Job Abstract

The Opportunity:

As an ML engineer in the health sciences, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a ML engineer in the health sciences at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. 

On our team, you’ll use your analytical skills to improve the life sciences industry. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll architect data processing and analytics pipelines for health data and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to unearth novel health trends and support clinicians and researchers to make informed decisions. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Work with us as we use AI/ML for good.

Join us. The world can’t wait.

You Have:?? 

• 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 
• 2+ years of experience with statistical and general-purpose programming languages for data analysis, including Python or R
• 2+ years of experience with analyzing structured and unstructured data sources
• Experience with developing predictive data models, quantitative analyses, and visualization of targeted data sources
• Experience with advanced AI and Machine Learning (ML) techniques, including deep learning and generative models
• Experience with AI Chat bots, Retrieval Augmented Generation (RAG), and Large Language Models (LLM) monitoring tools and metrics
• Ability to obtain a security clearance
• Bachelor’s degree

Nice If You Have:?? 

• Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
• Experience with Cloud-based environments, including AWS, GCP, or Azure
• Experience with machine learning libraries, including TensorFlow or PyTorch
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Experience with genomics data analysis, clinical data, and public health surveillance
• Ability to work independently
• Ability to communicate and present complex concepts clearly

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

? 

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time.

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.

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.

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.