Job Title
Bioinformatics Scientist II
Location
ABERDEEN PROVING GROUND, MD 21005 US (Primary)
Category
Scientist
Job Type
Full-Time
Compensation Minimum (USD)
$84,000
Compensation Maximum (USD)
$102,000
Education
Master's Degree
Minimum Citizenship Status Required
U.S. Citizen
Security Clearance Required
Secret
Job Description
- Employment Category: Full Time / Exempt
- Location: Aberdeen Proving Ground (APG), MD,
- Travel: Minimal
- Security Clearance: DoD Secret Eligible, Active clearance preferred.
- Citizenship: Must be a U.S. Citizen
Responsibilities:The Bioinformatics Scientist will applyexperience analyzing multi-omics data sets to support innovative chemical and biological defense projects. The selected candidate will develop and run data analysis pipelines for mass spectrometry-based data using classical and machine learning approaches. The role involves handling a wide variety of data collected from high-resolution, triple quadrupole, and miniaturized mass spectrometer platforms.
Under the guidance of senior professionals, the individual will perform tasks encompassing the development, testing, and evaluation of data analysis workflows for complex chemical and biological datasets. The candidate will contribute to advancing chemical and biological research that drives innovation to out-pace emerging threats while simultaneously providing modern solutions.
This is a fully On-Site Position at our Edgewood, Maryland facility.
- Collaborate with interdisciplinary teams to analyze and interpret mass spectrometry data and publish findings.
- Develop and run data analysis pipelines for both targeted and untargeted (Data Independent and Data Dependent acquisitions) data from proteomic, metabolomic, lipidomic, phosphoproteomic, and small molecule characterization experiments.
- Properly incorporate Quality Control (QC) and normalization strategies for mass spectrometry data.
- Apply appropriate statistical analyses and provide downstream interpretation of data through pathway enrichment analyses and data visualization.
- Use strong experience in scripting languages (Python, R), BASH, and High-Performance Computing (HPC) cluster environments to implement and execute workflows.
- Collaborate with academic and industry partners to test and refine analysis methods and biological systems in diverse environments.
- Perform research to develop novel analysis methods and models to support tools with the latest advancements in mass spectrometry bioinformatics.
- Develop and implement dashboards or other graphical user interfaces for data visualization and interpretation and presentation of research products.
- Remain current on related subjects in the literature and news.
- Assist with the preparation of reports, journal articles, and presentations.
Education:- Master's degree in computational biology, bioinformatics, or a related field
- Bachelor's degree in a relevant field with additional experience in a computational research lab environment will be considered.
Compensation & Benefits:- Pay: From $84K - $102K per year based on education, experience, and qualifications
- Schedule: 40 hours per week
- 401K with up to 4% employer matching contribution
- 2 weeks (80 hrs/year) Paid Time Off (PTO), Federal holidays, and Sick Leave
- Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability
Job Requirements
- U.S. Citizen eligible for a DoD security clearance
- Must be capable of working normal hours onsite
- 3 years of experience (with MS degree) in a computational research lab environment
- Strong coding experience and hands-on application of data science techniques to biological problems and a demonstrated ability to translate complex statistical and data science outputs into clear technical conclusions
- Able to handle a wide variety of mass spectrometry-based data collected from high-resolution, triple quadrupole, and miniaturized mass spectrometer platforms
- Strong experience in scripting languages (Python, R), BASH, and HPC cluster utilization and workflow implementation; proficiency in software packages for data analysis and visualization; and machine learning software and tools
- Strong background with software development approaches such as agile, git, and/or DevSecOps
- Advanced oral and written communication skills in English for interacting with interdisciplinary teams, government representatives, and industry partners
- Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule.
Bonus points if you have:- Active DoD Security clearance
- Ph.D. in Computational Biology/Chemistry, Bioinformatics, Machine Learning, or related field
- Expertise in bioinformatics tools and databases for proteomics, metabolomics, and lipidomics.
- Knowledge of automation systems for laboratory workflows.
- Experience performing wet laboratory experimentation to generate or validate data.
- Collaboration with academic and industry partners on bioinformatics projects.
