IT Architect/Data Scientist (Job 1499)

DLH; United States; Remote; USD 180,000 - 190,000; Full time

Benefits offered by this job

PTO

Medical benefits

401(k) with match

Training and certification support

Job summary

DLH is seeking a data engineering lead for a federal healthcare enterprise environment, focusing on cloud architecture, data interoperability, and security engineering for the SCHARE platform and related data environments. You will configure secure cloud, metadata architecture, system integration, API enablement, and ensure compliance with agency cybersecurity and information management regulations.

Collaborate with scientists, IT operations, and stakeholders; design tools for data collection,

Qualifications

• Bachelor’s degree in data science, bioinformatics, or related field; 12+ years IT experience.
• 4+ years leading or performing data engineering or related functions.
• Strong problem decomposition skills and experience manipulating big data.
• Experience working in Agile teams and strong communication skills.

Responsibilities

• Lead data science strategy in support of custom data platform.
• Collaborate with scientists and trainees.
• Support a federal healthcare enterprise environment by collaborating with IT operational service areas in design, development, and testing of solutions.
• Communicate findings, recommendations, and solutions to technical and non-technical stakeholders.
• Design tools for optimizing data collection, validation, and analysis.

Skills

Python

R

MATLAB

Predictive modeling

Pattern recognition

Data mining

Statistics

Big data

Agile

Communication skills

Public Trust clearance

Education

Bachelor’s degree in data science, bioinformatics, or related field

Job description

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that “Your Mission is Our Passion” and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

This role provides support to our client in cloud architecture, data interoperability, and security engineering support for the SCHARE platform and related data environments. This includes secure cloud configuration, metadata architecture, system integration across platforms, API enablement, and compliance with agency and federal government cybersecurity and information management regulations and requirements. The role also supports ATO-related activities in coordination with the agency CIO organization, including preparation of technical artifacts and remediation support, and implementation and maintenance of technical controls, vulnerability remediation, and securing data environments to ensure ongoing compliance.

Responsibilities

• Lead data science strategy in support of custom data platform
• Collaborate with scientists and trainees
• Support a federal healthcare enterprise environment by collaborating with IT operational service areas (server/storage, network, application development) in the design, development, and testing of solutions
• Communicate findings, recommendations, and solutions to both technical and non-technical stakeholders
• Design tools for optimizing data collection, validation, and analysis

Qualifications

• Bachelor’s degree in data science, bioinformatics, or a related field or an equivalent combination of education and experience and appropriate technical certifications, with at least twelve (12) years of experience in information technology and (4) years leading or performing data engineering or related functions.
• This position requires strong problem decomposition skills and experience manipulating big data
• Experience working in Agile teams, and demonstrated communication skills both oral and written
• A deep interest in data science and artificial intelligence
• Advanced experience in predictive modeling and pattern recognition
• Strong background in data mining, statistics, and mathematical modeling
• Proficiency in programming languages such as Python, R, and MATLAB
• Thorough understanding of federal requirements pertaining to data security, especially PII, and PHI
• Must be able to obtain a Public Trust clearance

Basic Compensation: $180,000 - $190,000 yearly salary

The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law.

DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, disability coverage, flexible spending accounts, and more. We want our employees to save for their future; therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.

#LI-REMOTE

EEO

DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply.

DLH is committed to maintaining a fair and authentic interview process

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in DLH ’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.