Senior Genomic Data Scientist

at  DLH

ABOUT US

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. With over 3,200 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

POSITION SUMMARY:

The Senior Genomic Data Scientist will assist in the creation and maintenance of research databases that will directly support the overall function and mission of the National Institute on Aging (NIA). You will combine genomic and computational biology knowledge with programming, data warehousing, and quantitative problem solving with data analysis. You will design and implement solutions and corresponding data architectures to address NIA needs. You will work collaboratively with both the IT team and other lab resources to develop a repository of genetic data and the informatics infrastructure in support of the National Institute of Aging research projects while ensuring we adhere to the NIH Genomic Data Sharing Policy.

REQUIRED QUALIFICATIONS:

• Degree in Biomedical Sciences, Genomics, Bioinformatics, Molecular Biology, or other healthcare related technical discipline.
• 8+ years of relevant, applicable professional experience such as but not limited to data management, including data modeling, ontology engineering, metadata management and health data standards.
• Utilize tools & data formats related to gene expression, enrichment analysis, genetic, genomic, or epigenetic data such as encountered when analyzing high-throughput transcriptomic, whole exome, whole genome, whole methylome, GWAS, or targeted resequencing data, and ensure compliance with ethical and regulatory standards.
• Experience with genomics and bioinformatics with a statistics and statistical analysis of data, machine learning algorithms or general algorithm development and knowledge of molecular biology techniques.
• Experience with data discovery to take an unknown data set and extract meaningful data, performing data acquisition, data cleansing and other data preparation tasks.
• Excellent problem-solving and analytical skills.
• Experience with next-generation sequencing (NGS) technologies.
• Familiarity with statistical analysis and data visualization.
• Advanced knowledge and expertise in supporting scientific researchers and their specialized systems and equipment with a willingness to stay current with advancements in the genomics field.
• Experienced software developer with multiple programming languages such as but not limited to R, Python, SAS, MATLAB as well as experience with genomic data analysis tools and software.
• Ability to interpret and present complex scientific data and to express complex concepts in a clear, easy-to-understand manner with various levels of users and in face-to-face interactions as well as in writing.
• Very strong interpersonal, customer service, result-oriented, and team-building skills are essential with a strong attention to detail and accuracy.
• Ability to manage multiple projects and meet deadlines.
• Knowledge of ethical and regulatory standards in genomics research.
• Experience with laboratory information management systems (LIMS).
• Strong publication record in peer-reviewed journals.

DESIRED SKILLS:

• Experience supporting a hospital/clinical research laboratory environment
• Experience supporting a governmental research laboratory environment
• Experience supporting a medical research laboratory environment
• Experience supporting Scientific Instrument Controllers
• Structuring data storage technologies including relational and/or NoSQL
• Using version control systems such as Git and/or GitHub, & software project management systems such as Jira.
• Java, Python, and /or R certification
• Linux Professional Institute LPIC-2 or LPCI-3 certification
  Basic Compensation: $155,000.00 -$ 170,000.00 yearly salary
  The salary offered within this range will be based on the selected candidates’ skills, experience, education, market data, and internal parity. DLH may offer other rewards that may include performance incentives and program-specific awards. An applicant’s salary history will not be used to determine compensation.
  Benefits: DLH Corp offers our employees an excellent benefits package including - Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, short and long-term disability, flexible spending accounts, parental leave, legal services 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.

• Develop overall technical approach for acquiring, validating, integrating, organizing, annotating, and maintaining the research data to populate dynamic research datasets and repositories.
• Collaborate with muti-disciplinary teams from across laboratories to design and execute technical studies.
• Assist scientists with programming in modern languages such as Java and Python, as well as help to convert legacy codes into massively parallel codes written for GPU using CUDA, RAPIDS or GPU accelerated and/or Python or R programming
• Works closely with Scientific Director, Clinical Directors, scientific steering committee and others to provide scientific guidance, help define project requirements and monitor project progress.
• Work closely with the NIA IT department, and third-party vendors on hardware and software issues.
• Develop computational tools and approaches to organize, analyze and visualize data from genomic sciences and genomic medicine research as well as wrangle, manage, & leverage large datasets such as patient cohorts & public data repositories.
• Analyze large-scale genomic datasets and develop and implement bioinformatics tools and pipelines.
• Engineer, maintain, & improve upon pipeline code base for bioinformatics processing & analysis of various genomics data types as well as facilitate internal & external data availability to bioinformaticians and developers.
• Enable code reuse across different Linux environments/computing architecture deployed across research sites.
• Develop & maintain structured data repositories for semi-automated computational reassessment & record keeping.
• Leverage bioinformatics & genomics data knowledge to gather requirements from stakeholders & collect feedback for continued development & support.
• Interface with research-serving IT specialists to assure availability of appropriate HPC resources (compute, storage, networking) while structuring data storage technologies including relational and/or NoSQL.
• Collaborate with cross-functional teams on research projects and with external partners and institutions while contributing to the strategic planning of research projects.
• Interpret and communicate complex scientific data while maintaining accurate and detailed laboratory records and performing quality control and data validation.
• Develop and validate new genomic techniques and stay current with advancements in genomics and related fields.
• Engage in effective communications with stakeholders & other team members via asynchronous collaboration tools (e.g. Microsoft Teams).
• Other responsibilities not listed.