Bioinformatics Scientist III

Job Description

About Science and Technology Corporation (STC):

STC is a science and engineering research and services support company with proven expertise and experience spanning research, development, test, and evaluation in areas including aerospace engineering, earth and atmospheric sciences, chemical and biological defense, military systems and technology, and software development.

• 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 apply experience 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.

Working with 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 expert 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.
• Lead 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:

• Ph.D. in Computational Biology/Chemistry, Bioinformatics, or related field
• Master’s degree in computational biology, bioinformatics, or a related field with additional experience in a computational research lab environment will be considered.

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Compensation & Benefits:

• Pay: From $97K - $110K per year based on education, experience, and qualifications
• Schedule: 40 hours per week
• 401K with up to 4% employer matching contribution
• 3 weeks (120 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 – 5 years of experience (after PhD) in a computational research lab environment
• Excellent 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
• Excellent 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
• Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule.

Bonus points if you have:

• Active DoD Security clearance
• Expertise in bioinformatics and ML 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.