Scientific Computing Engineer
Key Role:
Perform highly complex analysis, design, development, testing, and debugging of distributed and hardware-accelerated computational pipelines to support big data analytics, specifically biomedical research. Develop and apply advanced methods, theories, and research techniques in the investigation and solution of complex and advanced software applications and problems. Plan and conduct major technical phases of significant projects by coordinating the efforts of technical support staff and the performance of assigned projects. Review completion and implementation of technical products and evaluate vendor capabilities. Work with little supervision and assist in training less experienced engineers and data scientists.
Basic Qualifications:
3+ years of experience within data engineering, data research, machine learning engineering, or data science
Experience with machine learning algorithms, statistics, or large-scale data analytical methods
Experience with designing, developing, and supporting solutions for managing scientific data and tools
Experience with high-performance computing
Knowledge of common scientific data analysis programming languages, including Python, R, or Perl
Ability to obtain a security clearance
Bachelor's degree
Additional Qualifications:
Experience with Cloud computing infrastructure and tools, including AWS, Google Cloud, or Azure
Experience with HPC job schedulers, including SLURM, Grid Engine, or Moab and TORQUE
Experience with container technologies, including Docker
Experience with using Agile practices
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $73,100.00 to $166,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
