Bioinformatics Analyst III (AI), MDPL, CGR

Bioinformatics Analyst III (AI), MDPL, CGR

Job ID: req4291
Employee Type: exempt full-time
Division: Clinical Research Program
Facility: Rockville: 9615 MedCtrDr
Location: 9615 Medical Center Drive, Rockville, MD 20850 USA

The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.

Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.

PROGRAM DESCRIPTION

The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world’s most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Rockville, MD and operated by Leidos Biomedical Research, Inc. We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of the 70 principal investigators (PIs) in DCEG. Working in concert with epidemiologists, biostatisticians and basic research scientists in DCEG’s intramural research program, CGR provides the capacity to conduct genome-wide discovery studies and targeted regional approaches to identify the heritable determinants of various forms of cancer. Within CGR, the Molecular and Digital Pathology Laboratory (MDPL) is dedicated to the support of genetic and epidemiologic studies for DCEG investigators through tissue profiling and image analysis. This includes the design and analysis of high throughput molecular epidemiologic studies using various types of “omics” technologies such as AI-based histomics, proteomics (immunohistochemistry, multiplex immunofluorescence, digital spatial profiling), and somatic genomic analyses. We are seeking a highly motivated bioinformatics analyst to provide dedicated statistical support and AI model development to support large-scale epidemiological research on cancer etiology and progression through integrative analyses of risk factors and image analysis to inform prevention and clinical strategies.

KEY ROLES/RESPONSIBILITIES

• Coordinate with existing laboratory, project management and analytical staff to track study progress from conception (developing analytical plans and study protocols) through completion (preparation of summary reports for presentation and publication).
• Execute statistical and AI efforts of epidemiologic, pathological and clinical image-based data.
• Accurately maintain thorough documentation and version control of data management activities (data cleaning, harmonization, and statistical analysis).
• Document all analyses and pipelines used in support of reproducible and FAIR research.
• Meet expected schedules and performance expectations in a fast-paced research laboratory environment.
• Support a culture of continuous improvement and accountability; contribute to troubleshooting of issues associated with assay processing.

BASIC QUALIFICATIONS

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Possession of a Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in genetics, genomics, bioinformatics, biostatistics, computer science, computational biology or another related field or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S equivalency.
• In addition to educational requirements, a minimum of five (5) years of progressively responsible related analytical or bioinformatics pipeline development experience.
• Strong analytical skills and experience with statistical software applications used in public health research, such as Stata and/or R, Python, C (please indicate relevant software applications and degree of proficiency).
• Demonstrable shell scripting skills (e.g., bash, awk, sed).
• Experience working in a Linux environment (especially a HPC environment or cloud).
• Experience with AI model development and validation.
• Experience with risk estimation and/or prediction models using AI.
• Experience with image analysis software such as Halo, QuPath, Visiopharm, Definiens, etc. (please indicate relevant software applications and level of proficiency).
• Experience in the application of artificial intelligence (machine learning or deep learning) to pathology and clinical image analysis.
• Careful attention to detail.
• Collaborative, team-oriented approach to solving problems and achieving goals.
• Strong organization skills, ability to multitask and manage time effectively.
• Excellent communication skills (verbal and written).
• Ability to obtain and maintain a security clearance.

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

• Master’s degree in epidemiology, public health, data science, biostatistics, or a related field.
• Familiarity with eLN and/or LIMS systems for sample and workflow tracking.
• Proficiency with core statistical and bioinformatics methods (linear regression, logistic regression, eQTL analysis, LDscore regression, credible set and colocalization analysis, etc.).
• Knowledge of DevOps tools and technologies, such as Docker/Singularity, GitHub for code management.
• Team-oriented with demonstrated ability to self-educate in current bioinformatics techniques and resources.
• Ability to multi-task in a fast-paced environment, organize and execute multiple projects in parallel both independently and as part of working groups.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, 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.

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

109,600.00 - 188,250.00

The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data.

The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions.