Machine Learning Biologist or Health Scientist

Machine Learning Biologist or Health Scientist

Key Role: 

Provide science and technology advisory support to our clients in health research and development (R&D), including the Advanced Research Projects Agency – Health (ARPA-H).  Support programs related to the application of data science and machine learning techniques to the field of aging, biology, or healthcare. Apply scientific and engineering subject matter to help conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. Characterize the state of a technical field, including identifying state-of-the-art technologies and promising new approaches. Perform analyses to recommend ambitious technology performance and cost targets that are on the cutting-edge of what might be achievable. Identify key technical experts across academia, industry, and national labs, perform technical outreach, and facilitate the formation of new multi-disciplinary technical communities. Review highly technical proposals and support negotiations of selected projects, including advising on project plans and technical milestones for complex R&D projects. Perform direct and periodic technical oversight of the project portfolio, from set-up to close-out and assist the client with managing projects to achieve clear and compelling outcomes.  

Basic Qualifications:  

• 3+ years of experience with post-doctorate research applying data science and machine learning techniques in the field of aging, biology, or healthcare, including publications or in-depth work
• Experience in statistical and machine learning techniques for high-dimensional data analysis
• Experience in training and developing machine learning models, including addressing challenges with data quality and variability
• Experience with longitudinal cohort studies or clinical trial data analysis  
• Experience with biomarker discovery using omics
• Knowledge of programming languages used in bioinformatics such as R or Python
• Knowledge of high throughput screens and -omics analysis 
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements 
• Doctorate degree in Biology, Biochemistry, Pharmacology, Bioinformatics, Public Health, Computer Science, or Machine Learning 

Additional Qualifications:

• Experience in supporting an Advanced Research Projects Agency (ARPA) organization such as DARPA, IARPA, ARPA-E, or ARPA-H
• Experience in searching across multiple databases, data repositories, web portals, search engines, and scientific journal platforms 
• Experience in a consulting environment and with visualization techniques, tools, and data analytics 
• Knowledge of aging biology, healthspan metrics, biomarkers, and application of AI in electronic health records
• Ability to develop and convey meaningful insights, significant contributions, and recommendations to address complex client issues 
• Ability to learn, grow, and develop new skill sets 
• Ability to display creativity and resourcefulness 
• Ability to ask insightful questions that challenge traditional thinking  
• Possession of excellent data gathering, analytical, problem-solving, and client service skills
• Possession of excellent verbal and written communication skills

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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 $96,600.00 to $220,000.00 (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. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

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.