SierTek Ltd. is seeking Clinical Data Analyst to support an opportunity at C-STARS Baltimore, located at R Adams Cowley Shock Trauma Center, in the University of Maryland Medical Center; (On-Site)
The 711th Human Performance Wing (711 HPW), headquartered at Wright-Patterson Air Force Base in Ohio, is the first human-centric warfare wing to consolidate human performance research, education and consultation under a single organization. Established under the Air Force Research Laboratory, the 711 HPW is comprised of the Airman Systems Directorate (RH) and the United States Air Force School of Aerospace Medicine (USAFSAM). The Wing delivers unparalleled capability to the Air Force through a combination of world class infrastructure and expertise of its diverse workforce of military, civilian and contractor personnel encompassing 75 occupational specialties including science and engineering, occupational health and safety, medical professions, technicians, educators, and business operations and support.
711 HPW advances human performance in air, space, and cyberspace through research, education, and consultation. The Wing supports the most critical United States Air Force (USAF) resource - the operational military forces. The En Route Care Section is seeking a Clinical Data Analyst contractor to support our mission.
As a Clinical Data Analyst, you will play a vital role in supporting the analysis and interpretation of clinical data to drive evidence-based decision-making and improve USAF processes and outcomes. You will be responsible for organizing and analyzing large volumes of healthcare data from diverse sources such as electronic health records (EHRs), vital sign databases, clinical trials, and other health information systems.
Essential Job Functions
Data Collection and Cleaning: Gather and extract clinical data from various sources, ensuring data accuracy and integrity. Clean, transform, and normalize data for analysis purposes.
Data Analysis and Interpretation: Utilize statistical techniques and data mining methodologies to analyze complex clinical datasets. Identify trends, patterns, and correlations within the data to derive meaningful insights and actionable recommendations.
Write scripts to integrate data, conduct exploratory data analysis to discover hidden trends, apply machine learning to train predictive models, and use the right combination of tools and frameworks to turn complex sets of disparate data points into objective answers that inform decisions.
Utilize statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning as needed.
Biostatistical Research Support: Collaborate with researchers and clinicians to provide analytical support for clinical studies and research projects. Assist in study design, sample size estimation, data collection methods, and statistical analysis plans.
Data Visualization and Reporting: Create clear and concise visualizations, reports, and dashboards to communicate data-driven insights to investigators. Present findings in a compelling manner, tailored to the target audience. Generate publication quality graphs and write associated manuscript sections to describe methodology and results in detail for inclusion in scientific publications. Clear and effective communication results in writing and in oral presentations.
Quality Assurance: Ensure the accuracy and reliability of clinical data by conducting quality assurance checks and implementing data validation procedures. Identify and resolve data discrepancies or anomalies.
Compliance and Data Privacy: Adhere to regulatory requirements and maintain strict confidentiality of patient health information (PHI) in accordance with privacy laws and ethical guidelines such as HIPAA.
Continuous Improvement: Stay abreast of industry trends, advancements in data analytics methodologies, and emerging technologies. Explore opportunities to enhance data collection, analysis, and reporting processes. Review scientific publications and literature to validate theories and models.
Teamwork: Collaborate with multi-disciplinary teams (including university and USAF personnel) to design and execute technical studies across a variety of domains. Work independently and collaboratively in a team environment.
Minimum Position Requirements
Possess a Master's degree in a relevant field (Health Informatics, Biostatistics, Epidemiology, Data Science).
Minimum of at least 2+ years of demonstrated experience in a professional work environment in the fields of health informatics, biostatistics, and/or data analytics with a focus on clinical data.
Extensive background in biological data analysis, with a specific focus in clinical datasets.
Demonstrated experience with data visualization tools (i.e. Tableau) and techniques to develop and deliver impactful data models and data visualizations.
Demonstrated experience with querying or analyzing data to answer questions and solve problems and familiarity with different databases, with required experience in REDCap (Research Electronic Data Capture).
Exhibit proficiency in data analysis and statistical software including SigmaPlot (Systat), R, Python, SAS, Matlab, SQL, and other relevant programming environments.
Experience with statistics and statistical analysis of data, machine learning algorithms, and general algorithm development.
Strong analytical skills with the ability to work with a variety of large and complex datasets including (but not limited to) basic research datasets and clinical data.
Experience working with electronic medical records.
Minimum of one first author manuscript in a peer-reviewed journal on a study directly analyzing statistical differences in clinical variables.
Possess excellent communication skills, both written and verbal, to effectively convey complex findings to non-technical stakeholders.
Possess strong attention to detail, problem-solving abilities, and the capacity to work independently and collaboratively in a team environment.
Possess proficiency with Microsoft software programs.
Signed Non-Disclosure Agreement (NDA) in place. This is based on the potential access to confidential, proprietary, and/or sensitive information.
Successfully able to pass a Tier I background check.
United States Citizen
SierTeK is an equal opportunity employer and values diversity. Employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.
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