To our valued Leidos candidates:

Coronavirus is on everyone's mind with the effects being felt around the world. The markets are volatile, and we're all concerned for the health and safety of our families, friends, and colleagues. Please know that we're taking all necessary measures to safeguard our employees, customers and the communities in which we live, including following all recommended best practices around social distancing.

With that in mind, in an abundance of caution, we are canceling all face to face career events, such as job fairs and open house events. In the coming days and weeks, we will be hosting career events virtually, using our online chat tools so that we may continue our hiring practice safely and securely. You can find available virtual career events at https://career-events.leidos.com.

We are using telephone meetings and online chats via Brazen to conduct interviews and hiring discussions, and we are offering options for video interviews so that you can have a virtual face to face meeting with your potential new leader. We do not conduct interviews or extend offers via text or chat based social media, such as WhatsApp or MySpace.

Leidos will never ask you to provide payment-related information at any part of the employment application process, nor will Leidos ever advance money as part of the hiring process. And Leidos will communicate with you only through emails that are generated by Leidos.com automated system. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to Chris Scalia, Leidos’ Senior Vice President of Talent Acquisition, at [email protected].

As a company, as a country, as a world, we have confronted challenging moments before. We are confident that, guided by our values and the strength of our community as well as the commitment we have to the important work we do each day, we will find our way through this time together. We will do this with the care and concern for one another and the common good that defines. Please keep those impacted by the virus in your thoughts.

Close Window
Join our talent network

Job #: R-00074752
Location: San Diego, CA
Category: Data Scientist
Schedule (FT/PT): Full Time
Travel Required: Yes, 10% of the time
Shift: Day
Potential for Telework: Yes, 25%
Clearance: Secret
Referral Eligibility: Eligible
Referral Bonus Amount: $2,000
Group: Health

This job posting is no longer active.

Share: mail twitter linkedin

Description

Job Description:

The Leidos Military & Veterans Solutions Health Group is currently seeking a full-time research Data Scientist to support the Warfighter Performance Department at the Naval Health Research Center in San Diego, CA. This position will support the Sleep, Tactical Efficiency, and Endurance Laboratory (STEEL) with data management, data analysis, and coding for research studies aimed at improving warfighter performance.

This position will be responsible for the design and development of methods, processes, and systems to consolidate and analyze structured and unstructured, diverse, and large data sets from disparate sources. This position will work closely and collaboratively with Principal Investigators, project managers, research assistants, and subject matter experts to accomplish research aims. They will develop and use advanced statistical concepts, algorithms, querying, and automated processes to clean, model, integrate and evaluate complex datasets for practical application. The ideal candidate should be familiar with the principals of related disciplines such as Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing. Identifies meaningful insights, and interprets and communicates findings and recommendations. May develop information tools, algorithms, dashboards, and queries to monitor and improve on research processes. Maintains awareness of emerging analytics and big-data technologies.

The ideal candidate will be motivated, detail-oriented, able to take initiative, and work well both independently and as part of a team. The ideal candidate should have a deep interest in cultivating best practices in programming (e.g., writing efficient, function-driven code; experience using the Tidyverse, and some understanding of the principles behind its philosophy) and maintaining complicated project structures. Proficiency in using R is strongly preferred (but Python and Julia would also be valuable). An aesthetic appreciation for what good code looks like is also a big plus. Experience working with various data types (such as data from surveys, devices, physiological wearables, computer-based tasks, etc.) is required. Must be able to model the Leidos Mission, Vision, and Values at all times.  

Primary Responsibilities

Specifically, the candidate will be required to:

  • Develop technical solutions that require collaboration with internal experts (e.g., Principal Investigators, scientists, and other members of the research team), deep analyses and understanding of impact on end-product/solution.

  • Build and maintain an automated data pipeline for data ingestion, pre-processing, extraction, cleaning, and storing for later analyses. Converge data from multiple and diverse sources.

  • Refine research methodology, construct databases, provide coding and programming expertise for research studies, apply statistical methods, and interpret results to answer study questions.

  • Access various secondary data sources to extract relevant data and construct comprehensive, project-specific datasets.

  • Lead data management processes, including data verification, cleaning, quality assurance, and merging.

  • Perform data manipulations and transformation on raw data using R to create analytics-friendly datasets for research projects (e.g., tidy datasets). Additional experience with Python or Julia would also be desirable.

  • Maintain and update documentation on all processes and procedures, including data dictionaries and codebooks.

  • Conduct statistical analyses using R (primarily, but Python and Julia would also be desirable). Familiarity with a broad range of statistical techniques, to include traditional (e.g., logistic regression, standard least squares regression, analysis of variance, etc.) and machine learning techniques (e.g., random forest, CART, etc.). Experience with more specific kinds of techniques, such as survival analysis, equivalence testing, structural equation modeling, Monte Carlo simulation, Bayesian analysis, among others, would be highly desirable.

  • Develop statistical plans for research proposals and research protocols, determining appropriate subject numbers required for successful study completion.

  • Contribute to the preparation of study deliverables, presentations, reports, and publications.

  • Develop custom visualizations for presenting data to stakeholders using software tools (e.g., ggplot, etc.)

Basic Qualifications

  • Master’s Degree in Statistics, Mathematics, Biostatistics, Computer Science, Bioinformatics, or other quantitative field.

  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

  • 2 or more years of experience with coding and programming for research studies.

  • 2 or more years of experience in conducting statistical analyses for human subjects research projects.

  • Experience in literate programming practices (e.g., using R Markdown to produce reproducible reports with embedded code; automating this process).

  • A drive to learn and master new technologies and techniques.

  • Must be a U.S. Citizen and able to obtain a Secret Clearance.

  • Able to travel locally, nationally, and internationally as needed for meetings and conferences.

Preferred Qualifications

  • 3 or more years’ experience in programming, coding, and conducting statistical analyses for human subjects research projects.

  • Coding knowledge and experience with several languages: C, C++, Java, Python, or Julia for research projects.

  • Experience in research with military populations.

  • Active Secret clearance.

Naval Health West - NHW

Pay Range:

Covid Guidance

In order to enter Leidos facilities in the U.S. and to attend Leidos events outside our facilities, employees are required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry. In addition, we are receiving guidance from certain customers that onsite contractor personnel will need to be fully vaccinated to access customer facilities. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your Talent Acquisition POC. 

About Leidos

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $13.7 billion for the fiscal year ended December 31, 2021. For more information, visit www.Leidos.com.

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.

Securing Your Data

Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected].

Commitment to Diversity

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, 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.

This job posting is no longer active.

Talent Community

Join our Talent Community to create a profile, enabling a streamlined application process and to help our recruiters better understand your areas of expertise and interest.

Join our Talent Community