically large language models (LLMs), prompt-engineering and AI-assisted workflows


• Experience in automation and developing workflows to improve efficiency


• Ability to quickly learn and evaluate new AI tools, frameworks and technologies


• Self-motivated and enthusiastic about exploring and learning new technologies


• Excellent written and verbal communication skills


• Ability to work independently with minimal day-to-day supervision


• Ability to obtain and maintain a security clearance

Preferred Qualifications

Candidates with these desired skills will be given preferential consideration:

• Graduate students preferred with degree in computational sciences, or data sciences


• Proven experience with application of machine learning / deep learning / LLMs


• Experience with open-weight LLMs


• Experience using high performance computing clusters


• Knowledge of security and responsible AI practices


• Previous project or research experience with software development


• Commitment to Non-Discrimination


• All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here

65,000.00 - 93,100.00 USD

The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data.

The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions