Health Data Scientist

Health Data Scientist The Opportunity: As a health data scientist, you relish the task of unlocking the secrets within a data set, and you are captivated by the prospects of the Internet of Things (IoT), machine learning, and artificial intelligence. In our increasingly connected world, vast amounts of structured and unstructured data herald new opportunities. As a health data scientist at Booz Allen, you can help convert these complex data sets into useful information to solve worldwide challenges. From private to public sectors - from detecting fraud to researching cancer to national intelligence - we need you to help find the answers within the data. In our team, you will use your leadership abilities and data science expertise to make a palpable impact. You will work closely with clients to understand their queries and needs, before delving into their data-rich surroundings to find the pieces of their information puzzle. You will guide team members and lead the development of algorithms and systems. You will use the right combination of tools and frameworks to transform disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you will provide a deep understanding of the data, its interpretation, and its potential applications. Work with us as we use data science for good. Join us. The world can’t wait. You Have: - 4+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining - 4+ years of experience with statistical and general-purpose programming languages for data analysis, such as Python or R - 4+ years of experience with the analysis of structured and unstructured data sources - Experience with the development of predictive data models, quantitative analyses, and the visualization of targeted data sources - Experience with advanced AI and ML techniques, such as deep learning and generative models - Experience with next-generation sequencing, genomics data analysis, and common open-source genomics analysis tools and workflows - Experience with clinical and environmental microbiology - Experience with epidemiology and public health surveillance - Ability to obtain a security clearance - Bachelor’s degree Nice If You Have: - Experience with leading the development of solutions to complex programs - Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL - Experience with conducting large-scale data analyses in Cloud-based environments, such as AWS, GCP, or Azure - Experience with distributed data and computing tools, like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL - Experience with visualization packages, like Plotly, Seaborn, or ggplot2 - Ability to work independently and manage the work of others - Ability to communicate complex concepts clearly and concisely - Ability to write white papers and scientific and technical manuscripts for publication - Secret clearance - Master's degree in Quantitative Life or Health Sciences 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 means a lot to us - that's why we offer a variety of options for you to advance your career. With professional and leadership development opportunities such as upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and satisfying career path on your own terms. A Place Where You Belong: Diverse perspectives foster collective ingenuity. Booz Allen's culture of respect, equity, and opportunity means that you can feel free to be yourself at 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 work towards a balanced, fulfilling life both at work and at home. Your Candidate Journey: At Booz Allen, we understand that our people propel us forward, and relationships are at the heart of everything we do. We've compiled a list of resources so that you know what to expect throughout your journey as a candidate with us. Compensation: At Booz Allen, we celebrate your contributions, give you opportunities and choices, and support your complete well-being. We offer 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 remarkable performance and excellent demonstration of our values. Full-time and part-time employees consistently working at least 20 hours a week are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet this threshold are eligible only for certain offerings, exclusive of health benefits. For more info on our total benefits, visit the Resource page on our Careers site and review Our Employee Benefits page. The projected compensation range for this position is $73,100.00 to $166,000.00 annually (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 accentuates the advantages of flexibility and collaboration, whether that occurs in person or remotely. - If this position is listed as remote or hybrid, you will periodically work from a Booz Allen or client site facility. - If this position is listed as onsite, you will work with peers and clients in person, as necessary for the specific role. EEO Commitment: We are an equal employment opportunity/affirmative action employer empowering our people to boldly 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.